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<h3>Job Description</h3>
Job DescriptionOur MissionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. We aim to advance athletic intelligence to new heights by leveraging simulation-based methods like Reinforcement Learning, augmenting them with model information. Reinforcement Learning Research Scientists will have proven hands-on research or industry experience focusing on one or more of these key areas: Learning-based locomotion, loco-manipulation, or ultra-mobile systems. Having practical hardware experience is essential for this role. If you are passionate about developing technology for robots and using it to advance their capabilities and usefulness, this team will be a great fit for you! This is a senior role. We are looking for experienced industry candidates. Ideally, looking for candidates who have experience working with Humanoids, Legged Robots, Quadrupedal, Locomotion and RL technology.Requirements
<ul>
<li>MS / PhD or equivalent industry experience in robotics, computer science, or related fields</li>
<li>Minimum of 2 years exp. 6+ years of experience in research and development</li>
<li>Ability to demonstrate technical proficiency in Reinforcement Learning, Control, Robotics, or Imitation Learning</li>
<li>Experience with sim-to-real for robotic hardware specifically legged robots or highly dynamic mobile vehicles.</li>
<li>Experience in working with perception-based control</li>
<li>Advanced programming skills in Python or C++</li>
<li>Expertise with deep learning frameworks such as PyTorch and robotic simulation</li>
<li>Proven track record in top-tier conferences and journals in Machine Learning, Robotics, Control, or related fields</li>
</ul>
Bonus
<ul>
<li>Knowledge of Model Predictive Control</li>
<li>Experience in combining model-based and data-driven approaches</li>
<li>Experience in working with Isaac-Gym, Isaac-Sim, or Orbit</li>
<li>Experience in working with ROS or ROS2</li>
<li>Experience with Docker, cloud computing, or similar applications</li>
<li>Experience with parallel programming (e.g., CUDA)</li>
</ul>
&nbsp;These attributes are great to have but not required. Candidates who lack these should not be discouraged from applying. The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established. &nbsp;Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.&nbsp; &nbsp;Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more. &nbsp;Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Research Scientist - Reinforcement Learning

<h3>Job Description</h3>
Job DescriptionOur MissionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. Research Scientists will have proven hands-on research experience with a focus in one or more of these key areas: Cognitive AI, Athletic AI, Organic Hardware Design or Robot Ethics.&nbsp; If you have a passion for developing technology for robots and use it to advance their capabilities and usefulness, you will want to join us!&nbsp;&nbsp; Responsibilities
<ul>
<li>Research focused on advancing robotic systems by developing exciting new ideas and providing solutions to complex problems</li>
<li>Collaborate on publications to be submitted at worldwide conferences</li>
<li>Apply yours and others’ research to real world problems</li>
<li>System Design using model based and data driven techniques</li>
<li>Creatively apply modern learning algorithms to real-world problems</li>
<li>Use your strong development skills to develop algorithms and improve systems</li>
<li>Working with fellow researchers and engineers to develop prototypes</li>
</ul>
Requirements
<ul>
<li>BS, MS or PhD in a robotics-relevant field</li>
<li>5+ years of experience in research and development</li>
<li>Good grasp of a broad set of techniques related to state and world estimation, active control of dynamic systems and planning/cognitive challenges of these types of systems</li>
<li>Strong development skills with at least one programming language</li>
<li>Experience with systems that have complex physical interaction (locomotion &amp; grasping)</li>
</ul>
Bonus
<ul>
<li>Proven track record of publications in top-tier conferences and journals in Machine Learning, Robotics, or related fields (e.g. CVPR, ICCV, ECCV, TPAMI, IJCV, NIPS, ICLR, ICML, IJRR, RSS, etc.) </li>
</ul>
 The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established. &nbsp;Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.&nbsp; &nbsp;Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more. &nbsp;Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Research Scientist

<h3>Job Description</h3>
Job DescriptionOur MissionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. The AI Institute robotics, ethics &amp; society team does forward-thinking, cross-disciplinary research on the societal impact of robotics. Our research aims to ground societal conversations about robotics with evidence, providing the data needed for decision makers to make informed choices about the integration and regulation of robotic systems. Our core research theme is robotics &amp; labor (future of work). Our approach is creative, rigorous, and highly collaborative. The research team brings together members from different disciplines, all of whom use scientifically grounded methodologies. The team chooses its own research topics and projects, working to identify and examine under-explored questions at the intersections of law &amp; policy, ethics, market forces, and robotics. We are committed to high-quality work on a few projects at a time, publishing only peer-reviewed research. Aside from doing independent research, the team is fully embedded at the institute. The team hosts institute-wide workshops and conversations, and engages with all of the research &amp; development at the Institute. Research Scientists will have a background in empirical, data-driven social science, including disciplines such as anthropology, sociology, economics, political science, STS, and other related fields. All researchers must have a proven track record of cross-disciplinary, collaborative research at the intersection of social and technical systems. We are hiring research scientists in two different tracks:Qualitative Research Scientist Track&nbsp;Quantitative Research Scientist Track Candidates should apply to the track that best fits their expertise. Both roles will work on projects at the intersection of robotics, labor, and the future of work.&nbsp; If you are passionate about investigating the societal implications of robots, and excited to be embedded in a cutting-edge robotics institute, this team will be a great fit for you! Responsibilities
<ul>
<li>Collaboratively design, execute, and support mixed-method research studies involving data collection and analysis</li>
<li>Prepare and co-author peer-reviewed publications</li>
<li>Engage with the robotics research &amp; development teams at the Institute</li>
<li>Other responsibilities as needed</li>
</ul>
Requirements for Qualitative Research Track
<ul>
<li>MS or PhD (or equivalent training/experience) in sociology, anthropology, Science &amp; Technology Studies (STS), or a relevant field</li>
<li>5+ years of research experience</li>
<li>Track-record of collaborative, cross-disciplinary research social science research</li>
<li>Experience collecting and analyzing qualitative data primarily using fieldwork methods. Familiarity with archival and survey research is a plus</li>
<li>Experience designing field research all the way from scouting partners to production of research results</li>
<li>Proficiency with Qualitative Data Analysis software (QDA)&nbsp;</li>
<li>Record of peer-reviewed publishing</li>
<li>Strong analytical and critical thinking abilities</li>
<li>Strong interpersonal, organizational, and communication skills, ability to work within a multidisciplinary environment</li>
</ul>
 Requirements for Quantitative Research Track
<ul>
<li>MS or PhD (or equivalent training/experience) in economics, political science, public policy, psychology, statistics, or a relevant field&nbsp;</li>
<li>5+ years of research experience working with large, complex datasets</li>
<li>Track-record of collaborative, cross-disciplinary social science research</li>
<li>Proficiency with statistical software (e.g., R, Python, Stata)</li>
<li>Proficiency with survey platforms (e.g., Qualtrics, Survey Monkey)</li>
<li>Experience collecting and analyzing data using causal inference methods (experimental and quasi-experimental)</li>
<li>Record of peer-reviewed publishing</li>
<li>Strong analytical and critical thinking abilities</li>
<li>Strong interpersonal, organizational, and communication skills, ability to work within a multidisciplinary environment</li>
</ul>
 Bonus
<ul>
<li>Experience with robotic systems</li>
<li>Labor or future of work expertise</li>
<li>Record of impactful peer-reviewed publications in top-tier conferences and journals</li>
<li>Experience working in both academic and industry research environments</li>
</ul>
 These attributes are great to have but not required for our candidates. Candidates who lack these should not be discouraged from applying.The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established. &nbsp;Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.&nbsp; &nbsp;Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more. &nbsp;Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Research Scientist - Ethics & Society

<h3>Job Description</h3>
Job DescriptionAbout Phoenix Tailings&nbsp;Phoenix Tailings is a rapidly-growing clean mining and metals production startup dedicated to sustainable and economic critical metals production. Our mission is to be the world's first fully clean mining and metals production company, producing the resources needed for the next generation of our economy.&nbsp;&nbsp; Why Phoenix Tailings&nbsp;At Phoenix Tailings, we believe that nothing great is ever accomplished alone or without the passion of people who push and motivate one another. If you are someone who shares our relentless pursuit of a better future, passion for innovation, and are excited about working with some of the top innovators in the world, then this is the place for you.&nbsp;&nbsp; Our Values:&nbsp;&nbsp;● You are only crazy if you are wrong, it’s ok to be wrong● Lead with Compassion● Be Resourceful● Listen● Hustle Who We Are Looking For:&nbsp;Phoenix Tailings is seeking a Senior Chemical Engineer to take a leading role in scaling our cutting-edge critical metals recovery processes from lab bench to pilot plant and beyond. You will own the application of mass and energy balances, help design process flows, and ensure the seamless transition of chemistry into scalable, efficient systems. Your work will directly accelerate our ability to produce essential materials cleanly, safely, and economically—pushing the boundaries of what’s possible in sustainable chemical engineering.&nbsp;Key Responsibilities
<ul>
<li>Translate lab-scale chemical processes into scalable unit operations&nbsp;&nbsp;</li>
<li>Design and develop process flowsheets for pilot systems across hydrometallurgical and metallurgical operations.&nbsp;</li>
<li>Lead scale-up efforts for new processes, including equipment specification, system integration, and risk analysis.&nbsp;</li>
<li>Analyze and optimize process performance to improve recovery rates, efficiency, and sustainability metrics.&nbsp;</li>
<li>Work closely with R&amp;D, mechanical engineering, and production teams to ensure seamless handoff from lab to pilot and pilot to production.&nbsp;</li>
<li>Identify bottlenecks and troubleshoot technical challenges in early-stage systems.&nbsp;</li>
<li>Support data collection and process modeling to guide decision-making and future system design.&nbsp;</li>
<li>Drive continuous improvement in process safety, environmental impact, and overall performance.&nbsp;</li>
</ul>
Qualifications:
<ul>
<li>BS, M.S., or Ph.D. in Chemical Engineering or related discipline.&nbsp;</li>
<li>5+ years of experience in chemical process development and scale-up.&nbsp;</li>
<li>Proven experience applying mass and energy balances to develop and optimize process flows.&nbsp;</li>
<li>Background in hydrometallurgy, separations, chemical recovery, or related high-complexity systems.&nbsp;</li>
<li>Familiarity with chemical simulation/modeling tools (e.g., HSC Chemistry, Aspen Plus, MATLAB).&nbsp;</li>
<li>Strong experimental design and data analysis skills.&nbsp;</li>
<li>Track record of delivering chemical processes from lab concept to pilot or production scale.&nbsp;</li>
<li>Passion for clean technology, resource sustainability, and building systems from the ground up.&nbsp;</li>
</ul>
We offer a competitive compensation package that is based on expertise. We also offer the following benefits:
<ul>
<li>Healthcare, we care about you and your family:&nbsp;100% Medical, dental, and vision coverage&nbsp;</li>
<li>Stock:&nbsp;Ownership in a fast-growing venture-backed company.&nbsp;</li>
<li>Family Focus:&nbsp;Parental leave and flexibility for families.&nbsp;</li>
<li>Time Off:&nbsp;Flexible vacation policy to encourage people to get out and see the world.&nbsp;</li>
<li>Team Fun:&nbsp;Regularly scheduled events, and celebrations.&nbsp;</li>
<li>Learning:&nbsp;Learning and development Opportunities to grow your skills and career.&nbsp;</li>
<li>Great team:&nbsp;Working with fun, hard-working, kind people committed to making a difference!&nbsp;</li>
<li>Flexible culture:&nbsp;We are results-focused. We don’t work at the office every day.&nbsp;</li>
</ul>
At Phoenix Tailings, we have an open culture that values learning, and we are looking to grow the team with enthusiastic individuals who share our vision of sustainable mining.&nbsp;&nbsp;&nbsp;Phoenix Tailings, Inc. is an Equal Opportunity Employer, and we value diversity at all levels. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability or genetic information, or any other applicable protected characteristics, and these characteristics will not be a factor for consideration of any work-related decisions (including but not limited to hiring, firing, compensation, and discipline).&nbsp;
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

2.2. Senior Chemical Engineer

<h3>Job Description</h3>
Job DescriptionAbout Phoenix Tailings:Phoenix Tailings is a rapidly growing clean mining and metals production startup dedicated to sustainable and economic critical metals production. Our mission is to be the world's first fully clean mining and metals production company, producing the resources needed for the next generation of our economy. We are seeking a Junior Chemical Engineer to join our dynamic team and contribute to the design, development, and optimization of innovative critical metals production systems. Why Phoenix Tailings:At Phoenix, we believe that nothing great is ever accomplished alone or without the passion of people who push and motivate one another. If you are someone who shares our relentless pursuit of a better future, passion for innovation, and are excited about working with some of the top innovators in the world, then this is the place for you. Our Values:● You are only crazy if you are wrong, it’s ok to be wrong● Lead with Compassion● Be Resourceful● Listen● Hustle Who We Are Looking For:Phoenix Tailings is looking for a Development Engineer I with a strong technical foundation and a desire to apply their knowledge to solving real-world process challenges in critical metals recovery. In this role, you’ll support the design, execution, and analysis of rare earth element processing technologies and contribute to building out the technical infrastructure that enables the future of clean manufacturing. This position is ideal for someone with early-career experience or a strong academic background in chemical process engineering, including working with mass and energy balances, PFDs, and P&amp;IDs.&nbsp;Key Responsibilities:
<ul>
<li>B.S. in Chemical Engineering, Metallurgical Engineering, Materials Science, or a related field&nbsp;</li>
<li>1–3 years of experience in chemical or metallurgical process development (internships and co-op experience welcome)&nbsp;</li>
<li>Familiarity with mass and energy balances, process modeling, and basic process calculations&nbsp;</li>
<li>Experience interpreting or developing PFDs and P&amp;IDs&nbsp;</li>
<li>Hands-on experience with laboratory or pilot-scale chemical equipment&nbsp;</li>
<li>Comfortable using tools for data analysis and reporting (Excel, Python, or similar)&nbsp;</li>
<li>Solid communication skills and ability to clearly document technical work&nbsp;</li>
<li>Familiarity with rare earth chemistry or hydrometallurgy is a plus&nbsp;</li>
<li>Driven by curiosity, mission, and a desire to help solve one of the most important resource challenges of our time&nbsp;</li>
</ul>
Qualifications:
<ul>
<li>B.S. or M.S. in Chemical Engineering, Metallurgical Engineering, Materials Science, or a related discipline&nbsp;</li>
<li>3–6 years of hands-on experience in process development, hydrometallurgy, or chemical processing&nbsp;</li>
<li>Proficiency in designing experiments and interpreting data to solve complex technical challenges&nbsp;</li>
<li>Demonstrated expertise in solid-liquid separation, precipitation, and chemical extraction techniques&nbsp;</li>
<li>Strong foundation in process engineering including mass and energy balance modeling&nbsp;</li>
<li>Experience with laboratory instrumentation and analytical tools (e.g., ICP-OES, XRD, SEM)&nbsp;</li>
<li>Clear, structured technical writing skills for documentation and reporting&nbsp;</li>
<li>Comfortable working in a fast-paced, iterative R&amp;D environment&nbsp;</li>
<li>Familiarity with rare earth chemistry and metallurgical challenges preferred&nbsp;</li>
<li>Experience with process simulation tools (e.g., HSC Chemistry, Aspen Plus) is a plus&nbsp;</li>
</ul>
We offer a competitive compensation package that is based on expertise. We also offer the following benefits:
<ul>
<li>Healthcare, we care about you and your family:&nbsp;100% Medical, dental, and vision coverage&nbsp;</li>
<li>Stock:&nbsp;Ownership in a fast-growing venture-backed company.&nbsp;</li>
<li>Family Focus:&nbsp;Parental leave and flexibility for families.&nbsp;</li>
<li>Time Off:&nbsp;Flexible vacation policy to encourage people to get out and see the world.&nbsp;</li>
<li>Team Fun:&nbsp;Regularly scheduled events, and celebrations.&nbsp;</li>
<li>Learning:&nbsp;Learning and development Opportunities to grow your skills and career.&nbsp;</li>
<li>Great team:&nbsp;Working with fun, hard-working, kind people committed to making a difference!&nbsp;</li>
<li>Flexible culture:&nbsp;We are results-focused. We don’t work at the office every day.&nbsp;</li>
</ul>
We offer a competitive compensation package based on expertise, including healthcare coverage (100% medical, dental, and vision), stock ownership, parental leave, flexible vacation policy, learning and development opportunities, and a great team culture that values making a difference and encourages results-focused work. At Phoenix Tailings, we have an open culture that values learning and growth, and we are looking for enthusiastic individuals who share our vision of sustainable mining. Phoenix Tailings, Inc. is an Equal Opportunity Employer, and we value diversity at all levels. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, age, disability, genetic information, or any other applicable protected characteristics. These characteristics will not be a factor for consideration of any work-related decisions, including but not limited to hiring, firing, compensation, and discipline.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

2.5. Chemical Development Engineer I

<h3>Job Description</h3>
Job DescriptionParallel Squared Technology Institute&nbsp;(PTI) is a non-profit research institute aiming to catalyze a leap in protein analysis technology and use it to explore new biological frontiers. PTI supports open research and educational opportunities supporting rapid career development for scientists, engineers, and mathematicians. Why?&nbsp;Protein dysfunctions directly cause many diseases, such as Alzheimer’s disease. Yet, proteins remain understudied because of technological hurdles. How?&nbsp;To resolve these limitations, PTI will develop mass tags enabling a new&nbsp;framework&nbsp;for multiplexed protein analysis by mass spectrometry towards achieving 100-fold increase in throughput. Scientists at and collaborating with the institute will use these gains to directly investigate disease mechanisms and resolve problems that have proven intractable for decades. Our proof of principle technology and strategies are outlined at:&nbsp;parallelsq.org. New career opportunitiesMembers of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.&nbsp;&nbsp; Summary of PositionWe are looking for an individual contributor with previous experience in ‘omics data interpretation,&nbsp; who will lead the design and development of new computational analysis pipelines. This position will involve analyses of mass spectrometry proteomics data in order to infer biological mechanisms at play in either the Alzheimer’s Disease or Immuno-Proteome Aging projects at PTI. The successful candidate will work in a highly interdisciplinary team environment with other scientists. In order to be seriously considered for this position, we require a cover letter as part of the candidate’s application.Responsibilities:
<ul>
<li>Develop and adapt pre-processing algorithms for mitigation of data collection artifacts</li>
<li>Work with biological project leads to define hypotheses and apply appropriate statistical framework</li>
<li>Design and develop optimized analysis pipelines for large ‘omics datasets</li>
<li>Perform deep and detailed analyses for data-intensive experiments with team members and communicate interpretable results</li>
<li>Hands-on development of interactive tools for data interpretation of high throughput proteomics datasets for other team members using RShiny, Python, D3, or other tools</li>
<li>Curate large-scale datasets for internal and external usage</li>
<li>Mentor scientists and research associates</li>
<li>Prepare internal reports and manuscripts as well as present results at internal or external scientific meetings as appropriate</li>
<li>Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others</li>
<li>Other duties as assigned</li>
</ul>
Qualifications:
<ul>
<li>Advanced degree in Statistics, Mathematics, Bioengineering, Computer Science, or other computational science.&nbsp;</li>
<li>Demonstrable professional or PhD experience working with professional biologists on single cell ‘omics questions</li>
<li>Strong understanding of generalized linear models and nonparametric regression, hypothesis testing, optimization, dimension reduction techniques, and machine learning algorithms</li>
<li>Advanced proficiency in R and/or Python</li>
<li>Demonstrable experience with data set alignment, batch correction, cell type assignment, differential abundance testing, and gene ontology mapping</li>
<li>Experience handling terabyte-scale biological data</li>
<li>Demonstrable experience with model validation: cross validation, bootstrapping, posterior predictive, or simulation-based model checking</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience with proteomics spectral library prediction</li>
<li>Must have single cell 'omics experience OR experience working with mass spectrometry data</li>
</ul>
We offer:
<ul>
<li>An opportunity to change the world and work with some of the smartest and the most talented experts from different fields.</li>
<li>Excellent medical, dental, and vision insurance with many $0 premium options for you and your family with several national and regional providers. Most employees have more than 20 plan options to choose from.</li>
<li>Company-paid group life, AD&amp;D, long- and short-term disability insurance</li>
<li>15 days PTO + 10 sick days per year</li>
<li>18 company holidays + your birthday off</li>
<li>$5,000 per year educational reimbursement</li>
<li>Up to 16 weeks paid parental leave</li>
</ul>
We aim to help fill a structural gap in today's R&amp;D system. We enable fundamental research that requires unusual levels of scale and coordination yet is not rapidly monetizable by industry. We’re bringing together top talent from academia, industry, and startups to build a new model for innovative R&amp;D. As an incubator within the Schmidt Futures Network, we identify high-impact scientific or technical research and development opportunities, ultimately defining and launching these projects as Focused Research Organizations.&nbsp;We are an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. We do not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other characteristic protected by applicable local, state, or federal law or company policy. We strive for a healthy and safe workplace and strictly prohibit harassment of any kind.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Computational Scientist - Single-Cell Algorithms

<h3>Job Description</h3>
Job DescriptionCompany Profile Founded in 1977, GMO is a global investment manager committed to delivering superior long-term investment performance and advice to our clients. We offer investment strategies and solutions where we believe we are positioned to add the greatest value for our investors. These include multi-asset class, public equity, public credit, and liquid alternative offerings. &nbsp;We manage approximately $68bn for a client base that includes many of the world’s most sophisticated institutions, financial intermediaries, and private clients. Industry-wide, we are well known for our focus on valuation-based investing, willingness to take bold positions when conditions warrant, and candid and academically rigorous thought leadership. Jeremy Grantham, GMO’s Co-Founder and Long-Term Investment Strategist, is renowned as an expert in identifying speculative investment bubbles and also as a leading climate investor and advocate.&nbsp;GMO is privately owned and employs over 430 people worldwide. We are headquartered in Boston, with additional offices in Europe, Asia and Australia. Our company-wide culture emphasizes commitment to clients, intellectual curiosity, and open debate. We celebrate and respect our differences, while embracing and valuing what each of us brings to work, as we know that diverse teams in an inclusive, caring environment achieve higher engagement and better client results. Please follow the prompts included in this job posting to apply. The application window for this role is anticipated to remain open until the job is filled, or as otherwise determined by GMO.&nbsp; Position Description:GMO is seeking a quantitative researcher to join our Systematic Equity Team. The candidate will work closely with researchers and portfolio managers to support the team’s rigorous research agenda. The team’s research process is structured to analyze significant amounts of historic, current, and projected financial characteristics as well as detailed macroeconomic data. This individual will work closely with other members of the team on various research and investment related topics.&nbsp; This will include model-building, data cleaning, portfolio analysis and integration with all available GMO data sources. This position is located in our Boston office with the opportunity to work a hybrid schedule.&nbsp; Responsibilities: •Work closely with team members to develop and to support investment research projects.&nbsp;•Enhance and expand our processes by conducting deep research on targeted projects using state-of-the-art modeling techniques.•Develop creative investment ideas independently and articulate why those ideas fit into our process.•Conduct in-depth financial accounting and capital markets research to support equity investment strategies.•Develop and implement quantitative models using a variety of valuation techniques, such as dividend discount models and free cash-flow models.•Design and implement solutions to make a positive impact on the investment research and analysis environment, and to increase efficiency, depth, breadth, and throughput of quantitative research capabilities.•Enhance both our bottom-up and top-down valuation models used for identifying investment opportunities.•Work closely with colleagues in Technology, Investment Data Solutions and across other investment teams to enhance existing databases and quantitative processes.•Support portfolio managers with ad-hoc research requests.•Provide support for portfolio construction and management activities.•Participate in periodic portfolio rebalancing.•Monitor portfolio positions and risk exposures and work with the execution team on trading strategies and analysis. Required Skills and Characteristics: •The ideal candidate will have 5-8+ years of relevant experience in quantitative investing.•An advanced degree in accounting, Ph.D. preferred.•Strong understanding of financial accounting principles and practices.•Deep knowledge of modern valuation techniques, including dividend discount models and free cash-flow models.•Proficiency in Python for quantitative analysis and model development.•The ideal candidate will have demonstrated the ability to:- Work independently or collaboratively as part of a team, with a strong work ethic and sense of ownership.- Form actionable plans for solutions.- Generate functional, efficient software and documentation.- Work in source control and advance a shared code base.- Effectively manage multiple projects with strong prioritization skills.- Learn technical skills in new domains quickly.- Show a passion for applied research and technology.•This person should have the ability to develop creative investment ideas on their own and clearly articulate the ideas.&nbsp;•Solid written and verbal communication skills are important and the ability to effectively communicate with a wide array of investment and technology professionals is critical. This is a reasonable, good faith estimate of the current salary range for this role. GMO’s salary range accounts for a wide array of factors that are considered in making compensation decisions including but not limited to skill sets and market demand for skills; level of experience and training; specific qualifications, performance, time in role/company, geographic location, and other business and organizational needs. &nbsp;In addition, this position is eligible for a discretionary annual bonus award, which award may be determined by individual, team, department and firm performance, and is subject to the terms of GMO’s compensation plan. This position is also benefits eligible. GMO’s comprehensive benefits program includes medical insurance, dental insurance, life insurance, long-term disability coverage, a 401(k)/profit-sharing retirement plan, open paid time off, leaves of absences, dependent care resources, tuition reimbursement, charitable gifts matching, flexible spending accounts, and commuter benefits.GMO is committed to the recruitment, employment, and promotion of all candidates equally, regardless of an individual's gender, race, color, national origin, ancestry, age, religion, pregnancy, marital status, sexual orientation, gender identity or expression, military or veteran status, genetic information, physical or mental disability (except where such disability is a bona fide occupational disqualification) or any other classification protected under federal, state or local law.

Quantitative Research Analyst

<h3>Job Description</h3>
Job DescriptionHere at Kelonia Therapeutics, we aren’t just a clinical company; we’re trailblazers in viral engineering, pushing the boundaries of in vivo lentiviral gene and cell therapy. We're not just a team; we're dreamers on a mission to bring the promise of cell and gene therapy to every patient in need. We've gathered a group of pioneers in cell and gene therapy to lead our journey, with extraordinary scientific founders at the helm, providing the cutting-edge technology that sets us apart. We're not just building a company; we're cultivating a culture that values both skill and care. Are you ready to be a part of our remarkable journey? We’re seeking a visionary Head of Research, reporting directly to the CEO, to set and lead our scientific vision, integrating discovery, translational, and clinical strategies into a unified, high-impact R&amp;D portfolio. In this role, you’ll set the portfolio’s course, build and empower world-class leaders, and guide transformative programs from concept to clinic. This isn’t just a Senior Leadership role, it’s a rare opportunity to define the trajectory of a fast-growing biotech, influence critical investment decisions, and deliver therapies that could impact the lives of patients worldwide. Join us at the forefront of innovation and help write the next chapter in gene therapy.&nbsp;What You will Do:
<ul>
<li>Define and lead the company’s end-to-end R&amp;D and discovery strategy, ensuring integration across discovery, preclinical, and clinical functions to maximize scientific impact, patient outcomes, corporate value and long-term growth.</li>
<li>Set the scientific vision, portfolio mix, and investment priorities across all therapeutic areas, establishing clear stage gates, kill criteria, and alignment to business runway and strategic milestones.</li>
<li>Oversee multiple R&amp;D verticals through direct leadership of VPs and functional heads, ensuring cross-functional coordination and execution excellence of IND-enabling activities to enable robust, timely, and compliant IND submissions with clear development paths.</li>
<li>Plan, resource, and prioritize in-house and outsourced pharmacology activities.</li>
<li>Build trusted, collaborative partnerships across the executive team and functional leaders to align science with strategy and drive unified decision-making across the organization.</li>
<li>Serve as the primary scientific representative to the Board of Directors, investors, and strategic partners, communicating vision, progress, and value inflection points.</li>
<li>Cultivate a high-performance scientific leadership team, fostering an innovative-driven culture that thrives on rigorous science, creativity, and execution excellence.</li>
<li>Establish strategic external collaborations, licensing opportunities, and partnerships to expand the company’s capabilities and pipeline.</li>
<li>Ensure integration of competitive intelligence, regulatory insights, and emerging scientific trends into portfolio and platform decisions.</li>
<li>Oversee the company’s intellectual property strategy, ensuring alignment between scientific advancement and corporate protection/positioning.</li>
<li>Develop, manage, and optimize the R&amp;D budget, ensuring strategic resource allocation that maximizes scientific impact and operational efficiency.</li>
</ul>
What You will Bring:
<ul>
<li>PhD, MD/PhD, or MS&nbsp;in Biology, Engineering, Medicine, or related Life Sciences discipline.</li>
<li>15+ years of progressive leadership in biotech, biopharma, or life sciences, with proven success in multi-program, multi-therapeutic area portfolios.</li>
<li>Deep expertise in cell and gene therapy platforms, with a proven track record of advancing transformative therapies from concept through clinical proof-of-concept across multiple therapeutic areas.</li>
<li>Strategic thinker with the ability to integrate competitive intelligence, regulatory trends, and scientific advances into corporate strategy.</li>
<li>Extensive experience engaging with Executives, Boards and investors, with the ability to inspire confidence and secure support for scientific priorities.</li>
<li>Demonstrated success in building organizations and leadership teams that consistently deliver innovative science and measurable business impact.</li>
<li>Recognized leader within the scientific, investor, and KOL communities.</li>
<li>Strong business acumen, with the ability to balance scientific opportunity with commercial viability and shareholder value creation.&nbsp;</li>
</ul>
At Kelonia, we’re serious about balance and growth. You’ll get Flexible Time Off, flexible scheduling that aligns with your needs and our objectives, a competitive benefits package (health, commuter, and more), and great on-site perks that include free parking, a state-of-the-art gym, and a food hall – all within a collaborative, inclusive team that invests in your development and makes big things happen together.&nbsp;Kelonia Therapeutics is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law. Kelonia does not accept unsolicited resumes from any source other than directly from candidates.&nbsp;&nbsp;Job Type: Full-timeWork Type: On-Site M-FLocation: Boston, MA
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Head of Research

<h3>Job Description</h3>
Job DescriptionPrincipal Data Scientist – (Gen AI, Machine Learning): Are you energized by the idea of innovating with Generative AI? Do you want to create global impact while tackling challenges at the forefront of Artificial Intelligence? Do you dream of building ground-breaking products that define the future of AI-driven network management? Then come, advance with us at Extreme.This is a greenfield opportunity to shape next-gen networking experiences at the cutting edge of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will help define every aspect of the user journey, product vision, and technical roadmap, and you will drive innovation from concept to delivery.There has never been a better time to join Extreme. With multiple acquisitions expanding our portfolio and market strategy, we are experiencing unprecedented growth worldwide. Recognized as a Technology Leader in the Gartner Magic Quadrant and a multi-year Best Employer award winner, Extreme is committed to a culture of diversity, inclusion, and equality, where every employee thrives because of their differences, not despite them.Our AI Core group is pioneering platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations power flagship Extreme products while enabling entirely new offerings. Together, we are driving a fundamental shift in how businesses manage networks by building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.At Extreme, innovation is not just encouraged, it is expected. Advance with us and help shape the future of network intelligence.Job Responsibilities
<ul>
<li>Define and drive the long-term data science and ML strategy, influencing both product direction and organizational priorities</li>
<li>Lead high-impact research initiatives in ML, GenAI, and Graph ML, push the boundaries of applied science, and establish best practices for scalable adoption</li>
<li>Partner with engineering and product leadership to align data science innovation with business goals, shaping platform and infrastructure investments</li>
<li>Mentor and guide staff- and senior-level scientists, set technical direction, and foster a culture of excellence and innovation</li>
<li>Represent the organization externally through publications, talks, and collaborations, strengthening the company’s thought leadership in AI and ML</li>
</ul>
Requirements:
<ul>
<li>Degree in Computer Science, Mathematics, or a related field</li>
<li>8+ years of experience in applied ML research and production deployment</li>
<li>3+ years of hands-on experience building Generative AI solutions such as RAG, AI Agents, or LLM fine-tuning in production</li>
<li>Experience with Graph ML and Graph technologies such as GNNs or GraphRAG in production</li>
<li>Proven track record of end-to-end ownership including design, experimentation, validation, deployment, and scaling of ML systems</li>
<li>Experience deploying solutions on cloud platforms such as AWS, Azure, or GCP</li>
<li>Demonstrated ability to solve highly complex, ambiguous, cross-domain problems with measurable business impact</li>
</ul>
Preferred Qualifications
<ul>
<li>MS or PhD in Computer Science, Machine Learning, or a related discipline</li>
<li>Experience with distributed Big Data and ML platforms such as Spark, Flink, Kafka, PySpark, or Lakehouse</li>
<li>Recognized track record in the ML and AI community through publications, patents, open-source contributions, or conference talks</li>
<li>Strong ability to influence at the organizational level by driving strategy and fostering cross-functional alignment</li>
</ul>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Principal Data Scientist (10042)

<h3>Job Description</h3>
Job DescriptionOur mission is to solve the most important and fundamental challenges in AI and Robotics to enable future generations of intelligent machines that will help us all live better lives. Team Overview:Robots need to make significant progress in manipulation performance and capabilities before they become commonplace in our lives. The Manipulation team is developing robot mechanisms and behaviors that enable smooth, efficient execution of manipulation tasks. Our goal is for robots to operate with human-like cadence and versatility, with enough generalization to perform multiple tasks within the same domain in any appropriate environment. Our Research Spans:Improving hardware for high-speed, high-strength, and dexterous manipulation, including underactuated manipulatorsUsing learning methods to develop robust capabilities for novel environmentsDeveloping parameterized skills and chaining them into long-horizon behaviorsApplying robust strategies for failure recovery in manipulation tasks Role Overview:We seek an Applied Scientist / Research Scientist to advance the state of the art in long-horizon, robust, dexterous manipulation learned from few demonstrations. The role involves researching, developing, and validating new algorithms and models for skill learning, composition, and real-world deployment. You will collaborate across hardware, software, and research teams to integrate and test these capabilities in physical robotic systems.Basic Qualifications:
<ul>
<li>PhD or equivalent experience in robotics, computer science, mechanical engineering, or related field</li>
<li>Master’s degree with several years of industry or applied research experience</li>
<li>Bachelor’s degree with significant and relevant hands-on industry experience</li>
<li>7 Years in Research and Development</li>
<li>Expertise in machine learning for control, imitation learning, and/or reinforcement learning</li>
<li>Experience with robot manipulation, motion planning, and perception systems</li>
<li>Proficiency in Python and C++</li>
</ul>
 Preferred Qualifications:
<ul>
<li>Publications in top-tier robotics or AI venues</li>
<li>Experience deploying algorithms on real robotic platforms</li>
<li>Knowledge of dexterous manipulation, task and motion planning, behavior abstractions, skill completion prediction, failure detection and recovery, and/or using machine learning models for long-horizon skill chaining. </li>
<li>Ability to solve problems rapidly in hands-on, real-world scenarios</li>
</ul>
The current reasonable and good faith estimate of the annual base salary range for this position is $128,100 - $237,900, which is based on a number of factors including, but not limited to, relevant skills and experience, educational background and certifications, performance and qualifications, market demand for the role, geographic location, and other organizational needs. An individual candidate may be considered for this position at a different job level, in which case the appropriate salary range will be provided to the candidate after their qualifications have been established. &nbsp;Employees who are new to the RAI Institute typically receive an offer that is between the minimum and the midpoint of the posted salary range to allow for growth within the range over time.&nbsp; &nbsp;Base pay is part of a competitive total compensation package that may include an annual bonus, a long-term cash incentive, monthly cell phone cost reimbursement, commuter cost subsidy, medical benefits, and more. &nbsp;Any final job offer will be determined based on our established compensation range for the role, the candidate’s experience and qualifications, internal parity, and market and business considerations. The advertised pay range is not a guarantee or promise of a specific wage.We provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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