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<h3>Job Description</h3>
Job Description
Position Overview
We are seeking a highly skilled and motivated NPI Engineer to join our Littleton engineering team. The ideal candidate will be responsible for managing new product introduction (NPI) activities for both security systems and medical equipment integration projects. This role requires a deep understanding of hardware integration, manufacturing process control, and compliance with industry standards including AS9100 and ISO 9000.
Key Responsibilities
• Lead the end-to-end NPI process, from design validation to production readiness.
• Collaborate with design engineering, quality, and production teams to ensure seamless transition from prototype to volume manufacturing.
Develop comprehensive work instructions, assembly procedures, and test documentation for:
• Mechanical and electromechanical assemblies
• Software configuration and operating system implementation
• Firmware, BIOS, and IPMI setup processes
• Manage product configuration, BOM creation, work instructions, and documentation within the PLM system.
• Ensure all processes comply with AS9100 (Aerospace) and ISO 9000 quality standards.
• Support client engineering teams on technical discussions, product qualification, and design for manufacturability (DFM) improvements.
• Identify risks and propose engineering solutions during POC and pilot phases.
• Participate in ECO/MCO processes, ensuring traceability and controlled implementation.
• Provide training and technical support to production and test engineering staff.
Required Qualifications
• B.Sc. in Electrical, Mechanical, or Computer Engineering (or equivalent experience).
• 3+ years of experience in NPI, manufacturing engineering, or hardware integration.
• Strong familiarity with AS9100 and/or ISO 13485 quality systems.
• Experience with PLM and ERP systems.
• Proven ability to interpret and apply engineering documentation, BOMs, and schematics.
• Hands-on understanding of assembly, testing, and configuration of complex electronic systems.
• Excellent problem-solving and communication skills.
• Ability to work cross-functionally with global teams.
Preferred Qualifications
• Experience in security, medical, or industrial computing industries.
• Familiarity with Monday.com, Ansible-based automation, or test automation frameworks.
• Exposure to regulatory compliance and traceability documentation in controlled industries.
• Knowledge of IPC standards and electromechanical integration.
Company DescriptionHIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines. 
<h3>Company Description</h3>
HIPER Global US is a global leader in providing application-specific computing solutions. We offer a full range of world-class hardware platforms, both off-the-shelf and custom-built. Our value-add services include design, turnkey manufacturing, custom rugged, logistics, and support which allow our customers to focus on their core competencies and meet product scheduling deadlines.

NPI Engineer (Computer-based systems)

<h3>Job Description</h3>
Job Description
Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a DDI Engineer for our client in the Financial Services domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately.
Duration: Full-time
Location: Merrimack, NH or Westlake, TX (Hybrid - 2 weeks Onsite, 2 weeks Remote in a month)
Salary: $130,000/Annually
Role: DDI Engineer
Primary Skills: DNS
Role Description: The DDI Engineer must have 5+ years of experience.
The Skills You Bring:
- 3–5 years of experience supporting network and DDI (DNS, DHCP, IPAM) infrastructure
- Hands-on experience with BIND, Infoblox, or other DDI solutions
- Strong ability to troubleshoot DNS and DHCP issues
- Experience managing and deploying cloud-based infrastructure
- Familiarity with observability tools for monitoring server environments
- Proficiency in Python, Ansible, or Shell scripting
- Working knowledge of Red Hat Enterprise Linux
Responsibilities:
- Communicate clearly and effectively, whether you're collaborating with teammates or presenting technical concepts to non-technical audiences.
- Take the initiative to identify and resolve issues before they impact service
- Ability to work independently or as part of a team.
- Attention to detail helps you spot anomalies in DNS configurations and logs that others might miss.
- Bring a structured approach to problem-solving and can explain your thought process to others.
- Adaptable and open to learning new tools and technologies to improve infrastructure reliability and performance.
- Understand the importance of documentation and knowledge sharing to support team success.
The Value You Deliver:
- Supporting and maintaining critical DNS and DHCP infrastructure to ensure reliable name resolution and IP address management across enterprise environments
- Coordinating with internal teams to implement changes, troubleshoot issues, and optimize performance of DDI systems
- Monitoring and analyzing DNS metrics, traffic, and logs to proactively identify and mitigate potential service disruptions
- Integrating observability tools to enhance visibility into system health and performance, enabling faster incident response and root cause analysis
- Collaborating with cloud and network engineering teams to align DNS architecture with evolving hybrid and multi-cloud strategies
Education: Bachelor’s degree
Experience: Minimum 5+ years of experience
Relocation: This position will not cover relocation expenses
Travel: No
Local Preferred: Yes
Note: Must be able to work on a W2 basis (No C2C)
Recruiter Name: Himanshu Dhar
Recruiter Phone: 484.383.7196
Benefits:
This is a direct hire position, and the hired applicant will receive our client’s benefits package.
Mastech Digital is an Equal Opportunity Employer - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

DDI Engineer

<h3>Job Description</h3>
Job DescriptionDescription:
New Ecology, Inc. is seeking an engineering candidate with 3-5 years of experience for the position of Energy Engineer II in it's Boston, MA office. This position is part of our growing Decarbonization Division. The Decarbonization Engineering team works with building owners and developers to provide services that reduce carbon emissions and improve building performance, operation, resiliency, and resident health and comfort. Services include benchmarking building energy performance, assessing existing conditions and developing scopes of work for improvement, estimating savings and cost, predicting compliance with regulations, assisting with implementation tasks and more.
The Energy Engineer will provide technical and construction management support to decarbonization projects in the New England region. Work will require travel to client sites primarily in Massachusetts, and skills such as written and oral communications, comprehension of utility data and use thereof, building systems and energy auditing processes. This person will work with the team on program planning and ensuring services and results are delivered in compliance with utility programs. and client expectations. A typical work day may include: meet and interact with facilities managers and contractors on site to conduct energy audits, explore opportunities for upgrades of existing mechanical systems, prepare scopes of work for installation of efficiency upgrades, seek and evaluate competitive bids, conduct post-installation site inspections and verify work is done to specifications. New Ecology will be rolling out an emerging service in New England to help owners plan for decarbonization over time, and this person will assist in that effort. We are seeking a candidate with a mechanical engineering or related degree and experience with HVAC systems. 
Duties and Responsibilities:
Reporting to New Ecology, Inc.’s Director of Engineering, the candidate will also collaborate extensively with project managers and other technical staff, as well as client’s staff. Specific tasks will include:
<ul>
<li>Conducting ASHRAE energy audits, including site assessments of mechanical, plumbing, and electrical systems and building enclosures;</li>
<li>Preparing and delivering written audit reports;</li>
<li>Analyzing energy usage and calculating savings using spreadsheet or energy modeling tools;</li>
<li>Developing recommendations for energy efficient upgrades to building envelopes, plumbing, HVAC, lighting, appliances, on-site power generation, and other energy and water systems;</li>
<li>Estimating implementation costs and conducting cost-benefit analysis of upgrades; and</li>
<li>Conducting quality control inspections of completed projects, including preparation of site visit reports to document project conditions with supporting photo descriptions.</li>
<li>Provide guidance and mentorship to junior engineers and interns, fostering skill development in energy auditing and project management.</li>
<li>Support training initiatives, including internal knowledge sharing on building science, decarbonization strategies, and efficiency technologies.</li>
</ul>
Qualifications:
New Ecology typically seeks to hire multidisciplinary, lifelong learners who naturally seek ever-deeper understanding of building and community sustainability and a desire to share and grow adoption of best practices to support New Ecology’s purpose and goals. A Director of Decarbonization in a nonprofit focused on affordable multifamily housing should possess a blend of technical expertise, leadership skills, and a deep understanding of sustainability, affordable housing, and business development. Here's a detailed outline of qualifications:
Required Qualifications:
<ul>
<li>A bachelor’s degree in Mechanical Engineering or related field;</li>
<li>5 years of experience in energy auditing;</li>
<li>3-5 years of experience in energy efficiency and/or HVAC design;</li>
<li>Experience in evaluation of building mechanical systems and other building systems, HVAC design, and energy efficiency consulting work;</li>
<li>Understanding of building science, energy-efficient buildings, renewable energy systems, climate change and a curiosity to continually learn more;</li>
<li>Strong interest in improving building performance to reduce energy use and enhance occupant comfort;</li>
<li>Physical ability to inspect all aspects of buildings, including accessing basements and roofs, working outside, climbing stairs/ladders, and the ability to handle and carry equipment up to 40 pounds;</li>
<li>Proficiency with Microsoft Office.</li>
<li>A valid driver’s license.</li>
</ul>
The ideal candidate will also have:
<ul>
<li>EIT or PE, preferred</li>
<li>Certifications such as CEM, BPI Multifamily, preferred.</li>
<li>Demonstrated knowledge of residential construction and building systems;</li>
<li>Experience in construction or home performance contracting;</li>
<li>Experience facilitating bidding and pre-construction meetings with general contractors and subcontractors to review project goals, coordinate roles and responsibilities, and address questions regarding implementation of high-performance construction and retrofit projects;</li>
<li>Ability to manage time effectively and within project budget constraints;</li>
<li>Ability to be responsible for projects and deliverables;</li>
<li>Strong writing skills and experience writing reports for clients;</li>
<li>Knowledge of utility rebate programs;</li>
<li>Experience auditing multifamily, and public buildings.</li>
</ul>
Schedule:
Full time, exempt. Regular travel to job sites and meetings throughout the New England area. Occasional travel to our Mid-Atlantic offices and other job sites.
 
Work Arrangement: This position is hybrid, requiring two regular in-office days per week at our Boston, MA office. In addition, the role includes on-site client or field visits as needed. Employees are permitted to work from home before or after site visits, depending on scheduling and operational needs.
 
Hiring Range: $80,000 - $105,000 (based on experience).
The full salary range for this role, which includes growth potential over time, is $79,000 – $133,000. However, most new hires are brought on within the hiring range of $79,000 – $105,000. 
Compensation:
Competitive pay and generous benefits package. Professional development is a priority, and we provide financial assistance for training and certifications. 
To Apply:
Please submit your resume and a thoughtful cover letter explaining why you would be a good fit for this position.
 
NEI is an Equal Employment Opportunity and Affirmative Action Employer and looks forward to an inclusive hiring process. It encourages a broad range of applicants, including candidates from diverse backgrounds and cultures, particularly candidates of color and LGBTQ candidates.
Requirements:

Energy Engineer II

<h3>Job Description</h3>
Job Description
Mentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, PR, Boston, MA &amp; San Francisco, CA and we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America.&nbsp;
Essential Functions:
<ul>
<li>Operate, maintain, troubleshoot, repair, and conduct all required periodic and preventive maintenance on all engine room equipment to include, but not limited to, boilers, chillers, pumps, electric motors, water softeners, electric generators, and hot water generators. Keep and maintain accurate operation records.</li>
<li>Record and report completed repairs and items that require further attention.</li>
<li>Standard shift is 6:00 AM to 2:00 PM; however, flexibility to work other shifts is required to support coverage during planned PTO or unforeseen circumstances.&nbsp;</li>
</ul>
Education Requirements:
<ul>
<li>Must have Stationary Engineer License or Commonwealth of Massachusetts 1st or&nbsp;2nd Class Engineer License.</li>
<li>Control room experience (BAS, BMS) preferred</li>
<li>Must have or willing to obtain a Massachusetts Wastewater Operator Grade I license.</li>
</ul>
Experience Requirements:
<ul>
<li>5-9 years of experience in the utility's operation and/or maintenance is required.</li>
<li>Previous experience working within the Pharmaceutical, Biotechnology, Medical Device, Food and Beverage, and Healthcare. Industries with thorough working knowledge of cGMPs are preferred.</li>
<li>Must be willing to work any and all shifts.</li>
</ul>
 Mentor Technical Group es un empleador que ofrece igualdad de oportunidades y todos los solicitantes calificados recibirán consideración para el empleo sin importar raza, color, religión, sexo, orientación sexual, identidad de género, información genética, origen nacional, estado de veterano protegido, estado de discapacidad o cualquier otro grupo protegido por ley.
Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law.
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M8qZWTW45X

Operating Engineer - (1st or 2nd Class Engineer License)

<h3>Job Description</h3>
Job Description
Display Engineer 1900S-5
Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research &amp; Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.
Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.
Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment. Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.
We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E Ink │ Our Company)
About the position:
E Ink is seeking a creative hands-on scientist or engineer to design complex control schemes for cutting edge display products. The role requires experience with control systems, deep learning, and programming, with an ability to contextualize the impact of a low-level control scheme to display integration and end use by individual consumers.
In this position, you will design and qualify deep learning-based control schemes from a very early stage, develop and support them until in mass production as a part of a global team. You will design, investigate, and provide initial demos of products driven by your control schemes to demonstrate the viability of material exiting research and entering development. You will collaborate with a multidisciplinary team doing fundamental research in colloid science to improve and maintain the performance of the material as the product transitions into mass production. Finally, you will help deploy the methods you develop to a global team to run them as a part of mass production of new, exciting, and vibrantly colorful displays.
You’ll also join a thriving community of researchers and engineers advancing control schemes across E Ink’s product lines, while pushing the boundaries of how deep learning can be applied at E Ink.
Key responsibilities: 
<ul>
<li>Develop advanced control schemes using deep learning and nonlinear optimization for electrophoretic displays</li>
<li>Create, refine, and deploy scalable software workflows for control design and integration by a large global team</li>
<li>Conduct experiments with prototype displays, electronics, and optical measurement equipment</li>
<li>Design and implement realistic use-case testing, including demos for customers and quantitative evaluation of prototype performance</li>
<li>Translate customer feedback into actionable insights for control algorithms and prototype improvements</li>
<li>Differentiate between physical hardware limitations and control scheme performance issues through simplified, quantitative tests</li>
<li>Clearly communicate findings and recommendations to a global, multidisciplinary team</li>
</ul>
Qualifications: 
<ul>
<li>B.S. or M.S. with 2 years of industry experience or Ph.D.</li>
<li>Relevant fields of study include Electrical Engineering, Computer Engineering, Mechanical Engineering, Applied Physics, Applied Mathematics, or a related field</li>
<li>Strong programming skills, with demonstrated experience developing large-scale software used by others</li>
<li>More than 1 year of experience solving challenging nonlinear optimization problems</li>
<li>More than 1 year of experience with model-based control or design of a real-world system. It is ideal if the model were deep learning-based but it is not mandatory.</li>
<li>More than 1 year of experience with electronics hardware (oscilloscopes, power supplies, function generators, cameras, Arduinos, DAQs, or other electronics)</li>
<li>Demonstrated ability to work independently with physical prototypes and perform holistic system testing</li>
<li>Excellent communication skills for cross-functional collaboration</li>
</ul>
Preferences: 
<ul>
<li>More than 2 years of experience with deep learning model development</li>
<li>More than 2 years of experience with model predictive control using deep learned models</li>
<li>More than 2 years of experience in industry performing commercialization (not research and development)</li>
<li>Coursework and work experience relevant to bifurcation/catastrophe theory</li>
<li>Interest in visual art, human perception of color, or display technology</li>
<li>Familiarity with display technologies or other electro-optical systems</li>
<li>Experience designing customer demos or product prototypes in a commercialization setting</li>
</ul>
 Benefits:
<ul>
<li>Competitive total compensation package</li>
<li>Medical, dental and vision on 1st day</li>
<li>Company 401K match</li>
<li>20 PTO days</li>
<li>Generous sick leave policy</li>
<li>Casual day to day work environment</li>
<li>Hybrid/flexible work environment (for some positions)</li>
</ul>
E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.
Salary Range Disclosure: The annual base salary range for this position is $120,000 to $150,000 not including any variable pay. The total compensation package may include performance-based incentives, discretionary bonuses, and other variable pay components. The salary range for this position reflects a reasonable estimate at the time of posting and may vary based on factors such as experience, skills, education, certifications, and location.

Senior Display Engineer 1900S-5

<h3>Job Description</h3>
Job DescriptionFounded in 2015, Shield AI is a venture-backed deep-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include the V-BAT and X-BAT aircraft, Hivemind Enterprise, and the Hivemind Vision product lines. With nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit <a href="http://www.shield.ai" target="_blank">www.shield.ai</a>. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.&nbsp; Job Description: This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalities. An ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenarios. These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards.&nbsp; Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land. We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defenseWhat you'll do:
<ul>
<li>Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision.</li>
<li>High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments.</li>
<li>Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios.</li>
<li>Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior.</li>
<li>Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms.</li>
<li>Deployment &amp; Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions.</li>
<li>Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development.</li>
<li>R&amp;D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission.</li>
<li>Program Support &amp; Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback.</li>
<li>Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events).</li>
</ul>
Required Qualifications:
<ul>
<li>BS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experience&nbsp;</li>
<li>Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.&nbsp;</li>
<li>Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS).</li>
<li>Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system design.&nbsp;</li>
<li>Significant experience with unmanned system technologies and accompanying algorithms (specifically air domain)&nbsp;</li>
<li>Experience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validation.</li>
<li>Strong problem-solving skills, with the ability to troubleshoot and optimize system performance.</li>
<li>Excellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environment.</li>
<li>Ability to obtain a SECRET clearance.&nbsp;</li>
</ul>
Preferred Qualifications:
<ul>
<li>Experience applying ML/RL techniques in autonomy pipelines.</li>
<li>Background in collaborative behaviors, swarm robotics, or distributed decision-making.</li>
<li>Familiarity with tactical behaviors for unmanned systems in DoD or government programs.</li>
<li>Work on behaviors applicable across air, ground, and maritime vehicles.</li>
<li>Hands-on experience supporting flight demos or live exercises.</li>
<li>Experience with UCI and OMS Standards</li>
</ul>
#LI-ED1#LC Full-time regular employee offer package: Pay within range listed + Bonus + Benefits + Equity Temporary employee offer package: Pay within range listed above + temporary benefits package (applicable after 60 days of employment) Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information. ### Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to&nbsp;equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.&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.

Senior Engineer, Autonomy - Tactical Behaviors (R4128)

<h3>Job Description</h3>
Job Description
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes. Our cloud-based platform, StudyTeam, brings research site workflows online and enables sites, sponsors, and other key stakeholders to work together more effectively. StudyTeam is trusted by the largest global biopharmaceutical companies, used in over 6,000 research sites, and is available in over 100 countries. Join us in our mission to advance clinical research and improve patient care.
One mission. One team. That's OneStudyTeam.
By joining our team as a Senior Machine Learning Engineer, you will play a pivotal role in building cutting-edge AI products that directly impact how new therapies reach patients. We're looking for an experienced ML engineer who is passionate about turning advanced AI research into scalable, real-world solutions. You thrive on solving complex problems, pay close attention to detail, and consistently seek to automate and improve processes. You shine as a collaborator and excel as an individual contributor, with the courage to tackle challenging problems and the humility to learn and adapt. Your initiative and discipline allow you to thrive while working remotely, and your high degree of empathy and communication skills makes you the kind of colleague everyone wants on their team. As an integral member of our fast-growing organization, you will leverage AI to transform clinical research and improve patient care.
What You'll Be Working On:
<ul>
<li>Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes. Your work will deliver scalable machine learning solutions to complex, real-world problems in clinical research.</li>
<li>Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility. You'll also help expand our AI knowledge base architecture to support these innovative solutions.</li>
<li>Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale. You'll use technologies like Python (and Clojure), AWS services (Athena, Bedrock, SageMaker, etc.), dbt, Prefect, and CI/CD automation with monitoring to ensure models are reliable and up-to-date.</li>
<li>Collaborate across teams of data scientists, product managers, designers, engineers, and domain experts to integrate AI capabilities into our platform (including Care Access products). Ensure these AI solutions seamlessly support and enhance clinical research workflows for end-users.</li>
<li>Continuously learn and innovate. Stay up-to-date with the latest developments in ML/AI (LLMs, NLP, probabilistic modeling, etc.) and proactively bring new ideas to the team. You'll have the freedom to experiment with cutting-edge techniques and turn promising prototypes into production features that drive our mission forward.</li>
</ul>
What You'll Bring to OneStudyTeam:
<ul>
<li>Extensive ML engineering experience: 5+ years of hands-on experience building and deploying machine learning solutions in production at scale. Proven ability to implement end-to-end ML pipelines from data ingestion to model serving for real-world applications used by real people.</li>
<li>Strong programming and data skills: Proficiency in Python and its ML ecosystem (pandas, scikit-learn, TensorFlow/PyTorch), with clean and efficient coding practices. Comfortable working with large datasets, writing complex SQL queries, and leveraging modern data processing frameworks. Experience with functional programming (e.g. Clojure) is a plus but not required.</li>
<li>Cloud and MLOps expertise: Experience with modern cloud infrastructure (AWS or similar) and containerization tools like Docker. Familiarity with MLOps best practices such as CI/CD pipelines, automated testing, and monitoring model performance/data drift to ensure reliable, scalable deployments.</li>
<li>Deep ML/AI knowledge: Strong understanding of machine learning fundamentals (model selection, training, evaluation, feature engineering) and statistical modeling. Familiarity with NLP and large language models is important.</li>
<li>Analytical problem-solving: Ability to break down complex problems and devise effective, efficient ML solutions. You balance pragmatic engineering with scientific rigor, ensuring models are not only accurate but also performant and maintainable in production.</li>
<li>Mission-driven and business-focused mindset: A passion for our mission to speed up clinical trials and improve patient outcomes. Empathy for patients, clinicians, and researchers drives you to build unbiased AI solutions.</li>
</ul>
We value diversity and believe the unique contributions each of us brings drives our success. We do not discriminate on the basis of race, sex, religion, color, national origin, gender identity, age, marital status, veteran status, or disability status.
Note: OneStudyTeam is unable to sponsor work visas at this time. If you are a non-U.S. resident applicant, please note that OneStudyTeam works with a Professional Employer Organization.
As a condition of employment, you will abide by all organizational security and privacy policies.
This organization participates in E-Verify (E-Verify's Right to Work guidance can be found here).

Senior Machine Learning Engineer

<h3>Job Description</h3>
Job Description
SUMMARY:&nbsp; 
The Senior Image Processing Engineer works at a high level with the entire life cycle of data classification algorithms and image processing, specifically for medical imaging, including analyzing data, writing reports, developing methods for feature extraction and classification, and researches basic to advanced image processing algorithms, gives presentations, and creates visual interpretations of data. Works on target detection and tracking, video georeferencing, implementing an image processing system, enhancing new software, and enabling immersive augmented and virtual reality experiences. Develops algorithms for real 3D images and accurate wireless tracking.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES
<ul>
<li>Have proven experience building reliable, secure, and scalable software solutions using modern cloud-based paradigms</li>
<li>Keep customers first in a DevOps model</li>
<li>Hands-on implementation of scalable Image processing solutions for the healthcare domain, using DICOM standard</li>
<li>DICOM environment configuration and setup of DICOM services like Store, Storage commitment, Query/Retrieve, and Modality Worklist</li>
<li>Develop and verify software algorithms that perform compression, segmentation, contour detection</li>
<li>Experience migrating DICOM data</li>
<li>Learn quickly and iterate rapidly in an evolving product landscape</li>
<li>Design distributed systems, DNS cache, data pipelines, platform APIs</li>
<li>Drive entire features, mentor junior developers, and cultivate a positive work environment</li>
<li>Strictly uphold the privacy and security of patient data obtained from our healthcare partners</li>
</ul>
REQUIRED EDUCATION AND EXPERIENCE
<ul>
<li>5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software</li>
<li>Experience in developing with C # and/or C++</li>
<li>3 years of DICOM development and troubleshooting experience</li>
<li>Strong knowledge (3 years or more) of DICOM standards, having developed or extended servers such as dcm4che, Orthanc, etc.</li>
<li>Prior experience developing healthcare components (PACS, VNA, RIS) and workflows</li>
<li>Experience with one or more of DICOM, HL7 is a plus</li>
<li>Experience building DICOM-based integrations using IHE XDS standards for interoperability across healthcare systems</li>
<li>Experience with DICOM tools like DCMTK/JDICOM/OpenDICOM</li>
<li>Experience debugging native dlls, binary formats is a plus</li>
<li>Prior work on containers, Kubernetes is a plus</li>
<li>B.S. in Computer Science or related field. An M.S. or Ph.D. is a plus</li>
</ul>
&nbsp;
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Sr. Image Processing Engineer

<h3>Job Description</h3>
Job Description
Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character.
We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world?
Learn more about our unique culture and history.
Job Opportunity: 
BHSI is seeking an analytical and technically minded, passionate Engineer or Senior Engineer with expertise in wind vulnerability assessment and risk modeling to join our Catastrophe Engineering and Analytics (CAT E&amp;A) team. CAT E&amp;A is an innovative and versatile technical team conducting catastrophe risk evaluations, developing independent solutions and models, and providing quantitative insured loss metrics that inform underwriting decisions.
The successful candidate will join the team responsible for conducting research and developing solutions for catastrophe risk assessment and should have strong research and development experience with catastrophe models or other risk assessment tools. Primary duties will involve research and development of internal views for hurricane wind risks. Contributions include undertaking wind and other perils risk evaluation using vendor models and internal models, assisting with individual underwriting decisions, and performing risk accumulation analyses. 
We welcome applicants at both the Engineer and Senior Engineer levels. Title and responsibilities will be commensurate with experience, education, and qualifications. The role can be based in our San Ramon, CA, Boston, MA, or Atlanta, GA office.

Duties &amp; Responsibilities:
<ul>
<li>Conduct research on wind vulnerability of buildings and other structures for the development of internal catastrophe models.</li>
<li>Conduct global wind risk evaluation using vendor models and internal models.</li>
<li>Explain wind risk modeling concepts and results to underwriters to inform risk underwriting decisions.</li>
<li>Conduct periodic training for underwriters.</li>
<li>Work with our team to incorporate BHSI’s view of risk into catastrophe modeling tools and platform.</li>
<li>Contribute to all aspects of natural catastrophe analytics.</li>
</ul>

Qualifications, Skills and Experience:
<ul>
<li>PhD degree in Civil or Wind Engineering, or related discipline</li>
<li>Strong understanding of wind engineering and design of buildings and other structures for wind. Previous catastrophe modeling and wind vulnerability assessment experience is a plus</li>
<li>Knowledge of probability and statistics.</li>
<li>Strong programming skills (e.g., R, Python, MATLAB, SQL)</li>
<li>Proficiency in geospatial analytics</li>
<li>Strong written and verbal communication skills</li>
<li>Highly motivated, detail oriented, and team player</li>
</ul>

BHSI Offers:
<ul>
<li>A competitive package and exciting growth opportunities for career-oriented teammates.</li>
<li>A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders.</li>
<li>A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework.</li>
<li>Benefits that support your life and well-being, which include:</li>
</ul>
<ul>
<li>
<ul>
<li>Comprehensive Health, Dental and Vision benefits</li>
<li>Disability Insurance (both short-term and long-term)</li>
<li>Life Insurance (for you and your family)</li>
<li>Accidental Death &amp; Dismemberment Insurance (for you and your family)</li>
<li>Flexible Spending Accounts</li>
<li>Health Reimbursement Account</li>
<li>Employee Assistance Program</li>
<li>Retirement Savings 401(k) Plan with Company Match</li>
<li>Generous holiday and Paid Time Off</li>
<li>Tuition Reimbursement</li>
<li>Paid Parental Leave</li>
</ul>
</li>
</ul>
The base salary range for this position is $110,000 to $150,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture.
NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Wind Risk Engineer

<h3>Job Description</h3>
Job Description
At Code Metal, we transform vast datasets, advanced AI models and high-performance infrastructure into actionable intelligence. As a Machine Learning Engineer, you will play a critical role in designing, training and deploying production-grade AI systems that drive decision-making at scale. This is a hands on position where technical excellence, experimentation and collaboration converge to deliver solutions with real world impact.
<ul>
<li>Build robust, scalable pipelines for model training and inference, ensuring reliability and reproducibility. </li>
<li>Implement, refine and extend core models and frameworks to achieve state of the art performance. </li>
<li>Design, execute and analyze experiments to translate research insights into actionable AI solutions. </li>
<li>Collect, clean and synthesize high quality data for training models, both in the wild and generated. </li>
<li>Review the latest literature, implement new techniques, and integrate them into production-ready systems. </li>
<li>Provide technical leadership through code reviews, design discussions, and best practice guidance.</li>
</ul>
Why Code Metal?
<ul>
<li>Impactful work: your models support decisions that shape complex systems and operations. </li>
<li>High-velocity environment: small, focused teams with rapid iteration cycles. </li>
<li>Ownership and responsibility: every engineer contributes directly to production systems that matter.</li>
</ul>
Requirements
<ul>
<li>Bachelor’s degree in Computer Science or a closely related field </li>
<li>2+ years experience training and deploying deep learning models </li>
<li>3+ years experience in full-stack software engineering</li>
<li>Proficient in Python and familiar with frameworks such as PyTorch and HuggingFace </li>
</ul>
Preferred Qualifications
<ul>
<li> Advanced degree (MS/PhD) in Computer Science or related field </li>
<li> Lead author publications at peer-reviewed conferences such as NeurIPS, ICLR or ICML </li>
<li> Experience with large scale LLM training in distributed computing environments</li>
</ul>
Benefits
<ul>
<li>Health care plan with 100% premium coverage, including medical, dental and vision.</li>
<li>401k with 5% matching.</li>
<li>Paid Time Off (Uncapped Vacation, plus Sick &amp; Public Holidays).</li>
<li>Flexible hybrid work arrangement.</li>
<li>Relocation assistance for qualifying employees.</li>
</ul>

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