field_job_occupational_field_parents_all

field_job_employment_type

job_organization_name

city

state

<h3>Job Description</h3>
Job DescriptionZoox is building the world's most advanced self-driving hardware and software solution. The efficiency demands of such a system require an expert fine tuning of both the compute hardware architecture as well as the algorithms and middleware that runs on it to achieve maximum throughput at the most optimal power levels.&nbsp; The Software Performance team’s mission is to analyze, optimize and provide guidance to the software and hardware teams in order to meet the required specifications.&nbsp; &nbsp; As a GPU performance software engineer within the Software Performance team, you will instrument, monitor, analyze and optimize GPU-based algorithms that are performance-critical for our solution. The scope for GPU usage ranges from traditional computer vision and deep learning architectures to complex geometric reasoning and multi-agent decision making. Your work will strongly influence design decisions of future compute platforms &amp; resource allocation.In this role, you will:
<ul>
<li>Build real-time instrumentation for performance monitoring (CPU, GPU, latency, memory) and develop offline benchmarking frameworks, tools, and scripts to evaluate &amp; analyze performance at scale in CI/vehicle, and establish budgets for next-gen architectures.</li>
<li>Analyze performance metrics to identify GPU hotspots and root causes, and propose and co-implement actionable solutions with component teams.</li>
<li>Support teams on bringing serial algorithms to the GPU to maximize compute utilization and improve overall latency.</li>
<li>Work as part of the Core team to design a middleware framework that promotes by default efficient and performant code development by maximizing CPU and GPU.</li>
</ul>
Qualifications
<ul>
<li>BS in computer science or related field and 3+ years of experience.</li>
<li>Strong knowledge of CUDA as applied to recent GPU microarchitectures (e.g., Ampere, Blackwell) and experience debugging/optimizing GPU kernels using tools like Nsight.</li>
<li>Strong knowledge of C++ and experience in large code bases, comfortable in Linux development environments.</li>
<li>Experience in development, debugging, and profiling of complex multiprocess systems (e.g., robotic systems, game engines).</li>
</ul>
Bonus Qualifications
<ul>
<li>Experience with GPU kernel development in a real-time environment, including PTX-level programming, CPU SIMD instructions (e.g., AVX intrinsics), and custom CUDA layers with frameworks like TensorRT &amp; XLA.</li>
<li>Hands-on work with ML model optimization (post-training quantization, layer pruning, etc) or hand-tuning GPU kernels (in OpenGL, CUDA, RocM or similar).</li>
<li>Proficiency with SQL, DataBricks, Looker, or other business intelligence tools.</li>
</ul>
Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to <a href="mailto:accommodations@zoox.com" target="_blank">accommodations@zoox.com</a> or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
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.

Software Engineer - C++ GPU Performance

<h3>Job Description</h3>
Job DescriptionSalary: 
 
MPS Baltic client OP Corporate Bank is part of OP Financial Group, the leading financial services group in Finland. OP Corporate Bank has been operating in Lithuania for 12 years, offers services to business customers and focuses on large companies.
 
CurrentlyOP Corporate Bank is looking for aData Scientistto join their team in Vilnius.
Do you have a passion for credit risk, data science, and automation? We invite you to make a deep dive into genuine banking expertise, managing credit risk, and solving substantial real-world financial challenges in a dynamic and forward-thinking environment.
 
This opportunity allows you to grow as a credit risk expert by applying cutting-edge data science techniques, collaborating with top professionals in Lithuania and Finland, and contributing to innovative banking solutions.
 
The Role:
 Improve existing and create new data-driven tools in DataBricks for efficiency and automation
 Contribute to the ongoing Azure cloud transformation in credit risk area
 Contribute to the optimization/automation of MLflow deployments
 Promoting best practices across department, contributing/organizing workshops
 Work with Python, Spark, SQL, and Git to manage and analyse data
 
The Person:
 2+ years of experience in data analysis, modelling, or machine learning
 Python &amp; SQL proficiency
 Experience with Git
 Strong analytical &amp; problem-solving skills
 Fluent Lithuanian and English (written &amp; spoken)
 Credit risk and/or Azure Databricks experience is a bonus
 
What is offered:
 Professional Growth: Work in a Scandinavian corporate culture that values learning and development
 Advanced Technology: Use Azure, Databricks, Python, and ML models in a cloud-based environment
 Impactful Work: Contribute to credit risk modelling, automation, and analytics that drive business decisions
 Collaboration: Work with top data professionals in Lithuania and Finland
 Competitive Package: Salary from 4500 gross, plus health insurance, lunch subsidies, event budget, parking, and more
 International Experience: Opportunity for business trips to Finland
Should you feel that your skills and experience match the above we would be delighted to receive your application. To apply in the strictest confidentiality, please send your CV marked Data Scientist to executive search company MPS Baltic by email:<a href="mailto:cv@mps.lt" target="_blank">cv@mps.lt</a>.
 
Only short-listed candidates will be contacted.
Additional information provided on ph.: +370 685 77785, Ina Skiauterien.
Check out more about OP Corporate Bank Lithuania branch on<a href="https://www.opbank.lt" target="_blank">https://www.opbank.lt</a>

OP Corporate Bank - Data Scientist

<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.
As a Senior Data Scientist, you will play a pivotal role in advancing Reify Health's data-driven solutions for clinical trials. In this position, you will drive the development of statistical models and machine learning algorithms to improve patient enrollment and trial management. You'll work in a highly regulated healthcare data environment, ensuring compliance with privacy standards while innovating on predictive analytics. This role involves close collaboration with cross-functional teams (especially ML Engineering) to translate complex data insights into practical, impactful tools for the clinical research community.
What You'll Be Working On
<ul>
<li>Site Randomization Forecasting: Develop/enhance forecasting models for site randomization and enrollment trends, enabling better planning and resource allocation across trial sites. </li>
<li>Patient Matching/Ranking Algorithms: Support projects to build algorithms that intelligently match patients to (or rank patients for) appropriate clinical trials, enhancing recruitment efficiency and patient inclusion. </li>
<li>Develop Other Advanced Statistical Models: Create and refine predictive models (Bayesian inference, regression analysis, time-series forecasting) to address other key clinical trial challenges and improve decision-making. </li>
<li>AI Monitoring and Bias Detection: Implement processes to monitor machine learning models in production, detecting bias or performance drift and ensuring models remain fair, accurate, and compliant. </li>
<li>Data Pipeline &amp; Tooling Development: Build and optimize data pipelines and analytical workflows using tools like AWS Athena, Redshift, SageMaker, and dbt, enabling scalable model training and deployment. </li>
<li>Regulatory Compliance in Data Science: Ensure all data science practices align with HIPAA, GDPR, and other privacy regulations, integrating compliance considerations into model development and data handling. </li>
<li>Cross-Functional Collaboration: Work closely with machine learning engineers, product managers, and other stakeholders to integrate models into products and clearly communicate insights and recommendations. </li>
</ul>
What You Bring to OneStudyTeam
<ul>
<li>Education: Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field (or equivalent professional experience). </li>
<li>Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment.</li>
<li>Statistical &amp; ML Expertise: Strong foundation in statistical modeling and machine learning techniques, including experience with Bayesian methods, regression analysis, and time-series forecasting. </li>
<li>Model Monitoring &amp; Fairness: Proficiency in evaluating model performance and bias, with the ability to implement AI monitoring tools and bias mitigation strategies to ensure ethical and reliable outcomes. </li>
<li>Technical Toolset: Advanced programming skills in Python (with libraries such as scikit-learn, PyMC, mlforecast, etc.) and SQL, as well as familiarity with data transformation tools like dbt. </li>
<li>Cloud &amp; Data Infrastructure: Hands-on experience with cloud-based analytics and ML services, especially AWS tools (Athena for querying, Redshift for data warehousing, SageMaker for model development/deployment).</li>
<li>Regulated Data Handling: Experience working with sensitive healthcare or clinical trial data under regulations like HIPAA and GDPR, demonstrating a deep commitment to data privacy and security best practices. </li>
<li>Collaborative Communication: Excellent teamwork and meticulous verbal/written communication abilities, with a track record of partnering with engineering and product teams to translate data science work into actionable business solutions. </li>
<li>Domain Knowledge: Understanding of clinical research or health-tech environments is highly valuable, including insight into clinical trial operations and a passion for improving patient outcomes through data.</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 Data Scientist

<h3>Job Description</h3>
Job Description
MERL is seeking a highly motivated and qualified intern to conduct research on applying foundation models to manufacturing scenarios. The focus will be on leveraging large-scale pretrained models (e.g., vision-language models, multimodal transformers, diffusion policies) to specialize generalist manipulation policy to obtain high success rate in diverse but specific tasks. Potential research topics include few-shot policy learning, multimodal grounding of multiple sensor modalities to robot actions, and adapting foundation models for precise control and high success rate.
The ideal candidate will be a senior Ph.D. student with a strong background in machine learning for robotics, particularly in areas such as foundation models, imitation learning, reinforcement learning, and multimodal perception. Knowledge on large-scale Vision-Language-Action (VLA) and multimodal foundation models is expected. The internship will involve algorithm design, model fine-tuning, simulation experiments, and deployment on physical robot platforms equipped with cameras, tactile sensors, and force/torque sensors. The successful candidate will collaborate closely with MERL researchers, with the expectation of publishing in top-tier robotics or AI conferences/journals. Interested candidates should apply with an updated CV and relevant publications.
Required Specific Experience 
<ul>
<li>
Strong background in machine learning for robotics, particularly foundation models (e.g., pi_0, OpenVLA, RT-X, etc.) and imitation learning.
</li>
<li>
Experience with simulation environments such as Mujoco, Isaac Gym, or RLBench.
</li>
<li>
Experience with physical robot platforms and sensors (vision, tactile, force/torque).
</li>
<li>
Proficiency in Python, PyTorch, and modern deep learning frameworks
</li>
<li>
Strong publication record in robotics, machine learning, or AI venues
</li>
</ul>
Internship Details
<ul>
<li>Duration: ~3 months</li>
<li>Start Date: Summer 2026 (flexible based on mutual agreement)</li>
<li>Goal: Publish research at leading robotics/AI conferences and journals</li>
</ul>
The pay range for this internship position will be 6-8K per month.
Mitsubishi Electric Research Labs, Inc. "MERL" provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, MERL complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
MERL expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of MERL’s employees to perform their job duties may result in discipline up to and including discharge.
Working at MERL requires full authorization to work in the U.S and access to technology, software and other information that is subject to governmental access control restrictions, due to export controls. Employment is conditioned on continued full authorization to work in the U.S and the availability of government authorization for the release of these items, which might include without limitation, obtaining an export license or other documentation. MERL may delay commencement of employment, rescind an offer of employment, terminate employment, and/or modify job responsibilities, compensation, benefits, and/or access to MERL facilities and information systems, as MERL deems appropriate, to ensure practical compliance with applicable employment law and government access control restrictions. 
In addition to base pay, interns receive a relocation stipend, covered travel to and from MERL, and a monthly Charlie Card for local commuting. Interns are invited to participate in weekly social gatherings and professional development opportunities, including research talks by both internal and external speakers. Interns who meet the 90-day waiting period are also eligible for health insurance coverage. MERL provides immigration support for qualified candidates as needed. Employment is considered “at-will,” and the Company reserves the right to modify base salary or any other compensation program at any time, including for reasons related to individual performance, departmental or Company performance, and market conditions.

Internship - Foundation Models in Robotics for Manufacturing

<h3>Job Description</h3>
Job Description
Title: Project Manager 5
Location: Boston, MA
Type: Hybrid (3 days onsite per week)
Duration: 6-8 month contract
Job Title: Investment Management Project Manager, Mastery Tier4 is seeking an experienced project manager to support Investment Management and Market Risk initiatives. In this role, you will report directly to the Portfolio Lead and be accountable for the planning, day-to-day execution, management, implementation and reporting of projects while using the defined project management (PM) processes and standards. The PM process is designed to support the PMO mission to increase the value impact of change efforts across corporate functions. As a Project Manager, you will execute by following a standardized process for project initiation, planning, execution, and close. Project managers will partner and support project sponsors and portfolio lead in developing required detailed project artifacts tailored to project complexity. Investment Management domain experience is a must with preference to Market Risk background. An understanding of securities and derivatives preferred. As the Project Manager, you will: Partner with Project Sponsors and Functional Managers to compile Discovery artifacts such as a Cost Benefit Analysis (CBA), Project Charter, high level Resource Plan, and high-level Milestone Plan to be reviewed to receive Discovery Funding Develop and maintain required Detailed Planning artifacts and manage plan execution Determine project scope and manage scope execution Develop financial forecasts, record cost variance, anticipate and address delivery challenges, and request budget changes if needed following associated Change Request Process Develop high-level milestones during Discovery? and develop detailed project schedules during Detailed Planning Based on complexity assessment and with guidance on each project, refine the resource plan, develop a RACI Matrix, conduct a Key-Person Risk Assessment, and Third-Party Support Needs Assessment Ensure early identification, resolution, and escalation of project risks through maintenance of Risk and Issue Log and project Pre-Mortem activity Accountable for meeting all business requirements from development through implementation Skills: The Minimum Qualifications 5+ years of experience leading projects impacting core Investment Manager, Financial and Capital Market systems and business processes Bachelor's degree? or equivalent experience and expertise 7+ years of project management experience? Executive presence with ability to quickly build rapport and cultivate relationships; high-level of emotional intelligence Excellent communication and presentation skills; track record of developing and delivering high- impact presentations Astute business judgment, analytic, creative, and problem-solving skill, with experience applying these skills to acquire and develop strategic partnerships Proficient experience with Project Management tools including but not limited to: MS Office Suite (Project, Teams, Excel, PowerPoint and Word) Proven success in delivering projects on time, within budget, and to scope? Strong understanding of project management methodologies i.e. Agile or Waterfall? Excellent communication (written and verbal) and interpersonal skills Project Management Professional (PMP) certification or equivalent Education: Bachelor's degree?

Project Manager 5

<h3>Job Description</h3>
Job DescriptionBenefits: 
<ul>
<li>401(k)</li>
<li>401(k) matching</li>
<li>Competitive salary</li>
<li>Dental insurance</li>
<li>Free uniforms</li>
<li>Health insurance</li>
<li>Paid time off</li>
<li>Training &amp; development</li>
<li>Vision insurance</li>
</ul>
 About Us We are a leading aerospace manufacturer specializing in precision-machined engine components for OEMs and the U.S. Department of Defense. Our team is committed to the highest standards of quality, compliance, and innovation in machining and inspection. Position Overview We are seeking an experienced Quality Technician with strong background in aerospace manufacturing and precision inspection. The ideal candidate will have hands-on inspection expertise, ability to write and run Coordinate Measuring Machine (CMM) programs, and at least 5 years of quality assurance experience in an aerospace environment. Key Responsibilities 
<ul>
<li>Develop, edit, and execute CMM inspection programs to support production and first article inspections.</li>
<li>Perform dimensional inspection of complex aerospace components to verify compliance with AS9100, OEM, and DoD standards.</li>
<li>Interpret engineering drawings, GD&amp;T, and customer specifications.</li>
<li>Support root cause analysis, corrective action, and continuous improvement initiatives.</li>
<li>Collaborate with machinists, engineers, and quality leadership to maintain high product conformance standards. </li>
</ul>
Qualifications 
<ul>
<li>Minimum 5 years of quality/inspection experience in aerospace manufacturing.</li>
<li>Proven experience programming and operating CMMs (PC-DMIS, Zeiss Calypso, or equivalent).</li>
<li>Strong knowledge of GD&amp;T and precision measurement methods.</li>
<li>Familiarity with AS9100, ISO, and NADCAP requirements.</li>
<li>Proficiency in using standard metrology equipment (micrometers, bore gages, height gages, surface plates).</li>
<li>Ability to work independently and as part of a cross-functional team. </li>
</ul>

Quality Technician - Aerospace industry

<h3>Job Description</h3>
Job Description
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Senior Data Scientist to join our Pricing and Sourcing Science team. This person will leverage advanced statistical modeling and machine learning to understand short-term and longer-term pricing and sourcing dynamics at play in our marketplace. Coupled with rigorous experimentation, you will build scalable and adaptive decision making systems that power core features of our custom manufacturing marketplace. 
Responsibilities:
<ul>
<li>Develop and implement statistical and machine learning models to optimize pricing, lead times, and sourcing strategies.</li>
<li>Design and evaluate experiments (A/B tests, multi-armed bandits, contextual bandits) to enable data-driven decision-making.</li>
<li>Assess competitive pricing trends, market dynamics, and customer behavior to generate strategic insights and drive business growth.</li>
<li>Build and maintain scalable data pipelines with a focus on code quality, reproducibility, and best practices for deployment.</li>
<li>Utilize cloud platforms (AWS, GCP, or Azure) to efficiently process and model large-scale datasets.</li>
<li>Collaborate across teams and clearly communicate insights to both technical and non-technical stakeholders, shaping strategy at the leadership level.</li>
</ul>
Qualifications:
<ul>
<li>Education:</li>
<ul>
<li>Bachelor's degree in Applied Math, Computer Science, Statistics, Engineering, or a related field (Master's or Ph.D. strongly preferred).</li>
</ul>
<li>Experience:</li>
<ul>
<li>5+ years of experience in Data Science, Machine Learning, or Applied Econometrics.</li>
<li>Proven track record developing predictive and causal inference models, preferably in pricing, marketplace, or supply chain contexts. Experience with experimental design and statistical inference in real-world business settings.</li>
</ul>
<li>Technical Skills:</li>
<ul>
<li>Proficiency in Python (pandas, NumPy, SciPy, scikit-learn, TensorFlow/PyTorch preferred).</li>
<li>Strong SQL skills and experience querying large-scale data platforms (e.g., Snowflake, Redshift).</li>
<li>Familiarity with scientific software principles (version control, reproducibility, testing).</li>
<li>Experience with cloud computing (AWS preferred).</li>
</ul>
<li>Business &amp; Communication:</li>
<ul>
<li>Ability to translate data insights into business recommendations.</li>
<li>Strong communication skills, comfortable presenting technical findings to executive stakeholders.</li>
</ul>
<li>Preferred Qualifications:</li>
<ul>
<li>Experience in the Manufacturing or Logistics Industry: Familiarity with the unique challenges and opportunities within these industries.</li>
</ul>
</ul>
The estimated base salary range for new hires into this role is $140,000- $182,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Senior Data Scientist, Pricing & Sourcing

<h3>Job Description</h3>
Job Description
Quality Technician
Location
Wilmington, MA
Onsite, Hybrid or Fully Remote
Onsite
Status
Full-Time
Reports To
Quality Manager
FLSA Status
Non-Exempt/Hourly
Management Position
No
 Overview
Kovalus Separation Solutions (KSS) is looking for Chemical Operators to join their team. We provide on the job training and a great team atmosphere. The right person must be open to learning, taking constructive feedback, and have the drive to be successful. In this role you will follow detailed chemical mix instructions, processes, and procedures to create membrane solution.
At Kovalus Separation Solutions (KSS), we are dedicated to transforming the landscape of separations by leveraging synergistic technologies such as membrane filtration, ion exchange, evaporation, drying, and more. Our solutions help customers in the food and beverage, dairy, life science, and industrial markets produce high-quality products through concentration and purification, remove contaminants and recycle valuable process chemicals, achieve high-purity water, and treat wastewater for suitable discharge or even reuse to increase sustainability in their operations. Our success is rooted in the collaborative teamwork of our exceptional employees across the world. As KSS continues to expand, we are always seeking outstanding professionals in all aspects of our business. Come join our team today and help us deliver Separation Technologies for a Better Future™. 
This role is not available for Sponorship now or in the future. 
Responsibilities
Typical activities include:
<ul>
<li>Ownership of the Customer Returns and Investigations Laboratory, RMA (Returned Material) room and Inspection room. Responsible for their safety, cleanliness, organization </li>
<li>Support Customer Care Program by owning Customer Returns and Investigations work. This includes organizing Investigation meetings, managing material that has been returned from customers, conducting some simple hands-on work and writing draft reports to summarize the investigations </li>
<li>In charge of the facilities calibrations in the campus. Including organizing equipment, scheduling with external vendor. Coordinating with internal Production and Maintenance and maintaining calibrations records. </li>
<li>Conduct First Article Inspections and Receiving Inspections, and issue internal reports and identify Nonconforming Materials. </li>
<li>Participate Internal Audits and occasional Supplier Audits </li>
<li>Support External Customer audits as needed </li>
<li>Review test data as compared to specifications to determine if product is compliant and able to ship. Sign certificate of quality. </li>
<li>Other tasks related to the Kovalus Quality management, that may be deemed necessary </li>
</ul>
REQUIRED SKILLS AND EXPERIENCE:
<ul>
<li>Bachelors degree in Chemical Engineering or related Science disciplines</li>
<li>Microsoft Office at a basic level (Word, Excel, PowerPoint);</li>
<li>Able to lift up to 30 lbs. Job will require the person to, bend, reach, lift, kneel, and be on their feet for a couple of hours at a time.</li>
</ul>
Preferred skills that will put you ahead: 
<ul>
<li>1 + years’ experience working in a Manufacturing environment with exposure to Quality management;</li>
<li>Basic Knowledge of ISO 9001:2015 and ISO audits</li>
<li>Basic Knowledge of ERP systems</li>
<li>Good organizational skills, self-driven;</li>
<li>Able to prioritize and organize daily tasks</li>
<li>Excellent people skills and ability to communicate clearly verbally and through written communication;</li>
<li>Good organizational skills, self-driven;</li>
<li>Able to prioritize and organize daily tasks.</li>
</ul>
Physical Requirements:
<ul>
<li>Must be able to ascend and descend ladders, stairs, and in proximity to loud equipment.</li>
</ul>
<ul>
<li>Must be able to lift and carry or otherwise move up to 50 pounds occasionally.</li>
<li>Must be able to see and respond to at-risk situations.</li>
<li>Must be able to wear personal protective gear when in industrial locations.</li>
</ul>
<ul>
<li>Must be able sit for longer periods of time as well as move about throughout the office and production, / laboratory environment.</li>
</ul>
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Kovalus offers a comprehensive package that includes: Medical (4 plan options), Dental (2 plan options) and Vision insurances; 401K (match &amp; fixed company contribution); health savings and flexible spending accounts; company provided basic life insurance policy with the option of selecting additional voluntary life insurance for self, spouse or dependents; disability insurances (short-term policy is company paid &amp; long-term is split between company and employee); voluntary insurance plans for accident, critical illness and hospital indemnity; business and personal travel insurance; 10 paid holidays; vacation time; sick time; employee assistance program; educational assistance program; referral bonus; bereavement leave. All benefits are subject to applicable plan and program terms (including eligibility terms) and may be subject to change.
Compensation-$19.57-$24.38
 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Career Roadmap:
The next opportunity from this position is: Quality Technician II
 Monday-Friday 8am-5pm can be a little flexible

Technician, Quality

<h3>Job Description</h3>
Job Description
Senior Data Scientist
Onsite/ possible Hybrid 3 days onsite – Westborough, MA
 
Company Overview
LG Energy Solution Vertech, Inc. (LGES Vertech) is a full-service energy storage system supplier and integrator. Using our core strengths of expert service to our customers, unparalleled safety, and excellence in manufacturing, we bring standardized, fully integrated energy storage systems to a rapidly growing worldwide market. Our systems address our customers' needs to reduce capital equipment and installation costs while enhancing system-level performance and reliability using automated monitoring systems and analytics across the battery, power conditioning, and auxiliary systems. Our AEROS® energy operating system is the engine of innovation to provide advanced control functions, allowing our customers to maximize the value of their energy storage assets. Our service capabilities include advanced monitoring and analytics, scheduled maintenance, augmentation, and auxiliary system upgrades. The combination of excellence in battery technology and production, coupled with nearly two decades of energy storage integration, makes LGES Vertech a supplier and integrator in the power and energy markets.
LGES Vertech empowers and expects its team members to assume responsibility and make good decisions while maintaining a team environment that fosters collaboration and innovation. Our diverse and growing team enjoys competitive salaries, generous benefits, and flexible working hours. 
For more information about LGESVT, please visit <a href="http://www.lgensol-vt.com" target="_blank">www.lgensol-vt.com</a>. 
 
Position Overview LGES-Vertech is seeking a highly motivated Senior Data Scientist to join our AI &amp; Data Science team. This role will be the key driver in the research, design, and deployment of our Advanced Energy Optimization core engine for power market and its associated software solution, built for battery energy storage systems (BESS). You will act as a subject matter expert, applying advanced AI/ML, optimization, statistical techniques to maximize the commercial value of BESS assets.
 
This is a high-impact, hands-on role for a technically deep and creative problem-solver. You will directly influence how data science enhances the commercial value, availability, and performance of our BESS fleet by building and deploying an end-to-end intelligent trading system.
 
Key Responsibilities
<ul>
<li>Drive the end-to-end development of the energy optimization engine, integrating with trading algorithms, from initial R&amp;D and algorithm prototyping to production deployment.</li>
<li>Utilize a deep understanding of operations research and optimization principles to create algorithms that determine the most profitable optimization strategies for BESS assets, considering physical constraints and market rules.</li>
<li>Design, build, and deploy predictive models for forecasting energy market fundamentals and risk assessment, critical for the optimal BESS trading strategies.</li>
<li>Work closely with cross-functional teams, including product, energy market analysts, engineering, and DevOps, to define requirements, integrate models into production pipelines, and deliver scalable, cloud-integrated data products. </li>
<li>Stay abreast of cutting-edge AI/ML and optimization research, applying new techniques like reinforcement learning and deep learning to enhance energy trading model performance.</li>
<li>Lead the transition of AI/ML models from research to production, ensuring robust, scalable, and efficient software development practices, including modular code, query optimization, and documentation.</li>
<li>Leverage expertise in handling large-scale, noisy time-series data to analyze market trends, evaluate model performance, and derive actionable insights.</li>
<li>Serve as a technical resource and mentor for junior team members, contributing to the strategic technical roadmap for the AI/Data Science team.</li>
</ul>
 
Job Requirements
Required Qualifications:
<ul>
<li>Master’s degree in Computer Science, Data Science, Electrical Engineering, Operations Research, or a related quantitative discipline.</li>
<li>6+ years of experience in data science or applied ML, with at least 3 years industry experience.</li>
<li>Strong Python development skills, including production-grade software practices and modular codebases.</li>
<li>Deep understanding of machine learning (supervised and unsupervised), deep learning, and statistical modeling.</li>
<li>Expertise in time series modeling, forecasting, and anomaly detection.</li>
<li>Hands-on experience working with large-scale, imperfect datasets and tools such as Polars, Pandas, NumPy, scikit-learn, SQL.</li>
<li>Experience with deep learning frameworks like TensorFlow, PyTorch.</li>
<li>Familiarity with cloud platforms: AWS, Azure, GCP, Databricks, or Snowflake.</li>
<li>Comfortable in Linux environments and with version control systems like Git.</li>
<li>Proficiency in using Jira for Agile project management.</li>
<li>Excellent written and verbal communication skills and ability to collaborate across diverse global teams.</li>
<li>Must be legally authorized to work in the U.S. without employer sponsorship.</li>
</ul>
 
Preferred:
<ul>
<li>Ph.D. in Computer Science, Data Science, Electrical Engineering, Operations Research, or a related quantitative discipline.</li>
<li>Familiarity with BESS topology and energy storage systems.</li>
<li>Experience with forecasting and optimization in wholesale electricity markets.</li>
<li>Familiarity with MLOps tools for model deployment, monitoring, and lifecycle management.</li>
<li>Familiarity with CI/CD pipelines and integrating ML models into DevOps workflows.</li>
<li>Ability to mentor junior team members and contribute to technical roadmap discussions.</li>
</ul>

<h3>Job Description</h3>
Job Description
Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems.
We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems — and eager to grow in a fast-moving, high-impact team.
This opportunity can support remote work within the United States, with occasional travel.
What You'll Be Doing:
You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day-to-day responsibilities include:
<ul>
<li>Designing and training large models for predicting surrounding agents, AV behaviors, and end-to-end planning systems by executing high-value experiments based on collaborative input from other machine learning engineers</li>
<li>Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities</li>
<li>Timely release of major model updates, including analysis of both off-line and on-road evaluation data</li>
<li>Staying up to date with the latest trends in our fast-moving industry, and proposing new architectures and network designs</li>
<li>Maintaining a high-quality training and evaluation code-base, including portions of our training stack dedicated to dataset generation and evaluation</li>
</ul>
What We're Looking For:
<ul>
<li>Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. </li>
<li>In-depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer-based architectures, autoregressive decoder architectures etc.</li>
<li>Experience designing, training, and analyzing neural networks/transformer-based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi-object tracking, multi-agent predictions. </li>
<li>Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods</li>
<li>Knowledge or course experience of generative models such as VLM, VLA etc. </li>
<li>Experience with PyTorch or other Python-based deep learning frameworks</li>
<li>Experience working with large data sets, data curation, and augmentation. </li>
</ul>
Bonus Points
<ul>
<li>Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.)</li>
<li>Project or internship experience on VLM, VLA and other foundation models for robotics and self-driving. </li>
<li>PhD in machine learning, generative AI, computer vision, or robotics vision</li>
<li>Project experience working on autonomous vehicles or related fields</li>
<li>Experience in deploying models into real-world environments</li>
<li>Strong programming skills in C++ and/or CUDA programming</li>
</ul>
The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. 
Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
Salary Range$142,000—$190,000 USD
Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.
Our journey is always people first.
We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.
Higher purpose, greater impact.
We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. 
Scale up, not starting up.
Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.
Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit <a href="http://www.Motional.com" target="_blank">www.Motional.com</a> and follow us on Twitter, LinkedIn, Instagram and YouTube.
Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

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