Research and development engineer jobs in Providence, RI - 1,293 jobs

A leading robotics company in Waltham is seeking a Principal Mechanical Engineer for its Spot robot team. You will lead cross-functional teams to develop and implement complex robotic subsystems. The ideal candidate must hold a BSME with at least 10 years of relevant experience, including advanced skills in CATIA and strong technical writing. This position offers a competitive salary range and generous benefits including medical, dental, vision, 401(k), and paid time off. #J-18808-Ljbffr

About the role At Parallel Fluidics, we are building infrastructure to power the next generation of life science tools. As our Principal Mechanical Engineer, you will lead our most mission‑critical engineering projects, set the standard for technical excellence, and shape the processes that drive our product development and manufacturing. The ideal candidate is a proven engineering leader with deep expertise in electromechanical system design, design‑for‑manufacturing, and automation. Please apply if you are excited to create an outsized impact by driving breakthrough products from concept to scale at a rapidly growing startup. Responsibilities Engineering leadership Serve as principal architect of the engineering process at Parallel Lead our most mission‑critical engineering projects Act as a technical expert on other internal projects Identify opportunities to improve our engineering systems and tools Mentor junior and senior engineers across disciplines Report progress and key insights to company leadership Product development Own the process to bring Parallel's next‑generation hardware products from concept to scale Identify and vet high‑volume manufacturing partners Transfer high‑volume products from in‑house manufacturing to third‑party manufacturers Manufacturing systems Find opportunities to improve our in‑house designed manufacturing equipment Design experiments and test methods to optimize manufacturing processes Collaborate with the manufacturing team to identify gaps and opportunities for improvement Qualifications Required Bachelor's Degree in Mechanical Engineering or a related field 10+ years of experience in high‑performing engineering organizations Strong understanding of product development, design‑for‑manufacturing, machine design, and automation Proven track record of bringing electromechanical systems to market Excellent communication and project management skills Expertise in 3D CAD software (e.g., SolidWorks, Autodesk Fusion, or equivalent) Preferred Familiarity with cleanroom environments and microfabrication processes Knowledge of regulatory and safety standards for laboratory instrumentation Experience building microfluidic technologies What We Offer A collaborative and innovative work environment where your ideas shape our future. Opportunities to work on groundbreaking technologies in life sciences and microfluidics. Comprehensive benefits, including health, dental, vision, and life insurance coverage. Equity options to share in the company's growth and success. We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal‑opportunity employer and welcome people of all different backgrounds, experiences, and perspectives. #J-18808-Ljbffr

About us We are an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)-an AI Copilot for design and manufacturing. Our mission is to fundamentally reinvent how physical products are designed and built, dramatically accelerating the pace of product development. About the Role You'll play a critical role in designing EGI: AI that understands how to design, reason, and build like an experienced mechanical engineer. In this role, you'll use your deep knowledge of mechanical design and manufacturing to create high-quality reference models, engineering workflows, and datasets that power our AI systems. You'll embed engineering judgment into the training loop and shape how machines learn to solve real-world design and manufacturing problems. Responsibilities Design and build high-quality mechanical components and assemblies in CAD to serve as ground truth for training and evaluating AI systems. Define and maintain standards for model quality, metadata, and annotation to ensure consistency and reliability across datasets. Collaborate closely with ML, software, and product teams to shape dataset requirements and influence model behavior through representative engineering examples. Manage and guide a team of external contractors, including writing SOPs, reviewing output quality, and ensuring timely delivery of data assets What we're looking for Bachelor's or Master's degree in Mechanical Engineering or related field. Strong foundation in machine design, product development, and design for manufacturing (DFM). Experience with one or more CAD platforms (e.g., Siemens NX, SolidWorks) with the aptitude to pick up new ones quickly. Strong attention to detail and appreciation for data/model quality. Excellent written and verbal communication skills, especially when documenting processes or communicating across teams. Experience managing external contractors or vendors, including writing clear standard operating procedures (SOPs), reviewing work quality, and providing feedback. Bonus Points Experience working with Software/ML teams. Experience with CAD automation and parametric model generation. Understanding of how large language models (LLMs) or other ML systems are trained and evaluated. #J-18808-Ljbffr

A leading biotechnology firm in Boston seeks a Senior Mechanical & Automation Engineer. This role involves developing and automating manufacturing solutions for innovative therapies. Candidates should have extensive experience in automation development, mechanical design, and a strong understanding of cGxP principles. This is a five-day-a-week role requiring onsite presence for three days weekly. Compensation ranges from $75 to $90 per hour, with eligibility for overtime pay. #J-18808-Ljbffr

The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Principal Artificial Intelligence & Machine Learning Engineer I/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminate innovative patient therapies and scientific discoveries around the world, and reduce the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Meeting and consulting with physician scientists requiring machine learning & AI support and designing plans and solutions, participating in their research activities, as well as supporting them in the grant writing, and leading research efforts when required. Interpreting complex machine learning & AI information. Summarizing and presenting results to senior leadership. Monitoring new developments in the field and has vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. Minimum Education: Master's degree required; PhD preferred. Minimum Experience: 8 years of relevant experience required with Master's degree or 7 years of relevant experience required with PhD. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. Experience managing at least one person is preferred. KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED: Strong team player with the ability to leverage the many excellent groups and resources at DFCI and Harvard more broadly and build collaborative strategies. Ability to communicate and solve problems effectively, track record in serving a variety of diverse customers and projects and of leading teams. Ability to work independently, prioritize, and manage people if needed, within an environment with rapidly changing priorities. Experience to teach three or more of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi‑Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $154,000 - $184,500 At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEOC Poster #J-18808-Ljbffr

Vertex is a global biotechnology company that invests in scientific innovation. The Data, Technology and Engineering (DTE) Research, Pre‑Clinical, Manufacturing & Supply (RPMS) Group's mission is to improve the lives of patients through digital, data, and technology innovation. Vertex is in a transformational period where we are accelerating our capabilities, technology and data to augment our scientific mission and enable Vertex to grow in scale; ensuring we remain on the forefront of science, medicine and technology. Role Overview We are seeking a data driven, scientifically literate, and technically skilled Principal Engineer to serve as the Automated Data QC and Reporting Solutions lead to automate and streamline pre‑clinical data pipelines and reporting processes and ensure the accuracy, consistency, and integrity of high‑impact, high‑visibility, business‑critical regulatory documents across research laboratories. This role will drive modernization and standardization of data pipelines and reporting processes, ensuring accuracy, consistency, and integrity of high‑impact, business‑critical regulatory documents across research laboratories. The Principal Engineer will also develop and execute strategies for data consumption solutions and reporting, leveraging advanced technology, agentic workflows, and AI capabilities to modernize and scale data consumption environments. Key Duties and Responsibilities Develop and execute modernization and standardization initiatives for automated QC and reporting of research data, ensuring alignment with business objectives and digital transformation goals. Lead the development of data consumption solution strategies and reporting frameworks to enable scalable, future‑ready, and unified data environments. Identify and implement innovative digital and AI‑powered technologies, including agentic workflows, to enhance data consumption, reporting, and scientific insight generation. Collaborate with cross‑functional teams to align global digital QC, reporting, and data consumption strategies across multiple research sites. Operational Execution Design, configure, develop, and maintain automated solutions, tools, and workflows for QC, report generation, and standardized data consumption. Regularly evaluate and optimize solutions, scripts, and workflows to enhance performance, scalability, and interoperability. Identify and prepare raw data files in response to regulatory requests. Deliver solutions to automate and digitalize by identifying and preparing raw data files in response to regulatory requests. Design, configure, develop and maintain automated solutions, tools and workflows for automated QC and report generation. Ensure the accuracy, completeness, traceability and consistency of data across research business‑critical documents (e.g. research study reports). Ensure generated reports meet formatting, regulatory, data integrity, and quality standards. Identify and resolve data discrepancies using automated processes, collaborating with stakeholders. Collaborate across our Data Technology & Engineering (DTE) organization and with research scientists to ensure solutions integrate with our broader data platform and data engineering strategy. Ensure the accuracy, security, quality and business continuity of solutions in line with Vertex and external data and technology standards. Modernization and AI Enablement Drive the adoption of agentic workflows and AI capabilities to automate and accelerate scientific data workflows, reporting, and consumption interfaces. Develop and deploy AI‑enhanced visualization, reporting, and QC interpretation tools. Champion the use of cloud‑native and unified semantic consumption layers for scalable data access and analysis. Collaboration and Communication Partner with scientists, statisticians, and program representatives to understand reporting and QC requirements. Partner with DTE leaders to understand and deliver to data and technical requirements. Provide leadership and training to a team of super users on automated QC and report generation workflows to ensure business continuity. Develop a sustainable suite of solutions that minimize future training. Deliver solutions and insights with clear and actionable QC and reporting summaries to stakeholders. Required Knowledge and Skills Experience designing and implementing data and technology solutions in life sciences research and development. Advanced programming skills in R, Python, and experience with database access, query, and large dataset interrogation. Expertise in agentic workflows, AI/ML technologies, and cloud‑native platforms for data engineering and reporting. Proficiency in evaluating and implementing new tools and technologies, including AI and agentic workflows. Proficiency in data management and automation principles and methodologies. Knowledge of statistics, data visualization, and scientific reporting. Familiarity with data quality, reporting, and compliance requirements in regulated environments. Excellent collaboration, interpersonal, and communication skills, with the ability to present complex technical concepts to diverse audiences. Strong analytical, problem‑solving, and decision‑making skills using data‑driven approaches. Strong collaboration and inter‑personal skills. Proven track record of working in a complex, fast‑paced environment. Willingness to travel as needed (up to 10%) to support business objectives. Required Education and Experience Bachelor's degree in a relevant field such as Computer Science, Data Science, Engineering, or a related discipline or equivalent experience; advanced degree preferred. 5+ years of experience in technical leadership, data management, or related roles within the biotechnology or pharmaceutical industry. Proven track record of leveraging data engineering, software engineering and/or data science skills to automate reporting. Proficiency in digital platforms and technologies, with the ability to evaluate and implement new tools and technologies. Proven track record in leading digital transformation, modernization, and standardization initiatives. #LI - Hybrid Pay Range: $148,000 - $222,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market‑leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week‑long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On‑Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: Hybrid: work remotely up to two days per week; or select On‑Site: work five days per week on‑site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non‑discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E‑Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com #J-18808-Ljbffr

Advance your career with the Stark Tech team. We'll shape your future together! Stark Tech is a total optimization provider of facilities and energy solutions. Stark Tech leads the market in providing cutting‑edge facilities and energy solutions. We integrate systems, offer energy‑efficient equipment and services, and provide building analytics to help customers meet sustainability goals. Our large‑scale equipment converts waste to renewable natural gas, reducing greenhouse gas emissions. Additionally, we enhance the utility grid with microgrid and battery energy storage solutions, along with solar development consulting services. Join Stark Tech to be part of the future of energy transformation. What you can expect We believe your well‑being and satisfaction are vital for a fulfilling career. We are gritty, employee, and customer focused. Here are some of the benefits we provide: Paid Time Off & Holidays 401(k) with employer match Medical/Dental/Vision insurance Health Savings Account (HSA) and Flexible Spending Account (FSA) HSA employer contribution Life and Disability insurance Wellness Program (participation incentives) Employee Assistance Program Competitive pay Career development How do you excel in this position Stark Tech is seeking a Senior Project Engineer - Energy who excels by transforming complex customer requirements into actionable, data‑driven solutions across HVAC, controls, central plant optimization, and integrated energy systems. You lead projects from early concept through design, pricing, and performance validation-leveraging modeling, analytics, and real‑world constructability insight to ensure every solution is technically sound, financially viable, and executable in the field. You collaborate seamlessly with Sales, Engineering, and Operations to protect margin, reduce risk, and deliver high‑performance building outcomes. Through mentorship, strong communication, and technical leadership, you elevate both project delivery and overall team capability. What are we looking for Associate degree required; Bachelor's preferred in engineering or related discipline. 10+ years delivering building infrastructure, energy efficiency, or distributed energy resource projects. Experience leading technical teams and managing cross‑functional coordination. Professional certifications are highly desirable. Technical Knowledge & Skills Expert‑level ability in energy modeling, building analytics, load studies, utility consumption analysis. Deep understanding of HVAC systems, central plant optimization, and building automation controls. Experience developing performance guarantees, feasibility studies, and detailed design documentation. Familiarity with M&V practices and IPMVP protocols. Skilled in evaluating engineering designs for constructability, cost, lifecycle value, and performance risk. Proficiency with Microsoft Office; experience with industry software tools for modeling, analytics, and design. Strong knowledge of codes, safety standards, and environmental regulations. Leadership & Collaboration Proven ability to mentor junior engineers and influence cross‑functional project teams. Strong customer‑facing communication skills. Ability to convert technical value into meaningful business outcomes for customers and internal stakeholders. Working with us Our fast‑growing organization offers competitive pay, a positive work environment, and opportunities for career growth within the company. If you're a motivated individual with a sense of accountability, resiliency, and a dedication to providing exceptional customer service, we encourage you to get in touch with us. Compensation The advertised compensation range for this position represents what we believe, at the time of posting, to be competitive and acceptable by reviewing comprehensive market data to include industry and roles of similar responsibility and level. Within the range, wage will be determined by several factors including candidate knowledge, job‑related skills, experience, and relevant education or training. #J-18808-Ljbffr

Machine Learning Engineer page is loaded## Machine Learning Engineerlocations: Boston, MA, UStime type: Full timeposted on: Posted Yesterdayjob requisition id: R10124We are constantly looking to add to our core talent. If you are seeking a career that is challenging and rewarding, a work environment that is diverse and dynamic, look no further - Haemonetics is your employer of choice.## Job Details**Key Responsibilities:*** **Applied Machine Learning:** Implement practical ML solutions. This involves training "classic" models (regression, classification) or integrating off-the-shelf models and APIs, rather than researching deep learning architectures from scratch.* **Data Discovery & Preparation:** Analyze mixed datasets (structured SQL data, logs, and unstructured inputs) to determine if they are viable for automation or prediction. You will be the first to "view" this data with an ML lens.* **Integration & Prototyping:** Build Python-based services (e.g., wrapping models in APIs) and collaborate with the core Software Team to integrate these predictions into our .NET enterprise applications.* **Technical Validation:** Review and validate technical deliverables from external AI consultants to ensure they are sound, maintainable, and properly documented.* **Regulated Engineering:** Ensure all ML code and data handling processes comply with strict regulatory standards (e.g., rigorous version control, data privacy/HIPAA, and documentation).**Required Knowledge, Skills, & Capabilities:*** **Education:** Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.* **Experience:** Minimum of 3-4 years of professional software development experience, with **demonstrable experience in Data Science or Machine Learning projects**.* **The "Python Stack":** proficiency with Python and standard libraries (Pandas, NumPy, Scikit-learn) is required.* **Versatility:** You are comfortable wearing multiple hats. You might be cleaning data on Monday, tweaking a regression model on Tuesday, and writing a Python API wrapper on Wednesday.* **Independence:** Ability to work as the sole ML practitioner within a Scrum team of C# developers. You can research problems and unblock yourself without a senior Data Scientist sitting next to you.* **General Software Skills:** Familiarity with version control (Git), APIs (REST), and basic software design principles.**Desired Assets (Nice to have):*** Experience working in a **regulated industry** (Medical Device, Pharma, Finance, etc.) or knowledge of standards like **IEC 62304, ISO 13485, or HIPAA**.* Familiarity with **C# / .NET** (you don't need to be an expert, but you need to be able to read the code and work with the team that writes it).* Exposure to cloud environments (AWS preferred) for deploying simple services.**General Skills:*** **Pragmatic:** You prefer a simple solution that works over a complex one that is theoretically perfect.* **Curious:** You are excited to dig into complex medical data to find patterns.* **Communicator:** You can explain data concepts to stakeholders who do not have a math background.**Pay Transparency:**The base pay actually offered to the successful candidate will take into account, without limitation, the candidate's location, education, job-knowledge, skills, and experience in prior relevant roles. Incentives may also be provided as part of Haemonetics' employee compensation. For sales roles, employees will be eligible for sales incentive (i.e., commission) under the applicable plan terms. For non-sales roles, employees will be eligible for a discretionary annual bonus, the target amount of which varies based on the applicable role, to be governed by the applicable plan terms. Employees may also be eligible to participate in the Company's long-term incentive plan, with eligibility and target amount dependent on the role.In addition to compensation, the Company offers a competitive suite of benefits to its employees, including without limitation, a 401(k) with up to a 6% employer match and no vesting period, an employee stock purchase plan, “flexible time off” for salaried employees and, for hourly employees, accrual of three to five weeks' vacation annually (based on tenure), accrual of up to 64 hours (annually) of paid sick time, paid and/or floating holidays, parental leave, short- and long-term disability insurance, tuition reimbursement, and/or health and welfare benefits.Depending on your location, you may be eligible for more detailed information related to the compensation and benefits related to this job posting. If you believe you may be entitled to such information by law, you may contact **************, Monday through Friday, 7:30 a.m. - 5 p.m. ET or email *********************.The base salary range for this role is:$101,074.94-$136,586.75/Annual #J-18808-Ljbffr

Join JB&B and shape the future of the built environment! Founded in 1915, Jaros, Baum & Bolles has been a pillar of engineering innovation in New York City for over a century. Specializing in mechanical, electrical, plumbing (MEP), JB&B has contributed to some of the most iconic buildings. In October 2025, JB&B joined forces with Trinity Consultants, a global consulting firm focused on the natural and built environments. JB&B now operates within Trinity's Built Environment division, combining its deep expertise in high‑performance building systems with Trinity's strengths in acoustic design, facility operations, commissioning, and technology strategy. This strategic merger expands JB&B's capabilities and offers employees: Access to a broader portfolio of international projects and clients Enhanced career mobility across Trinity's global network Interdisciplinary collaboration with experts in sustainability, environmental science, and digital infrastructure About the Role JB&B is seeking a Senior Project Engineer to join the Electrical department at our Boston office. The Senior Project Engineer is a technically skilled and experienced engineer with excellent communication, coordination, project management, and leadership skills. This role typically manages one to two smaller projects and is the key designer on larger base‑building and infrastructure upgrade projects. Responsibilities Leads the design on tenant fit‑out projects and is a key designer on base‑building/infrastructure upgrades; assembles riser diagrams, schedules, and floor plans; participates in specification writing. Establishes design criteria from the project proposal and assembles basis of design documents. Assembles a complete set of contract documents for their trade including the layout of main equipment rooms, closets, shafts, risers, etc. Leads design for their trade's ancillary systems required for a project and can assemble scope-associated drawings with these systems (e.g., UPS, generators, fuel, secondary water pumps, water reclamation system). Reviews shop drawings, RFIs, contractor change orders, performs site visits and punch‑lists with limited supervision to verify that designs are being implemented accurately. Assists in establishing an efficient project schedule for their project team that ensures appropriate use of resources while adhering to deadlines. Assists in following up on progress and completion of tasks; holds team members accountable to completing tasks on time regardless of their position. Qualifications Minimum 5 years of experience Bachelor's degree in Electrical Engineering Strong understanding of trade‑specific scope of project, trade‑related codes, and the required coordination with other trades Strong understanding of documentation requirements and content for each deliverable phase (e.g., SD, DD, CD and specifications) Proficient in all design calculations and software tools (e.g., Revit and AutoCAD) applicable to the discipline Why Work at JB&B? Legacy + Innovation: Our company blends a rich history with forward‑thinking design, including smart building systems and deep carbon reduction strategies. Collaborative Culture: With over 400 professionals, our company fosters mentorship, teamwork, and continuous learning.Global Impact: Now part of Trinity, our company offers opportunities to work on transformative projects across commercial, healthcare, aviation, life sciences, and data center sectors. Multiple office locations: New York, Boston, and Philadelphia. What We Offer Hybrid workplace offering the flexibility to work both from home and the office Comprehensive benefits package including 401k employer match and stock options Paid time off (PTO), volunteer program and employee resource groups Training and professional development courses through JB&B University Estimated compensation range: $100,000 - $115,000 a year. Jaros, Baum & Bolles is an equal‑opportunity employer. All qualified candidates will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. #J-18808-Ljbffr

We're hiring our first ML Software Engineer to work alongside our cofounder, Thane Hunt, in developing our software stack to help interpret raw data s Corp We're building the next generation of technological controllers using proprietary and patent-protected technology that translates muscle movement into data. Role Machine Learning Software Engineer About Us: We are a cutting-edge technology company focused on revolutionizing the way we interpret raw tendonal and muscular data into actionable technological outputs. Our goal is to empower industries and individuals with transformative software that bridges the gap between human motion and machine interaction. We're a fast-paced, innovative team driven by curiosity, purpose, and a passion for creating real-world impact. We are looking for a super nimble, self-directed Machine Learning Software Engineer to join us in building the future of wearable tech and motion analytics. About the Role: As an ML Software Engineer, you'll be responsible for designing and implementing advanced machine learning algorithms to process complex muscular and tendonal data and convert it into outputs. You'll work at the cutting edge of biomechanics and wearable technology, creating software that empowers our devices to understand and interpret human motion in real time. What You'll Do Design and implement machine learning models to analyze raw datasets and translate it into actionable technological outputs. Collaborate closely with hardware and software engineers to integrate ML solutions into our software stack. Continuously optimize and improve the performance of our models, focusing on real-time data processing and reducing latency. Develop and test novel algorithms to ensure they meet the evolving needs of our product and industry. Take ownership of your projects from concept to deployment, balancing speed and accuracy to ensure timely delivery of working solutions. Engage in problem-solving and troubleshooting, keeping the team moving forward despite challenges or roadblocks. Contribute to a fast-paced, agile development process where doing is prioritized over perfection. Stay up to date on the latest advancements in machine learning, biomechanics, and wearable technology, and continuously innovate. Qualifications Experience in developing machine learning models, with a focus on real-time data processing. Solid programming skills in Python, C++, or similar languages commonly used in machine learning environments. Proficiency with ML libraries (TensorFlow, PyTorch, etc.) and data manipulation tools (Pandas, NumPy, etc.). Experience with sensor data and working with raw data inputs from wearables or similar devices. Comfortable working in a self-directed environment with little supervision-your ability to prioritize and execute will set you apart. A bias towards doing: You're someone who gets things done, doesn't wait for perfect conditions, and takes action to solve problems. A growth mindset, excited to take on new challenges and innovate in a fast-moving environment. Excellent communication skills and a collaborative attitude, even when tackling complex technical problems. Nice-to-Haves Experience with biomechanics, kinesiology, or motion analysis. Familiarity with real-time systems and edge computing. Knowledge of motion capture technologies, wearable sensors, or gesture recognition. Familiarity with cloud platforms and deploying ML models at scale. Why Join Us Work at the intersection of biomechanics, AI, and wearable technology-help us shape the future of human-machine interaction. Be part of a nimble, collaborative team where every member's voice is heard, and every contribution matters. Opportunities for professional growth and learning in an innovative, fast-paced environment. Competitive compensation and equity options in a company and cofounders who prioritize communication and seeing the world outside the box. #J-18808-Ljbffr

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 & 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. Responsibilities Engineering Experience in Medical Device Industry Problem Solving Knowledge (Yellow or Green Belt knowledge) Responsibilities may include the following and other duties may be assigned. Designs manufacturing processes, procedures and production layouts for assemblies, equipment installation, processing, machining and material handling. Designs arrangement of machines within plant facilities to ensure most efficient and productive layout. Designs sequence of operations and specifies procedures for the fabrication of tools and equipment and other functions that affect product performance. Adapts machine or equipment design to factory and production conditions. May incorporate inspection and test requirements into the production plan. Inspects performance of machinery, equipment, and tools to verify their efficiency, and investigates and initiates corrective action of problems and deficiencies to ensure product quality. Develops manufacturing processes that are applicable to statistical process control, and may develop those techniques. Provides guidance to engineering regarding design concepts and specification requirements to best utilize equipment and manufacturing techniques. Ensures processes and procedures are in compliance with regulations. Qualifications Requirements/Knowledge/Education/Skills BBA in Engineering Knowledge in CSV Problem Solving Knowledge (Yellow or Green Belt knowledge) 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. #J-18808-Ljbffr

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you're a close but not exact match with the description, we hope you'll still consider applying. Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny. Be Klaviyo's senior IC for scale, you will report into a VP of Engineering and lead performance, reliability, multi‑region, and large‑tenant readiness. You'll drive platform‑wide architectural change, hunt bottlenecks and optimize systems, and partner across teams to productionize improvements. Given that this is an IC role with no direct reports; you will lead via technical depth, hands‑on impact, and crisp cross‑org alignment. What You'll Do Define enterprise scalability fitness functions (latency/throughput/error rates) and a scorecard; align teams to SLOs and budgets. Design/implement sharding and partitioning strategies, caching/back‑pressure, multi‑region readiness, and high‑volume migration paths. Build lightweight enablement: benchmarks, profiling harnesses, reproducible testbeds; pair with teams to land fixes. Lead scalability reviews and readiness gates that accelerate-not block-delivery; drive incident deep dives tied to systemic fixes. Communicate clearly to execs and engineers, tying technical work to business impact and customer outcomes. Integrate AI into scale and resiliency work-from proactive anomaly detection to synthetic load and guided runbooks-so performance improvements stick and incidents don't repeat. Who You Are Experience: 12+ years scaling multi‑tenant SaaS with a reputation for removing major bottlenecks and proving impact with data. Technical expertise: Performance engineering, capacity planning, sharding/partitioning, caching/back‑pressure, multi‑region readiness, and high‑volume migrations; you turn hotspots into robust patterns. AI tools & automation: You apply AI to scale work-profiling assistance, workload modeling, synthetic traffic generation, anomaly detection, and runbook copilots-always with explicit guardrails and observability. Cross‑org influence: You align teams through fitness functions, scorecards, and readiness gates that accelerate-not block-delivery; you communicate tradeoffs crisply to execs and engineers. AI fluency: Curious, adaptable, and proactive in exploring AI that responsibly improves scale outcomes. Nice to Haves Scale scorecard: Company‑wide fitness functions (latency/throughput/error rates) are adopted and reviewed regularly. High‑impact wins: 2-3 bottlenecks removed with documented, reproducible testbeds; pXX latencies and error rates improve on top enterprise workloads; repeat P0s trend down. AI‑assisted scale engineering: AI‑driven anomaly detection reduces alert noise while improving signal; generative load testing and copilot runbooks are used in release/readiness checks for the top critical services; time‑to‑isolate regressions drops 20-30%. Success in 6-12 Months Company‑wide scale scorecard in place; 2-3 high‑impact bottlenecks removed; top enterprise workloads show improved pXX latencies and error rates; fewer repeat P0s. We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Get to Know Klaviyo Base Pay Range For US Locations: $248,000 - $372,000 USD We're Klaviyo (pronounced-vee-oh). We empower creators to own their destiny by making first‑party data accessible and actionable like never before. We see limitless potential for the technology we're developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators-ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you're ready to do the best work of your career, where you'll be welcomed as your whole self from day one and supported with generous benefits, we hope you'll join us. AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human‑in‑the‑loop). We provide accommodations as needed. Klaviyo is committed to a policy of equal opportunity and non‑discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law. IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non‑company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls. By clicking "Submit Application" you consent to Klaviyo processing your Personal Data in accordance with our Job Applicant Privacy Notice. If you do not wish for Klaviyo to process your Personal Data, please do not submit an application. You can find our Job Applicant Privacy Notice here and here (FR). #J-18808-Ljbffr

A leading aerospace company in Boston is seeking an experienced engineer in Guidance, Navigation & Control to develop RPO algorithms and optimize trajectories for aerospace applications. The role requires a strong background in simulation tools, programming, and the ability to work with multidisciplinary teams. This position offers a competitive salary, along with benefits such as equity, comprehensive health insurance, and opportunities for professional growth. #J-18808-Ljbffr

A leading global energy company is looking for an experienced engineer to join their Generation Engineering team in Boston. The role focuses on improving operational technology and reliability of fleet assets while ensuring cybersafety. Candidates should have at least 8 years of relevant experience, strong skills in SCADA and OT, and effective communication abilities. The position requires some traveling to asset locations. Competitive compensation and opportunities for growth are offered. #J-18808-Ljbffr

- Collaborate with design teams to understand and debug constraints, facilitating logic changes to optimize timing. - Work with the Physical Design team to identify issues and share best practices. - Develop and implement timing ECOs for project tapeouts. - Create and maintain scripts and methodologies for analysis and runs. - Document processes and contribute to guidelines and specifications. - Conduct detailed analysis of timing paths to identify key issues. - Implement timing infrastructure to support design goals. Minimum Qualifications Bachelor's degree and 3+ years of relevant industry experience. Experience with large design STA and timing closure. Proficiency in programming with Perl and TCL. Preferred Qualifications Hands-on experience in STA. Knowledge of timing aspects in large high-performance SoC designs in sub-micron technologies. Understanding of timing closure methodologies, noise, crosstalk, and OCV effects. Familiarity with circuit modeling, including SPICE models and corner analysis. Experience with ECO techniques and implementation. Strong communication skills to clearly describe issues and follow through to resolution. #J-18808-Ljbffr

A leading energy solutions provider in Boston is seeking a Senior Project Engineer - Energy to lead energy projects. Candidates should have over 10 years of experience in energy efficiency, a Bachelor's degree in engineering, and proven leadership skills. This role involves transforming customer requirements into effective solutions and mentoring team members. The company offers competitive pay and a supportive work environment, with opportunities for career growth. #J-18808-Ljbffr

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Data Science Services group (AIOS) in the Informatics & Analytics department of Dana‑Farber Cancer Institute - a teaching affiliate of Harvard Medical School. The Artificial Intelligence & Machine Learning Engineer/Scientist I works in a team environment on both short‑term priorities identified by our top clinicians, as well as on long‑term institutional efforts that aim at revolutionizing the way the Institute conducts basic cancer research and provides best‑in‑class clinical oncology to our patients. AIOS is part of the department serving some of the most prominent research and clinical programs at the Institute, from basic to translational research, to clinical deployment, and operationalization. The AIOS group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. Dana‑Farber Cancer Institute (DFCI) provides expert, compassionate, and equitable care to children, adults, and their families, while advancing the understanding, diagnosis, treatment, cure, and prevention of cancer and related diseases. DFCI trains new generations of clinicians and scientists, disseminates innovative patient therapies and scientific discoveries around the world, and reduces the impact of cancer, while maintaining a focus on those communities who have been historically marginalized. Located in Boston and the surrounding communities, Dana‑Farber Cancer Institute is a leader in life‑changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high‑risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School‑affiliated hospitals. Primary Duties and Responsibilities Meeting and consulting scientists requiring machine learning & AI support and designing plans and solutions. Delivering results for projects on‑time and on‑budget. Working as part of the broader team to identify longer‑term solutions that will improve quality, speed and efficacy of our current projects and programs. Evaluating and benchmarking new libraries; prototype and pipeline development. Knowledge, Skills and Abilities Excellent communication and effective problem‑solving skills, track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. Experience with one of the following: Natural language processing or Computer vision technologies, Transformers, Adversarial / Generative models, JAX + Flex / Haiku, Vision Transformers, Federated learning, AutoML, Self‑supervised learning, Causal ML, Reinforcement learning, Infrastructure as Code, DataOps (versioning, lineage, and governance), AIOps & MLOps life cycle (from deployment to monitoring to retirement), explainable AI, batch/online/streaming/edge training/inference, fully reproducible and auditable ML practices, CI/CD for large language models and large vision models, Multi-Cloud & Hybrid data platforms, productized Docker/Spark/Kubernetes solutions such as Databricks and Snowflake, High‑throughput big data processing under redundancy / low‑latency requirements. Minimum Job Qualifications Bachelor's degree required. 1 year of relevant experience required. Deep machine learning & AI skills, at the interface with computer science. Python experience is required; R experience is a plus. Experience within a clinical or research environment preferred. License/Certification/Registration Required None Supervisory Responsibilities No Patient Contact None At Dana‑Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana‑Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. EEO Poster Pay Transparency Statement The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA). $90,400.00 - $106,400.00 #J-18808-Ljbffr

A leading technical solutions provider is seeking an engineer specialized in the medical device industry. The role involves designing manufacturing processes and ensuring compliance with safety regulations. Candidates should have a BBA in Engineering, knowledge in CSV, and problem-solving skills (Yellow or Green Belt). The position offers an opportunity to work with innovative technologies in a dynamic environment located in Caguas, Puerto Rico. #J-18808-Ljbffr

This position analyzes security engineering solutions, framework, roadmap, program optimization, process engineering, risk remediation, and mitigation of operational risk in a high-velocity culture by introducing technology, requirements, deliverables, gaps and systems design. Analyzes competitive strategies, cyber technologies, metrics models, and performance indicators. Position Compensation Range: $111,000.00 - $189,000.00 Pay Rate Type: Salary Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates. Primary Accountabilities Develops, integrates, and tests cyber products. Researches, engineers, and integrates new security solutions. Performs cyber defense incident triage, including determining scope, urgency, and potential impact, identifying the specific vulnerability. Builds strong relationships with peers across functions through collaborative engineering operations and initiatives. Designs and implements automated solutions to enable security needs. Designs and develops system-security measures to ensure cybersecurity is fully integrated. Validates current and future-state architectural models to assess impact across all cybersecurity technology systems. Develops enterprise tools and applications to manage access to enterprise data, systems and resources. Analyzes security access risk gaps and recommends mitigating and compensating security controls. Specialized Knowledge & Skills Requirements Python programming with experience in audit/compliance Interest in and experience with data analysis. XSOAR experience desired. Demonstrated experience providing customer-driven solutions, support or service. Solid knowledge and understanding of software engineering architectures, system/software designs, and system deployments. Solid knowledge and understanding of Cyber Security, Cyber Engineering, Computer Science, Software Engineering. Solid knowledge and understanding of security technologies and application development methodologies. Demonstrated experience performing cyber threat analysis and incident response. Working knowledge of penetration testing. Solid knowledge and understanding of directory services and identity stores. Licenses: Not Applicable. Travel Requirements: Up to 10%. Physical Requirements: Work that primarily involves sitting/standing. Working Conditions: Not Applicable. Additional Information Offer to selected candidate will be made contingent on the results of applicable background checks. Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions. Sponsorship will not be considered for this position unless specified in the posting. In this flex office/home role, you will be expected to work a minimum of 10 days per month from one of the following office locations: Highly preferred - Boston, MA 02110 / Secondary location-Madison, WI 53783; Candidates must reside within a 50-mile radius of the office location (or 35-mile radius for Boston) Internal candidates are encouraged to apply regardless of location and will be considered based upon the needs of the role. We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full‑time employees). In addition, our student loan repayment program and paid‑family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits. We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non‑discrimination, non‑harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email *************** to request a reasonable accommodation. #J-18808-Ljbffr