Machining engineer jobs in Boston, MA - 2,363 jobs

About this role: Pickle is on the hunt for a dynamic and driven Machine Learning Engineer to revolutionize the future of warehouse automation. This role sits at the critical intersection of Perception and MLOps. You will focus on two key pillars: developing robust scene understanding models and building the deployment and analysis infrastructure that allows us to measure, understand, and improve our robots performance in the real world. Responsibilities: Build Performance Analysis Systems: You will design systems that automatically analyze robot telemetry and video logs to detect anomalies, quantify perception failures, and provide deep insights into why a robot performed a certain way. Scale the Data Engine: You will take ownership of the data lifecycle. You will build automated pipelines to mine interesting events from fleet data, implement active learning strategies to curate high-value datasets, and drive the continuous improvement of our model suite. Develop Scene Understanding Models: You will train and refine 2D/3D vision models specifically designed for event detection and semantic understanding. Master Edge Deployment: You will own the optimization and deployment of these models. You will use tools like TensorRT and ONNX to ensure our models run efficiently on edge hardware (NVIDIA Orin). Define Perception Metrics: You will move beyond simple validation loss and define real-world performance metrics that correlate with customer success, visualizing these trends for the broader engineering team. Skills: 3+ Years of Experience in Computer Vision and Machine Learning, with a strong focus on MLOps, deployment, or data infrastructure. Strong proficiency in Python and PyTorch. You are comfortable writing tooling scripts, data queries, and deployment pipelines. You have experience optimizing models for the edge using TensorRT, ONNX Runtime, or CUDA. You understand how to profile model performance and manage resource constraints. You treat data as a product. You have experience utilizing SQL, data lakes, or vector databases to manage large-scale datasets and automate quality assurance. Familiarity with VLMs and 2D/3D Vision architectures sufficient to debug model failures and understand data needs. You can translate high-level product requirements into specific engineering tasks and explain technical trade-offs to non-expert stakeholders. Familiarity with Docker, AWS/GCP (S3, EC2), labeling platforms and experiment tracking tools. $130,000 - $160,000 a year Pay at Pickle At Pickle Robot Company, we believe transparency builds trust. The salary range listed here is provided in accordance with Massachusetts law and reflects what we reasonably and in good faith expect to offer for this role. We often consider candidates at different levels of seniority, and final compensation will reflect the level at which a candidate is hired, along with factors like experience and location. About Pickle Robot Want to get in on the ground floor of a fast-growing, VC-backed robotics company? Join Pickle Robot! We build systems that companies and their teams love. Pickle robots unload trucks. Every day, millions of trucks and containers are loaded and unloaded, often requiring manual labor-tough, dirty, dangerous, and hard to staff. Pickle automates this process using AI, machine learning, and robotics to deliver reliable products. Our Unload Systems work with teams on loading docks to make the job safer, faster, and more efficient. Pickle provides best-in-class benefits including health, dental, & vision insurance; unlimited vacation, along with all federal and state holidays; 401K contributions of 5% your salary, travel supplies, and other items to make your working life more fun, comfortable, and productive. #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 us at Remark Join the Remark Revolution Remark is reshaping the e‑commerce landscape by harnessing the power of AI and personalized support to solve a critical problem: the low conversion rates plaguing online shopping. Our platform connects shoppers with trained product experts, using AI to enhance every interaction and turn browsing into buying. With Remark, we're not just selling products; we're providing a seamless, personalized shopping experience that boosts revenue and builds loyalty. We're a mix of visionaries, tech enthusiasts, and, frankly, a few eccentrics who've sharpened our skills at giants like Amazon, Microsoft, and Salesforce. Now, we're channeling our collective expertise into building an environment that values curiosity, innovation, and a bit of fun along the way. ⚡️What we're looking for As a Machine Learning Engineer working on Remark's core platform, you will be responsible for planning, implementing, and testing features that change the way consumers buy online! Do you love solving complex AI problems, developing strategy and roadmaps, and working in a highly collaborative environment? If so, this could be the perfect match. We build on a modern stack centered around TypeScript. Major elements include NestJS, Prisma, Bull, LangChain, and GraphQL. Ownership is a big facet of the culture at Remark, and as such we encourage strong input from each team member. If you feel strongly about building with something else, we'll hear you out. 📓Responsibilities Develop and enhance our LLM-based operations and pipelines. Work on cutting‑edge role‑playing and persona duplication techniques. Report directly to our Chief Technology Officer. Develop actionable roadmaps for new capabilities, and work with the engineering team execute on that roadmap. Implement comprehensive evals for new capabilities. Balance speed and quality, with a focus on tangible results. Participate in frequent code‑reviews with fellow team members. 🛠Qualifications Strong background in Deep Learning, Machine Learning, and NLP. Proficient in JavaScript and Python. Expertise in building applications leveraging LLMs, with an understanding of performance, latency, and deployment considerations. Familiarity with LLM‑enabled tooling, including frameworks (LangChain, LlamaIndex), vector databases, caching solutions (Redis), and monitoring tools. Knowledge of secure deployment practices and robustness against prompt injection. Passion for solving customer problems, developing strategies and roadmaps, and executing those plans to bring value to our business and customers. Experience with using qualitative and quantitative data (especially from A/B tests) to make engineering decisions. You also know when and how to balance data with intuition. 🎈Bonus points if You have cool open source contributions You thrive when things move fast You've seen a mountain goat 🐐 ⚕️Benefits Competitive salary and equity Full healthcare benefits (medical, dental, vision) Flexible PTO (at least 15 days / year recommended) At least 1 company retreat to Colorado annually $500 expense reimbursement for qualified fitness and outdoor recreation activities 🚀 Ready to join? Let's do this! The jobs listed are guidelines - not perfect outlines - of who we expect you to be. We'd love to hear from you even if you color outside the lines. At Remark, we're building a workplace where everyone can belong. We're committed to diversity and inclusion and encourage applicants from all backgrounds to join our team. Remark is proud to be an equal opportunity employer. #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

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, 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. Minimum Job Qualifications 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. Primary Duties and Responsibilities 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 having vision for staying at the cutting edge. Recognizing and reporting problems with the machine learning & AI process and identifying solutions. 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. Supervisory Responsibilities None. 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. Equal Opportunity 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 Poster's link placeholder 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). Salary Range $154,000.00 - $184,500.00 #J-18808-Ljbffr

Join Us: Finding a better way. At CHA, we believe in the power of clean water, resilient energy, safer roads, and structures that harmoniously blend with their surroundings. We create solutions. We help People. We improve our world. At CHA, we embed ourselves in our communities - and take pride in improving things where we live. At the foundation is a commitment to inclusion and diversity and choosing to treat everyone with dignity and respect.We also take accountability for making decisions that promote sustainability in our business and our designs.We are on a mission to reduce our environmental footprint and bring greener solutions to our clients. We are responsibly creating a more sustainable future in ways that we can all see and touch. Together. Every day. CHA Consulting, Inc. is currently seeking a Senior Mechanical Engineer to join our Power & Manufacturing - Generation & Energy Management Team at our Boston, MA; Norwell, MA; Burlington, MA; or Albany, NY office. What You'll Do: At CHA, our Advanced Energy team is at the forefront of transforming the energy landscape. We partner with our clients to expand and improve their operations, reduce costs, and enhance their competitiveness with cutting‑edge, cost‑effective solutions. As part of our team, you'll have the opportunity to work on innovative projects that balance cost‑saving measures with long‑term sustainability goals. We specialize in innovative energy conservation projects and transitions from carbon‑based fuels to cleaner energy sources-pioneering solutions that minimize operational disruption and maximize results. With deep expertise across energy conservation, clean energy transitions, and sustainable practices, we offer a unique opportunity to make a tangible impact on the future of energy. The Senior Mechanical Engineer in this position is required to provide advanced judgment and analysis techniques for the design development and technical analysis of various systems to suit individual client needs. This key role is responsible for planning, scheduling, conducting, and coordinating detailed phases of a project independently with other engineering disciplines and project management staff. This person must also be capable of directing junior engineers and leading the day‑to‑day activity of a small team working on the project. The professional in this role would also work with and mentor junior staff members and provide technical review of their work as needed. At CHA, you can build a career and find your passion across our diverse business lines and project teams. Being part of CHA means being part of a team of talented professionals, where you'll find support for your career growth and the opportunity to impact our industry and our communities. Find your “why” at CHA! What You Bring: Bachelor's Degree in Mechanical Engineering required Professional Engineer License (PE) required Minimum of 10 years progressive engineering experience is required Plumbing experience is a plus Expert knowledge of the respective engineering discipline with a proven ability to practically apply best practices Advanced proficiency with engineering, computational, and modeling software (Revit, AutoCAD, etc.) Experience using Design Builder or similar load modeling software preferred Understands QA/QC procedures and understands basic business practices and laws related to engineering Ability to demonstrate leadership skills and effectively work in a collaborative environment; proven ability to lead a team Effective verbal and written communication skills with the ability to adapt communication style to suit various audiences Proficiency with MS Office software required Active role in a professional engineering society/organization preferred Salary Range: $120,000 - $135,000 Salary is based on a variety of factors, including, but not limited to, qualifications, experience, education, licenses, specialty, training, and fair market evaluation based on industry standards. Culture/EEO Statement: At CHA, we work every day to create solutions, help people, and improve our world, committed to creating and fostering excellence in our diverse and highly talented teams. Our teams continually strive to find better ways - always searching, never settling - to achieve extraordinary results. Our values around hiring, training, and community engagement reflect a company culture that is inclusive and forward leaning, always pushing the limits of what is possible. We as an organization celebrate the values of inclusion and equality, and advocate for the full participation of all people in an environment free of discrimination. To support these values, we invite all qualified applicants to be considered for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability, protected veteran status, or any other characteristic protected by law. #J-18808-Ljbffr

We're an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI), an AI copilot for design and manufacturing. Our mission is to reinvent how physical products are designed and built, dramatically accelerating product development. The Data Studio Lead owns the end-to-end process of transforming raw customer data into usable, high quality datasets and insights that power development, evaluation, and delivery. This role sits at the intersection of product, research, engineering, and business teams. You will build and lead a team responsible for data pipelines, labeling workflows, quality assurance, and customer‑specific data solutions that either enable our developers and researchers to advance the product or deliver the solution directly to customers. Mechanical engineering or manufacturing design experience is essential; candidates without this background will not be considered. Key Responsibilities Data Operations & Delivery Own the definition and evaluation of output quality, ensuring consistency and accountability across all internal and external datasets. Oversee ingestion, cleaning, transformation, and structuring of customer data for AI model training and inference. Build scalable processes and frameworks for data labeling, annotation tools, quality checks, and feedback loops. Ensure timely, high quality data delivery for internal R&D and customer deployments. Own SLAs, accuracy targets, and “definition of quality” for all datasets. Product & Solution Leadership Partner with Product Managers to shape data‑related features, workflows, and tooling (e.g., annotation UI, correction UI, model output review tools). Translate customer needs into clear data requirements and repeatable solutions. Team & Process Leadership Build and lead a Data Studio team. Implement best practices for documentation, quality metrics, repeatable workflows, and compliance. Drive continuous improvements in throughput, cost efficiency, and accuracy. Cross‑Functional Collaboration Work closely with engineering and research teams to define data needs for model training, evaluation, and debugging. Collaborate with BD team to scope data requirements for onboarding and implementation. Serve as the subject‑matter expert on data quality, data formats, labeling standards, and customer‑specific nuances related to manufacturing design. Customer & Project Management Interface with customers to understand their domain, data structures, and quality expectations. Guide customers through data preparation, schema definition, and ongoing iteration. Own delivery timelines, reporting, and communication for all active data projects. Required Qualifications Domain expertise in manufacturing design or industrial workflows; mechanical engineering background is required. Hands‑on experience with CAD tools (e.g., SolidWorks, CATIA, Siemens NX, Creo) and familiarity with interpreting complex mechanical models. Experience creating or working with technical documentation such as exploded views, work‑step sequencing, GD&T drawings, repair manuals, and similar manufacturing/assembly artifacts. Ability to work directly with customers and translate domain problems into data requirements. Experience leading and growing teams. Excellent project management and cross‑functional communication skills. Preferred Qualifications Familiarity with annotation tools and illustration tools (e.g., Creo Illustrate, Adobe Illustrator, Arbortext). Experience in data operations, data analytics, ML operations, or related fields. Strong understanding of AI/ML data lifecycle: collection → labeling → QA → training → evaluation → deployment. Ability to partner with product managers to shape data tooling and internal UIs. Experience in a startup or high‑growth tech environment. What Success Looks Like High‑quality, on‑time data delivery for every customer and internal teams. Increasing automation and decreasing manual effort in the data pipeline. Clear standards for data quality that align with model performance needs. Data Studio becomes a strategic partner for customers in automating their workflows. #J-18808-Ljbffr

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. Toast's hardware team is responsible for designing and developing top-tier hardware devices. We operate as a streamlined team that emphasizes the essential aspects of pos (point of sale), payment devices, and accessories, while crafting our devices to provide optimal hardware solutions for our clientele. Through our close interactions with customers, we have identified the crucial design features that render our devices genuinely restaurant-grade. Our focus is on the long‑term dependability of our devices, ensuring that our customers can rely on their toast hardware without concern, allowing them to be prepared for another bustling day. Day in the Life of a Mechanical Engineer (Responsibilities) As a Senior Mechanical Engineer, your responsibilities will include the design, analysis, and prototyping of new products; testing and validation of products ready for launch; and providing support to Sustaining Engineering throughout the lifecycle of Toast hardware products. You will operate within a product‑focused development environment and collaborate with both Toast's internal cross‑functional teams and external suppliers to design and deliver products through to production. Given the highly competitive nature of our industry, you will be required to innovate and create iconic devices for the rapidly evolving POS hardware sector. A robust mechanical design background, meticulous attention to detail, comprehension of critical design processes, and familiarity with fast‑paced development cycles are essential. You will be expected to collaborate closely with cross‑functional teams in operations, product development, industrial design, program management, project management, and hardware to define and deliver exceptional products. We empower small teams to achieve significant results in a dynamic work environment. Design and create the mechanical elements of POS devices and their subsystems. drawing on knowledge and experience from the development of payment devices. Create part designs and mechanical systems, guiding them from initial concept through to production with full ownership per product engineering development team. Formulate test plans and product specification documents for both internal evaluations and external clients. Work in collaboration with a cross‑functional team to produce devices of exceptional quality. Gain an understanding of the restaurant environment and design products that can withstand it. Identify the root causes of various issues (design, manufacturability, production) to enhance designs and ensure successful mass production of products. Design with considerations for functionality, reliability, human factors, manufacturability, and aesthetic requirements. Address reliability failure and quality concerns related to products currently in use by Toast customers in the field. Leverage cutting edge AI tools to enhance your development workflow, improve velocity, and help pioneer new approaches to building - contributing to a culture of innovation and productivity across the team. What you'll need to thrive (Requirements) Proven ability to collaborate effectively with hardware, mechanical engineers, project teams, industrial designers and electrical engineers. At least 10 years of pertinent work experience in the design of consumer, enterprise, and/or handheld products. Proficient in CAD tools, including CREO, Windchill, and PDM processes. Demonstrated expertise in defining and interpreting Finite Element Analysis (FEA) for compliant mechanisms, along with proficiency in GD&T (Geometric Dimensioning and Tolerancing) and related industry concepts. Proven application of statistical tolerance analyses and various design analysis methodologies. Experience in mechanical design and manufacturing processes utilizing plastic, glass, rubber, metal, PCB/FPCB, soft goods, and opto‑electronic physical designs utilized in electronic products. Familiar with decorating technologies such as painting, anodization, plating, printing, and coatings. Experienced in part/tool qualification for manufacturing readiness. Practical, hands‑on troubleshooting experience (including root cause analysis, 8D reports, corrective actions, etc.). Experience in supporting overseas manufacturing builds, requiring up to 25% of business trips both domestically and internationally (to assist with manufacturing and quality assurance during product launches; opportunities to visit global manufacturing sites and contract manufacturing partners' factories). Experience in launching new products to market (to monitor engineering timelines and deliverables, utilizing global engineering resources to enhance efficiency and reduce time‑to‑market). Demonstrated ability to work collaboratively across teams with a strong emphasis on teamwork (to foster relationships with leadership, cross‑functional team members, and peers through team‑building activities and growth opportunities, operating as One Team). A Bachelor of Science degree in mechanical engineering. Preferred qualifications: Delivered numerous products by different development models, such as Internal Development process, JDM, OEM and ODM Product Development processes. Familiarity with PCI compliance. Understanding of the Point of Sale (POS) industry. Proficient in Android‑based devices. Expertise in materials, including characteristics of plastic resins in relation to part‑level quality. Design experience with mechanisms, such as hinges. Experience in sustaining engineering roles for products utilized by customers in the field. Knowledgeable in Six Sigma quality development tools and principles, including Design of Experiments (DOE) and Failure Mode and Effects Analysis (FMEA). Master of Science in Mechanical Engineering. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range: $113,000-$181,000 USD Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in‑person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. For roles in the United States, 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. #J-18808-Ljbffr

Senior Mechanical Engineer About the Role At Parallel Fluidics, we are building the infrastructure to power the next generation of life science tools. We seek a highly motivated Senior Mechanical Engineer to lead the development of a next-generation life science instrument for microfluidic applications. This role requires expertise in electromechanical system design, pressure and flow control systems, and sealing interface design. You will work in a dynamic startup environment, collaborating with cross‑disciplinary teams to deliver innovative solutions for cutting‑edge microfluidic technology. Key Responsibilities Design and engineering: Develop concepts for next generation instrument architecture. Lead mechanical engineering effort for systems and components, including: Moving mechanical assemblies Sealing interfaces Pressure control systems Electronics integration Automation integration Project management: Work with leadership to develop and refine product requirements. Manage outside consultants in related disciplines. Develop accurate product development timelines. Provide regular progress updates to leadership. Prototyping and Testing: Create and iterate prototypes to validate designs and refine functionality. Design and execute verification tests to ensure systems meet requirements. Analyze performance data and implement design improvements. Scale‑up: Oversee the transition of designs from prototyping to scalable manufacturing. Ensure products meet all necessary regulatory requirements. Cross‑functional Collaboration: Work closely with the design, software, and microfluidics teams to integrate subsystems. Provide technical leadership and mentorship to junior engineers. Innovation and Continuous Improvement: Stay updated on advancements in mechanical engineering, lab automation, and microfluidics. Identify opportunities for improving performance, reliability, and cost‑effectiveness in future generations of products. Qualifications Required: Bachelor's Degree in Mechanical Engineering or a related field. 5+ years of experience in mechanical design, with a focus on electromechanical systems and fluid control. Strong understanding of pressure control systems, design for manufacturing, and sealing technologies. Proven track record of bringing electromechanical systems to market. Excellent communication and project management skills. Proficiency 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. At Parallel Fluidics, we value diversity and inclusion and welcome individuals from all backgrounds, experiences, and perspectives. If you are passionate about mechanical engineering and eager to drive innovation in life science tools, apply today to help shape the future of microfluidics. #J-18808-Ljbffr

Requisition ID11657-Posted -SmithGroup, Inc.-Mechanical Engineering-Boston, MA SmithGroup is an integrated design firm with a reputation for cultivating a top‑ranked culture while pioneering award‑winning innovative design solutions. We blend research, data and technology with ingenuity and a creative spirit to deliver resilient, inclusive spaces that solve our clients' greatest challenges. Our teams create exceptional design solutions for healthcare, science and technology, workplace, mixed use, higher education, cultural, waterfront, parks and open spaces, and urban environments. We are looking for passionate problem solvers who want to elevate design, push boundaries and create a more resilient future. The Boston office of SmithGroup is looking for a Senior Mechanical Engineer to join our team. Working with us, you will: Serve as the engineering leader through all stages of a project of any size and play a larger role in the marketing of the studio and management of the discipline. Conduct building and systems assessments of existing facilities and develop strategies for upgrades and replacements in the context of future growth and expansion. Lead and perform analysis, design and documentation of heating, ventilating and air conditioning (HVAC) systems and controls. Assist in establishing project goals, budgets and schedules, track project performance, and follow/enforce quality control procedures. Meet with clients, project teams, code officials, contractors and others to address mechanical discipline issues and to develop effective working relationships. Present engineering design solutions to client representatives and/or design review committees. Serve as a mechanical systems specialist, conduct research in problem areas of considerable scope/complexity and devise solutions. Contribute to SmithGroup sustainable design initiatives by using a variety of software to perform energy, heating and cooling load and computational fluid dynamic calculations. Mentor junior and intermediate level staff and participate in performance coaching. Participate in the recruitment and interviewing process as requested. An ideal candidate has: A bachelor's degree in Mechanical Engineering, Architectural Engineering or equivalent. Minimum 10 years of experience working as a mechanical engineer designing HVAC, sustainable design and automatic control systems, including experience performing energy modeling. The ability to apply critical thinking to develop conceptual design solutions in the early stages of Project Planning. LEED AP preferred. Professional Engineer (PE) registration required. The desire to lead and mentor others in area of expertise. Working knowledge of the design and construction process and the ability to understand and communicate with professionals of other disciplines. Working knowledge of Autodesk Revit and Microsoft Office Suite software. Excellent verbal and written communication skills in dealing with internal and external clients. At SmithGroup, we are committed to helping our staff thrive with great projects and time to unwind. We offer flexible scheduling, a hybrid work environment, 3 weeks of PTO within your first year of employment with the option of purchasing additional time off, 8 paid federal holidays, plus 15 extra Fridays off! Our benefits plan includes medical, dental, and vision coverage, wellbeing resources, paid parental leave, a flex spending account and voluntary insurance options. We invest in your future through our 401(k) program with employer matching, tuition reimbursement program, one‑on‑one career coaching and professional development opportunities. While we may ultimately pay more or less than a posted salary range, at the time of posting the anticipated salary range for this position is $135,000 to $187,000 annually and you are eligible for a performance‑based bonus each year. To be considered for this role, please create a profile and apply! Equal Opportunity Employer We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state and local laws. If you require reasonable accommodation to complete this application, interview, or otherwise participate in the employee selection process, please direct your inquiries to **********************. #J-18808-Ljbffr

Mechanical Engineering leads and delivers the development of innovative and compliant mechanical design solutions, as well as cross-functional interfaces for computer systems and peripherals. Our team conducts the analysis, feasibility studies and testing of mechanical products, instruments, subassemblies and packaging for new and existing products - and then oversees the introduction of design changes to the manufacturing organizations. As AI growth is accelerating, Dell Technologies is developing ground-breaking technologies and customer solutions to lead the industry. These technologies are rapidly changing and we're developing best-in class AI, Cloud, High Performance Computing (HPC), Edge computing devices and enterprise networking, server and storage products. Join us to do the best work of your career and make a profound social impact as a Senior Mechanical Engineer on our IT Rack Infrastructure Team in Hopkinton, Massachusetts or Austin, Texas . What You'll Achieve As a Senior Mechanical Engineer, you'll collaborate with our global community of mechanical, electrical, and thermal engineering experts to create cutting-edge, rack‐level data center solutions that power the next generation of AI. You will: Partner closely with cross‐functional engineering teams to develop innovative, customer‐centric solutions Use 3D CAD tools to design sheet metal, plastic, die‐cast, and other complex components and assemblies Develop, prototype, and evaluate new mechanical concepts for feasibility and performance Work directly with suppliers, manufacturing, quality, and tooling teams to bring designs from concept to production Take the First Step Toward Your Next Career Milestone Every team member at Dell Technologies contributes something unique. Here's what we're looking for in this role: Essential Requirements 5+ years of experience in electro‐mechanical product development or equivalent skill Proficiency with 3D CAD software such as Creo or SolidWorks for designing sheet metal, plastics, and die‐cast components Knowledge of cooling technologies, with emphasis on liquid cooling and rack‐level thermal components Ability to interpret technical data sheets Familiarity with Finite Element Analysis (FEA) tools Desirable Requirements Bachelor's degree in Mechanical Engineering Experience designing high‐density IT rack solutions for data centers Compensation Dell is committed to fair and equitable compensation practices. The base salary range for this position is $116,450-$150,700 Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID: R283893

We are seeking a highly skilled Mechanical Engineer with strong technical and analytical capabilities to support the development of mechatronics systems. The ideal candidate will have experience in both prototype and production-level designs and a proven ability to deliver results efficiently. Design and develop 3D mechanical models and 2D drawings for mechatronics systems using SolidWorks. Perform mechanical tolerance stack-up analysis and related engineering calculations. Create mechanical assemblies for electronics and automation systems. Support rapid prototyping and production tooling processes. Collaborate with cross-functional teams to ensure design feasibility and manufacturability. Manage projects using Agile PLM tools and methodologies. Communicate technical concepts clearly through documentation and presentations. Skills Mechanical, Design, Solidworks, cad, metal fabrication, plm, machine design, gd&t Top Skills Details Mechanical,Design,Solidworks,cad,metal fabrication,plm Additional Skills & Qualifications Nice to Have: Thermal simulation analysis Structural Load Analysis Required: Bachelor's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related field. 5+ years of experience in mechanical design and product development. Proficiency in SolidWorks MCAD software for 3D modeling and 2D drafting. Experience with Agile PLM systems. Strong knowledge of mechanical assemblies, electronics integration, and automation design. Expertise in mechanical tolerance analysis. Hands-on experience with rapid prototype tooling and production tooling. Proven project management skills. Excellent communication and technical writing abilities. Experience Level Expert Level Job Type & Location This is a Contract position based out of North Reading, MA. Pay and Benefits The pay range for this position is $140000.00 - $150000.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in North Reading,MA. Application Deadline This position is anticipated to close on Jan 23, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

At Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat AI (************************************** Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the‑art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments. As a Principal Machine Learning Engineer focused on model optimization algorithms, you will work closely with our product and research teams to develop SOTA deep learning software. You will collaborate with our technical and research teams to develop LLM training and deployment pipelines, implement model compression algorithms, and productize deep learning research. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you. Join us in shaping the future of AI! What you will do Contribute to the design, development, and testing of various inference optimization algorithms in the vLLM (************************************** and related projects, such as llm-d (******************************* and LLM‑compressor (*********************************************** projects. Create and manage inference serving deployment pipelines Benchmark, profile, and evaluate different parallelizations, quantization and sparsification approaches to determine the best performance for specific hardware and models Participate in technical design discussions and provide innovative solutions to complex problems Stay up-to-date with the latest advancements in the open source LLM model architecture, LLM Inference parallelizations/optimizations techniques, and quantization research Stay up-to-date of latest CPU and GPU hardware architecture and features to boost AI inference performance Give thoughtful and prompt code reviews Mentor and guide other engineers and foster a culture of continuous learning and innovation Continuous collaboration with internal and external open source contributors while contributing to vLLM and related projects What you will bring Strong understanding of machine learning and deep learning fundamentals with experience in one or more of LLM Inference Optimizations, Computer Vision, NLP, and reinforcement learning Experience with tensor math libraries such as PyTorch and NumPy Strong programming skills with proven experience implementing Python based machine learning solutions Ability to develop and implement research ideas and algorithms Experience with mathematical software, especially linear algebra Understanding of Linear Algebra, Gradients, Probability, and Graph Theory Strong communications skills with both technical and non-technical team members BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a strong plus. #AI-HIRING #LI-MD2 The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat (************************ is the world's leading provider of enterprise open source (******************************************** software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in‑office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare and dependent care Health Savings Account - high deductible medical plan Retirement 401(k) with employer match Paid time off and holidays Paid parental leave plans for all new parents Leave benefits including disability, paid family medical leave, and paid military leave Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply. #J-18808-Ljbffr

Vaxess is developing a pipeline of next-generation therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the Vaxess' patch combines room temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Mechanical Engineer is a hands-on position involving designing, building, and maintaining automated production equipment throughout its lifecycle. This role will be responsible for design, assembly, installation, qualification, ongoing maintenance, and optimization of automated production systems requiring expert troubleshooting of mechanical assemblies and systems, performing root cause analysis, and implementing corrective actions to ensure efficient, reliable manufacturing operations. Responsibilities Design, implement, and maintain novel automated systems and solutions that contribute to current manufacturing and scale up of manufacturing operations to eventual commercialization. Document equipment and procedures though User Requirements Specifications, detailed mechanical, electrical, and assembly drawings, and use and maintenance SOPs. Contribute to the implementation and maintenance of the Quality Management System. Collaborate closely with cross-functional teams to support product development and manufacturing activities, and to identify and resolve manufacturing issues. Contribute to continuous improvement to increase safety, quality, and efficiency of manufacturing. Qualifications BS or advanced degree in Mechanical Engineering or a related discipline. At least 2-5 years of experience in designing, building, installing, qualifying, and maintaining automated systems for high volume medical device manufacturing. Experience writing and executing IQ, OQ and PQ protocols. Experience developing URS, FAT and SAT documents for automated equipment 3D CAD (SolidWorks or similar) as well as Mechanical design of fixtures, assemblies and equipment. Understanding and working knowledge of mechanical linkages, power transmissions and practices. Understanding of diverse fabrication techniques, manufacturing processes, and Design for Manufacturability Excellent time and project management skills and proven ability to meet goals and deadlines. Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams. Entrepreneurial spirit and drive to positively impact global human health. At Vaxess, we're bringing together exceptional talent to drive our product development forward. We value collaboration, curiosity, and a dynamic work environment. To apply, please submit your CV/resume to ******************.

The Artificial Intelligence & Machine Learning Engineer/Scientist I works within the Artificial Intelligence Operations and Services group (AIOS) in the Informatics & Analytics department of Dana-Farber Cancer Institute. This role provides support in machine learning, NLP, and computer vision to build reusable and scalable AI/ML tools and pipelines to support Dana-Farber operations, research, and clinical practice. The role operates in a matrixed team environment, collaborating with client-facing leads, software engineers, product managers, project managers, project sponsors, and clients. The Informatics & Analytics department serves patients, present and future, by collaboratively building a sustainable informatics and analytics ecosystem of tools and services to support and grow the Institute's research, clinical, and business missions. The AIOS group provides services related to AI, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling. 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. Responsibilities: Contribute to the development, deployment, and monitoring of AI solutions, supporting scalable and efficient practices to ensure reliable telemetry tracking, model performance monitoring, and cross-platform efficiency. Assist in implementing and maintaining data and machine learning solutions, helping to manage models throughout their lifecycle to ensure they are well-organized, auditable, and maintain high accuracy. Support the creation and maintenance of CI/CD pipelines for machine learning models in cloud environments, including workflows for batch, online, streaming, and edge training/inference. Elicit functional requirements from end users and data science teams, utilizing methods such as user interviews, mockups, wireframes, end-to-end testing, prototypes, GUI designs, and use cases. Provide updates on assigned tasks and project progress to multiple groups including the AIOS team, client-facing leads, project sponsors, business owners, and internal stakeholders. Work effectively as part of a team, contributing to shared goals and supporting the success of projects and initiatives. Qualifications: Bachelor's degree in a related field (Computer Science, Data Science, Engineering) required. Master's degree preferred. 1 year of work experience in machine learning and AI required. Relevant lab work and research projects, teaching assistantships, internships, cooperative education programs undertaken during an advanced degree program may be considered toward qualifying work experience. Experience within a clinical or research environment preferred. Knowledge, Skills, and Abilities Required: Excellent communication and effective problem-solving skills. Track record in serving a variety of diverse customers and projects. Ability to work independently, prioritize, and adapt to meet the evolving needs of the Institute. Familiarity with Python. R, Databricks, and/or Snowflake experience preferred. Experience with one of the following: MLOPS and ML engineering; GenAI and agentic AI; AL/ML and data science; data engineering and pipelines. 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. #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

Principal Machine Learning Engineer, AI Inference page is loaded## Principal Machine Learning Engineer, AI Inferenceremote type: Hybridlocations: Bostonposted on: Posted Todayjob requisition id: R-050966## Job SummaryAt Red Hat we believe the future of AI is open and we are on a mission to bring the power of open-source LLMs and vLLM to every enterprise. Red Hat Inference team accelerates AI for the enterprise and brings operational simplicity to GenAI deployments. As leading developers, maintainers of the vLLM project, and inventors of state-of-the-art techniques for model quantization and sparsification, our team provides a stable platform for enterprises to build, optimize, and scale LLM deployments.As a Principal Machine Learning Engineer focused on vLLM, you will be at the forefront of innovation, collaborating with our team to tackle the most pressing challenges in model performance and efficiency. Your work with machine learning and high performance computing will directly impact the development of our cutting-edge software platform, helping to shape the future of AI deployment and utilization. If you are someone who wants to contribute to solving challenging technical problems at the forefront of deep learning in the open source way, this is the role for you.Join us in shaping the future of AI!## What you will do* Write robust Python and C++, working on vLLM systems, high performance machine learning primitives, performance analysis and modeling, and numerical methods.* Contribute to the design, development, and testing of various inference optimization algorithms* Participate in technical design discussions and provide innovative solutions to complex problems* Give thoughtful and prompt code reviews* Mentor and guide other engineers and foster a culture of continuous learning and innovation## What you will bring* Extensive experience in writing high performance code for GPUs and deep knowledge of GPU hardware* Strong understanding of computer architecture, parallel processing, and distributed computing concepts* Experience with tensor math libraries such as PyTorch* Deep understanding and experience in GPU performance optimizations* Experience optimizing kernels for deep neural networks* Experience with high-performance networking protocols and technologies including UCX, RoCE, InfiniBand, and RDM* Strong communications skills with both technical and non-technical team members* BS, or MS in computer science or computer engineering or a related field. A PhD in a ML related domain is considered a plus#AI-HIRING#LI-MD2The salary range for this position is $189,600.00 - $312,730.00. Actual offer will be based on your qualifications.**Pay Transparency**Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.**About Red Hat**is the world's leading provider of enterprise software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.**Benefits** ● Comprehensive medical, dental, and vision coverage ● Flexible Spending Account - healthcare and dependent care ● Health Savings Account - high deductible medical plan ● Retirement 401(k) with employer match ● Paid time off and holidays ● Paid parental leave plans for all new parents ● Leave benefits including disability, paid family medical leave, and paid military leave ● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!**Note:** These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.**Inclusion at Red Hat** Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.**Equal Opportunity Policy (EEO)** Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.### Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.### Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.At Red Hat, our commitment to open source extends beyond technology into virtually everything we do. We collaborate and share ideas, create inclusive communities, and welcome diverse perspectives from all Red Hatters, no matter their role. It's what makes us who we are.Some of the most knowledgeable and passionate people in the technology industry work here. Whether we're building software, championing our products, or training new associates, we're collaborating openly to make a difference in the world of open source and beyond. #J-18808-Ljbffr

Join our dynamic Manufacturing Test team and shape the future of manufacturing innovation! Collaborate with a cross-functional team of test process controls and design engineers to develop cutting-edge automated and manual test solutions for diverse robotic systems. Design, prototype, iterate, and deploy solutions that directly enhance the quality, accuracy, and speed of our manufacturing operations. See your solutions make a tangible impact on the business and thrive in our fast-paced, startup-like environment. Responsibilities: + Collaborate with multiple stakeholders such as R&D, manufacturing, supply chain, and quality to determine key design considerations for test equipment design, fabrication, and implementation. + Exhibit role model behavior of thorough engineering analysis and manage projects from a basic concept to production, including developing specifications, design requirements, prototyping, testing, validation, and simplification. + Validate concepts through engineering modeling, hand calculations, and prototypes. + Perform static and dynamic analysis on mechanical systems using both FEA (Ansys or SolidWorks Simulation) and hand calculations. + Design mechanical subsystems with industrial automation systems such as motors, actuators, sensors, and safety systems. + Create design documentation including requirements, engineering design process, functional specifications, drawings, design validation plans/reports, future iterations, compliance, and preventative maintenance. Skills: + Bachelor's Degree in Mechanical Engineering or equivalent and 5+ years of relevant work experience. + Proven experience in scoping, designing, and analyzing mechanical and electro-mechanical systems. + Strong understanding of Design for Manufacturing and Assembly (DFMA) principles. + Proficiency in SolidWorks. Experience with ProE/Creo for part design, advanced assemblies, configuration management, and drawing creation is a plus. + Hands-on experience with rapid prototyping methods such as machining, sheet metal, weldments, and additive manufacturing. + Proficiency with Product Lifecycle Management (PLM) software and change management processes. Additional Skills & Qualifications: + Experience designing and troubleshooting complex mechanical, electro-mechanical, or pneumatic systems. + Excellent technical documentation skills, including creating clear and concise drawings. + Experience with PLM systems such as Oracle Agile, PTC Windchill, and SolidWorks PDM. + Knowledge of volume manufacturing processes. Work Environment The position requires flexibility to commute to Westborough, MA, 5 days a week. The role is situated in a fast-paced and innovative environment that encourages collaboration and continuous improvement. Job Type & Location This is a Contract position based out of North Reading, MA. Pay and Benefits The pay range for this position is $50.00 - $54.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: - Medical, dental & vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life & AD&D for the employee and dependents) - Short and long-term disability - Health Spending Account (HSA) - Transportation benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in North Reading,MA. Application Deadline This position is anticipated to close on Jan 16, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.

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