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Operations Engineer, Operations Engineering
Amazon 4.7
Operations engineer job in Boston, MA
As an Operations Engineer, you will lead and manage the lifecycle of challenging cross-functional projects, developing and delivering the next generation of sortation and distribution solutions. You are a customer obsessed leader that will play an integral part in planning and implementation of the facility network infrastructure including new builds, retrofits, expansions and program initiatives. Partnering with internal customers and internal/external stakeholders to engage as a team and ensure a timely handover will be part of your critical tasks. As an Operations Engineer for Amazon, you will work with some of the most talented engineers in the design, development, and delivery of physical distribution systems around the globe. You are responsible for managing a technology or integration project, successfully delivering the solution to meet project goals. You may work directly with external equipment vendors, customers, or partners, and you have a solid understanding of the design approaches and industry technologies utilized in fulfillment and distribution center designs. To meet timelines and minimize disruption to support teams, you manage the overall schedule, proactively mitigate risks, and keep the scope of engineering deliverables under control. This role requires up to 80% travel and availability to work from a corporate office when not traveling. Candidates should either live near or be willing to relocate within a reasonable commuting distance of the office. Relocation assistance may be provided. Key job responsibilities - Work independently with internal and external teams to successfully manage the lifecycle of challenging projects, and act as owner in delivering on project objectives and targets. Projects may span organizations or geographies in support of business objectives. - Actively participate in firm engineering reviews, and make tangible impact on the proposed solutions on an individual system or its components, on the overall systems architecture, and on facility processes. - Partner with internal teams, stakeholders and external vendors to set project priorities, establish milestones, and drive schedules to meet deadlines. Proactively assess stakeholders' dependencies and milestones, problem-solve and drive solutions to mitigate the impact from the issues. - Lead and coordinate all execution efforts in delivering systems and automated equipment designs per established standards and guidelines. Perform equipment/system installation, throughput and safety qualifications. Simplify, optimize, remove bottlenecks and provide feedback while resolving difficult system problems or technical deficiencies. - Lead effective meetings by setting the objectives, putting the right people in the room and driving detailed business and technical discussions/alignment. Document meeting discussions, decisions and future steps, ensuring alignment on expectations with internal partner teams and outside vendors. - Promptly and accurately communicate project status, risk analysis and risk mitigation plans. Effectively answer project questions in detail, and regularly produce clear and concise summaries for the project to leadership/management team. - Competently articulate system and/or equipment designs, including layouts, technical specifications and functional capabilities to internal customers and partner teams. - Efficiently manage change order controls, purchase orders, and invoice validation/approvals. - Excel at building strong working relationships with internal and external stakeholders across multiple projects. - Identify and lead process improvement initiatives that improve the Engineering and cross-teams' efficiencies, optimizing the teams' value and delivery. Through collaboration, generate high-quality, cost-effective solutions in compressed periods of time. - Up to 80% travel domestically although travel intensity can be variable and consist of up to three weeks in a row, including weekends. Basic Qualifications - Bachelor's Degree in Industrial Engineering, Mechanical Engineering, or other STEM field - 0-4 years of experience as a Project Engineer, Process Engineer, Project Manager, Manufacturing Engineer, or related occupation - Experience managing the lifecycle of cross-functional projects, implementing automated equipment and/or integrated systems - Experience with CAD software (AutoCAD, REVIT, BIM 360, etc.) Preferred Qualifications - Master's degree in Engineering, Operations, Business Administration, or a related STEM field - Operations Management/Distribution Center experience with direct management or responsibility for material handling, automation, or other technical projects - Experience with Six Sigma and/or Lean Manufacturing - Experience with Microsoft Project, Smartsheet programs - Experience with design and/or implementation automation solutions, such as Conveyors, Sorters, high speed manufacturing and packaging lines, Robotic work cells - Proven technical leadership for industrial engineering projects or program Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $54,600/year in our lowest geographic market up to $93,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
$54.6k-93.5k yearly 5d ago

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SoC Physical Design Engineer, STA/Timing
Apple Inc. 4.8
Operations engineer job in Waltham, MA
- 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
$128k-167k yearly est. 5d ago
Healthcare AI/ML Engineer - ML Ops, NLP & CV
Dana-Farber Cancer Institute 4.6
Operations engineer job in Boston, MA
A leading cancer research institute in Boston seeks an Artificial Intelligence & Machine Learning Engineer/Scientist I. This role involves developing scalable AI solutions, collaborating within a dynamic team, and ensuring model performance. Candidates should hold a Bachelor's degree in a related field and possess at least one year of relevant experience. An inclusive work environment is emphasized, encouraging all qualified applicants to apply. #J-18808-Ljbffr
$76k-102k yearly est. 4d ago
Machine Learning Engineer, Personalization
Spotify
Operations engineer job in Boston, MA
The Safe-and-Sound team makes Spotify safe and enjoyable for every listener. From podcast recommendations to AI Playlists, we're a part of some of Spotify's most-loved features. We build Responsible AI solutions by understanding our music, podcasts and users better than anyone else. Join us and you'll keep millions of users listening by making recommendations safe for each and every one of them. What You'll Do Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Collaborate with a cross functional agile team spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and relevant ways Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users Help drive optimization, testing, and tooling to improve quality Be part of an active group of machine learning practitioners in New York (and across Spotify) collaborating with one another Who You Are You have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. You have hands-on experience implementing production machine learning systems at scale in Java, Scala, Python, or similar languages. Experience with XGBoost, TensorFlow is also a plus. You care about agile software processes, data-driven development, reliability, and disciplined experimentation Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the North America region as long as we havea work location. This team operates within the Eastern Standard time zone for collaboration. The United States base range for this position is $136,878- $195,540 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what's playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It's in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world's most popular audio streaming subscription service. #J-18808-Ljbffr
$136.9k-195.5k yearly 2d ago
Machine Learning Engineer - Prediction
Motional Ad Inc.
Operations engineer job in Boston, MA
Our teams are made up of engineers, researchers, innovators, dreamers, and doers. Together, we can change the world. All Motional open positions and applications will be posted here on the official website. Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems - and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML‑based scene understanding, behavior prediction, and planning models. Day‑to‑day responsibilities include: Designing and training large models for predicting surrounding agents, AV behaviors, and end‑to‑end planning systems by executing high‑value experiments based on collaborative input from other machine learning engineers Prototyping and implementing continuously improving metrics to evaluate the performance of our behavioral models across many desired scenarios and robotaxi capabilities Timely release of major model updates, including analysis of both off‑line and on‑road evaluation data Staying up to date with the latest trends in our fast‑moving industry, and proposing new architectures and network designs Maintaining a high-quality training and evaluation code‑base, including portions of our training stack dedicated to dataset generation and evaluation What We're Looking For: Masters or PhD in Machine Learning, Generative AI, Computer Science, Applied Mathematics, Statistics. In‑depth understanding of common Machine Learning and Deep Learning algorithms, especially transformer‑based architectures, autoregressive decoder architectures etc. Experience designing, training, and analyzing neural networks/transformer‑based models for at least one of the following applications: motion planning, object detection, sensor fusion, motion prediction, and/or multi‑object tracking, multi‑agent predictions. Knowledge of software engineering principles, including software design, source control management, build processes, code reviews, and testing methods Knowledge or course experience of generative models such as VLM, VLA etc. Experience with PyTorch or other Python‑based deep learning frameworks Experience working with large data sets, data curation, and augmentation. Bonus Points Publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ECCV, ICRA, IROS etc.) Project or internship experience on VLM, VLA and other foundation models for robotics and self‑driving. PhD in machine learning, generative AI, computer vision, or robotics vision Project experience working on autonomous vehicles or related fields Experience in deploying models into real‑world environments Strong programming skills in C++ and/or CUDA programming The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range $142,000 - $190,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. We're creating first‑of‑its‑kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully‑autonomous cross‑country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest‑standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E‑Verify. All newly‑hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility. Motional is powered by a uniquely talented, highly experienced team with a diverse set of skills across engineering, robotics, machine‑learning, and artificial intelligence. #J-18808-Ljbffr
$142k-190k yearly 1d ago
Mechanical Engineer
Actalent
Operations engineer job in Brockton, MA
Develop and modify 3D CAD models for sheet metal and CNC‐machined components, assemblies, and full enclosure designs. Break down complex assemblies into manufacturable subassemblies and produce accurate BOMs, production drawings, and documentation. Apply solid working knowledge of sheet metal fabrication and metal machining (CNC) to ensure designs are production‐ready. Incorporate military environmental requirements (shock, vibration, sand/dust, salt fog) into design decisions. Support ECO work initially, transitioning into new product design as experience grows. Participate in DFM reviews and collaborate closely with manufacturing, test, quality, and program teams. Provide occasional support during manufacturing builds to ensure smooth product release. Apply good mechanical design practices to help minimize EMI through features like cover interfaces, gasket strategy, and hardware spacing. Skills Design, Mechanical, MIL-STD, sheet metal, CNC, bom, Solidworks, creo, Bill of material, Rugged, Electro-mechanical, electronics Additional Skills & Qualifications Bachelors in Mechanical Engineering (BSME) required. 4-10+ years of relevant mechanical design experience. Creo preferred, but SolidWorks is acceptable. Ability to manage multiple projects and shift priorities. GD&T fundamentals. Experience with ruggedized or military-grade hardware is highly desirable but not required in place of strong mechanical skills. Familiarity with EMI-related mechanical design techniques is nice to have. Job Type & Location This is a Permanent position based out of Brockton, MA. Pay and Benefits The pay range for this position is $105000.00 - $125000.00/yr. Atrenne provides eligible employees with a range of benefits including medical insurance plans, dental insurance, vision insurance, short and long term disability, life insurance, voluntary benefits, Vacation, sick and holiday pay and a 401k plan with company match. Workplace Type This is a hybrid position in Brockton,MA. Application Deadline This position is anticipated to close on Jan 31, 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.
$105k-125k yearly 4d ago
Data Studio Engineer - Mechanical Engineering
Foundationllm
Operations engineer job in Boston, MA
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
$75k-99k yearly est. 1d ago
Machine Learning Engineer, Perception R&D
Pickle Robot
Operations engineer job in Boston, MA
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
$130k-160k yearly 4d ago
Machine Learning Engineer (Boston, MA located only)
Haemonetics Software Solutions
Operations engineer job in Boston, MA
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
$101.1k-136.6k yearly 5d ago
Machine Learning Engineer
Peke Labs
Operations engineer job in Boston, MA
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
$88k-130k yearly est. 5d ago
Machine Learning Engineer Boston, MA ( )
Petsapp
Operations engineer job in Boston, MA
👋 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
$88k-130k yearly est. 5d ago
Machine Learning Engineer I
Codametrix
Operations engineer job in Boston, MA
CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix's autonomous coding drives efficiency under fee-for-service and value-based care models and supports improved patient care. We are passionate about getting physicians and healthcare providers away from the keyboard and back to clinical care. Job Description: At CodaMetrix, the machine learning (ML) and AI team is responsible for the invention, analysis, and deployment of new ML techniques using healthcare data to improve administrative and clinical medicine. We are looking for an ML Engineer I to join our machine learning team and play a pivotal role in translating proof-of-concept ideas to scalable solutions. You will work with a multidisciplinary team of engineers, data scientists, academicians to gather requirements and understand performance criteria to deliver solutions that optimize operational efficiency, and drive innovation in the healthcare industry. The Machine Learning Engineer I reports to the Director of MLEN. Key Responsibilities: Establish processes for data and modeling lifecycle through managing the transitions from proof-of-concept to production. Collaborate with machine learning, engineering, and product development teams, for deployment of new machine learning techniques and follow deployments, tracking issues, and successes. Ability to quickly adapt to dynamic requirements in terms of programming, system design and solutioning Work on data preprocessing, feature engineering, and model evaluation to ensure robust and accurate predictive models. Produce technical documentation, software, and supporting test code Participate in all team activities, including agile ceremonies and reviews of other engineers designs and code Qualifications: Bachelor's degree in Computer Science, Machine Learning, or a related field Proficiency in Python, data manipulation libraries (Pandas, Numpy), deep learning frameworks (MLFlow, PyTorch with focus on Large Language Models) Understanding of natural language processing, relevant machine learning subfields Foundational grasp of Distributed computing, scalable data transformation, and event-based processing using Spark, preferably using the Databricks platform Knowledge of SQL and NoSQL Databases Proficiency in working within a Linux ecosystem and experience with Docker Effective verbal and written communication skills with both management and peers Beneficial Experience: Experience working in a startup / fast paced environment Experience with cloud platforms (e.g., AWS, Databricks) for model deployment and scaling Statistical background and/or exposure to ML techniques and programming Familiarity with healthcare regulations and privacy requirements (e.g., HIPAA). Experience working with healthcare data and knowledge of US healthcare systems Previous experience with data visualization tools and reporting. What CodaMetrix can offer you: Learn more about our full-time employee benefits and how we take care of our team. Health Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance Retirement: We offer a 401(k) plan that eligible employees can contribute to one month after their first day Flexibility: We have a generous Paid Time Off policy, which is managed but not limited, so you can take the time you need to relax and rejuvenate Learning: All new hires complete our 7-week Onboarding Program where they learn about our company and each of our departments through live sessions hosted by a variety of our leaders Development: We provide annual performance evaluations and prioritize working with employees on what their individual growth looks like Recognition: We recognize the outstanding achievements of our team through annual company awards where employees have the opportunity to nominate their peers Office Location: A modern open plan workspace located in the bustling Back Bay neighborhood of Boston Additional Employer Paid Benefits: We offer employer-paid life insurance and short-term and long-term disability insurance Background Check Notice All candidates will be required to complete a background check upon acceptance of a job offer. Equal Employment Opportunity Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment. Don't meet every requirement? We invite you to apply anyway. Studies have shown that women, communities of color and historically underrepresented talent are less likely to apply to jobs unless they meet every single qualification. At CodaMetrix we are committed to building a diverse, inclusive and authentic workplace and encourage you to consider joining us. #J-18808-Ljbffr
$88k-130k yearly est. 2d ago
Data Science and Machine Learning Engineer
The Website 4.3
Operations engineer job in Boston, MA
.**About the Opportunity****About the Institute for Experiential AI and Northeastern University**We have launched a pioneering research and innovation hub in AI-one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous.Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.**The Culture**Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all that we do. Working at the EAI offers opportunities, an environment, and a culture that just aren't found together anywhere else. This is the right place for you if you're curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems The Data Science and Machine Learning Engineer will report to Ayan Paul, Research Scientist at EAI and collaborate with Scientists and Clinicians from Peter Castaldi's group at the Harvard Medical School, John Platig's Network Biology group at University of Virginia and Jennifer Dy's Machine Learning group at ECE, Northeastern University and Predrag Radivojac's group at Khoury College, Northeastern University. There will also be opportunities to work on industry collaborations. Responsibilities will include building an ETL and ML pipelines for multiomics or healthcare data, write code for data analysis and post-processing data. Training of models like CNN, RNN, Transformers with some work in classical machine learning with XGBDTs is expected. Relevant work can lead to co-author publications and contributions to grant proposals. Tentative start date: February 2026 for the Spring 2025 semester with possibilities of renewal. This work will contribute towards drug discovery, protein structure and function prediction and understanding disparities in healthcare.**Qualifications**● MS in Data Science, Machine Learning, Artificial Intelligence, or related fields or currently enrolled in a master's program.● A minimum of 3-4 years of experience working with ML/AI (TensorFlow/Pytorch) and ETL pipelines.● Proficiency in Python and R. Experienced with Unix and remote computing clusters.● Having experience in wrangling large datasets, building databases and ETL is preferred.● An ability to write clean and well-documented code and work with GitHub repositories.● Excellent organizational skills including attention to detail and multitasking.● An ability to troubleshoot and problem-solve in response to challenges, especially, in an unfamiliar domain.● Experience with AWS is a plus but not required**Values & Abilities:**● Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders from various academic backgrounds.● Respect for diversity and the importance of interdisciplinary teams.● Self-starter and innovative thinker and a team-player who can collaborate effectively in a university setting.● Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University, Harvard Medical School, and University of Virginia.**Key Responsibilities:**The Data Science and Machine Learning Engineer will be responsible for a wide variety of data-oriented tasks, including:● Building data preprocessing pipelines for ML/AI models (TensorFlow/Pytorch) for multi-omics and healthcare data from to achieve state-of-the-art performance.● Build ETL pipelines for large datasets● Documenting the entire process and all the codes generated and maintaining structured and regular commits in a Github repository.● Write reports/prepare slide decks describing work performed.● Contribute to scientific manuscripts and grant proposals where appropriate.**Position Type**Non-Student Temporary (20 hrs/week)**Position Type**Temporary**Additional Information**Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit for more information. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.This job is for a current or anticipated job vacancy.**Pay Rate:**$40/hour Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system-which includes 14 campuses across the U.S., U.K., and Canada, 300,000-plus alumni, and 3,000 partners worldwide-serves as a platform for scaling ideas, talent, and solutions. The university's residential campuses for undergraduate and graduate degrees are located in Boston, London, and Oakland, California. Our research and graduate campuses are in the Massachusetts communities of Burlington and Nahant; Arlington, Virginia; Charlotte, North Carolina; Miami; Portland, Maine; Seattle; Silicon Valley, California; Toronto; and Vancouver.Northeastern's personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment. Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors-aligned around solving today's highly interconnected global challenges and focused on transformative impact for humankind. #J-18808-Ljbffr
$40 hourly 2d ago
Automation Mechanical Design Engineer for Cell Therapy
Vertex Pharmaceuticals 4.6
Operations engineer job in Boston, MA
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
$75-90 hourly 1d ago
Machine Learning Engineer
Gentuity, LLC
Operations engineer job in Sudbury, MA
Our Company Gentuity is an exciting and highly innovative medical technology firm, active in the research and development, clinical translation, and commercialization of vascular imaging devices. This opportunity provides the candidates the unique chance to work on innovative medical products, with the potential to significantly change the practice of medicine in the care of patients suffering from a wide range of highly debilitating vascular diseases. SUMMARY OF PRIMARY DUTIES AND RESPONSIBILITIES: Software and Algorithm Development Research and development of research tools related to artificial intelligence, deep learning models, and signal/image processing algorithms. Evaluation of different deep learning models, algorithms, and training sets. Design and apply bioinformatics algorithms including machine learning and dynamic programming to medical imaging data sets. Create novel analytical tools as required by research goals. Develop new software applications or customize existing ones to meet specific scientific project needs. Develop data models, databases, and coordinate data annotation. Communicate Research Results Communicate results through project reports. Consult with researchers to analyze problems, recommend technology-based solutions, or determine computational strategies. Confer with departments, such as marketing, business development, or operations, to coordinate product development or improvement. Participation in development of production quality software and other duties as assigned. EXPERIENCE/SKILL REQUIREMENTS: Must have: Tensorflow and/or PyTorch. Python Machine Learning for Image or Data Processing (TensorFlow or similar packages) Experience in at least three of the following: Computer Vision Medical devices or imaging. Image Processing algorithms AWS / Azure / Cloud solutions Python, TensorFlow, Pytorch Git Experience with building embedded software in medical, scientific, and/or analytical devices a plus. EDUCATIONAL REQUIREMENTS: Master's degree or equivalent experience in a technical field (e.g., Computer science, Data Science, Electrical and Computer Engineering, Mathematics, or Physics)
$88k-130k yearly est. 1d ago
Principal Engineer, Enterprise Scalability
Klaviyo Inc. 4.2
Operations engineer job in Boston, MA
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
$112k-161k yearly est. 4d ago
Principal Machine Learning Engineer
Red Hat, Inc. 4.6
Operations engineer job in Boston, MA
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
$87k-116k yearly est. 1d ago
GenAI Engineer IV - Generative AI
FM 3.9
Operations engineer job in Johnston, RI
Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. GenAI Engineer IV - Lead Innovation with Generative AI Join our Innovation Analytics & AI team as a GenAI Engineer IV, where you'll shape the future of AI solutions for enterprise-scale impact. This expert-level role drives strategy, architecture, and implementation of cutting-edge Generative AI systems using LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models on Azure and cloud platforms. You'll design cloud-native architectures, build RAG workflows, and integrate structured/unstructured data to deliver secure, scalable AI solutions. Using tools like Promptflow, LangChain, Azure AI Search, and Vector DBs, you'll create agentic AI frameworks, optimize performance, and ensure ethical compliance. You will collaborate and guide Solution Architects to align AI strategies with business goals, ensuring performance, security, and scalability while integrating structured and unstructured data into analytics platforms. As a technical leader, you'll mentor engineers, influence enterprise AI strategy, and foster a culture of innovation and continuous learning. This role offers the chance to drive impactful AI initiatives, collaborate across teams, and stay ahead of industry trends. What You'll Do Lead the strategy, design, architecture, and implementation of scalable Generative AI solutions using LLMs (e.g., OpenAI, Gemini, Llama2, GPT-4), multi-modal models, and open-source frameworks within Azure Microsoft Infrastructure. Develop robust data integration pipelines and RAG workflows using tools like Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, and Semantic Kernel. Design and implement robust test automation strategies within CI/CD pipelines, define observability metrics using Azure Application Insights and Dynatrace, and support production deployments with detailed documentation and risk mitigation. Collaborate with Solution Architects to ensure successful delivery of enterprise initiatives such as application security, API development, architecture, and test automation. Act as a subject matter expert in tools and technologies, lead internal learning forums, set strategic objectives, and drive the adoption of innovative methods. What We're Looking For Education Minimum Education Required to Perform Essential Job Functions: 4-Year / bachelor's degree, preferably in Computer Science, Data Science, Artificial Intelligence, or equivalent experience 8+ years in AI engineering with deep expertise in GenAI and cloud architectures. Advanced skills in Python, .NET, C#, and tools like LangChain, Hugging Face. Strong knowledge of LLMs, multi-modal models, and CI/CD automation. Proven leadership in AI strategy, mentoring, and enterprise-scale delivery. Expert-level proficiency in Python, .NET, and C# programming for AI applications Advanced expertise with GenAI tools (Promptflow, Azure AI Search, Semantic Search, Hybrid Search, Document Intelligence, Skillsets, Generative RAG Search, Vector DBs, Azure OAI, AI Hub, Agents, Assistants, LangChain, Hugging Face, Llama Index, Semantic Kernel) Deep knowledge of leading LLMs (OpenAI, Gemini, Llama2, GPT-4) and multi-modal models Experience with cloud-native architectures, Kubernetes, Terraform, and API development Strong understanding of CI/CD pipelines, automated testing, and test automation strategies Expertise in ethical AI practices (bias detection, hallucination analysis, performance benchmarking) Exceptional leadership, mentorship, and strategic communication skills Strategic mindset for driving innovation, aligning AI strategies with business goals, and influencing enterprise-wide initiatives Why Join Us? Work on state-of-the-art AI technologies shaping the future of business. Influence enterprise-wide AI strategy and innovation. Collaborate with top talent in a dynamic, growth-oriented environment. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1
$76k-102k yearly est. Auto-Apply 1d ago
Principal AI-Machine Learning Engineer
Dana-Farber Cancer Institute 4.6
Operations engineer job in Boston, MA
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
$154k-184.5k yearly 3d ago
Mechanical Engineer
Actalent
Operations engineer job in North Reading, MA
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 (%20actalentaccommodation@actalentservices.com) for other accommodation options.
$140k-150k yearly 4d ago

Learn more about operations engineer jobs

How much does an operations engineer earn in Somerville, MA?

The average operations engineer in Somerville, MA earns between $53,000 and $132,000 annually. This compares to the national average operations engineer range of $63,000 to $132,000.

Average operations engineer salary in Somerville, MA

$84,000

$53,00010%

$84,000Median

$132,00090%

What are the biggest employers of Operations Engineers in Somerville, MA?

The biggest employers of Operations Engineers in Somerville, MA are:

Cushman & Wakefield
Amazon
HYCU
Roberts Recruiting
Markley Group
LOOP
Pragmatike
Tungsten Co
Dana-Farber Cancer Institute
Highmark

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Operations engineer jobs in Somerville, MA - 2,095 jobs

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Machine Learning Engineer

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Data Science and Machine Learning Engineer

Automation Mechanical Design Engineer for Cell Therapy

Machine Learning Engineer

Principal Engineer, Enterprise Scalability

Principal Machine Learning Engineer

GenAI Engineer IV - Generative AI

Principal AI-Machine Learning Engineer

Mechanical Engineer

Learn more about operations engineer jobs

How much does an operations engineer earn in Somerville, MA?

What are the biggest employers of Operations Engineers in Somerville, MA?