Machining engineer jobs in Stoneham, MA

The Role: Our teams build and contribute to Fidelity's digital presence. As a Principal Search Engineer on the Search Platform team, you will play a key role in designing, developing, and optimizing our search and content discovery platform, supporting millions of customer requests. You will be responsible for implementing and enhancing hybrid search solutions, and leveraging AI/ML techniques to improve search relevance and user experience. Your role will include building, managing, and automating cloud infrastructure to ensure robust, high-performance search capabilities for both internal associates and customers. You'll collaborate with cross-functional teams to deliver innovative search solutions, contribute ideas for product enhancements, and continually develop your technical skills in a fast-paced, team-oriented environment. The Expertise You Have: Deep expertise in implementing, configuring, and tuning enterprise-grade search solutions using Solr (preferred); experience with OpenSearch is a plus. Comprehensive knowledge of information retrieval principles, including both classic approaches (such as TF-IDF, BM25) and advanced neural search techniques (like vector embeddings and transformer-based models). Proficiency in container technologies, especially Kubernetes (AWS EKS preferred) and Docker. Solid understanding of the software development and delivery lifecycle for large-scale systems. Ability to design and implement automation and infrastructure solutions using languages such as Python, Groovy, Shell, and NodeJS. Experience with build tools and package managers (helm, maven, npm, pip, etc.). Familiarity with observability, monitoring, and logging tools such as Datadog, Splunk, or other OpenTelemetry/APM tools. Experience troubleshooting and resolving complex CI/CD pipelines, release issues, and multi-component system environments. Education / Certifications: Advanced degree in Computer Science or a related field, or equivalent professional experience. The Skills You Bring: Proven ability to lead technical efforts from conception through production deployment. Skill in translating business needs into scalable, effective search solutions. Ability to work collaboratively across organizations and drive successful outcomes. Passion and aptitude for learning new technologies and approaches, especially in the search and AI/ML space. Comfort operating in a polyglot development environment. Excellent verbal and written communication skills The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Certifications:Category:Information Technology

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 ******************.

Job Title : Mechanical Engineer Duration : 3 months ( Possibility of extension or conversion based on performance and business requirement) Shift : 2:30 PM- 10:30 PM Job Description We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet. In the greater Boston area, the epicenter of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. Having our offices, labs, test floors and factories all co-located means that we can design the hardware, write the code, test, build and watch it all come to life. This allows us to innovate quickly and on limitless ideas. Current advancements are underway in autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more. The Robotics Manufacturing and Technical Operations (RMTO) organization manufactures high-quality robotics and gets the right materials to the right place at the right time to enable our automated solutions. The Sr. Process Engineer will be responsible for participating in the development of strategic, large-scale projects for the Robotics manufacturing business. Key job responsibilities - Actively support and foster a culture of inclusion. - Own Process optimization and cost reduction initiatives for sustaining processes. - Own creation of optimized manufacturing and test processes for New Product Introduction (NPI). - Implement technology and tool improvements to impact Safety, Quality, and Cost targets. - Perform critical process reviews including Risk and Hazard assessments. - Development and Validation of processes specific to NPI programs. - Write business and operational planning documents for capital equipment and plant infrastructure. - Ability to travel (~10%) to support projects when normal business travel practices resume. Basic qualifications - Bachelor's degree in Mechanical Engineering, Industrial Engineering or related discipline. - 5+ years' experience in manufacturing environment and knowledge of GMP. - Experience with Project Management tools. - Experience in New Product Introduction environment including Phase-Gate process experience. - Experienced CAD user, demonstrated capabilities in AutoCAD and SolidWorks. - Experience using industry Problem Solving Tools such as 8D, Fishbone/Cause-Effect, or CAPA methodology. - Experience using Quality & Statistical tools such as PFMEA, control charting, pareto, and histograms. - Experience and proven skill in written and verbal business communications, organizational communications, reporting metrics. Preferred qualifications - MBA or advanced Engineering degree preferred. - Proven ability to manage and deliver projects with accelerated schedules. - Proven analytical approach to problem-solving. - Experience in manufacturing / process improvement (eg. Lean-Six Sigma). - Experience with Manufacturing Execution Systems (MES), ERP systems, and Tool / Equipment programming. - Self-motivated and able to solve problems independently and in team settings. - Experience with Process Optimization Tools including Programming, Mapping, Simulation or various algorithms.

A small, fast growing industrial distributor/manufacturer in Waltham desires a Technical Applications Engineer whose primary role will be to support and lead our sales team, develop new customers and applications and be the primary resource for technical inquiries within our specialty materials fastener business. Extreme Bolt & Fastener is a small company work environment with an office/warehouse located in Waltham, MA. We are seeking an experienced mechanical engineering focusing on applications / sales who, ideally has industry experience or related experience within the industrial, aerospace components, manufacturing or specialty materials industries. This is a key role within Extreme Bolt, giving this person the opportunity to provide engineering expertise and guidance to the sales team. This person will also work directly with a wide range of customers within the aerospace, military, electronics, space, chemicals, nuclear/fusion, oil & gas industries and other high-tech industries. Responsibilities include: Working directly with high profile customers, reviewing drawings/ specifications/material requirements, evaluating vendors, determining pricing, developing quotes and helping the sales team to understand complex requests. The candidate will also be expected to become a technical expert of our products and materials. This person should be able to thrive in a small, fast-paced multi-tasking environment, who has a can-do positive attitude, is flexible and can take initiative on new projects. The company is expanding rapidly, and this person will have a direct impact on the company's direction and capabilities. This is a perfect position for someone who is tired of big company politics, likes the freedom of a small company, wants their work to be impactful and to be a key team member of a team. This person will wear several hats and be able to get involved in many aspects of the business. This is a great opportunity to become a key person and grow with Extreme Bolt & Fastener. Responsibilities - Technical engineering support and lead for sales team. - Provide understand and insight to drawings, specs and other requirements. - Technical interface with new and existing key customers. - Create complex quotes and orders. - Field technical questions and calls from customers. - Deal with technical issues that may develop. Skills Mechanical Engineer with at least 5 years of experience in the fastener industry or related field (industrial components, specialty metals, aerospace parts etc.). Must be able to interpret complex mechanical drawings. Must be able to understand ASTM, ASME, Aerospace and Military specifications. Understanding of different manufacturing processes and techniques. Excellent computer & data skills to manage and create documents and charts. Professional and self-motivated personality. Attention to detail and care for producing quality work. Flexibility to tackle a variety of challenges and comfortable wearing multiple hats

The WMS Engineer is responsible for leading the WMS implementation (SCPP & Active), and will actively participate in the WMS design, configuration, test the supply chain platform and WMS implementation projects. Serve as the subject matter expert on Manhattan Associates (MA) Warehouse Management System (WMS- ACTIVE) and Manhattan SCPP based on an in-depth knowledge of Inbound, Outbound functions and the unique business requirements for BJ's . Roles & Responsibilities: Must have 10+ years of Manhattan WMS Experience along with at least 1 or 2 implementation experience of Manhattan Active and Manhattan WMS SCPP Develop comprehensive functional requirements and specifications for seamless integration between Warehouse Management System (Manhattan Active WMS) and SAP Create detailed documentation, including Functional Specification Documents (FSD), outlining integration processes and workflows. Collaborate with cross-functional teams to gather and analyze business requirements, ensuring alignment with system capabilities. Conduct thorough system testing and validation to guarantee the accuracy and efficiency of WMS-SAP integrations. Provide expert guidance on best practices and solutions for optimizing WMS functionalities within the context of SAP integration. Stay updated on industry trends and emerging technologies to contribute insights for continuous process improvement. Experience in Supply Chain Management especially focusing on Manhattan WMS Configurations, Functional Testing, System Integration Testing, End to End testing and Release Management pertaining to complex Warehouse Management implementations. Rich knowledge and experience on Manhattan WMS across versions Communicate effectively with stakeholders, translating business needs into actionable functional specifications. Requirements: Proven experience with Manhattan Active WMS and Manhattan SCPP Expertise in crafting detailed Functional Specification Documents Strong analytical and problem-solving skills. Strong communication and capability to work in pressure Experience with Oracle databases - SQL: queries Good understanding on Integration with ERP Experience with WMS Reports/ Supply Chain Intelligence tools. Knowledge of integrating warehouse management systems with other equipment and systems such as MHE (conveyors), Warehouse control systems (WCS), Working knowledge of Manhattan Proactive & API's

📩 ***************************** / 📞 ************ We are actively looking for a senior Manhattan Active WMS software engineer for a long standing client of ours. This role is 3 days a week onsite in Boston, MA and NOT open to remote candidates, but my client will assist with relocation for the right candidate. Key Responsibilities: Own and lead Manhattan Active WMS engineering and support. Support and stabilize current Manhattan Active implementations. Work on a roadmap that is currently heavily focused on support as they implement Manhattan Active. Contribute to a couple of active implementations already underway. Help migrate existing on-prem warehouse systems to Manhattan Active over time. Work on customizations & configurations within Manhattan (mention of “Manhattan ProActive/Active”). Partner closely with warehouses and existing sites moving to Active. Act as the subject matter expert and primary point of contact for Manhattan Active WMS internally. Must-Have Experience: Strong experience with Manhattan Active Warehouse Management (not just legacy/on-prem Manhattan). Has worked with Manhattan at scale (large or complex distribution environments). Senior/principal-level engineering background - this is more like a Senior Engineer in terms of hands-on depth, but titled Principal. Comfortable owning a function where currently “they don't have anyone” dedicated to this - needs someone who can come in and establish best practices. **No Third-Parties / No Contractors / No Sponsorship

Job Role: Senior Project Engineer Duration: Full Time About the job We are seeking a mechanical engineer to work with our team of dedicated engineers in the field of building energy efficiency. Successful candidate shall have 2-5 years post academic experience in building energy auditing (ASHRAE Level I and/ or ASHRAE Level II) and HVAC design and/ or commissioning. Experience with eQUEST or Energy Plus building energy simulation programs is a plus. Candidate must have good oral and written communication skills. Responsibilities include performing energy audits and developing new strategies for enhancing building performance.

About Analog Devices Analog Devices, Inc. (NASDAQ: ADI ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at ************** and on LinkedIn and Twitter (X). LTspice Modeling Engineer - Senior Level Position Analog Devices, Durham, NC, Wilmington, MA Analog Devices, Inc: Analog Devices (NASDAQ: ADI) is a world leader in the design, manufacture, and marketing of a broad portfolio of high-performance analog, mixed-signal, and digital signal processing (DSP) integrated circuits (ICs) used in virtually all types of electronic equipment, dedicated to solving the toughest engineering challenges. We enable our customers to interpret the world around us by intelligently bridging the physical and digital with unmatched technologies that sense, measure, power, connect, and interpret. Position Overview: As ADI expands into new product and market segments, the Multi-Market Power Group (MMP) is looking for a Senior LTspice Modeling Engineer who will be responsible for: * Creating LTspice simulation models. * Maintaining and debugging existing models, working closely with the Modeling Team. * Special projects involving technology improvements to our tools and techniques to maintain our competitive advantage. * Interfacing with IC Designers, Application Engineers, Marketing and Sales, and Management. * Maintain good and professional communications dialog with both internal and external customers. In this position, you will: * Develop behavioral circuits to model switching converters, and other ADI products as well. * Use existing model base to learn modeling techniques and grow in skill and knowledge. * Help mentor the junior engineers in our team. * Take the lead in developing technology platforms to accelerate model development and verification. * Exercise mathematical intuition and analysis to select best approaches. * Support field and/or customer questions on existing models. * Occasional technical writing, presentations, brainstorming sessions, and trainings. What you need to be successful in this role: * BSEE or MSEE with 10+ year experience and either deep experienced in switching power converters or analog IC design. With a passion to do modeling. * Strong background in analog and digital circuits, with circuit analysis techniques. * Strong analytic skills along with power electronics and control theory. * IC applications experience a plus, modern laboratory equipment use a plus. * Some level and knowledge of programming useful, MatLab/Simulink, Python, and C/C++. * Good technical writing and presentation skills. * Must possess good communication skills and have ability to work as a part of a multidisciplinary team. * Ability to work independently and it is important to be a self-starter. For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this position - except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) - may have to go through an export licensing review process. Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group. EEO is the Law: Notice of Applicant Rights Under the Law. Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days

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. Are you a forward-thinking Electrical Engineer with a thirst for innovation and a knack for solving complex problems? Do you want to be at the forefront of cutting-edge loss prevention research in Power Generation, Equipment and Renewable Science? If so, we have the perfect opportunity for you! Join our dynamic team to delve into the risks associated with Industrial & Commercial Power Generation (including solar, wind, battery storage and electrical power systems). Our multidisciplinary team leverages expertise in mechanical, electrical, structural, and rotating equipment; industrial control systems; reliability; and process engineering to pioneer a comprehensive understanding of current risks and the technologies of tomorrow. Position Overview: As a pivotal member of our team, you will engage in groundbreaking projects under the guidance of a Team Leader/Area Manager. Your role will include planning, conducting, and directing the development and evaluation of scientific and engineering projects within the electrical engineering discipline, aimed at increasing technical knowledge and providing innovative solutions. Your focus will be on engineering risk & reliability; responsibilities (with electrical discipline focus) include evaluation of new and existing designs, emerging technologies, and safety/protection systems; development of advanced inspection, maintenance and monitoring techniques and practices; performing root cause analyses of industrial loss events; and developing/providing guidance to address loss concerns of industry. Key Responsibilities: Innovate and Solve: Develop engineering solutions, evaluate new technologies, and advance scientific knowledge in electrical engineering. Communicate and Collaborate: Serve as a technical communicator between the company, its customers, and external organizations. Lead and Market: Develop and market proposals for research development supported by internal and external sources. Learn and Expand: Progressively develop competence in various engineering or scientific techniques to meet company objectives. Report and Inform: Keep the Team Leader/Area Manager informed of project status and progress, addressing any significant matters affecting objectives. Education: PhD in electrical engineering OR MS + 5 years of related experience 5+ years of design and/or operation & maintenance experience on electrical/power generation (including renewables) equipment (such as generators, transformers, wind, solar, and battery energy storage). Knowledge of relevant standards and guidelines is necessary. Exposure to power electronics, electrical system studies and modeling is desired. Engineering or research in special area of electrical engineering commanding industry recognition or leading to publication as author of original work in peer review journal, is a plus. Skills: Interested in continuous learning and expanding abilities and skills while undertaking challenging problems. State of the art knowledge in special area of electrical engineering including experience with related areas of analysis and experimental techniques. Proficient skills to analyze and resolve complex problems and the ability to work both independently and collaboratively in a dynamic multi-disciplined team environment. Superior written and communication skills for report writing and communication of technical concepts to internal and external clients. Demonstrated project management skills including technical, financial, and personnel management for a significant project. Familiarity with office tools for business and technical communication. 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

Job Posting Start Date 12-12-2025 Job Posting End DateFlex is the diversified manufacturing partner of choice that helps market-leading brands design, build and deliver innovative products that improve the world.A career at Flex offers the opportunity to make a difference and invest in your growth in a respectful, inclusive, and collaborative environment. If you are excited about a role but don't meet every bullet point, we encourage you to apply and join us to create the extraordinary.Job Summary Farm, a Flex company, has over 50 years of experience providing award-winning development services for medical, life sciences, and consumer healthcare companies. People at Farm are strategic thinkers, makers, and passionate collaborators. We strive to develop products that make a meaningful difference in people's lives, to embrace a culture of innovation and ingenuity and to wake up every day with the goal of creating the exceptional. Our talented researchers, designers, and engineers work in a highly collaborative environment on innovative products designed to improve people's lives. At Farm, you'll learn from bright, curious, motivated individuals excited to tackle the world's healthcare technology challenges. Farm is integral part of Flex, a global and multi-national design and manufacturing company that partners with the top medical device OEMs in the world. Located in Southern, NH, our team has the best of both city and country living with a convenient drive to Boston, the ocean, and the mountains. We attract talent from all over the world and offer competitive salaries and benefits. Learn more at ************** Farm is seeking a highly collaborative and self-driven Staff Mechanical Engineer to join our talented and dynamic product development group to play a critical role in creating the next generation of advanced medical technologies. What a typical day looks like: Work on a diverse range of products, including connected home health wearables, advanced therapy systems, and surgical robotics. Collaborate with clients from early-stage startups to Fortune 100 medical device companies. Serve as the mechanical technical lead in a dynamic environment driving technical program direction, resource planning, and schedule definition. Partner with various teams, including industrial design, electrical, and software, to develop exceptional product designs from initial ideation through manufacturing. Conceptualize, design, prototype, and test innovative product architectures, mechanisms, and electro-mechanical designs. Deliver presentations to clients and internal teams to communicate design strategies, value, and recommendations. The experience we're looking to add to our team, Bachelors or Master's degree in Mechanical Engineering or similar. Requires 6 years of relevant experience Possess a highly collaborative team attitude with strong leadership skills in mechanical systems design, demonstrating drive and accountability. Proficient in SolidWorks and/or Creo for resolving mechanical designs and creating high-quality CAD databases, with preferred experience in CAD surfacing and engineering simulation software. Extensive knowledge of manufacturing processes, including plastic part design and metal fabrication, along with the ability to quickly assess and resolve diverse product challenges. Strong interpersonal and communication skills, with medical device experience preferred in areas such as electromechanical systems, mechatronics, and experimental design related to fluidic systems, robotics, and sensor integration. What you'll receive for the great work you provide: Full range of medical, dental, and vision plans Life Insurance Short-term and Long-term Disability Matching 401(k) Contributions Vacation and Paid Sick Time Tuition Reimbursement Job CategoryDesign, Process & Technology EngineeringRelocation: Eligible for domestic relocation only Is Sponsorship Available? NoFlex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).

Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. We are looking for a motivated, responsible, and self-directed Machine Learning Platform Engineer to maintain and enhance our cloud-scale ML platform. In this critical role, you will lead the integration of ML models with clinical workflows-particularly within Epic EHR systems-and implement best practices in ML Ops to ensure reliability, scalability, and reproducibility. While experience with ML Ops/DevOps practices is beneficial, direct machine learning experience is not required. We prioritize enthusiasm, ownership, and eagerness to learn. Principal Duties and Responsibilities: - Maintain and continuously develop our ML platform, ensuring reliable operation and scalability. - Integrate ML models seamlessly into clinical workflows, with a particular focus on integration within Epic EHR systems. - Implement and manage ML Ops best practices, including model deployment, monitoring, version control, and reproducibility. - Facilitate the deployment, scaling, and management of dockerized pipeline containers - Lead the development and improvement of user interfaces (ReactJS) - Expand the ML platform's capabilities, including support for Large Language Models (LLMs). - Perform SQL-based data queries for efficient ingestion, extraction, and preparation of datasets. - Generate and maintain high-quality datasets tailored to ML research and clinical studies. - Oversee quality assurance processes, documentation standards, and best practices for the ML platform infrastructure. Qualifications (1-4 years of experience): - Data engineering, ML Ops, clinical integration, software engineering, or related roles. - Clinical informatics systems, particularly Epic EHR integration. - Familiarity with healthcare data standards and interoperability (HL7, FHIR). - Proficiency in Python programming. - Experience with frontend/UI frameworks, especially ReactJS. - Strong experience in containerization and orchestration using Docker and Kubernetes. - Familiarity with cloud services and microservice architectures (AWS or GCP, specifically services such as SQS, S3). - Understanding of software best practices, including version control (Git), continuous integration/deployment, and quality assurance processes. - Excellent communication skills, attention to detail, and the ability to collaborate effectively in a multidisciplinary team. Job Summary Summary Responsible for implementing methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats and they develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling. Does this position require Patient Care? No Essential Functions -Design, develop, and implement data pipelines and ETL/ELT code to support business requirements. -Maintain and optimize various components of the data pipeline architecture. -Deliver high quality, efficient solutions to meet technical standards and industry best practices. -Deliver optimal technical solutions for business and operational requirements. -Participate in team design sessions and contribute options and solutions Produce and support product documentation. -Participate in ETL Quality circle discussions to explore, discuss, and arrive at efficient solutions and best practices. Qualifications Education Bachelor's Degree Computer Science required or Bachelor's Degree Related Field of Study required Can this role accept experience in lieu of a degree? Yes Licenses and Credentials Experience Data warehousing development in large reporting environment(s) 2-3 years required and Experience with developing data pipelines using on Snowflake features ( Snowpipe, SnowSQL, Snow Sight, Data Streams ) required and Hands-on development experience with ETL/ELT tools, such as dbt, Fivetran, or Informatica required and Experience working in Agile software development environment required Knowledge, Skills and Abilities - Working knowledge of cloud computing platforms such as AWS, GCP, or Azure. - Familiarity with enterprise data warehousing systems a plus. Additional Job Details (if applicable) Remote Type Hybrid Work Location 75 Francis Street Scheduled Weekly Hours 40 Employee Type Regular Work Shift Day (United States of America) Pay Range $73,798.40 - $107,400.80/Annual Grade 6 At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to your total compensation package. In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums and bonuses as applicable and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our Talent Acquisition team will provide an overview of your potential compensation and benefits package. EEO Statement: The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at **************. Mass General Brigham Competency Framework At Mass General Brigham, our competency framework defines what effective leadership “looks like” by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.

At Aurora Flight Sciences, we design, build, and fly advanced aircraft and enabling technologies from concept to reality. We are searching for a talented and self-motivated Autonomy & Robotics Engineer to help us create the future of flight. Responsibilities will include but not be limited to the following: Responsibilities * Develops, documents and maintains architectures, requirements, algorithms, interfaces and designs for hardware and software systems. * Develops system architecture, hardware and software designs and interface specifications. * Develops and maintains code and integrates hardware and software components into a fully functional hardware and software system. * Performs, integrates and documents system performance and test results to validate and verify systems and components meet requirements and specifications. * Performs live demonstrations of working systems (hardware and software) in laboratory and field environments for stakeholder and customers. Minimum Requirements * Bachelor's Degree typically acquired through advanced technical education from an accredited course of study in engineering, computer science, mathematics, physics or chemistry * Must be US Person * Strong teamwork and communication skills. Preferred Requirements * Typically 2 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Master). * Experience writing and winning proposals * Knowledge of aircraft conceptual design, aircraft dynamics and controls, aircraft procedures * Education in the robotics-related field or equivalent demonstrated experience proposing, executing, and communicating robotics research and development. * Design new autonomous systems including defining requirements, considering design options, selecting hardware, and designing software. * Design and implement software for data collection and decision making. * Demonstrate mastery of at least one of the following, and working knowledge or interest in a majority of the others: Robot manipulation, Actuator design, Real-time computation, Power electronics, Trajectory planning, Electromechanical system design, Machine vision, Rapid prototyping, Dynamic simulation, Math, Low-level motor control, Acceptance testing of physical robot hardware, Machine learning, Real-time control, Software engineering, Communication protocols, Embedded systems. Physical Requirements * Must be available to be on-site at Cambridge, MA or Manassas, VA office Salary Range (Annualized USD) * Minimum Range: $62,000.00 to $110,000.00 * Maximum Range: $75,000.00 to $134,000.00

Axcelis is seeking a Staff Mechanical Engineer to lead the design and development of highly mechanized and automated capital equipment for the semiconductor industry. Working closely with product and marketing managers, the engineer is responsible for developing innovative solutions to difficult engineering challenges facing ion implanters. Projects may include new product development, continuous improvement, part obsolescence, and field-identified issues. The engineer will champion sound engineering methods, analysis tools, DfX, and concurrent product development processes to deliver solutions right the first time. In addition to owning projects, the engineer will also guide less experienced engineers, knowing when to coach and when to delegate to elevate others on the team. Responsibilities * Develop new and innovative solutions for existing and future ion implanters. * Ensures adherence to the development process, including requirements planning, schedule estimates, concept reviews, design reviews, verification, and validation test plans. * Monitors progress of projects, confers with program and project engineers, and reviews reports to see that development is progressing according to schedule and within budgetary guidelines. Recommends corrective action as required. * Manages the mechanical engineering interface to the design services group and to offshore teams to deliver quality designs and on-time performance. * Communicates to customers and cross-functional groups the status of various development projects. Ensures that products and projects are delivered to meet customer requirements and specifications. * Holds mechanical engineers accountable to quality goals, schedules, development process, and system performance. The role requires close day-to-day interaction with both project managers and key customers to manage the complete mechanical engineering lifecycle for new and legacy products. Strong interpersonal skills are mandatory, together with a drive to succeed. * Ensures mechanical designs meet design objectives as well as safety, industry (SEMI), and customer specific requirements. * Executes design, qualification, and release of mechanical assemblies-experience with semiconductor capital equipment a plus. * Troubleshoot, find root cause, and recommend corrective actions to system-level problems that cross multiple engineering disciplines. Having some knowledge of controls and electrical systems would be helpful. Qualifications * Accomplished mechanical engineer capable of contributing to technical design. * Know how to roll up your sleeves and get the job done right. * Practical experience with the design, manufacture, and service of highly automated electromechanical systems. * Have an unrelenting drive for understanding the fundamental physics behind the most complicated parts of our system; refuse to take things at face value. * Must possess strong decision-making, analytical, and problem-solving skills. * Solid technical background to understand, communicate, and make decisions to improve the overall product and mechanical architecture. * Experience working with offshore teams is a benefit. * Capital equipment design experience is a plus. * Strong written and verbal skills. * Strong Project Management Skills are required. * Experience with a PLM system. Specific knowledge of the following is a plus: PTC/Windchill. * 3D modeling and FEA analysis skills. Specific knowledge of the following is a plus: PTC/Creo, Ansys. * BSME (MSME preferred) * 10+ years of experience in Mechanical Engineering EQUAL OPPORTUNITY STATEMENT It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company. U.S. BASE SALARY RANGE $145,398.88 - $218,098.32 This base salary range reflects the typical compensation for this role across U.S. locations. Our salary ranges are determined by role and level; individual pay is determined based on multiple factors, including job-related skills, experience, relevant education or training, work location, and internal equity. The range provides the opportunity for growth and progression as you develop within the role. Base pay is one part of our U.S. total compensation package which includes eligibility in the Axcelis Team Incentive bonus plan, and comprehensive benefits package (for regular employees working 20+ hours a week).

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build which include destinations like Home and Search as well as original playlists such as Made For You, Discover Weekly and Daily Mix. The Context team's mission is to own and innovate on contextual story telling to enhance the listening experience. Using a mixture of human written content and LLMs, we strive to provide depth and connection for all listeners. We are looking for a Machine Learning Engineer to join our team to build and improve our storytelling capabilities.What You'll Do Design, build, evaluate, and ship LLM based solutions that tell stories about our content and our users Collaborate with cross functional teams 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 useful ways Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization Be part of an active group of machine learning practitioners Who You Are An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment - Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS 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 have a work location. This team operates within the Eastern Standard time zone for collaboration. The United States base range for this position is $138,250- $197,500 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.

Job Overview:At Keurig Dr Pepper (KDP), we're expanding the frontiers of data science, engineering, and applied AI to transform how we understand consumers, optimize our business, and power the future of coffee. Our data professionals thrive in a large-scale, fast-paced organization that operates with the energy of a startup-building real-time data products, pipelines, and intelligent systems that drive immediate business value. As a Machine Learning Engineer within our Data & Decision Science team, you'll combine technical rigor with business understanding-helping commercial, eCommerce, and personalization teams unlock insights from data. You'll leverage your experience in Python, SQL, and modern AI/ML infrastructure to automate processes, deploy learning systems, and make data more actionable across KDP's growing ecosystem. What You'll Do Independently run projects from conception to completion and manage stakeholder relationships and hit appropriate deadlines and communications Engineer scalable data solutions: Design and optimize ETL and CI/CD workflows across Snowflake, Azure VMs, and other data platforms to enable high-velocity model development and deployment. Operationalize intelligence: Partner with data scientists to productionize LTV and personalization models using agentic AI frameworks and automated training pipelines. Automate for impact: Build scripts, services, and workflows that eliminate manual processes-enabling data and ML products to self-heal, self-update, and evolve with new data. Solve complex problems creatively: Apply your experience in web scraping, data enrichment, and real-time ingestion to source and unify disparate datasets for modeling and decision support. Collaborate across commercialization and eCommerce: Understand the challenges of scaling ML in consumer commerce-supporting smarter pricing, personalization, and marketing optimization. Advance our AI ecosystem: Contribute to MLOps best practices, observability frameworks, and continuous experimentation in Python, SQL, and Azure ML environments. 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. Total Rewards:Salary Range: $96,800 - $130,000Actual placement within the compensation range may vary depending on experience, skills, and other factors Benefits, subject to election and eligibility: Medical, Dental, Vision, Disability, Paid Time Off (including paid parental leave, vacation, and sick time), 401k with company match, Tuition Reimbursement, and Mileage ReimbursementAnnual bonus based on performance and eligibility Requirements:You have 5+ years of experience in data engineering, ML engineering, or applied data science. You're fluent in Python and SQL, and have experience working with Snowflake, Azure, or other modern data stacks. You have hands-on experience with automation, scripting, and problem-solving at scale-from process optimization to model deployment. You're comfortable designing solutions in undefined environments and thrive on turning ambiguity into structure. You hold a Master's degree in a quantitative field and are passionate about continuous learning. You stay current on agentic AI, generative modeling, and emerging automation frameworks-and enjoy bringing new ideas to life. You are skilled in consolidating data sources into robust pipelines Combine: You understand commercialization and eCommerce systems, and how data drives product, pricing, and consumer experience decisions. Familiarity with CPG industry dynamics and business operations Company Overview:Keurig Dr Pepper (NASDAQ: KDP) is a leading beverage company in North America, with a portfolio of more than 125 owned, licensed and partner brands and powerful distribution capabilities to provide a beverage for every need, anytime, anywhere. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it!Together, we have built a leading beverage company in North America offering hot and cold beverages together at scale. Whatever your area of expertise, at KDP you can be a part of a team that's proud of its brands, partnerships, innovation, and growth. Will you join us?We strive to be an employer of choice, providing a culture and opportunities that empower our team of ~29,000 employees to grow and develop. We offer robust benefits to support your health and wellness as well as your personal and financial well-being. We also provide employee programs designed to enhance your professional growth and development, while ensuring you feel valued, inspired and appreciated at work. Keurig Dr Pepper is an equal opportunity employer and recruits qualified applicants and advances in employment its employees without regard to race, color, religion, gender, sexual orientation, gender identity, gender expression, age, disability or association with a person with a disability, medical condition, genetic information, ethnic or national origin, marital status, veteran status, or any other status protected by law. A. I. Disclosure: KDP uses artificial intelligence to assist with initial resume screening and candidate matching. This technology helps us efficiently identify candidates whose qualifications align with our open roles. If you prefer not to have your application processed using artificial intelligence, you may opt out by emailing your resume and qualifications directly to kdpjobs@kdrp. com in lieu of clicking Apply. Please include the job title and location or Job ID # in the email subject line.

Job Description Join us in shaping the future of autonomous driving. As part of the Behaviors team, you will work alongside world-class ML engineers and research scientists to help make self-driving vehicles a safe, reliable, and transformative reality. Our team builds the intelligence responsible for understanding complex driving environments and generating safe and comfortable trajectories for our robotaxi fleet using cutting-edge deep learning and planning systems. We welcome fresh graduates who are passionate about robotics, machine learning, and autonomous systems - and eager to grow in a fast-moving, high-impact team. This opportunity can support remote work within the United States, with occasional travel. What You'll Be Doing: You will be directly responsible for training, evaluation, and deployment of our ML-based scene understanding, behavior prediction, and planning models. Day-to-day responsibilities include: 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. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit **************** 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.

About this role: Pickle is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on pushing the boundaries of what is possible in robotic perception. You will use Foundation Models, Vision-Language Models (VLMs), and Generative AI to solve the "long-tail" of rare events in the supply chain. You will be bridging the gap between cutting-edge academic research and reliable, real-world robotic deployment. Responsibilities: * Tame the Long Tail: You will develop strategies to detect and handle "rare events" (novel packaging, damaged goods, occlusion) that break traditional detectors. * Leverage Foundation Models: You will adapt and fine-tune large-scale foundation models for specific robotic manipulation tasks, toward zero-shot generalization capabilities. * Model Optimization: You will take massive, compute-heavy models and distill them into efficient, lightweight networks that can run with low latency on edge compute (NVIDIA Orin). * Drive Technical Excellence: As a senior member of the team, you will stay ahead of the curve on CV/ML research, translate relevant breakthroughs into production-grade gestures and mentor junior engineers. Skills: * 5+ Years of Experience in Computer Vision and Deep Learning, with a specific focus on applied research or advanced R&D. * You have hands-on experience with modern architectures: Transformers (ViT), Self-Supervised Learning (SSL), Vision-Language Models (VLMs), or Zero-Shot detection. * Expert-level Python and PyTorch skills. * You are focused on the "hard" problems (occlusions, reflective surfaces, and variable lighting), and you know when to use a large model versus a simple heuristic. * Experience with Model Distillation (Student-Teacher networks) and Quantization. * You can demystify complex AI research and articulate performance implications to engineering and product stakeholders. * Familiarity with Docker, AWS/GCP (S3, EC2) and experiment tracking tools. $140,000 - $175,000 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Company:Tutor Intelligence is a startup building the technology and processes to let robots go where they've never gone before: the average American factory. We understand that general-purpose and generally-intelligent robots are going to be built in our lifetimes , and we're combining human and artificial intelligence to lead the charge. As an AI software company who deploys its inventions directly into the facilities that need them, on state-of-the-art hardware, every line of code written at Tutor has a direct impact on the global, physical economy. We're seeking the thinkers, builders, and researchers who can help us responsibly deliver the future of automation.The Role:In this role you will close the loop between human instruction and robot automation. Models you create will be deployed to robots out in the field, in a tight feedback loop controlled by you. You will create and improve deep learning models such as CNNs, build a cloud-based data and model training platform, and find ways to help our robots optimize for speed and accuracy.For this role, we seek a pragmatic and competent engineer with domain expertise in computer vision and robotics, and a drive to proliferate robotic technologies.At Tutor, engineering is inherently cross-disciplinary and collaborative. We seek someone with a diverse background across the robotics stack, including anything from full stack web-dev to mechanical engineering.Our Culture:We believe that something truly special can happen when talented, motivated people work together; at Tutor, every member of our team is empowered to have real impact in everything that they do. We work collaboratively on just about everything we do - nobody has the full story, but we are all trying to, and need to work together to maximize our robots performance.Responsibilities: Train, fine tune, and deploy visual and language foundation models across our stack Manage data in databases and optimize the flow of information from our robots to maximize machine learning potential Skills Needed Knowledge of machine learning models, particularly visual models with an emphasis on recent advanced models such as SAM, DINO, etc. Strong software skills Full stack knowledge, ability to not only work on machine learning models in python but also to spin up inference infrastructure, web ui, and perform database operations General robotics knowledge & experience

Job Description The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - ai Match, for data reconciliation, ai Cast, for prediction, and ai Plan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale. With a combination of enterprise expertise and deep research in the field of AI, Ikigai Labs helps scale enterprises with AI by solving data engineering and modeling problems for business users and data scientists alike. Our unique ability to unlock value in tabular and time series data through AI-powered data harmonization, forecasting, dynamic learning and planning, is our Ikigai, our purpose in the world of AI. As an AI/ML Engineer at Ikigai Labs, you will be part of a high-performing team responsible for optimizing and deploying ML solutions to maximize performance and scalability. We seek a dynamic and passionate engineer with strong software fundamentals and a keen interest in collaborative problem-solving. Key Responsibilities: ML Optimization and Deployment: Develop and deploy machine learning models for optimal performance and scalability. Productivity Tools Development: Build tools and services to enhance the ML platform, utilizing technologies like Kubernetes, Helm, and EKS. Model Architecture: Apply a strong understanding of deep learning architectures (CNNs, RNNs, etc.) to solve complex problems. Research Adaptation: Stay abreast of recent ML and deep learning literature and adapt findings to real-world applications. Collaborative Development: Work with cross-functional teams to integrate AI and ML solutions that drive business value. Data Handling: Manage large datasets and build ML pipelines for data processing and training. ETL/ELT Processes: Design and develop scalable data integration processes. Predictive Modeling Platform: Develop an on-demand predictive modeling platform using gRPC. Cloud and Containerization: Utilize Kubernetes for managing Docker containers and various cloud services (AWS, Azure) to solve cloud-native challenges. Stakeholder Management: Provide occasional support to our customer success team. Technologies We Use: Languages: Python3, C++, Rust, SQL Frameworks: PyTorch, TensorFlow, Docker Databases: Postgres, Elasticsearch, DynamoDB, RDS Cloud: Kubernetes, Helm, EKS, Terraform, AWS Data Engineering: Apache Arrow, Dremio, Ray Miscellaneous: Git, Jupyterhub, Apache Superset, Plotly Dash Qualifications: Bachelor's degree in Computer Science, Math, Engineering, or related field (Master's preferred) with 0-5+ years of experience (depending on the level) Strong understanding of data structures, data modeling, algorithms, and software architecture. Proficient in probability, statistics, and algorithm development. Hands-on experience with ML and deep learning libraries (Scikit Learn, Keras, TensorFlow, PyTorch, Theano, DyLib). (Bonus) Experience with big data and distributed computing (Hadoop, MapReduce, Spark, Storm). Proficiency in Python, AWS services, and ETL/ELT pipelines. Understanding of key software design principles, design patterns, and testing best practices. Experience with Kubernetes and/or EKS is a plus. Ability to learn quickly in a fast-paced, agile environment. Excellent organizational, time management, and communication skills. Willingness to engage in pair programming, share knowledge, and provide and receive constructive feedback. Strong problem-solving skills and the ability to take initiative. Location Requirement: Candidates must reside in or near Cambridge, MA or San Mateo, CA. This role is not open to other locations at this time. Equal Opportunity Employment: Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants. We value diversity and are dedicated to fostering an inclusive environment for all employees, regardless of race, color, sex, gender identity or expression, age, religion, national origin, ancestry, citizenship, disability, military or veteran status, genetic information, sexual orientation, marital status, or any other characteristic protected under applicable law. If you are passionate about machine learning and eager to make an impact, we would love to hear from you. Apply today to join the Ikigai Labs team and help us build the future of AI. Powered by JazzHR PIleYeWvCd