Machine Learning Analyst Bracebridge CapitalMachine Learning AnalystBoston, MA$110,000–$145,000 / yearCollaborate closely with Machine Learning team members, portfolio managers, and researchers to translate open-ended investment questions into well-defined analytical and machine learning problems. The team works across the project lifecycle and technical stack, from ideation, understanding and analyzing data, hypothesis generation and testing, and model development all the way through to the deployment and maintenance of models and systems in production.
Senior Machine Learning Engineer VideaSenior Machine Learning EngineerBoston, MassachusettsVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Senior Machine Learning Operations Engineer Car GurusSenior Machine Learning Operations EngineerBoston, MA$144,000–$181,000 / yearYou will partner closely with data scientists to deploy machine learning models to production and to build and maintain the APIs and data pipelines that integrate predictive intelligence into CarGurus' products. Thoughtful perks like daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more help our people create space for what matters most in their personal and professional lives.
Machine Learning Senior Software Engineer Akamai Technologies, Inc.Machine Learning Senior Software EngineerBoston, MA$121,400–$218,600 / yearAs a Machine Learning Senior Software Engineer, you will be responsible for: + Developing and maintaining model validation and security scanning pipelines that assess models for quality, correctness, and vulnerabilities prior to deployment. For US based candidates only - the base salary for this position ranges from $121,400 - $218,600/year; a candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location.
Machine Learning Architect Ayo SemiconductorMachine Learning ArchitectBoston, MassachusettsExcitement about applying deep AI expertise to new and novel hardware environments - you don’t need prior experience with photonics or silicon, but you want to learn. Maintain a deep curiosity about what makes machine learning systems work - and bring that curiosity to bear on how they run on new hardware.
Machine Learning Scientist (Financial Scoring) LendbuzzMachine Learning Scientist (Financial Scoring)Boston, MAA Note on Recruiting Outreach We’ve been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @ lendbuzzcareers.com ). The ideal candidate will possess a strong background in software development, excellent data analysis and communication skills, and a deep understanding of machine learning and statistics.
Senior Software Engineer – Robotics, Machine Learning & Picking Intelligence RightHand RoboticsSenior Software Engineer – Robotics, Machine Learning & Picking IntelligenceCharlestown, MA$120,000–$175,000We are looking for a senior robotics engineer with strong applied machine learning experience to help own and evolve the intelligence behind robotic picking in production. If you're excited by solving hard real-world robotics problems, working hands-on with robots, and seeing your work deployed quickly, this role is for you.
Robotics Machine Learning Engineer Tutor IntelligenceRobotics Machine Learning EngineerWatertown, MA$90,000–$190,000 / yearYou 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. 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.
Senior Machine Learning Engineer, Core Algorithms WhoopSenior Machine Learning Engineer, Core AlgorithmsBoston, MassachusettsAt WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations).
Senior or Principal Data Scientist/Machine Learning Scientist Datalign Advisory Inc.Senior or Principal Data Scientist/Machine Learning ScientistCambridge, MAAs Data Scientist/Machine Learning Scientist, you will shape the future of how consumers connect with vetted financial advisory firms through our proprietary three-sided marketplace, leveraging data and AI-powered analytics to create meaningful one-to-one matches and improved financial outcomes. Position Overview We are seeking a Senior or Principal Data Scientist/Machine Learning Scientist to lead product-focused artificial intelligence initiatives and facilitate strategic decision-making through advanced analytics and machine learning.
Group 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026 MIT Lincoln LaboratoryGroup 2-24 | Co-Op | Biomedical & Physiological Signal Processing & Machine Learning | Jun-Dec 2026Lexington, MA$24.50–$31 / hourconsisting of engineers, scientists, and clinicians to prepare and process large biomedical and physiological datasets (e.g.,PPG, accelerometry, EOG, EEG, commercial-off-the-shelf wearable data, etc), develop and evaluate machine learning algorithms, and implement data visualization tools for advanced prediction and inference of physiological status (i.e. fatigue, illness, stress, etc). Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.
Associate Director, Machine Learning (Core Algorithms) WhoopAssociate Director, Machine Learning (Core Algorithms)Boston, MA$200,000–$245,000 / yearWe are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence - the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences.
NewMachine Learning Scientist Cartesian SystemsMachine Learning ScientistCambridge, MAOur platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. You'll have a direct impact on key positioning algorithms & models, take ownership of new features, and help shape the technical roadmap of a category-defining product.
Senior Machine Learning Engineer ASUSTeK ComputerSenior Machine Learning EngineerBoston, MA$161,000–$246,000 / yearWe are looking for a seasoned engineer who brings deep technical expertise, sound engineering judgment, and a proven track record of delivering production ML systems in complex, real-world environments. Our multidisciplinary team of the brightest engineers and scientists is dedicated to creating software-focused solutions that will solve some of the most enduring challenges in the fields of robotics and artificial intelligence.
Senior Research Scientist, Machine Learning Analog DevicesSenior Research Scientist, Machine LearningBoston, MassachusettsMust also possess the following (quantitative experience requirements not applicable to this section): Demonstrated Expertise ("DE") in machine learning ("ML") algorithm development and deployment of end-to-end ML pipelines using at least one of the following frameworks: Tensorflow, Keras, Pytorch, Caffe, or Jax; DE developing and applying neural networks, deep learning, transformers, and Large Language ML models; and. Requirements: Must have a Master’s degree in Computer and Information Technology, Computer Science, Computer Engg, Electrical Engg, or closely related technical discipline (willing to accept foreign education equivalent) and two (2) years of experience in the job proffered or related occupation conducting machine learning (ML) research and development in Energy, Security, Communication, or Healthcare.
Senior Manager, Machine Learning, SaMD WhoopSenior Manager, Machine Learning, SaMDBoston, Massachusetts$170,000–$230,000 / yearSuccess in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar.
Senior Manager, Machine Learning, Samd WhoopSenior Manager, Machine Learning, SamdBoston, MA$170,000–$230,000 / yearSuccess in this role requires a profile with both ML and SaMD depth to evaluate your team's most important decisions, plus the people leadership skill to grow ICs, drive cross-functional alignment, and deliver with both pace and rigor in a regulated environment. You will set direction for your teams, develop the next generation of leaders within the function, and partner deeply across regulatory, quality, clinical science, product, software, and firmware to deliver health products that meet a clinical-grade bar.
Senior Machine Learning Engineer VideaHealthSenior Machine Learning EngineerBoston, MAVidea is supported by some of the best investors in the world, having raised over $67M in Venture Capital from Tier 1 investors such as Spark Capital (Twitter, SnapChat, SmileDirectClub), Zetta Venture (Kaggle), and Pillar VC (PillPack), as well as angel investors such as Frederic Kerrest (Co-founder of Okta). Deep, demonstrable expertise in at least one area of ML engineering, such as predictive and tabular modeling, multimodal systems, training and inference infrastructure, or model evaluation and reliability, along with the breadth to contribute across the stack.
Translational Scientist, Applied Machine Learning And Agentic AI, Pharma R&D TempusTranslational Scientist, Applied Machine Learning And Agentic AI, Pharma R&DBoston, MA$100,000–$150,000 / yearYou will apply advanced scientific methodologies to develop new predictive models and utilize causal inference frameworks to analyze vast multimodal oncology data, helping to scale scientific discovery from a manual process to a high-throughput, automated engine. The Translational Scientist, Applied Machine Learning and Agentic AI will contribute to the technical development of cutting-edge agentic frameworks designed to automate the discovery of novel prognostic and predictive models in oncology.
Senior Machine Learning Engineer, AI Platform WhoopSenior Machine Learning Engineer, AI PlatformBoston, MA$150,000–$210,000 / yearProven track record building, shipping, and operating ML-powered systems end to end, from data pipelines (batch and/or streaming) that transform large datasets into usable training and evaluation sets to production deployments with inference optimization, observability, and lifecycle management. Operationalize fine-tuning and evaluation workflows for large language models behind member-facing features such as WHOOP Coach and AI Support, including defining datasets, labels, and taxonomies that reflect real member needs.