Machine Learning Engineer Co-op

About PathAI PathAI is dedicated to enhancing patient outcomes through advanced AI-driven pathology. Our innovative platform aims to significantly improve diagnostic accuracy and treatment effectiveness for diseases such as cancer by utilizing cutting-edge machine learning and artificial intelligence techniques. Our proven history in deploying AI algorithms for histopathology spans translational research, pathology labs, and clinical trials. A commitment to rigorous scientific analysis and meticulous evaluation is at the core of our operations. Our diverse team is passionate about tackling challenging problems and making a substantial difference in patient care. Your Role at PathAI As a Machine Learning Intern/Co-op, you will gain invaluable insights into the life of a Machine Learning Engineer at PathAI. This opportunity places you directly within our AI product and ML Core teams, where you will engage in ongoing projects that align with our technical roadmap and business objectives. Collaborate with a multidisciplinary group of scientists, engineers, and product managers to translate clinical needs into scalable machine learning solutions. This is your chance to contribute to impactful work that enhances patient outcomes. Timeline: This internship/co-op is available for Spring and Summer 2026. We seek candidates who can commit to 3-6 months, with a preference for 4-6 months. Location: While we prefer candidates who can work onsite in our Boston, MA or New York, NY offices, we are also open to considering remote candidates based in the United States.

Alfred Benesch & Company offers a Structural Engineering Co-op position in Boston, MA for 2026. This role sits within a multi-disciplinary planning and engineering firm focused on improving infrastructure and communities across the country. Role overview This co-op provides hands-on experience in structural engineering as part of a team that values innovation and collaboration. Benesch combines the flexibility of a responsive organization with the resources of a larger firm, giving co-op students exposure to a wide range of projects and professional development opportunities. What you will do Work alongside experienced engineers on real-world infrastructure projects Apply classroom knowledge to practical challenges in structural engineering Contribute to a team environment that values diverse backgrounds and perspectives Who should apply Benesch welcomes applicants from all backgrounds, including those who may not meet every listed qualification. The company is committed to building an inclusive workplace where every team member is respected and valued. Early career focus This co-op is designed for students and early career professionals looking to gain meaningful experience in structural engineering. Benesch supports growth from the ground up and encourages candidates interested in building their skills with a collaborative team.

Join the innovative team at Piaggio Fast Forward Inc. (PFF), a Boston-based company founded in 2015 by the renowned Piaggio Group, the creators of the iconic Vespa scooter. Our mission is to revolutionize urban mobility by developing cutting-edge technology products that enhance the way people move. At PFF, we are dedicated to solving the challenges of robotic interaction within dynamically evolving environments. We pride ourselves on our commitment to sustainable mobility, fostering healthy lifestyles, and ensuring social connectivity for everyone, regardless of age or ability.Your Role:Engage actively in the development of vision-based robotic systems.Write robotics software and create navigation and machine learning algorithms.Design and assess AI technologies applicable to mobile robotics.Develop tools for data collection from robots for analysis and training of machine learning models.Document and test your code while adhering to company standards.

Join Veolia Environnement S.A. as an Assistant Project Engineer Co-Op in Boston! This exciting opportunity is perfect for students or recent graduates looking to gain hands-on experience in project engineering within a leading environmental services company.

Join Toast, Inc. as a Co-op in Inclusion and Social Impact Strategy where you will have the opportunity to contribute to our mission of creating a more inclusive environment. You will engage in various projects that strive to enhance our social impact initiatives, working closely with cross-functional teams to analyze, strategize, and implement actionable plans.

Join Field AI, a pioneering company revolutionizing robot interactions with the real world. We’re developing cutting-edge, risk-aware AI systems that solve the most intricate challenges in robotics, harnessing the full potential of embodied intelligence. Our innovative solutions have been globally deployed, yielding tangible results and continuously enhancing models through real-world applications.Our Hardware Team is at the forefront of designing and integrating perception and computational payloads that empower autonomous robotics systems to navigate complex environments. We handle the entire hardware stack, including sensing systems (LiDAR, cameras, TOF, IMU, GPS), embedded computing (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). Focused on both development (research, design, prototyping, testing) and operations (production, QA, debugging), our agile team is dedicated to enhancing core capabilities, reliability, and scalability as we build operational systems and procedures from the ground up.As a Mechanical Engineer Co-op with our Hardware Team, you will play a vital role in designing and implementing mechanical systems that protect and support our sensing and computing platforms in real-world settings. Your contributions will range from creating ruggedized enclosures to addressing thermal management and manufacturability challenges, ensuring our systems function reliably in the field. Your responsibilities will encompass the entire lifecycle from CAD design to production and field support, collaborating closely with electrical, computing, and systems engineers to deliver tightly integrated solutions for deployment in demanding environments. While your primary focus will be on mechanical systems, you will also have opportunities to contribute across various hardware domains.

Veolia Environnement S.A. seeks a Project Management Office Co-Op based in Boston. This internship centers on supporting the administrative functions that keep project management activities organized and efficient. The role works closely with the project management team, providing hands-on exposure to the coordination and operations behind successful projects. Key responsibilities Handle routine administrative tasks that support the project management office Work with team members to coordinate ongoing projects Help identify ways to streamline and improve office processes Location Boston, MA

Join the Innovative Team at SunoAt Suno, we are not just a music company; we are a creative powerhouse dedicated to igniting imagination through the magic of sound. Harnessing the capabilities of the world’s most advanced AI music model, we provide an exceptional creative platform, including our groundbreaking generative audio workstation, Suno Studio. We believe in empowering everyone—from shower singers to seasoned artists—to create, share, and discover music, making musical expression accessible to all.Role OverviewWe are seeking passionate early members of our research team to collaborate closely with our founding members. You will play a pivotal role in shaping the future of our machine learning initiatives by making critical technical decisions on the development and deployment of our cutting-edge ML models, boasting an H100/scientist ratio exceeding 100x.Explore the Suno job posting here!

Role Overview nory-co is hiring a Director of Expansion and Summer Camp Operations in Boston, focused on STEM enrichment. This leadership role centers on developing and rolling out programs that spark curiosity and learning in science, technology, engineering, and mathematics for young students. What You Will Do Shape and execute strategies to expand summer camp offerings across Boston. Design and implement engaging STEM curricula that inspire campers. Lead and support a team dedicated to delivering high-quality camp experiences. Work closely with local schools and community organizations to broaden outreach and strengthen partnerships. Champion operational efficiency and uphold high standards for program delivery. About the Team This position sits on the leadership team at nory-co. The Director will play a key role in shaping the direction and impact of STEM programming in the region.

The Division of Research and Faculty Development at Harvard University seeks a full-time Predoctoral Research Associate in Economics for Summer 2026. This position is based in Boston. Role overview This role centers on supporting economic research projects led by Harvard faculty. The position provides early-career researchers with practical experience in academic research settings. What you will do Assist with ongoing economics research initiatives Work closely with faculty on data collection, analysis, and project management Who this role is for This opportunity is designed for those interested in building research skills and gaining exposure to academic economics. It is well suited to individuals considering future graduate study or research careers.

We are seeking an innovative and results-driven Manager of Algorithms and Machine Learning to join our dynamic team at Beacon Biosignals. In this role, you will lead a team of talented engineers and data scientists, driving the development of cutting-edge algorithms and machine learning solutions that enhance our healthcare technologies.Your expertise will contribute significantly to our mission of leveraging advanced analytics to improve patient outcomes. You will collaborate with cross-functional teams to translate complex data sets into actionable insights, ensuring our algorithms are robust, scalable, and effective in real-world applications.

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.Your Role:As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

Join the H2 Event Group as an Executive Driver for a prestigious major sporting event in Boston, Massachusetts this summer. We are looking for dedicated and experienced drivers to provide exceptional transportation services for our VIP clients to and from designated locations associated with this significant occasion. *Priority will be given to candidates residing in Boston and its neighboring areas.

About Air Space IntelligenceAt Air Space Intelligence (ASI), we are at the forefront of mission-critical technology that transforms decision-making across the aviation, defense, energy, and critical infrastructure sectors. Supported by leading investors such as Andreessen Horowitz, Spark Capital, and Renegade Partners, ASI empowers organizations to achieve operational decision superiority—reducing days of analysis into mere seconds of actionable insights. Join us as we redefine the limits of possibility.Your Role:As a vital member of our engineering team, you will be responsible for designing and deploying robust production-grade systems that seamlessly integrate machine learning models into scalable software pipelines. You will develop and implement features that utilize machine learning to address real-world optimization and prediction challenges, leveraging cutting-edge technologies such as Kubernetes, AWS, and MLOps tools. Your approach will reflect a software engineer's mindset—focusing on reliability, maintainability, and high performance at scale.Our Core Values:Expertise in Python, along with experience in production machine learning tools and frameworks like TensorFlow, PyTorch, and scikit-learn.Hands-on experience with large language models (LLMs) in production settings, encompassing prompt engineering, fine-tuning, retrieval-augmented generation (RAG) systems, and frameworks such as LangChain.Deep understanding of data structures, algorithms, and software engineering principles.Familiarity with classical machine learning, deep learning with an emphasis on transformer architectures, and MLOps methodologies.Experience in building and maintaining scalable, reliable machine learning systems with comprehensive data pipelines, including proficiency with Apache Beam, MLflow, and similar tools.Dedication to high-quality machine learning engineering practices, including data versioning, experiment tracking, model governance, and automated testing pipelines.A preference for simplicity and clarity when tackling complex challenges.An inquisitive mind and eagerness to collaborate with others.Strong communication skills and the ability to work effectively across cross-functional teams.Our Hiring Philosophy:We view the interview process not merely as a screening test but as an opportunity to simulate what it will be like to work together. Our hiring process is tailored around you.

LOCATION: This position can be based anywhere in Canada, with a preference for candidates in the eastern or central time zones to collaborate effectively with our teams in the US, Europe, and India.ABOUT THE ROLEWiser Solutions is on the lookout for a Principal Machine Learning Engineer to steer and implement our AI and data science initiatives. This senior technical leadership role requires a unique individual who possesses extensive knowledge in machine learning, data science, and production engineering, coupled with the business insight needed to transform intricate capabilities into tangible customer value.In this role, you will serve as the leading technical authority on AI at Wiser. Your responsibilities will include defining the architectural vision, showcasing our capabilities to clients and partners, and delivering production systems that yield measurable business results. This position demands an individual who can seamlessly navigate between strategic planning and hands-on execution, capable of engaging with executives one day and troubleshooting production pipelines the next.We are fostering an AI-driven engineering culture at Wiser, where AI tools and methodologies are integrated into our workflows—not just our products. We seek a Principal AI Engineer who not only develops AI solutions but also exemplifies AI-enhanced working practices and aids the broader engineering team in their adoption. If you’re passionate about the transformative power of AI in software development and actively embrace this shift in your daily work, we want to hear from you.Key ResponsibilitiesStrategic LeadershipCollaborate with product and business leadership to define and refine Wiser's technical AI and data science strategy.Communicate Wiser's AI capabilities to clients, partners, and advisors, outlining our approach, roadmap, and unique value proposition.Spot high-impact opportunities where AI can effectively address client challenges or provide competitive advantages.Set technical standards, patterns, and best practices that guide engineering decisions across the organization.Technical ExecutionDesign and develop production AI systems, including applications for LLM, RAG pipelines, semantic search, and traditional ML models.Create rigorous evaluation frameworks, experimentation methodologies, and monitoring systems that ensure AI solutions deliver reliable, measurable outcomes.Integrate classical data science techniques (statistical modeling, experimentation design, feature engineering) with modern generative AI methods.Oversee the technical quality of AI systems end-to-end, from data pipelines and model deployment to production observability.Cross-Functional CollaborationWork alongside product management to translate business needs into technical solutions and validate them against customer expectations.Guide and uplift the AI/data science team (3-5 engineers), enhancing the technical proficiency across the board.

Join our innovative team at Flagship Pioneering Inc. as a (Senior) Machine Learning Engineer, where you'll be at the forefront of developing cutting-edge artificial intelligence solutions. In this role, you will leverage your expertise in machine learning algorithms and data analysis to drive impactful results across various projects. Collaborate with a diverse team of scientists and engineers to create scalable models that can be implemented in real-world applications.

Join our innovative team at hike-medical as a Senior Machine Learning Engineer. In this pivotal role, you will harness state-of-the-art machine learning techniques to develop cutting-edge healthcare solutions. Your expertise will drive the design and implementation of robust algorithms, enhancing the efficiency and accuracy of our medical technologies.

Klaviyo is looking for an Engineering Manager to guide the Machine Learning Platform team in Boston, MA. This position leads a group of engineers focused on building and improving machine learning solutions that support Klaviyo’s products. Role overview The Engineering Manager will oversee the development and enhancement of the machine learning platform. This includes working closely with cross-functional partners to ensure the platform remains scalable and high-performing as it evolves. What you will do Lead and mentor a team of engineers working on machine learning initiatives Collaborate with other teams to deliver impactful projects Drive improvements in platform scalability and performance Help shape the direction of Klaviyo’s machine learning capabilities Requirements Experience managing engineering teams Background in machine learning platforms or related technologies Strong collaboration skills with cross-functional groups

Join Zoox as a Senior Data Scientist specializing in Machine Learning for Perception. In this pivotal role, you will leverage your expertise to develop advanced machine learning algorithms that enhance perception systems. Your contributions will directly impact the design and functionality of autonomous vehicles, driving innovation in the field.