Machine Learning Engineer Co-op

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 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.

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.

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 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.

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.

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.

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

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

WHOOP, a leading innovator in health and fitness wearables, is dedicated to enhancing human performance and extending healthspan. We empower our members by providing profound insights into their physical condition and daily habits. As part of our Health team, you will contribute to developing cutting-edge algorithms and features that enhance our health offerings. This role involves pioneering work in various domains including women’s health, medical-grade metrics, wellness monitoring, and longevity research, merging continuous physiological data with clinical research to create impactful health solutions. As a Senior Machine Learning Engineer, you will design, construct, and implement ML systems that deliver personalized health metrics to millions. Your expertise will bridge data science, backend engineering, and cloud infrastructure, focusing on robust, scalable ML solutions derived from physiological and behavioral data. Strong coding, system design skills, and the ability to produce production-ready ML services are essential for success in this position.

At WHOOP, we are revolutionizing health and fitness with our state-of-the-art wearable technology, dedicated to enhancing human performance and extending healthspan. Our innovative approach enables members to gain profound insights into their bodies, behaviors, and daily activities, empowering them to make healthier choices and achieve peak performance.We are on the lookout for a Senior Machine Learning Engineer to join our dynamic Foundation AI team. This team is responsible for developing the multimodal foundation models that drive WHOOP’s next generation of intelligent, personalized, and health-optimizing solutions. These models seamlessly integrate data from wearable sensors, linguistic inputs, biomarkers, clinical data, and self-reported metrics to build scalable AI systems that accurately understand human physiology and behavior.In this pivotal role, you will be a key individual contributor leading the research, development, and implementation of large-scale multimodal models. You will work collaboratively with data scientists, ML engineers, and cross-functional partners to advance the frontiers of deep learning and ensure that our models provide significant value to WHOOP members.

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.

Join our innovative Perception team at Zoox, where we harness the power of cutting-edge sensor data to decode the intricacies of dynamic driving environments. In this pivotal role, you will leverage world-class sensor data and a robust infrastructure to test and validate groundbreaking algorithms. Your contributions will be instrumental in developing advanced algorithms for segmentation, tracking, classification, and high-level scene understanding, allowing you to engage with any or all of these exciting components.As a Senior Staff Machine Learning Engineer, you will spearhead the creation of machine learning algorithms that significantly influence both onboard and offboard autonomy and validation processes. You will work collaboratively with specialized teams in Prediction, Planning, Simulation, and Safety Validation, shaping our overarching technical framework. Your innovative approach will bridge team boundaries, enabling the prototyping of new methodologies that guide the long-term technical vision across multiple divisions within the organization. The impact of your work will range from achieving immediate company objectives to leading pioneering exploratory initiatives.

Join the innovative Offline Driving Intelligence (ODIN) team at Zoox, where we harness cutting-edge AI technologies to develop algorithms that enhance our understanding of the world around us. Our focus is on utilizing large models primarily in offline environments to create impactful solutions for our self-driving robot, facilitating safe and efficient navigation through complex settings.As a vital member of the ODIN team, you will be tasked with the development of advanced multimodal large language models that significantly improve environmental comprehension. Your role will involve fine-tuning these models for off-vehicle analysis, collaborating closely with the onboard engineering team to implement solutions that enable our robotaxi platform to swiftly identify hazards and interpret driving restrictions with minimal latency. Working alongside a team of esteemed engineers and researchers, you will leverage high-quality sensor data and state-of-the-art infrastructure to validate your algorithms in real-world scenarios, making a direct contribution to the productivity, safety, and capabilities of Zoox's autonomous systems.

Join Our Team at Motional: As a Senior Machine Learning Engineer specializing in ML Planning, you will collaborate with top-tier machine learning engineers and research scientists to revolutionize the future of self-driving vehicles. Your work will contribute to creating a positive social impact by enhancing the technology that interprets complex driving environments and devises safe, efficient driving strategies for our robotaxi fleet.Your Responsibilities:Lead the design and execution of innovative experiments, leveraging insights from cross-functional teams of machine learning engineers.Prototype and implement advanced metrics to assess the performance of our behavioral models across diverse scenarios and capabilities of our robotaxi.Ensure timely deployment of significant model updates, analyzing both offline and on-road evaluation results.Stay abreast of industry trends and propose novel architectures and network designs informed by the latest research.Maintain a robust and high-quality training and evaluation codebase, focusing on dataset generation and assessment.

About UsCyvl is an innovative tech startup based in Boston, reshaping the way governments map and manage their transportation infrastructure. Our cutting-edge hardware and software solutions utilize advanced 3D mapping sensors to collect LiDAR, imagery, and GPS data, seamlessly integrated into our clients' vehicles. This data is processed through our AI-driven cloud pipelines to produce actionable geospatial insights that optimize city operations, saving time, money, and resources.At Cyvl, our mission is to empower governments in constructing and maintaining public infrastructure they can be proud of. We accelerate decision-making through our sensors and Infrastructure Intelligence Platform. This role is pivotal for our intelligence extraction process, responsible for transforming millions of street-level images and dense LiDAR point clouds into structured, queryable knowledge about the physical realm.We are a dynamic and rapidly growing team that believes in addressing real-world challenges with authenticity, simplicity, and courage. Each team member is empowered to take initiative, achieve results, and make a lasting impact on the communities we serve.