Senior Staff Machine Learning Engineer - Perception

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 …

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.

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.

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

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 Behaviors team focused on Prediction and Machine Learning Planning at Motional, where you will collaborate with leading ML engineers dedicated to transforming self-driving vehicles into a reality and making a positive impact on society. Our team develops advanced machine learning models that understand how various agents navigate intricate, real-world traffic environments. These models are pivotal in directing the behavior of our autonomous vehicles while also predicting the actions of other entities like vehicles and vulnerable road users. We are on the lookout for exceptional leaders and technical specialists who are deeply passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and seek to advance your career within a rapidly growing organization, we want to hear from you!

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.

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!

Join our innovative Behaviors team at Motional, where you will work alongside leading ML engineers dedicated to advancing self-driving technology and making a meaningful social impact. Our team specializes in developing sophisticated machine learning models that enable autonomous vehicles to navigate real-world traffic scenarios effectively. These models inform our vehicle's behavior and predict interactions with other road users, including vehicles and pedestrians.We are seeking exceptional leaders and technical experts passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and wish to accelerate your career with a dynamic, rapidly growing company, we want to hear from you!Your Responsibilities:Define and oversee motion planning and prediction projects aimed at enhancing the safety, comfort, and legality of our self-driving vehicles in complex traffic environments.Lead, mentor, and expand a talented team of engineers.Design and implement advanced behavior models utilizing cutting-edge machine learning, generative AI, and reinforcement learning techniques.Transition solutions into production and deploy them across our fleet of autonomous vehicles.Collaborate with perception, simulation, data platforms, and integration teams to validate and optimize the performance of your solutions in real-world scenarios.Communicate strategies, progress, and challenges to the executive leadership team.

Join AcuityMD as a Senior Machine Learning Engineer where you'll play a pivotal role in shaping our Data and Intelligence products. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to create innovative solutions that drive our product offerings. Collaborate with cross-functional teams to enhance our capabilities and deliver exceptional value to our clients.

The Machine Learning Observability team at Datadog is at the forefront of developing innovative tools designed to monitor, interpret, and enhance AI systems deployed in production environments, with a special focus on Large Language Models (LLMs) and generative AI technologies. Our solutions provide comprehensive and scalable observability for AI workloads, including drift detection, model evaluation, and behavior tracing, empowering our clients to deploy AI confidently. As a Staff Software Engineer, you will be instrumental in driving the development of new features and core capabilities within Datadog’s LLM Observability product. You will influence product strategy, lead experimental initiatives, and leverage your extensive knowledge of AI systems and software engineering to tackle complex challenges in the rapidly evolving AI domain. Your contributions will have a significant impact on how our customers monitor, diagnose, and optimize LLM-powered applications in production. Join us in creating the essential tools that ensure AI systems are observable, comprehensible, and dependable in real-world applications. At Datadog, we value our office culture which fosters relationships, collaboration, and creativity. We operate within a hybrid work model to enable our Datadogs to achieve a work-life balance that suits them best.

Mission Overview: At Motional, we are revolutionizing the way autonomous vehicles extract vital insights from extensive multimodal sensor data. Our advanced autonomous driving architecture relies on identifying rare edge cases, long-tail scenarios, and significant model inaccuracies. Our innovative framework, Omnitag, serves as the driving force behind this data discovery. In your role as a Senior Machine Learning Engineer within the Data Mining team, you will be tasked with creating the "Brain" of this framework: designing large-scale multimodal Teacher models that interpret the world and refining them into hyper-efficient Student models capable of analyzing exabytes of data in near real-time. You will operate at the crossroads of large-scale representation learning, retrieval optimization, and reasoning systems. Your contributions will profoundly impact how we encapsulate knowledge into streamlined encoders for rapid searches, as well as how we utilize reinforcement learning to enhance data discovery processes and intelligent querying. By developing smarter mining tools, you will expedite the entire model enhancement lifecycle for teams engaged in post-training evaluations, error diagnostics, and dataset refinement.

Harvard University’s Biomedical Informatics department is hiring a Machine Learning Engineer in Boston. This position centers on developing machine learning tools that advance biomedical research and healthcare initiatives. Key responsibilities Design and implement machine learning models tailored to biomedical datasets Work closely with researchers and technical colleagues to address complex data challenges Translate research goals into technical solutions that contribute to healthcare applications Requirements Strong grasp of machine learning algorithms Background in data analysis and programming Comfort working with multidisciplinary teams

JOB SUMMARYJoin our innovative team at Iambic Therapeutics as a Machine Learning Software Engineer (I/II). In this dynamic role, you will develop, deploy, and manage machine learning systems that significantly contribute to our drug discovery initiatives. Collaborate with a diverse team to optimize ML lifecycle workflows, enhance GPU-accelerated application deployment, and work closely with ML scientists to convert models into robust, scalable software solutions. This hybrid position is based in our Boston, MA office.KEY RESPONSIBILITIESDesign and implement production-grade ML workflows, ensuring strong observability and CI/CD practices.Deploy GPU-accelerated ML services using contemporary tools and cloud orchestration.Work collaboratively with ML scientists and cross-functional teams to gather requirements, define milestones, and integrate features into existing workflows.Conduct code reviews and mentor team members on best practices in software engineering and MLOps.QUALIFICATIONSEngineer I: At least 5 years of relevant experience with a Bachelor’s degree in a scientific field; or 3 years with a Master’s degree; or equivalent experience.Engineer II: 8+ years of relevant experience with a Bachelor’s degree in a scientific field; or a PhD with 3+ years of experience; or equivalent experience.Proficient in modern Python development, including packaging, type hints, testing, and performance optimization, with experience in creating production services and libraries.Hands-on experience with ML model lifecycle and associated tools (e.g., PyTorch, Hugging Face, vLLM/Triton/ONNX Runtime); data tools (e.g., Pandas, Arrow, S3, Parquet); and workflow orchestration (e.g., Prefect, Airflow, Luigi).Experience with cloud deployment (AWS preferred), including containerization, Infrastructure as Code (IaC), and GPU workload considerations.Experience in scientific domains or drug discovery is a plus; the ability to collaborate effectively with scientists and communicate across disciplines is essential.ABOUT IAMBIC THERAPEUTICSIambic Therapeutics is a pioneering clinical-stage life sciences and technology company, dedicated to developing groundbreaking medicines through its AI-driven discovery and development platform. Founded in 2020 and headquartered in San Diego, we are committed to leveraging advanced technology to transform healthcare.