Machine Learning Engineer - Perception Offline Driving Intelligence

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.

About Hike MedicalHike Medical is revolutionizing musculoskeletal care, beginning with foot health. Our innovative AI-driven vision platform transforms a quick 30-second web-based foot scan into custom-engineered, 3D-printed insoles that help prevent pain before it occurs. We are already safeguarding the well-being of on-their-feet workforces at Fortune 50 companies, significant health systems, and manufacturers across middle America. Recently funded by top-tier venture capitalists, we maintain a fast-paced, no-nonsense execution culture from our Boston Seaport headquarters as we aim for $100M ARR and to support 10 million Americans in their daily lives.First and only PDAC-approved 3D printed custom insole globally Three proprietary AI models enhancing the user experienceTwo product lines: one for employers & health plans, and another for clinics to provide affordable foot care, creating a beneficial cycle of clinician-validated data.Expanded access to care for over 100,000 Americans to dateRevenue growth of 10x from 2023 to 2024, with projections to continue this trend in 2025. Consistently profitable month-over-month.The RoleAs a Senior Software Engineer, you will develop and deploy the essential systems behind Hike’s AI healthcare platform. Serving as the backbone of Hike's rapidly growing, mission-driven initiative, you will design scalable services, implement production-ready AI, and create user experiences that enhance patient outcomes. From your first day, you will enjoy significant autonomy and a direct impact on transforming the US healthcare landscape.Why This Opportunity is Career-Defining:Your code will empower individuals to move without pain.You will have complete autonomy to create, deploy, and witness the outcomes—transitioning from concept to production in mere hours or days.You’ll collaborate with a high-performing team of elite engineers and AI researchers, where every addition substantially influences our mission.You'll thrive in a culture that rejects bureaucracy, discourages unnecessary complexity, and values trust as our core principle.What You'll Work On:Architect, build, and refine high-performance, scalable systems that drive AI-based solutions.Design resilient, serverless architectures within a TypeScript and AWS environment.Create developer-friendly APIs and SDKs to enhance integration and usability.

Join our innovative team at hike-medical as a Senior Product Designer, where you will play a crucial role in shaping the future of healthcare technology. We are looking for a creative and experienced designer who is passionate about user-centered design and has a strong portfolio showcasing impactful design solutions.In this role, you will collaborate with cross-functional teams to conceptualize and develop user-friendly products that enhance patient experiences. Your expertise in design thinking and your ability to translate complex problems into elegant solutions will be vital to our mission.

Join the Revolution in Musculoskeletal CareAt Hike Medical, we are transforming the landscape of musculoskeletal care. Our mission is to empower clinicians while collaborating with leading employers to enhance patient care.Utilizing our cutting-edge AI-vision platform, we enable Orthotic & Prosthetic (O&P) clinics, Podiatrists, and Physical Therapists to eliminate outdated plaster casting and cumbersome foam boxes. Our innovative solution allows for a quick 30-second web-based scan to order precision-engineered, 3D-printed insoles, streamlining workflows, reducing fabrication times, and improving patient care quality.Transforming a traditional industry: Our technology replaces manual fabrication methods with AI and 3D printing.Driven by three proprietary AI models.Projected 10x revenue growth from 2023 to 2024, targeting the independent clinic market by 2026.Your Role as a Clinical SDRIn the pivotal role of Clinical Sales Development Representative, you will be the driving force behind our provider growth strategy. Your primary responsibility will be to engage with O&P clinics, Podiatry practices, and Physical Therapy centers.Your objective is to persuade clinic owners and practitioners to experience a demo of the Hike platform. You will be introducing the concept of 'Digital Transformation' to small business owners who may be entrenched in analog methodologies. Comfort in navigating gatekeepers and conversing in credible medical and business terminology with doctors and practice managers is essential.Key Responsibilities:Master high-volume outreach: Conduct 60-80 calls daily to clinics nationwide, effectively engaging decision-makers.Discuss Practice Economics: Go beyond discussing insoles; focus on billable hours, workflow efficiency, and profit margins, articulating how Hike enables clinics to treat more patients in less time.Qualify Clinical Needs: Evaluate current fabrication practices to inform our Account Executives.Educate the Market: Serve as an advocate for AI scanning, demonstrating its PDAC approval, reimbursement eligibility, and advantages over traditional casting methods.What We Value in YouSuccess in selling to doctors and clinic owners requires a unique blend of professionalism and determination. We are seeking candidates with:A Proven Track Record: 1-3 years of sales experience, ideally in SMBs, medical practices, dental offices, or independent pharmacies.Gatekeeper Expertise: Ability to navigate front desk staff and reach decision-makers confidently.

At WHOOP, we are dedicated to revolutionizing health and fitness through advanced wearable technology. Our mission is to empower individuals to unlock their full potential by gaining profound insights into their health and performance.The Health team focuses on innovating algorithms and features that enhance our health monitoring capabilities. Our initiatives encompass critical areas such as women’s health, software as a medical device, wellness tracking, longevity research, and cutting-edge health insights. By integrating continuous physiological data with clinical research and expert opinions, we create features that are scientifically robust and significantly beneficial to our members.As a Senior Machine Learning Engineer on our Health team, your role will involve designing, developing, and deploying machine learning systems that provide meaningful, tailored health metrics for millions. You will operate at the confluence of data science, backend engineering, and cloud infrastructure, delivering scalable and dependable ML solutions based on physiological and behavioral data streams. This position requires exceptional coding skills, system architecture expertise, and the capability to produce production-ready machine learning services.

Join Hike MedicalAt Hike Medical, we are revolutionizing musculoskeletal care with a focus on foot health. Our innovative AI-driven platform transforms a quick, web-based foot scan into custom, 3D-printed insoles designed to prevent pain. We proudly serve on-their-feet workforces at Fortune 50 companies, leading healthcare systems, and manufacturers across middle America.Backed by prominent venture capitalists, we foster a fast-paced, execution-driven culture based in Boston’s Seaport district, as we aim to hit $100M ARR and make a difference for 10 million Americans in their daily lives.First and only PDAC-approved 3D printed custom insole in the world Three proprietary AI models powering our unique offeringsTwo distinct products: one for employers & health plans, and one for clinics — fostering a cycle of clinician-validated dataExpanded access to care for over 100,000 Americans so farThe RoleAs an Account Executive focused on Channel Partnerships, you will drive revenue growth through collaboration with benefits consultants, brokers, and strategic ecosystem partners, while also supporting select direct employer engagements. You will cultivate and enhance relationships with national and regional brokerage firms, empowering partners to confidently present Hike to their employer clients, and co-sell to large, complex accounts.This position is ideal for a dynamic individual who excels in relationship-centric sales, understands the influence of advisors on employer purchasing decisions, and desires to contribute to the establishment of a sustainable, scalable channel strategy from the ground up. You will be instrumental in extending Hike’s reach across the employer benefits landscape.We are looking for someone who:Is passionate about partner-driven growth and building lasting relationshipsIs outgoing and adept at leading discussions with brokers, consultants, and employersIs highly organized, ideally the most organized person on their current team, and capable of managing multiple partner-led initiatives concurrentlyYou will collaborate closely with the leadership team, Customer Success, Marketing, and Product departments, and will play a key role in generating partner-sourced revenue.

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

Join Hike Medical as an Account ExecutiveAt Hike Medical, we are transforming the landscape of musculoskeletal care, beginning with foot health. Our innovative AI-vision platform enables a rapid, sensor-free, 30-second foot scan that produces precision-engineered, 3D-printed insoles designed to prevent pain before it manifests. We proudly serve esteemed clients, including Fortune 50 companies, leading health systems, and manufacturers across Middle America.Following a successful funding round with prestigious venture capitalists, we thrive in a dynamic, results-driven culture based in Boston’s vibrant Seaport. Our ambitious goal is to reach $100 million ARR while improving the lives of 10 million Americans through enhanced foot care.Pioneers of the world’s first PDAC-approved 3D printed custom insole Three proprietary AI models that enhance user experienceTwo tailored products: one for employers & health plans, another for clinics — fostering a productive cycle of clinician-validated dataWe have successfully expanded access to care for over 100,000 Americans to date.Your RoleWe value execution and ownership over rigid qualifications. However, the following attributes are highly desirable:6 to 10 years of B2B sales experience, with a proven record of closing enterprise or upper-mid-market deals.Experience engaging with employers, HR, benefits, healthcare, or related enterprise buyers.Background in healthcare, employer benefits, musculoskeletal health, occupational health, or medical devices.Experience collaborating with large enterprises and managing complex programs (e.g., Fortune 1000 companies, major health systems, large manufacturers).Deep knowledge of the HR/benefits buyer and their purchasing process.Demonstrated ability to handle the complete sales cycle involving multiple stakeholders and extended timelines.Consistent track record of achieving or surpassing sales quotas.Exceptional relationship-building and communication skills, adept at engaging with stakeholders from operational teams to C-suite executives.Comfortable leading sales meetings, presentations, and executive discussions.Highly organized with an effective system for managing pipelines, forecasting, and follow-ups.Experience in close collaboration with Customer Success, Operations, and Product teams.Position requires on-site presence in Boston.

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.

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.

About Hike MedicalHike Medical is revolutionizing musculoskeletal care, beginning with foot health. Our innovative AI-vision platform transforms a simple 30-second web-based foot scan — without the need for sensors — into precision-engineered, 3D-printed insoles designed to prevent pain before it arises. We are proud to support on-their-feet workforces at Fortune 50 companies, leading healthcare systems, and manufacturers across Middle America.Recently emerging from a stealth funding round with top-tier venture capitalists, we cultivate a dynamic, no-nonsense, execution-oriented culture in Boston’s Seaport district as we aim for $100 million in annual recurring revenue and aim to enhance the lives of 10 million Americans who rely on our solutions every day.The first and only PDAC-approved 3D printed custom insole globally Three proprietary AI models powering our unique experienceTwo distinct products: one tailored for employers & health plans, and another for clinics — fostering a virtuous cycle of clinician-validated dataExpanded care access to over 100,000 Americans to date10x revenue growth forecasted from 2023 to 2024, with similar projections for 2025; profitable month-over-monthThe OpportunityAs Hike’s first Customer Success Leader, you will be our inaugural full-time hire focused on managing the post-sale customer lifecycle. You will oversee our most significant and intricate relationships with employers, healthcare organizations, and major ecosystem partners, ensuring their successful launch, measurable outcomes, and mutual growth.This position offers the chance to manage a high-profile portfolio of our most crucial customers, acting as their primary partner, while establishing the systems and processes that will define Customer Success at Hike. Ideal candidates are:Driven by large-scale enterprises and complex, multi-stakeholder interactionsExtremely sociable and passionate about engaging in customer dialoguesHighly organized (ideally the most organized individual in their current team) and thrives in high-stakes situationsYou will collaborate closely with the leadership team, Sales, Operations, and Product, and will be a key driver of revenue retention and expansion.

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.

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.

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

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.

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.

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!

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.

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.