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US Canada

  • Design and implement production-grade auto-labeling pipelines that generate 3D and 4D annotations from multi-modal robot data at scale.
  • Develop data-centric learning workflows that connect auto-label outputs, Serve’s dataset infrastructure, and continuous E2E model training and evaluation pipelines.
  • Lead initiatives in self-training, weak supervision, and simulation-to-real adaptation to reduce manual labeling dependency and accelerate model iteration cycles.

Python ML Robotics Data Deep Learning

20 jobs similar to Senior Machine Learning Engineer, Auto-Labeling

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Global

  • Define the vision and feature set for our internal Robotics Data Platform.
  • Act as the Product Owner for a dedicated team of software engineers.
  • Participating in discussions with leading robotics labs and foundation model builders.

Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.

US

  • Develop machine learning models that interpret and predict road and lane structures.
  • Work with multi-modal sensor data, including cameras, LiDAR, and radar, to create 3D representations of driving surfaces.
  • Optimize algorithms for real-world deployment, influencing vehicle navigation and safety.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Canada

Design, implement, test, and deploy offline object detection, tracking, and fusion modules to automatically create annotations on Cloud Services from recorded sensor data. Define and implement the ingestion, preparation, curation, and governance of large multidimensional datasets in support of analytical models and workflows. Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce turnaround time and strengthen operational reliability.

Torc has always believed that autonomous vehicle technology will transform the way we travel, transport goods and do business and is now part of the Daimler family.

US Canada

  • Build scalable training pipelines and generating high-fidelity synthetic scenarios.
  • Design procedural simulation environments and create diverse long-tail edge cases.
  • Optimize RL systems to train robust foundational models.

At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future.

US

Design, develop, and optimize ML models for localization, including learned pose estimation, map-matching, and sensor fusion using camera, LiDAR, and radar data. Collaborate with robotics and mapping teams to integrate localization models into real-time autonomy stacks with strict performance requirements. Contribute to system design, documentation, best practices, and code reviews across ML and autonomy teams.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities.

$199,200–$298,800/yr
US Canada

  • Develop and optimize computer vision algorithms for road model detection.
  • Design and implement deep learning models for road model inference in BEV frameworks.
  • Collaborate with robotics, software, and hardware engineering teams for seamless integration.

Torc has been a leader in autonomous driving since 2007, commercializing solutions with experienced partners and now focused on developing software for automated trucks.

Canada

  • Lead development of models for autonomous vehicles to perceive and interpret road geometry.
  • Define next-generation deep learning architectures for extracting road and lane semantics from sensor data.
  • Develop evaluation frameworks for lane and road geometry accuracy and cross-domain generalization.

Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family, focusing solely on software development for automated trucks.

$175,000–$200,000/yr
US

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

$110,000–$130,000/yr
US

  • Design and build simulation scenarios representing nominal, edge-case, and adversarial conditions.
  • Translate autonomy requirements and real-world incidents into reproducible tests with clear, measurable outcomes.
  • Script environments, actors, triggers, and behaviors in Isaac Sim or Unreal Engine.

Serve Robotics is actively changing how items are moved via sidewalk robots which provide deliveries without street congestion. They are a team of tech industry veterans in software, hardware, and design are pooling their skills to build the future; their team is agile, diverse, and driven.

Europe Unlimited PTO

  • Contribute to designing, building, evaluating, shipping, and improving Sword’s products by hands-on AI/ML development.
  • Develop and maintain data processing pipelines for getting the data required to build and evaluate models.
  • Work alongside the Product, Data & Engineering Teams to define and implement AI/ML-powered features for internal and external users.

Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.

US

Draft detailed natural-language plans and code implementations for machine learning tasks. Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments. Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

Mercor is building the talent engine that helps leading labs and research orgs move AI forward.

US

  • Draft detailed natural-language plans and code implementations for machine learning tasks.
  • Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments.
  • Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward.

US

  • Transform raw customer data into structured, high-fidelity datasets.
  • Create data pipelines, labeling workflows, and reference models.
  • Partner with engineering and research teams to understand model data requirements.

Foundation EGI is an MIT-born, venture-backed Silicon Valley startup building Engineering General Intelligence (EGI)—an AI Copilot for design and manufacturing.

Europe Unlimited PTO

  • Convert and Ship CVML R&D ideas to Axon Products.
  • Research and develop advanced MLLMs, GenAI, and Computer Vision techniques for cloud, devices and sensors from multimodal data sources.
  • Design and implement efficient and scalable MLLM models for inference and analysis of visual data.

Axon is on a mission to Protect Life with their ecosystem of devices and cloud software. Life at Axon is fast-paced, challenging and meaningful with a focus on growth and making a difference.

US

  • Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
  • Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
  • Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

  • Build and maintain data pipelines to support machine learning and analytics workflows.
  • Collect, clean, and transform large, complex datasets from engineering environments.
  • Develop and train predictive models for yield, performance, and anomaly detection.

We're seeking a Data & AI Engineer at FortifyIQ. The company seems to be in technology, possibly related to silicon design based on the job description.

US

  • Lead the development of machine learning projects from requirements gathering to deployment.
  • Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
  • Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

$175,000–$220,000/yr
US

  • Lead the vision and delivery of data driven models to optimize the delivery experience.
  • Collaborate with business, product, and engineering partners to deliver data science solutions.
  • Build data driven, robust and replicable data science models.

Gopuff is a high-growth startup revolutionizing hyper-local instant e-commerce by warehousing and delivering tens of thousands of products quickly. They're assembling a team of motivated people to drive forward their vision and bring a new age of convenience to an unpredictable world.

Europe

  • Design, implement, and maintain SFT and RL post-training pipelines for multi-step coding agents.
  • Train and adapt LLMs for agent workflows, including planning, tool use, and multi-step interactions inside JetBrains IDEs.
  • Build and develop evaluation and simulation environments where coding agents can act, be measured, and compared on realistic developer tasks.

At JetBrains, code is their passion and they strive to make the strongest, most effective developer tools on earth. Today, AI-powered assistance and agents are becoming a core part of how developers work in their IDEs.