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Director Horizon Robotics Jobs (NOW HIRING)

We're now scaling production of our flagship model with new models and sectors on the horizon. Now ... Familiarity with autonomy, robotics, and maritime systems * Enthusiasm for boating and clean energy ...

Director, Defense

Torrance, CA · On-site

$243 - $297/hr

We're now scaling production of our flagship model with new models and sectors on the horizon. Now ... Familiarity with autonomy, robotics, and maritime systems * Enthusiasm for boating and clean energy ...

We're now scaling production of our flagship model with new models and sectors on the horizon. Now ... Familiarity with autonomy, robotics, and maritime systems * Enthusiasm for boating and clean energy ...

AVP Laboratory Services

Dallas, TX · On-site

$104K - $137K/yr

... horizon, and is responsible for laboratory operational, clinical, and education processes ... Laboratory Directors have Solid line reporting to the AVP Laboratory Services and dotted line to a ...

AVP Laboratory Services

Dallas, TX · On-site

$104K - $137K/yr

... horizon, and is responsible for laboratory operational, clinical, and education processes ... Laboratory Directors have Solid line reporting to the AVP Laboratory Services and dotted line to a ...

... on hard, long-horizon problems. You hold yourself and your team to the highest standards of ... Lead, grow, and mentor a multi-disciplinary team of AI engineers, robotics engineers, and software ...

Director, AI Core Software

Boston, MA · On-site

$274K/yr

... on hard, long-horizon problems. You hold yourself and your team to the highest standards of ... Lead, grow, and mentor a multi-disciplinary team of AI engineers, robotics engineers, and software ...

Showing results 21-40

Director Horizon Robotics information

What is the difference between Director Horizon Robotics vs Machine Learning Engineer?

AspectDirector Horizon RoboticsMachine Learning Engineer
Required CredentialsAdvanced degree in engineering, computer science, or related field; leadership experienceBachelor's or master's in computer science, AI, or related field; strong programming skills
Work EnvironmentLeadership role overseeing teams, strategic planning, and product development in AI hardware/softwareHands-on development, model training, and algorithm implementation in AI projects
Employer & Industry UsageTech companies specializing in AI hardware, autonomous vehicles, and roboticsTech firms, startups, and research labs focused on AI and machine learning applications

The main difference is that the Director Horizon Robotics focuses on strategic leadership and overseeing AI hardware/software projects, while the Machine Learning Engineer is more involved in technical development and model training. Both roles require strong technical backgrounds, but the director position emphasizes management and vision in the AI industry.

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Infographic showing various Director Horizon Robotics job openings in the United States as of August 2026, with employment types broken down into 2% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution.

Research Scientist, VLA Models - Atlas

Boston Dynamics

Waltham, MA • On-site

Full-time

Re-posted 9 days ago


Job description

As a VLA Research Scientist on the Atlas team, you will architect, train, and deploy the large-scale behavior models that enable high-performance dexterous manipulation on Atlas. Your work will focus on building models that take multimodal input (vision, language, task context, robot state), and produce grounded actions that generalize across manipulation tasks, embodiments, and environments.
You will design large-scale behavior cloning and imitation learning pipelines, build hierarchical skill systems, and integrate learned components into a complex, real-world robotic system. You'll collaborate closely with robotics, controls, and software teams, and rapidly test your work on state-of-the-art humanoid hardware.
How You Will Make an Impact:
  • Architect and train end-to-end VLA and Large Behavior Models for mobile manipulation on Atlas.
  • Build large-scale imitation learning pipelines that learn from human demonstrations, teleoperation, and simulation data.
  • Develop policies capable of few-shot generalization across diverse manipulation tasks.
  • Create hierarchical behavior systems that combine learned skills into long-horizon behaviors.
  • Integrate your models into Atlas's autonomy stack in collaboration with controls and platform teams.
  • Deploy, debug, and iterate your models directly on physical hardware.
  • Write high-quality, maintainable Python and C++ code that fits into a large production codebase.

We're Looking For:
  • MS with 3+ years of experience or PhD in Machine Learning, Robotics, Computer Science, or related fields.
  • Prior experience training and deploying learned policies for complex behaviors in robots or simulated characters.
  • Strong background in:
    • Behavior cloning / imitation learning
    • Diffusion policies, ACT, or other modern BC architectures
    • Large behavior models or sequence modeling
    • Multimodal (vision/language/action) learning
  • Experience with modern ML frameworks (PyTorch, JAX) and large-scale training workflows.
  • Strong analytical and debugging skills; ability to write reliable, well-structured research code.

Nice to Have:
  • Hands-on experience deploying learned policies on real robots.
  • Experience creating or curating large demonstration datasets (teleop, human demos, ego-centric video).
  • Experience with RL as a complementary tool within behavior learning pipelines.
  • Publications in top-tier ML or robotics conferences (e.g., CoRL, RSS, ICRA, NeurIPS).
  • Experience contributing to large C++ or Python codebases.

Why Join Us:
  • Direct access to an advanced humanoid robot-test your models on hardware quickly and often.
  • A collaborative, inclusive team that values diverse perspectives and identities.
  • The opportunity to do applied VLA research with real-world impact.
  • A mission-focused environment where your work will define the future of general-purpose humanoids.