Turing

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Robotics Engineer

RoboticsRoboticsFull TimeRemoteTeam 1,001-5,000Since 2018H1B SponsorCompany SiteLinkedIn

Location

Massachusetts

Posted

59 days ago

Salary

$156K - $202.5K / year

Bachelor Degree8 yrs expEnglishNode.jsPythonPy Torch

Job Description

• Help Launch Business Unit: a 0-to-1 opportunity to help build a new business unit within Turing. • Define Industry Standards: Architect off-the-shelf datasets that will fuel the robotics ecosystem, setting the benchmark for Physical AI data quality. • Own the Evaluation Loop: Lead the critical feedback loop that validates data quality, proving empirically how specific attributes drive model performance. • Design "Off-the-Shelf" Solutions: Leverage your experience to define specifications for high-value dataset products (e.g., "The definitive bi-manual manipulation dataset for household objects"). You will dictate the requirements to our Sim, Teleop, and Motion Capture teams to ensure they capture the right data. • Commercial Engagement: Partner with the Sales team as a key technical authority. You will translate customer pain points (e.g., "Our model fails on transparent objects") into well defined data solutions. • Quality Definition: Move beyond basic QA (resolution, frame rate) to semantic QA. Define what "high-quality" data looks like for model learning. • Build the "Eval" Loop: Establish workflows to train and fine-tune open-source Robotics Foundation Models (e.g., OpenVLA, Octo, RT-X) on our data. You will empirically prove that Turing’s data improves model performance. • Agentic Gap Analysis: Develop automated workflows to analyze datasets for coverage gaps. Use this analysis to provide high-value insights to customers (e.g., "Your model is failing because your training distribution lacks diverse lighting conditions—here is the synthetic data to fix it"). • Benchmark-as-a-Service: Lead the development of virtual and physical benchmarking environments to test customer policies. • The Optimization Loop: Build a full-cycle service where Turing: (1) Benchmarks a client's model, (2) Identifies performance gaps, (3) Translates gaps into data requirements, and (4) Delivers the data to close the loop. • Establish a New Business Unit: Scale these capabilities into a dedicated "Benchmarking & Optimization" business unit. You will help build this new pillar, recruiting the team, defining the product solution, and driving the monetization strategy.

Job Requirements

  • 8+ years of total experience as a seasoned technologist with cross-functional operational experience.
  • 5+ years in Robotics Learning with deep hands-on experience training and deploying machine learning models for robotics (Imitation Learning, RL, or VLA architectures).
  • 3+ Years of cross-functional & commercial experience in which you have 'bridged the gap' between research and product sales (e.g., Applied Scientist, Technical Lead, or Solutions Architect).
  • Expert proficiency in Python. You must be capable of writing production-grade ML code, custom data loaders, and evaluation pipelines from scratch.
  • Deep proficiency in PyTorch or JAX. Experience implementing and debugging complex deep learning architectures.
  • Direct hands-on experience training, fine-tuning, or evaluating advanced robotics policies. Specifically, familiarity with Diffusion Policies or VLA architectures.
  • Proficiency with ROS (Robot Operating System). You must understand message passing, node architecture, and how to interface with hardware drivers.
  • Experience manipulating standard robotics data formats. You understand the structure of 'trajectory' data (state-action pairs).
  • Strong grasp of 3D spatial mathematics (quaternions, coordinate frames, transformations) essential for manipulating robot kinematics and camera data.
  • Entrepreneurial mindset required: ability to own end-to-end solutions, including technical execution, customer engagement, cost/ROI tradeoff analysis, and value communication to technical and non-technical stakeholders.

Benefits

  • Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
  • Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
  • Competitive compensation
  • Flexible working hours

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