Faraday Future

Faraday Future

Tech Lead, Robotic AI Model

El Segundo, California, United States

Sponsorship not specified$150k-$180kDetected 15 days ago
PythonMachine LearningPyTorchData EngineeringA/B TestingRoboticsControlsResearch

About the role

  • This role sits at the intersection of embodied AI, robot learning, and foundation model adaptation.
  • Your work will directly determine how capable, safe, and generalizable our robots are.

Responsibilities

  • Develop and iterate on reward functions, verifiers, and RL training loops (PPO, GRPO, RLVR) to improve policy success rate and robustness in simulation and real-world deployment
  • Build and manage large-scale robot demonstration data pipelines: teleoperation data collection, action tokenization (e.g., FAST tokenizer), data augmentation, quality filtering, and dataset versioning
  • Build and maintain simulation environments (Isaac Sim, MuJoCo, SAPIEN) for scalable policy training, including domain randomization, asset generation, and task definition
  • Design and run large-scale distributed RL training across GPU clusters for locomotion and manipulation policies
  • Build evaluation and benchmarking infrastructure: automated success-rate tracking, sim evaluation harnesses, real-robot A/B testing, and regression monitoring
  • Optimize models for on-robot inference: quantization (INT8/FP8), action chunking, latency reduction, and real-time control loop integration
  • Collaborate with controls, perception, and hardware teams to integrate learned policies into the full robot software stack

Requirements

  • Deep expertise in at least one post-training paradigm: SFT on robot demonstrations, RL-based policy optimization, or diffusion/flow-matching policy training
  • familiarity with distributed training (FSDP, DeepSpeed)
  • Practical experience with robot simulation platforms (Isaac Sim, MuJoCo, PyBullet, or SAPIEN) and sim-to-real workflows

Nice to have

  • Experience fine-tuning VLA models such as π₀, OpenVLA, RT-2, Octo, or similar generalist robot policies
  • Hands-on experience with real robot platforms: humanoids, bi-manual arms (ALOHA), mobile manipulators, or dexterous hands
  • Experience with large-scale teleoperation data collection systems and robot fleet management
  • Publications at top robotics or ML venues (CoRL, RSS, ICRA, NeurIPS, ICML, ICLR)
  • Knowledge of on-device model optimization: TensorRT, ONNX Runtime, model pruning, and edge deployment for embodied AI

Compensation

  • ($150,000-$180,000 DOE), plus benefits and incentive plans

Benefits

  • Define data collection strategies across robot platforms, collaborating with robot operators and data labeling teams to ensure dataset diversity and coverage
  • Contribute to internal research efforts on topics such as multi-embodiment transfer, long-horizon task learning, open-world generalization, and human-in-the-loop policy improvement
  • Healthcare + dental + vision benefits (Free for you/discounted for family)
  • Perks + Benefits

Company info

  • Faraday Future is a California-based technology company focused on the design, engineering, and development of intelligent, connected electric vehicles and related artificial intelligence-enabled technologies.
  • Founded in 2014, the Company's mission is to disrupt the automotive and technology industries by creating user-centric, technology-first experiences.
  • The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines.
  • FF is committed to redefining mobility through AI innovation.
  • Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.
  • The Company, together with its controlled subsidiaries, operates across multiple technology-driven areas, including AI electric vehicles, robotics, and its crypto business (AIXC), all under its upgraded Global EAI Industry Bridge Strategy, marking the beginning of a new chapter in AI mobility and Web3 integration.
  • Faraday Future's automotive business exemplifies its vision for luxury, innovation, and performance, while its FX strategy aims to introduce mass production models equipped with state-of-the-art luxury technology derived from the FF brand, targeted towards a broader market with middle-to-low price range offerings.
  • We are building the next generation of intelligent robots.
  • As a leader in Robotics AI Model, you will own the critical pipeline that transforms pretrained foundation models into deployable robot policies - turning general-purpose AI into systems that can reliably manipulate objects, navigate environments, and perform complex physical tasks in the real world.
  • You will work across the full post-training lifecycle: curating demonstration data, fine-tuning vision-language-action (VLA) models or world models, training reinforcement learning policies in simulation, validating behaviors on real hardware, and optimizing models for on-robot inference.

Equal opportunity

  • equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
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