Faraday & Future Inc.
Tech Lead, Robotic AI Model
El Segundo, California, United States · Mid
Sponsorship not specified$150k-$180kDetected 147 days ago
PythonMachine LearningPyTorchData EngineeringA/B TestingRoboticsControlsResearch
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odds of building a lasting career here
61Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
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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.
- You will work across the full post-training lifecycle:
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
- familiarity with distributed training (FSDP, DeepSpeed)
- Practical experience with robot simulation platforms (Isaac Sim, MuJoCo, PyBullet, or SAPIEN) and sim-to-real workflows
- Deep expertise in at least one post-training paradigm: SFT on robot demonstrations, RL-based policy optimization, or diffusion/flow-matching policy training
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
Skills
- FF is committed to redefining mobility through AI innovation.
Compensation
- ($150,000-$180,000 DOE), plus benefits and incentive plans
Benefits
- Familiarity with RLHF/DPO/GRPO applied to robotic policy alignment and human preference learning
- Experience building or contributing to robot learning infrastructure (LeRobot, robomimic, openpi, etc.)
- Healthcare + dental + vision benefits (Free for you/discounted for family)
- 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
- 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, 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.
- The Company aims to leverage the latest technologies and world's best talent to realize exciting new possibilities across all of these lines.
- 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.
- Join us in shaping the future of intelligent transportation and technology by creating something new, something connected, and something with a true global impact.
- 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.
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