5 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Machine Learning Engineer (Robotics)
100Β 000 - 150Β 000$
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Machine Learning Engineer (Robotics): Building multimodal perception, data infrastructure, and robotics evaluation systems with an accent on VLA training, post-training, and real-world policy performance. Focus on developing reinforcement learning systems for robotics failure modes, fine-tuning multimodal models, and evaluating video, pose, tracking, and sensor data.
Location: San Francisco, United States; on-site
Salary: $100,000β$150,000 per year, plus equity
Company
is a research lab developing models of human embodied intelligence through custom hardware, large-scale data collection, robotics, and scientific research.
What you will do
- Build systems for multimodal perception, annotation, dataset quality assurance, and robotics evaluation.
- Fine-tune and evaluate vision-language-action models on downstream robotics tasks and policy performance.
- Develop post-training and reinforcement learning systems for robotics failure modes and corrective demonstrations.
- Work on video understanding, tracking, pose estimation, temporal modeling, and multimodal alignment.
- Develop benchmarking, observability, and temporal-efficiency tooling.
- Prototype and ship systems based on real-world robotics deployments and research feedback.
Requirements
- Strong machine learning engineering fundamentals across robotics, computer vision, and perception systems.
- Experience with video understanding, tracking, pose estimation, robotics, or real-world sensor systems.
- Strong technical intuition and ability to work quickly in ambiguous research environments.
- Demonstrated exceptional ownership and motivation to work on embodied AI and physical AGI.
Nice to have
- Published research or production experience in robotics, embodied AI, reinforcement learning, motion capture, or vision systems.
Culture & Benefits
- Work in a lean, deeply technical research environment operating at high speed.
- Own meaningful systems and projects end-to-end from the start.
- Contribute directly to robotics model capabilities and research into human embodied intelligence.
- Equity offered in addition to the stated salary.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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