11 ΡΠ°ΡΠΎΠ² Π½Π°Π·Π°Π΄
Research Scientist, Spatial AI & Perception (Robotics)
177Β 000 - 225Β 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
Research Scientist, Spatial AI & Perception (Robotics) (SLAM/3D reconstruction/VLA): Building real-time perception and state-estimation systems for Atlas alongside offline 3D reconstruction pipelines that generate geometric data for VLM/VLA training, with an accent on spatial reasoning, sensor fusion, and geometric perception. Focus on integrating classical optimization with learned representations, grounding language and vision in 3D geometry, and deploying reliable C++ and Python research code on humanoid hardware.
Location: Waltham Office, United States
Salary: $177,000β$225,000 annually
Company
develops advanced humanoid robots and robotics systems.
What you will do
- Design and implement real-time SLAM and perception-based state estimation for Atlas and specialized data collection devices.
- Build offline 3D reconstruction pipelines using multi-view geometry, SfM/MVS, neural reconstruction, and depth/pose fusion.
- Develop spatial AI research that grounds language and vision in 3D geometry for semantic scene reasoning.
- Combine classical geometric methods, optimization-based estimation, and learned representations.
- Generate geometric scene structures that inform and supervise large VLM/VLA model training.
- Write maintainable C++ and Python code within a large production codebase and test systems on humanoid hardware.
Requirements
- PhD in Robotics, Computer Vision, Machine Learning, Computer Science, or a related field, or equivalent research experience.
- Experience building and deploying SLAM, visual odometry, or 3D reconstruction systems for robots or autonomous vehicles.
- Strong knowledge of real-time SLAM, visual-inertial odometry, state estimation, 3D reconstruction, or sensor fusion.
- Understanding of Lie groups, nonlinear optimization, and multi-view geometry.
- Strong analytical and debugging skills, with the ability to write reliable research code in C++ and Python.
Nice to have
- Experience with PyTorch or JAX and with perception outputs used in large-scale model training.
- Experience building reconstruction or data pipelines for large vision or VLA models.
- Familiarity with VLA or large behavior models and spatial grounding for manipulation and long-horizon behavior.
- Publications in leading computer vision, machine learning, or robotics conferences.
Culture & Benefits
- Direct access to an advanced humanoid robot for frequent hardware testing.
- Collaborative and inclusive research environment that values diverse perspectives and identities.
- Applied spatial perception and VLA research with real-world impact.
- Medical, dental, and vision coverage.
- 401(k), paid time off, and an annual bonus structure.
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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