Research Scientist, Vision-Language-Action (VLA) Models

Bosch

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Work type
On-site
Location
Sunnyvale, CA
Salary
$165,000–$185,000 / yr
Posted
9 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $230k
This role $175k
$150k most similar roles pay here $302k

This role pays less than 92% of similar roles. Most pay $202,800–$256,950 — the shaded band above. At the midpoint, this role pays about $175k versus about $230k for comparable roles.

Based on 240 similar postings.

Employer

About Bosch

Bosch is a global engineering and technology company supplying mobility solutions, industrial technology, consumer goods, and energy and building technology; Robert Bosch LLC is its North American arm.

Bosch currently has 34 open roles on FindRole.

Listed pay typically runs $165,000–$185,000 across 16 roles with salary data.

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At a glance

TL;DR · Research Scientist, Vision-Language-Action (VLA) Models

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Research Scientist- Vision-Language-Action (VLA) Models joins the Intelligent Autonomous Systems group to advance research in the ADAS and autonomous driving industries. The role involves conducting research and engineering in core AI and machine learning fields to enable Embodied AI, specifically focusing on modular end-to-end perception and planning. You will implement research results to solve real-world challenges in industrial automation and robotics while ensuring high-quality system integration. Required skills include proficiency in Python, C++, or Rust, and experience with TensorFlow or PyTorch. Candidates must have expertise in reinforcement learning techniques like PPO, DQN, and DDPG. The work involves developing multimodal transformer-based sequence-to-sequence models, diffusion models, and 3D scene understanding to improve reasoning capabilities and explainability within autonomous systems.

What does a Research Scientist earn?

Median $216250 from 37 postings across 13 companies.

See salary data

Skills

Python C++ Rust PyTorch TensorFlow Computer Vision Reinforcement Learning Multimodal Transformers large vision-language-(action) models Diffusion Models NeRF Gaussian Splatting Object Detection 3D Scene Understanding PPO DQN DDPG Distributed Computing

What you'll do

  • Conduct research and engineering in core AI fields to enable Embodied AI for ADAS, industrial automation, and robotics.
  • Develop modular end-to-end perception and planning systems using large vision-language-action models.
  • Implement research results to solve real-world challenges and ensure high-quality system integration within existing platforms.
  • Build frameworks for motion planning, high-level task planning, and decision-making in autonomous systems.
  • Document and disseminate research findings through high-caliber publications and patent submissions.
  • Engage with academic and industry communities through conferences, workshops, and technical events.

What we're looking for

  • Ph.D. in Computer Science, Robotics, or a related discipline.
  • Master's degree with at least 2 years of industry experience after graduation.
  • Minimum of 3 years of R&D experience in AI technologies, including Computer Vision and Robotic or Automotive Motion and Behavioral Planning.
  • Proficiency in one or more programming languages commonly used in machine learning, such as Python, C++, or Rust.
  • Knowledge of major machine learning frameworks like TensorFlow or PyTorch.
  • Hands-on experience in reinforcement learning for behavior or motion planning and familiarity with common RL techniques.
  • A strong portfolio of publications in premier machine learning, deep learning, robotics, and computer vision journals and conferences.
  • Experience with real-world product development of autonomous systems and multimodal transformer-based models (preferred).

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