6 часов назад
Research Scientist (Embodied AI)
250 000 - 350 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Research Scientist (Embodied AI): Develop AI systems, infrastructure, and data engines to enable robots to learn from experience and improve in real-world environments with an accent on large multi-modal generative world models, data infrastructure, ML infrastructure, and evaluation protocols. Focus on building scalable systems from raw robot data to deployed policies, optimizing training and inference throughput, and advancing robot capabilities through research and production deployment.
Location
Location: San Carlos, CA, United States, On-site
Company
is an embodied AI research organization focused on pretraining foundation models to accelerate the emergence of embodied intelligence in robotics.
What you will do
- Advance robot capabilities by building AI systems, scaling data pipelines, optimizing training and inference throughput, and creating evaluation frameworks.
- Build infrastructure to increase research velocity including faster pipelines, predictive evaluations, and efficient training systems.
- Ship research to production by deploying capabilities on robot hardware and measuring real-world impact.
- Contribute to a learning flywheel where robot experience improves models and robot capabilities.
- Build large multi-modal generative world models and design data infrastructure for large-scale training and annotation.
- Own distributed training and inference systems to maximize GPU utilization and model performance.
Requirements
- Location: Must work onsite in San Carlos, CA, United States.
- Strong Python and PyTorch experience with large-scale codebases and data tooling.
- Experience in at least one of the four AI pillars: model and data, data infrastructure, ML infrastructure, or evaluation protocols.
- Graduate-level education or equivalent research experience in Computer Science, Machine Learning, or related field preferred.
- Experience with distributed training frameworks and large-scale data processing pipelines.
- Experience with multi-modal generative models, world models, diffusion models, or autoregressive architectures.
- Experience with inference optimization techniques such as quantization, CUDA/Triton kernel development, or serving systems like TensorRT.
Culture & Benefits
- Competitive salary range of $250,000 - $350,000 plus equity.
- Health, dental, and vision insurance.
- 401(k) plan with company match.
- Paid time off and holidays.
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