The Opportunity
We’re looking for a driven research scientist or research engineer with a strong background in embodied machine learning and a “make it happen” mentality. The ideal candidate is able to operate independently when needed, but works well as part of a larger integrated group at the cutting edge of state-of-the-art robotics and machine learning. Experience with robots or other embodied systems (such as autonomous vehicles) is strongly preferred, particularly in the manipulation domain.
If our mission of revolutionizing robotics through machine learning resonates with you, get in touch and let’s talk about how we can create the next generation of AI-powered capable robots together.
Responsibilities
- Work as part of a dynamic, closely-knit research team building general-purpose robot foundation models.
- Implement, extend, and create state-of-the-art methods for robot behavior learning from a mixture of interactive embodied data and online data sources such as text, images, and video.
- Implement high-performance machine-learning pipelines and optimize data and learning stacks for scalability, efficiency, and performance.
- Be a key member of the team and play a critical role in rapid progress measured by both the development of internal capabilities and high-impact external publication.
- Collaborate with internal research scientists and our partner labs at top academic research universities including MIT, Stanford, Berkeley, CMU, Columbia, and Princeton to drive pioneering research at scale.
Qualifications
- 4+ years of relevant industry experience or a PhD.
- Experience training large models and deploying them on embodied systems.
- Extensive practical experience with Machine Learning using a major framework such as PyTorch or TensorFlow. Familiarity with data pipelines, model serving and optimization, cloud training, and dataset management is also useful.
- Strong understanding of the state-of-the-art in behavior learning, language, and/or computer vision.
- Some familiarity with robots and the challenges inherent in conducting research on physical hardware platforms.
- Strong proficiency in Python.
- An ability to move fast and switch between modes of rapid prototyping and robust implementation as required.
- A strong track record of impact, either via first author research publications at top-tier machine learning or robotics conferences, or via meaningful contributions to successful industry initiatives.
The pay range for this position at commencement of employment is expected to be between $165,760 and $238,280/year for California-based roles; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Note that TRI offers a generous benefits package (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave) and an annual cash bonus structure.
#J-18808-Ljbffr
