What are the responsibilities and job description for the Machine Learning Engineer position at Karkidi?
The Opportunity
We’re looking for a driven machine learning engineer comfortable working on large integrated machine learning systems. Experience with robots or other embodied systems (such as autonomous vehicles) is a bonus.
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
- 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.
- Build, improve, and robustify end-to-end integrated ML pipelines for training multimodal (language, images, video, actions) models at scale.
- Train, finetune, and serve robot foundation models with a strong MLOps mindset.
- Build processes for integrating collaboration-produced and open-source advancements and code into our internal stack.
- Build and improve large data pipelines for foundation model training.
- 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 publications.
Qualifications
Nice to haves
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. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
J-18808-Ljbffr
Salary : $165,760 - $238,280
