Machine Learning Research Engineer - Robotics
Machine Learning Research Engineer - Robotics
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$ 208000 - 260000
1 Vacancy
Job Description
Scales Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by this role you will have the opportunity to advance Robotic research shape Scales robotics offerings and expand the frontier of Robotics data and model evaluation.
You will:
- Collaborate closely with Robotics customers to drive the industry forward in using VLA data
- Develop ML pipelines to train/fine-tune models using Scales data
- Conduct research on robotics data collection cross-embodiment training and policy fine-tuning
- Develop novel methods for evaluating VLA models including new robotics industry benchmarks
- Partner with cross-functional stakeholders and Scales customers to improve data collection
- Collaborate with product teams to bring ML outcomes to Scales platform
You have:
- Practical experience building training VLA models and/or building robotics data
- 3 years of relevant industry experience in areas relating to: robotics computer vision embodied AI sim-to-real imitation learning reinforcement learning and vision language actions models
- PhD or equivalent experience in Machine Learning or Robotics
- A track record of published research in robotics
- Experience conducting data collection and performing evaluations
- Strong written and verbal communication skills and the ability to work with cross-functional teams and customers
- Intellectual curiosity empathy and ability to operate with a high degree of autonomy
Nice to haves:
- Experience working with robotics hardware platforms (robotic arms perception systems etc.)
- Experience deploying machine learning models on robotic systems in the field
- Experience with teleoperated or human-driven data for robotics (ALOHA UMI hand tracking etc.)
Compensation packages at Scale for eligible roles include base salary equity and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position determined by work location and additional factors including job-related skills experience interview performance and relevant education or training. Scale employees in eligible roles are also granted equity based compensation subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process and confirm whether the hired role will be eligible for equity grant. Youll also receive benefits including but not limited to: Comprehensive health dental and vision coverage retirement benefits a learning and development stipend and generous PTO. Additionally this role may be eligible for additional benefits such as a commuter stipend.
The base salary range for this full-time position in the location of San Francisco is:
$208000 - $260000 USD
PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry and our team is transforming how organizations build and deploy AI. Our products power the worlds most advanced LLMs generative models and computer vision models. We are trusted by generative AI companies such as OpenAI Meta and Microsoft government agencies like the U.S. Army and U.S. Air Force and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability status gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability please contact us at Please see the United States Department of Labors Know Your Rights poster for additional information.
We comply with the United States Department of Labors Pay Transparency provision.
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Employment Type
Full Time
