Machine Learning Research Engineer - Robotics at Scale AI

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, Artificial IntelligenceIndustries

Requirements

Candidates must have a PhD or equivalent experience in Machine Learning or Robotics, with a track record of published research in robotics. They should possess practical experience building training VLA models and/or robotics data, along with 3+ years of industry experience in areas such as robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models. Strong written and verbal communication skills, intellectual curiosity, empathy, and the ability to work autonomously are also essential. Experience with robotics hardware, deploying ML models on robotic systems, and working with teleoperated or human-driven robotics data are considered advantageous.

Responsibilities

The Machine Learning Research Engineer will collaborate with robotics customers to advance the use of VLA data and develop ML pipelines for training and fine-tuning models using Scale's data. Responsibilities include conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning, as well as developing novel methods for evaluating VLA models and creating new robotics industry benchmarks. The role also involves partnering with cross-functional stakeholders and customers to improve data collection and collaborating with product teams to integrate ML outcomes into Scale's platform.

Skills

Machine Learning

Robotics

Computer Vision

Embodied AI

Sim-to-Real

Imitation Learning

Reinforcement Learning

Vision Language Models

Data Collection

Model Evaluation

Data Pipelines

Communication

Scale AI

AI platform for data and models

About Scale AI

Scale AI provides a platform that helps businesses develop AI applications by utilizing their enterprise data to customize generative models. The platform includes tools for collecting, curating, and annotating data, as well as features for evaluating and optimizing models. Scale works with a variety of clients, including major tech companies like Microsoft and Meta, government agencies such as the U.S. Army and Airforce, and startups like Brex and OpenSea. What sets Scale apart from its competitors is its comprehensive suite of tools and services that focus on safely unlocking the value of AI. The company's goal is to enhance the performance of advanced language models and generative models, making AI more accessible and effective for its clients.

San Francisco, CaliforniaHeadquarters

2016Year Founded

$1,558.9MTotal Funding

SERIES_FCompany Stage

Data & Analytics, AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health, Dental & Vision Coverage - Our health plans give you the flexibility to select the right coverage for you and eligible family members through a variety of plan options.

Easy to use 401(K) - Plan and invest for the future with a 401(k) via Guideline. Scale’s 401(k) plan provides you an opportunity to defer compensation for your long-term savings.

Wellness Fund - We care about the physical, mental, and emotional wellbeing of all Scaliens. Our $100/month wellness stipend can be used for gym memberships, acupuncture, meditation apps, and so much more.

Virtual Social Activities - Being remote has not stopped us from hosting fun virtual events. From trivia night to candle making, we ensure employees are fostering connections & building strong relationships.

Learning & Development - We know how important career growth is for Scaliens, so we offer a $500/year L&D stipend to help support continued development throughout your journey.

Flexible hours allow you to work when you are most productive. You can work with your manager to best plan your daily work schedule.

Generous Paid Time Off - Enjoy time to travel or plan a staycation. We encourage employees to take time off to recharge and prevent burnout. We have a flexible PTO policy where each employee is afforded the flexibility to take planned time-off as needed.

Commuter Benefits - Set aside pre-tax dollars to use on qualified transportation expenses to help ease your commute.

Parental Leave - Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.

Risks

Legal issues over labor practices could harm Scale AI's reputation and financial standing.

Controversial stance on DEI may deter potential talent and partnerships, affecting growth.

Expansion in San Francisco could increase operational costs amid uncertain economic conditions.

Differentiation

Scale AI offers comprehensive data annotation for AI, unlike competitors focusing on single modalities.

The platform supports diverse clients, from tech giants to government agencies, enhancing its versatility.

Scale AI's commitment to AI safety initiatives sets it apart in responsible AI development.

Upsides

Growing demand for AI data annotation boosts Scale AI's market potential and client base.

Expansion into defense applications opens new revenue streams and strategic partnerships.

Partnerships with AI safety organizations enhance Scale AI's reputation as a responsible AI leader.

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