Aartificial intelligence, Design, Finance, IT Security, Machine learning techniques, OOPS
Scale is looking for an experienced platform engineering leader. You will work horizontally with the platform team supporting Scale’s existing and new product verticals creating a platform which enables fast experimentation, high interoperability, and security & compliance by default.
The ideal candidate is someone who can hands-on lead the platform team today to create the foundational infrastructure for Scale’s scaling while also creating process and structure for the company's growth. They should create a team culture of amplifying Scale and create strong advocates within the product verticals. They should have experience leading a high performance horizontal engineering team; identifying what the company needs and with achieving outcomes which combine to push the company forward.
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The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle, is $249,600-$312,000. Compensation packages at Scale 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. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Scale employees are also granted Stock Options that are awarded upon board of director approval. You’ll 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.
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
United States
2-4 year
San Francisco, CA, USA
2-4 year
San Francisco, CA, USA
4-6 year