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SalaryAt Scale, our Computer Vision Data Engine powers world-class perceptions teams with data pipelines, curation, and evaluation tools. We pride ourselves on delivering the best-in-class data, having a strong customer focus, and being the leading provider in the field.
We’re looking for an Engineering Manager to join our team. In this role, you'll be given the opportunity to develop and enhance any of these products to meaningfully drive millions of dollars in revenue while increasing the maturity of our systems and processes. You’ll also get widespread exposure to the forefront of the AI race as Scale sees it in enterprises, startups, governments, and large tech companies.
The ideal person is an engineering leader who loves working on complex systems, iterating quickly, and mentoring a team of exceptionally talented engineers.
We strongly believe the best engineers own outcomes and deeply understand customer problems. This tweet by Greg Brockman summarizes it well:
https://twitter.com/gdb/status/1514291063233474560
We’re excited about solving customer problems, choosing the technologies and tactics that balance speed, function, and long-term robustness.
You will:
- Provide guidance, mentorship, and technical leadership to a team of engineers working on Autonomous Vehicles and Computer Vision projects.
- Own large new areas within our product, work across the entire product lifecycle from conceptualization through production.
- Coordinate the team to deliver experiments at a high velocity and level of quality to engage our customers.
- Architect and develop robust technical solutions.
Ideally you'd have:
- 1+ year of prior engineering management or equivalent experience, managing a team of 3+ engineers.
- Ability to interact with diverse technical and non-technical groups, spanning all organizational levels.
- Unending energy in running through walls and making an impact.
- Ability to take initiative and build productive working relationships.
- Bachelor's degree in Computer Science or another technical field (or equivalent practical experience)
Nice to haves:
- Experience in perception, robotics, or autonomous vehicle systems.
- Prior experience with data labeling and human-in-the-loop workflows.
The base salary range for this full-time position in our hub locations of San Francisco, New York, or Seattle is $179,200 - $215,040. 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.
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 world's 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 affirmative action employer and 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 accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
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