Lead Field Engineer, Computer Vision
San Francisco, California
Scale AI
Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.Scale works with the world's top self-driving car and robotics ML teams on annotating data across Lidar, Camera, and Radar modalities. For example, our CTO, Brad Porter, was Amazon's top robotics leader, our Director of Engineering, Elliot Branson, lead perception at Cruise Automation, and one of our product leaders, Russell Kaplan, built out the core vision model for Tesla Autopilot.
As our Field Engineering team continues to grow, we’re looking for a player-coach to lead by example and build out the processes, systems, and structures that will support Scale’s ambitious growth goals.
Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Customer Success and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer’s use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth.
Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with.
You will:
- Manage and hire a team of Field Engineers focused on Scale’s Computer Vision offerings
- Partner with Customer Success and Operations to remove any technical hurdles customers may face
- Develop technical domain expertise in areas of 3D Point Clouds, 2D Image Annotation, and working with API integrations.
- Be accountable for the customer’s technical experience throughout their time with Scale
- Design, develop and maintain playbooks, internal tools, Scale’s documentation and SDKs to quickly get customers set up for long-term success
- Evangelize Scale and interact with customers at major events
- Work with AEs and PMs to identify customer-specific feature requests
You’d have:
- Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
- Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
- Prior experience developing with Python and JavaScript, or other modern software languages
- Prior experience working with clients in a pre or post-sales capacity to realize business goals
- Strong project management and interpersonal skills
- Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers
- High level of comfort communicating effectively across internal and external organizations
- A desire to build a team as part of a high-growth organization
- Intellectual curiosity, empathy, and ability to operate with high velocity
Nice to haves:
- Experience in AI and Computer Vision
- Previous experience as a technical go-to-market resource
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 accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.
Tags: APIs Autonomous Driving Computer Science Computer Vision Data pipelines Drones Engineering JavaScript Lidar Machine Learning Mathematics Pipelines Python Radar Robotics
Perks/benefits: Career development Team events
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