Field Engineer, Content & Language

Scale is a vital part of bringing ML-enabled technologies to the world, from autonomous driving to drones, robots, and AV / AR. For example, Scale works with the world's top self-driving car and robotics ML teams on annotating data across Lidar, Camera, and Radar modalities.

As our customer base is growing exponentially, you will be on the front lines of our field engineering efforts for our content, language and NLP based projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest customers and ensuring that the world's most innovative companies become passionate, lifelong Scale customers.

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.

The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply!

You will:

• Architect and code end-to-end data integrations, syncing customer's data to Scale's platform and back.
• Work closely with our customer's engineering teams to optimize data pipelines, including designing API endpoints and input/output schemas.
• Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success.
• Partner with Customer Success and Operations to remove any technical hurdles customers may face / debug technical issues impacting delivery and own technical escalations coming from the customer.
• Be accountable for the customer's technical experience throughout their time with Scale.
• Work with AEs and PMs to identify customer-specific feature requests.
• Develop technical domain expertise in areas of NLP, Content Understanding, and working with API integrations.
• Evangelize Scale and interact with customers at major events.

Ideally you'd have:

• Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way
• Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals
• Prior experience developing with Python and JavaScript, or other modern software languages
• Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields
• 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
• Intellectual curiosity, empathy, and ability to operate with high velocity

Nice to haves:

• Experience in AI
• Experience working in NLP, Conversational AI, NER, Content Understanding
• Previous experience as a technical go-to-market resource

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 machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. We've recently raised $325 million in Series E funding at a valuation of $7B+ and 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 accommodations@scale.com. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.