Scale is a vital part of bringing ML-enabled technologies to the world, from autonomous driving to document processing and more. Scale’s emerging products are some of the fastest-growing in the company’s history. In particular, Scale is building SaaS-like solutions to help democratize Scale’s data annotation capabilities to teams of all sizes and industries and troubleshoot issues with their datasets.
Are you an innovative and driven problem-solver with a passion for engineering and have exceptional customer service skills? Scale is seeking talented Forward Deployed Engineers (FDEs) to embark on a transformative journey with our customers, helping them unlock their full potential and accelerate their growth and adoption of Scale’s platform.
As a Forward Deployed Engineer, you’ll have the unique opportunity to work side-by-side with Scale’s customers in a highly dynamic and collaborative environment. You’ll be an integral part of our customers’ technical teams, shaping their daily operations and working directly within their codebase. You’ll meet with our customers regularly onsite and be responsible for their entire data pipelines from hardware and sensor configuration to data processing and transformations. By providing bespoke integration and platform readiness support tailored to each customer’s distinct needs, you’ll be able to make a tangible impact on their business.
This role will be a part of Scale’s Field Engineering team that supports Scale’s most strategic customers. You will collaborate closely with various stakeholders at Scale including product and engineering teams to contribute valuable insights to enhance our products and services, and ultimately drive customer satisfaction, and consumption of Scale’s platform. If you love leading customer teams by designing and delivering customized solutions, providing hands-on support, and working on some of the most difficult challenges in autonomous driving this is the role for you!
Note: Candidate needs to be located in Detroit, MI.
You will:
- Have an In depth understanding of customer hardware and sensor configuration. Ability to troubleshoot, design, and recommend specific hardware solutions to optimize raw data capture.
- Own, document, troubleshoot, and optimize the customer’s entire data pipeline including complex data transformations and processing from raw sensor capture to model ingestion.
- Work in all your development environments by writing and debugging code directly in your codebase. They will have the same level of access as a customer’s engineers.
- Meet regularly with customer teams onsite (strong preference) and virtually to collaborate cross functionally with all teams responsible for their data pipeline
- Be the technical point of contact for all data related questions and troubleshooting
- Interface directly with Scale teams for proper data ingestion
Ideally you have:
- Ideal candidates would have experience doing the type of work required as an IC or in Academia before
- We expect candidates will have 2-5 years of experience before this role
- Comfortable working in data processing and transformation
- Comfortable with localization and state estimation
- Comfortable working directly with AVs and Autonomous Driving Hardware (LIDAR)
- Experiences in Python, C++ and/or Typescript
- Experiences in OpenCV
- Experiences in MongoDB or other non-relational DBs
Nice to haves:
- Previous experiences working directly with enterprise customers
- Effective and clear communication abilities
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 accommodation[email protected]. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.
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