We're looking for an Applied AI Engineer to join our Enterprise Engineering team. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins.
Key responsibilities include:
- Owning, planning, and optimizing the AI behind our Enterprise customer's deepest technical problems
- Leveraging SGP to build the most advanced AI agents across the industry, including multimodal functionality, tool-calling, and more
- Gathering business requirements and translating them into technical solutions
- Collaborating cross-functionally with all teams responsible for their data and ML needs
- Pushing production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases
Ideally, you'll have a strong engineering background, a deep familiarity with a data-driven approach when iterating on machine learning models, and experience working with cloud technology stacks (e.g. AWS or GCP).
Nice to have includes experience building applications taking advantage of Generative AI in real, production use cases, familiarity with state-of-the-art LLMs, and their strengths/weaknesses.
This role may be eligible for additional benefits such as a commuter stipend.
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