Applied AI Engineer, Enterprise GenAI

• Own, plan, and optimize the AI behind Enterprise customer’s deepest technical problems.
• Leverage Scale Generative Platform (SGP) to build advanced AI agents including multimodal functionality and tool-calling.
• Gather business requirements and translate them into technical solutions.
• Collaborate regularly with customer teams onsite and virtually, working cross-functionally with teams responsible for data and ML needs.
• Push production code in multiple development environments, writing and debugging code in both customer’s and Scale’s codebases.
• Multi-task and learn new technologies quickly.

Ideal Qualifications:

• Passion for solving complex technical problems using state-of-the-art research and AI to meet client business goals.
• Strong engineering background (Bachelor’s degree in Computer Science, Mathematics, or equivalent).
• Deep familiarity with data-driven approaches to iterate on machine learning models.
• Experience with cloud technology stacks (AWS or GCP) and developing ML models in cloud environments.
• Proficiency in Python with common libraries (numpy, pandas).

Nice to Haves:

• Strong knowledge of software engineering best practices.
• Experience building applications using Generative AI in production use cases.
• Familiarity with state-of-the-art large language models (LLMs) and their strengths/weaknesses.

Compensation includes base salary ($180,600 6$225,750 USD for San Francisco, New York, Seattle), equity, benefits such as health coverage, retirement benefits, learning stipend, PTO, and possibly commuter stipend.

About Scale AI:

• Mission: Develop reliable AI systems for critical decisions.
• Products provide high-quality data and full-stack technologies powering leading models.
• Clients include Meta, Cisco, government agencies including U.S. Army and Air Force.
• Inclusive equal opportunity workplace committed to accommodations for disabilities.

Additional notes:

• 90-day waiting period policy before reconsidering candidates for the same role.
• Privacy policy governs personal data collected during application process.

Location: San Francisco, CA; New York, NY.