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Senior/Staff Applied AI Engineer, Agents

Scale AI
Full-time
On-site
New York
$216,000 - $216,000 USD yearly
Overview

Senior/Staff Applied AI Engineer, Agents

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Scale AI . At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the development of autonomous AI agents in frontier labs through agentic data and evaluations, paving the road to Artificial General Intelligence (AGI). About The ACE Team

The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities, and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About The Role

As a Senior/Staff Applied AI Engineer on the ACE team, you’ll play a crucial role bridging state-of-the-art generative AI research, practical agent development, and the specialized data required to advance agentic systems. Responsibilities

Develop frameworks and tools to benchmark and evaluate advanced agent capabilities. Construct realistic environments for training and evaluating autonomous agents. Design agent-focused data programs leveraging supervised fine-tuning (SFT) and reinforcement learning (RL) methodologies. Create robust data pipelines and novel agentic data types from diverse environments, including code repositories, web browsers, and computer systems. Collaborate closely with customers to understand requirements, guide model development, and achieve product objectives. Implement and adapt popular open-source agent libraries and benchmarks using proprietary datasets and models. Qualifications

Min. 5+ years of practical experience building AI applications for real-world use cases. Strong engineering and AI fundamentals, supported by a Bachelor’s and/or Master’s degree or equivalent experience in Computer Science, Machine Learning, AI, or a closely related field. Deep understanding of modern deep learning methods, LLM technologies, and data-centric AI methodologies. Proficiency in Python, with experience writing, testing, and debugging code using standard data science libraries (e.g., NumPy, Pandas). Previous experience in customer-facing roles, effectively translating complex requirements into actionable development goals. Passion for solving ambiguous, complex technical challenges using cutting-edge research. Nice-to-haves

Hands-on experience developing AI applications within the modern Generative AI stack (OpenAI APIs, commercial or open-source LLMs). Experience building autonomous agents that leverage external tools, produce structured outputs, and interact with various environments. Familiarity with agent benchmarking datasets such as SWE-Bench, tau-bench, and OS-World. Compensation and Benefits

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The base salary range for this full-time position in the locations of San Francisco, New York, Seattle is $216,000—$270,000 USD. Your recruiter can share more about the specific salary range for your location during the hiring process, and confirm whether the role will be eligible for equity grant. Benefits include comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Equal Opportunity and Accommodations

We are 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 providing reasonable accommodations to applicants with disabilities. If you need assistance during the application or recruiting process due to a disability, please contact accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities and sharing with our affiliates, in accordance with our privacy policy. Details

Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Software Development

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