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 TeamThe 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 RoleAs 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.
You will:
- 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
Ideally you’d have:
- Min. 5+ years of practical experience building AI applications for real-world use cases.
- Strong engineering and AI fundamentals, supported by a Bachelors’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.
- Proven 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 packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: 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.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We 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 [email protected]. 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.
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What We Do
Scale accelerates the development of AI applications by helping machine learning teams generate high-quality ground truth data. Our advanced LiDAR, image, video and NLP annotation APIs allow machine learning teams at companies like OpenAI, Lyft, Pinterest, and Airbnb focus on building differentiated models vs. labeling data.
