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Senior/Staff Machine Learning Research Engineer, General Agents, Enterprise GenAI

Scale AISan Francisco, CA; New York, NYApplications Platform Engineering
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Salary
Not listed
Job type
Full-time
Posted
10 Feb 2026
Status
Open · checked 7d ago

About this role

Scale AI is seeking a Senior or Staff Machine Learning Research Engineer to join the General Agents team in San Francisco, CA or New York, ND. This engineering position suits professionals with extensive background in building scalable machine learning systems who want to bridge frontier agent research with real-world enterprise deployments.

Role Overview

The Senior/Staff Machine Learning Research Engineer operates within the General Agents group of the Enterprise organization. The individual designs, builds, and deploys production-ready artificial intelligence agents that tackle complex corporate problems. Responsibilities span the complete agent lifecycle, including system design, model integration, evaluation, deployment, and ongoing iteration across diverse customer environments.

Key Responsibilities

Build comprehensive agent systems integrating language model reasoning, memory, tool use, and control logic for practical enterprise use cases.
Construct scalable and reliable architectures capable of deployment across multiple customers with distinct data parameters and technical constraints.
Establish evaluation frameworks, dedicated datasets, testing environments, and performance metrics to track agent reliability and business value in production settings.
Partner closely with product teams, customers, and data annotators to translate organizational requirements into dependable agent designs.
Transform cutting-edge agent methodologies like planning, multi-step tool use, and multi-agent patterns into sustainable, observable systems.
Handle deployment, ongoing monitoring, failure analysis, and continuous system improvement driven by real-world usage data.
Shape technical direction and architectural standards for general agent development, particularly at the Staff level with broader leadership scope.

Requirements

Minimum of five years of hands-on experience designing and launching machine learning or artificial intelligence systems for production environments.
Strong engineering foundation backed by a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent practical background.
Thorough comprehension of modern large language models, context optimization, prompt engineering, and agentic design principles.
Demonstrated proficiency in Python for writing testable, production-ready, and maintainable software code.
Experience connecting machine learning models with external services, databases, application programming interfaces, and tools.
Capacity to navigate ambiguous problem domains by balancing experimental research approaches with practical product limitations.
Excellent communication abilities and comfort collaborating directly in customer-facing and cross-functional settings.

Nice to Have

Practical experience constructing artificial intelligence agents utilizing modern generative technology stacks, commercial APIs, or open-source foundation models.
Familiarity with agent orchestration layers, workflow systems, planners, and multi-agent configurations.
Background in monitoring, evaluation, and observability for production-level language model systems.
Experience deploying and managing machine learning architectures in cloud environments at scale.
Knowledge of foundation model fine-tuning techniques such as supervised fine-tuning, low-rank adaptation, and reinforcement learning with verifiable rewards.
Genuine interest in defining the future trajectory of general-purpose enterprise agents.

Skills and Tools

Python
Large Language Models (LLMs)
Cloud Environments
APIs and Databases
Evaluation and Monitoring Frameworks

Salary and Benefits

Eligible roles at Scale AI receive a compensation package containing base salary, equity, and comprehensive benefits. For full-time positions located in San Francisco, New York, or Seattle, the base salary range is $207,200 to $259,000 USD. Additional perks include comprehensive medical, dental, and vision health coverage, retirement programs, a learning and development stipend, commuter benefits, and generous paid time off.

About the Company

Scale AI acts as the data foundation for artificial intelligence, helping companies and government bodies build reliable production applications. The organization partners with major industry leaders and public sector agencies to accelerate AI initiatives through data annotation platforms, generative solutions, and enterprise capabilities. Scale AI is committed to being an inclusive, equal opportunity workplace.

How to Apply

Interested candidates should visit the official Scale AI careers page to submit an application for this position.

Skills and tech stack

PythonLLM

Questions candidates ask

What locations are available for this role?

This position is located in San Francisco, California or New York, New York.

How many years of experience are required?

Candidates must have 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.

What is the base salary range for this position?

The base salary range for full-time positions in San Francisco, New York, and Seattle is $207,200 to $259,000 USD.

What benefits are included with the job?

Eligible employees receive comprehensive health, dental, and vision coverage, retirement benefits, learning and development stipends, generous paid time off, commuter stipends, and equity-based compensation subject to board approval.

What is the policy for reapplying if previously considered?

Scale AI requires a 90-day waiting period before reconsidering candidates for the same role to ensure a fair and thorough evaluation process.

Ready to apply?

The application is on the official Scale AI careers page.

Apply on company site