Senior/Staff Machine Learning Engineer at Scale AI

Compensation

$218,000 – $273,000/yr

Location: New York, New York
Type: Full-time
Level: Principal
Posted: Feb 12, 2026

Description

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join their General Agents team. This role involves designing, building, and deploying production-ready AI agents tailored for enterprise use cases. The engineer will work throughout the entire agent lifecycle, integrating advanced LLM reasoning with practical deployment considerations, focusing on scalability, generalization, and extensive customer deployment.

Required Skills

Python
LLMs
Agentic System Design
Model Integration
Deployment Monitoring
System Architecture

Additional Information

Minimum Education: Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
Required Previous Experiences: 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
Preferred Qualifications: Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
Experience deploying ML systems in cloud environments and operating them at scale.
Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
Interest in shaping the future of general-purpose enterprise agents and their real-world impact.