About The Position

We're building the next generation of AI evaluation systems - and we're looking for a motivated early-career engineer who's excited to work at the intersection of ML, software, and product. You'll join a team focused on making AI systems - including LLMs and agentic AI - more measurable, testable, and trustworthy in real-world scenarios. This is a hands-on, collaborative role ideal for someone with a strong foundation in software engineering and machine learning, and an eagerness to grow by building tools and systems that help evaluate advanced AI behavior at scale. As an Applied ML Engineer on our team, you'll help develop simulation systems, support data tooling, and contribute to evaluation workflows that improve the reliability of modern AI. You'll collaborate closely with experienced engineers and researchers, learning how to instrument, monitor, and analyze model behavior - especially for language models and agent-style systems. This is a great opportunity for someone early in their career to work with cutting-edge AI technologies in a high-impact, supportive environment. You'll gain experience working with large-scale ML systems, learn best practices in applied AI, and grow your skills across engineering, product, and research.

Requirements

  • Coursework or internship experience in ML, AI systems, or applied data science
  • Familiarity with training or evaluating models through coursework or personal projects
  • Exposure to tools like PyTorch, TensorFlow, or Hugging Face
  • Interest in AI observability, behavior simulation, or synthetic data
  • Passion for working cross-functionally in fast-moving, exploratory teams

Responsibilities

  • Develop simulation systems for AI evaluation
  • Support data tooling for AI systems
  • Contribute to evaluation workflows to improve AI reliability
  • Collaborate with engineers and researchers on model behavior analysis
  • Instrument and monitor AI models, particularly language models and agent-style systems

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

Industry

Computer and Electronic Product Manufacturing

Education Level

No Education Listed

Number of Employees

5,001-10,000 employees

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