Applied ML Engineer - AI/ML Evaluation & Simulation

Washington, WA, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Engineering
  • Technical Support
  • Evaluation
  • Workflow
  • Language Models
  • Research
  • Computer Science
  • Python
  • Java
  • Swift
  • Generative Artificial Intelligence (AI)
  • Collaboration
  • Communication
  • Machine Learning (ML)
  • Data Science
  • Training
  • PyTorch
  • TensorFlow
  • Artificial Intelligence

Summary

We're building the next generation of AI evaluation systems - and we're looking for a\\nmotivated early-career engineer who's excited to work at the intersection of ML,\\nsoftware, and product. You'll join a team focused on making AI systems - including\\nLLMs and agentic AI - more measurable, testable, and trustworthy in real-world\\nscenarios.\\n\\nThis 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.\n\nThis is a great opportunity for someone early in their career to work with cutting-edge AI\ntechnologies in a high-impact, supportive environment. You'll gain experience working\nwith large-scale ML systems, learn best practices in applied AI, and grow your skills\nacross engineering, product, and research.

Bachelor's or Master's degree in Computer Science, Machine Learning, or related field\nStrong programming skills in Python or another modern language (e.g., Java, Swift,\nGo)\nBasic understanding of machine learning principles\nInterest in LLMs, generative AI, or agent-based systems\nCuriosity about how to evaluate and improve real-world AI performance\nStrong collaboration and communication skills

Coursework or internship experience in ML, AI systems, or applied data science\nFamiliarity with training or evaluating models (even via coursework or personal\nprojects)\nExposure to tools like PyTorch, TensorFlow, or Hugging Face\nInterest in AI observability, behavior simulation, or synthetic data\nPassion for working cross-functionally in fast-moving, exploratory teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: 392d5a979b4d2e84f4f4ba1473e61ea2
  • Posted 22 hours ago
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