The point where experts and best companies meet
Apple Applied ML Engineer – AI/ML Evaluation & Simulation United States, Washington, Seattle 453678606
Today
Share
We’re building the next generation of AI evaluation systems — and we’re looking for amotivated 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 — includingLLMs and agentic AI - more measurable, testable, and trustworthy in real-worldscenarios.
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 reliabilityof modern AI. You’ll collaborate closely with experienced engineers and researchers,learning how to instrument, monitor, and analyze model behavior — especially forlanguage models and agent-style systems.This is a great opportunity for someone early in their career to work with cutting-edge AItechnologies in a high-impact, supportive environment. You’ll gain experience workingwith large-scale ML systems, learn best practices in applied AI, and grow your skillsacross engineering, product, and research.
- Contribute to systems that simulate interactive behaviors (including LLM-driven
- agents)
- Help build tools to support dataset generation and evaluation workflows
- Assist in developing pipelines for structured insights from model behavior
- Collaborate with teammates to debug and improve evaluation systems
- Write clean, testable code to support scalable and reliable infrastructure
- Learn how to define metrics that connect model behavior to real-world outcomes
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, or related field
- Strong programming skills in Python or another modern language (e.g., Java, Swift,
- Go)
- Basic understanding of machine learning principles
- Interest in LLMs, generative AI, or agent-based systems
- Curiosity about how to evaluate and improve real-world AI performance
- Strong collaboration and communication skills
- Coursework or internship experience in ML, AI systems, or applied data science
- Familiarity with training or evaluating models (even via 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
These jobs might be a good fit
