Job Title

Role Number: 200616700-3337 Summary Weu2019re building the next generation of AI evaluation systems u2014 and weu2019re looking for amotivated early-career engineer whou2019s excited to work at the intersection of ML,software, and product. Youu2019ll join a team focused on making AI systems u2014 includingLLMs and agentic AI - more measurable, testable, and trustworthy in real-worldscenarios.This is a hands-on, collaborative role ideal for someone with a strong foundation insoftware engineering and machine learning, and an eagerness to grow by building toolsand systems that help evaluate advanced AI behavior at scale. Description As an Applied ML Engineer on our team, youu2019ll help develop simulation systems,support data tooling, and contribute to evaluation workflows that improve the reliabilityof modern AI. Youu2019ll collaborate closely with experienced engineers and researchers,learning how to instrument, monitor, and analyze model behavior u2014 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. Youu2019ll gain experience workingwith large-scale ML systems, learn best practices in applied AI, and grow your skillsacross engineering, product, and research. Minimum Qualifications + Bacheloru2019s or Masteru2019s 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 Preferred Qualifications + 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 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (.