As a Machine Learning Engineer at Apple, you will be part of a team focused on building evaluation systems for next-generation AI experiences. Your work will involve developing scalable infrastructure and intelligent evaluators to enhance the quality of large language models and multimodal AI systems. You will collaborate closely with ML researchers, software engineers, and product teams to translate research into production-ready solutions. This role requires a strong foundation in engineering and a passion for solving complex problems in AI and software engineering.

• MS or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 1–2 years of industry experience, or equivalent academic or internship experience, developing machine learning or AI solutions.
• Proficiency in Python and familiarity with C++ or another object-oriented programming language.
• Experience with one or more machine learning frameworks such as PyTorch, TensorFlow, or JAX.
• Understanding of machine learning fundamentals, including supervised learning, model evaluation, and statistical analysis.
• Strong analytical, problem-solving, and communication skills with the ability to collaborate effectively in a team environment.

• Develop machine learning models and evaluation frameworks to improve AI quality.
• Analyze large-scale datasets and model behavior to identify regressions.
• Transform cutting-edge research into production-ready solutions.
• Collaborate with researchers, software engineers, and product teams to design novel evaluation techniques.
• Develop new approaches for benchmarking and improving AI quality.
• Utilize modern engineering practices in software or machine learning projects.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.