Machine Learning Engineer **Austin, Texas, United States** **Operations and Supply Chain** **Summary** Posted: **Jun 30, 2025** Weekly Hours: **40** Role Number: **200606214** Imagine what you could do here. At Apple, great ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Are you an enthusiastic Machine Learning Engineer eager to apply your expertise in a fast-paced, innovative tech environment? Join our Global Sourcing & Supply Management (GSSM) Solutions team as a key player in revolutionizing our supply chain. As a Machine Learning Engineer on our core AI/ML team, you will be at the forefront of designing and developing cutting-edge AI/ML models and GenAI applications. You will be working closely with business stakeholders, data engineers, and IT groups closely and take an active role in effectively communicating the recommendations to senior management. Your work will empower strategic and tactical decision-making processes within our supply chain, driving us towards greater efficiency and success. If you thrive in a collaborative environment, are passionate about leveraging AI/ML to solve complex business problems, and are excited about the opportunity to make a significant impact in a dynamic tech industry, we want to hear from you! **Description** - Engage deeply with business teams to identify opportunities and translate the needs into innovative and practical AI/ML & GenAI applications (e.g., chatbots, text summarization, video processing) - Foster close collaboration with engineers and infrastructure partners to implement scalable, robust AI/ML & GenAI applications - Effectively communicate analytical insights to partners and senior leaders, providing clear, actionable recommendations - Stay updated with the latest trends, technologies, and best practices in AI. Regularly research and present new ideas to improve the team's technical capabilities **Minimum Qualifications** + Bachelors degree in Computer Science, Statistics, Applied Math or a related field + PhD/MS in Computer Science, Statistics, Applied Math or a related field + 7+ years of industry experience **Preferred Qualifications** + Strong problem-solving skills and the ability to tackle novel challenges, combined with strong communication and interpersonal capabilities + Proven experience with modern deep learning frameworks, e.g., PyTorch, TensorFlow + Hands-on experience working with transformer-based architectures, e.g., GPT, BERT + Hands-on experience with RAG, LLM fine-tuning + Familiarity with GenAI frameworks and tools, e.g., LangChain + Solid understanding of foundational ML concepts including supervised, unsupervised and reinforcement learning + Experience with model deployment pipelines and serving GenAI models in production + Experience working in Supply Chain, Operations, or a related field + Ability to operate independently and lead without authority 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) . Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation. Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) . Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more . Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you're applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.