Machine Learning Engineer

Apple

  • San Diego, CA
  • Permanent
  • Full-time
  • 14 days ago
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. With the explosive growth of Apple products we are creating new opportunities for individuals to work on the most exciting new technologies at Apple The Product Operations machine learning team is seeking an Applied Scientist in data mining and machine learning to conduct research in anomaly detection and automated machine learning to address domain-specific challenges in manufacturing multi-modal data that includes time-series, graph and tabular data Research scientists on our team drive projects from ideation to validation, with the goal of improving our core manufacturing ML capabilities. They support ML software engineers in translating successful approaches to production code, and train MLEs to apply them to factory use cases.DescriptionThe Apple Operations team ensures that ground breaking designs become industry-leading products. In this role you will join a small team at the heart of our manufacturing ML capabilities. Our R&D team is responsible for the core ML libraries that engineers use to train models for factory deployment. We improve core capabilities through applied research, with partners in academia and across Apple's research org. As an Applied Scientist in data mining and machine learning, your responsibility will be to drive your research from ideation to impact. You will work closely with manufacturing machine learning engineers around the world to understand the challenges and opportunities in the field. You'll leverage your research experience to propose and execute on promising approaches. You will have the opportunity to collaborate with internal and academic research partners and contribute to our org's comprehensive research strategy. On our team, we integrate successful research into robust pipelines that our partner teams leverage when training models. Successful applicants are self-motivated, experienced researchers, who are quick to build relationships and want to do impactful applied research. Exceptional candidates will demonstrate collaborative code practices, the ability to write and review production-quality code, and interest in training MLEs to apply novel approaches in the field.Minimum Qualifications
  • Expertise in independently designing and implementing ML experiments - establishing appropriate metrics, benchmarks, milestones, and communicating results to stakeholders with varying levels of technical background
  • Ph.D. in Machine Learning from CS or ECE
  • Publication record commensurate with seniority
Preferred Qualifications
  • Track record of successful research and interest in one or more of the following: weakly- and semi-supervised machine learning, domain adaptation, data efficiency, knowledge distillation, imbalanced classification and regression, tabular foundation models, etc.
  • For new-grad applicants, at least one first author publication in top machine learning / data mining conferences including ICML, NeurIPS, ICLR, KDD, CIKM, ICDM, SDM, The Web Conference, etc.
  • Excellent communication and presentation skills
  • Demonstrable collaborative software development skills, including design review and code review
Pay & BenefitsAt Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $210,100, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.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.

Apple