Sr. Machine Learning Engineer
Role overview
Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users? The Siri and Information Intelligence team is revolutionizing how hundreds of millions of people utilize their devices to access information. As an Applied ML team, we are pushing the boundaries to provide our users with the utmost optimal direct, secure, and privacy-preserving experiences, simultaneously delivering Apple-level design and aesthetics through generative AI techniques. Our team comprises a diverse range of backgrounds, including applied machine learning engineers with a focus on ML and LLM, and experienced distributed systems engineers. As such, we are seeking candidates with applied machine learning experience and strong software engineering skills.
Responsibilities
- check_circle Leverage and enhance the latest advancements in machine learning and software engineering to effectively contribute to the successful delivery of generative experiences.
- check_circle Develop world-class evaluation techniques to ensure the accurate measurement and calibration of model responses.
- check_circle Collaborate with diverse teams, including infrastructure, quality, data, product, and design, to develop innovative features and contribute to the creation of an exceptional search experience for our end-users.
- check_circle Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact.
- check_circle Contribute to the formation of a world-class team!
Basic qualifications
- Bachelors in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field or equivalent work experience
- 6+ years of industry related experience, working in collaborative environments
- Experience with using: PyTorch, TensorFlow, or JAX for training and deploying deep learning models
- Understanding product requirements then translating them into modeling tasks and engineering tasks
- Proficient in at least two programming languages such as: C/C++, Go, Python, Java
Preferred qualifications
- Masters or PhD in the area of Computer Science or equivalent, or a related
- Knowledge and prior experience with some deep learning and GenAI frameworks are desired.
- Building machine-learned models for search relevance ranking query understanding and questioning
- Prior experience in consumer facing product is desired
Benefits
- check_circle At Apple, base pay is one part of our total compensation package and is determined within a range.
- check_circle The base pay range for this role is between $216,200 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
- check_circle Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs.
- check_circle 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.
- check_circle 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.
- check_circle Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Tags & Focus Areas
About Apple
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