Sr. Machine Learning Engineer

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.

Description

Leverage and enhance the latest advancements in machine learning and software engineering to effectively contribute to the successful delivery of generative experiences. Develop world-class evaluation techniques to ensure the accurate measurement and calibration of model responses. 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. Mentor aspiring applied scientists and engineers to broaden their horizons and amplify their impact. Contribute to the formation of a world-class team!

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

Minimum 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

Pay & Benefits

At 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 $216,200 and $324,800, 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. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.