Description

Description

The Siri System SW group at Apple is actively looking for a highly motivated Machine Learning Engineer to contribute to and build the next generation of Siri. The successful candidate will demonstrate deep knowledge of, and hands-on experience, with designing, implementing, and optimizing machine learning algorithms to tackle ambitious problems. Candidate is expected to be proficient in machine learning and deep learning and be comfortable in applying their machine learning background and problem-solving skills to develop high-quality machine learning solutions that contribute to Apple's revolutionary roadmap. As a Machine Learning Engineer in the Siri System SW team at Apple, you will partner with algorithm designers to collaboratively design machine learning based solutions to solve high-impact problems on Apple product(s). The primary responsibilities associated with this role, include algorithm design, implementation and optimization, integrating ground breaking research into production frameworks, and collaborating closely with product teams before and after feature launch.

Responsibilities

• You will work multi-functionally with multiple teams at Apple, drive requirements and deliver the end solution
• You will help evaluate various candidate approaches for optimizing machine learning pipelines for training and inference - these could include (but are not limited to) algorithm tuning, hyper parameter tuning, hardware and software co-design.
• You will write clean, maintainable and production code with appropriate documentation and tests.
• You will debug quality related issues in machine learning pipelines.
• You will contribute to architecture decisions, design reviews and peer code reviews.
• You will be a force-multiplier, by enabling team-members to be more productive

Minimum Qualifications

• Strong programming skills in Python and/or C++ with demonstrated ability in using these languages for machine learning (machine learning) modeling and applied research
• Hands-on experience developing end to end machine learning systems
• Strong problem solving skills and passionate about delivering high-quality products, seeking to solve everyday problems in innovative ways
• Ability to work under tight schedules and deliver under pressure
• Ability to thrive in a collaborative environment and communicate clearly and confidently with partner teams
• Masters or PhD in Computer Science, Machine Learning Engineering or equivalent professional experience

Preferred Qualifications

• Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models and natural language understanding
• Expertise in using machine learning toolkits such as PyTorch, Hugging Face etc.

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 $126,800 and $220,900, 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.

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 .