As part of Apple's Machine Learning Research organization, we do world-class scientific research and build the technologies that will power future products at Apple. The ML Research Team does world-class research and development across a wide range of domains including understanding and improving ML, addressing bias and fairness in algorithms, privacy and federated learning, embodied and interactive ML systems, computer vision, and more. The techniques and tools we create will impact ML solutions across Apple, which in turn power most of the features we deliver to billions of consumers worldwide. We are looking for highly motivated, result-oriented engineers with a strong background in speech processing and ML engineering to join our team. In this position, you will work with researchers across the Machine Learning Research group to build and explore speechLLMs and spoken dialog systems.

Description:

• Work with researchers on the team to build high-performance and scalable software addressing novel ML research algorithms. Apply solid software engineering skills, leverage experience to deal with the unexpected, explore research software solutions and pave the way to future Machine Learning toolboxes. Be part of a small team dedicated to advancing ML algorithms and techniques
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Preferred Qualifications:

Speech processing (including generative modeling of speech) experience is a plus

PhD in Computer Science (or related fields) or equivalent experience

Expert in Python programming and tensor operations, including https://github.com/rougier/numpy-100

Expert in at least one ML framework (Py Torch preferred but tensorflow or jax are ok as well), including flash-attention, efficient kv-caching, DDP and FSDP.

Hands-on experience in establishing ML benchmarks (data, models, metrics)

Active development in open-source projects and experience with collaborative software development

Experience with CUDA programming, and/or High-Performance Computing and/or distributed computing

Excellent communication skills

Readiness to encounter unforeseen challenges and to solve them

Past research experience

C++ programming is a plus

MLX experience is a plus

Minimum Qualifications:

M.S. in Computer Science (or related fields) or equivalent experience

Expert in Python programming and tensor operations, including https://github.com/rougier/numpy-100

Expert in at least one ML framework (Py Torch preferred but tensorflow or jax are ok as well), including flash-attention, efficient kv-caching, DDP and FSDP.

Hands-on experience in establishing ML benchmarks (data, models, metrics)

Involvement with open-source projects and experience with collaborative software development

Excellent communication skills

Readiness to encounter unforeseen challenges and to solve them

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 .

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 $147,400 and $272,100, 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. 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.