AIML - Machine Learing Engineer, MLR

Key Skills

Aartificial intelligence, CUDA kernels, Effective communication skills, High performance computing- HPC, JAX framework, Machine learning techniques, PyTorch, TensorFlow

Job Description

We have more ideas than we have people, and it is critical for our team to rally together to grow a shared research agenda. The primary objective of a Research Engineer is to accelerate this shared research agenda. As our organization matures, this shared agenda will build out a set of core competencies and provide a foundation for future research projects.

Minimum Qualifications

• We have more ideas than we have people, and it is critical for our team to rally together to grow a shared research agenda. The primary objective of a Research Engineer is to accelerate this shared research agenda. As our organization matures, this shared agenda will build out a set of core competencies and provide a foundation for future research projects.
• Expert in Python programming and experience with PyTorch, JAX and/or TensorFlow.
• Experience with distributed computing
• Experience maintaining an open-source project
• Excellent communication skills
• Experience and passion to circumvent unexpected roadblocks
• Past research experience is a plus
• Experience with CUDA programming, and/or High-Performance Computing is a plus

Preferred Qualifications

• Develop and maintain machine learning infrastructure for our ongoing efforts. Most importantly, we need to support a wide variety of datasets, develop a scalable and flexible training infrastructure and support new features as they increase in priority during the course of research.
• Accelerate our research efforts through experimentation and comprehensive evaluation of model performance.
• Become our resident expert on the machine learning infrastructure at Apple. Investigate and understand various machine learning infrastructures that we may wish to adopt for MLR.
• Advise teammates within MLR about new technologies both within and external to Apple for performing machine learning research.

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 $175,800 and $264,200, 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.