Applied ML Scientist, Shortcuts

Key Skills

Aartificial intelligence, C Programming, C++, Deep Learning, Design, Effective communication skills, Machine learning techniques, Python Programming, PyTorch, Writing

Job Description

In this role, you will bootstrap and lead machine learning research and application in our group and drive model development and experimentation from concept to production. Responsibilities will include training large scale models on distributed backends, deployment of compact neural architectures efficiently on device, and addressing safety challenges to make our models robust and aligned with human values. As a creative problem solver who excels when faced with new ambiguous problems, you will help us shape our roadmap and solve significant technical challenges in new spaces.

An ideal candidate for this role will have industry experience in program synthesis and Large Language Models (LLMs), as well as knowledge of other contemporary modeling problems (e.g., Conversational Agents, Sequential Decision Making, Reinforcement Learning, Autonomous Systems, Human Preference Learning), along with a proven track record of shipping products and experiences. You will work across teams and organizations spanning a variety of disciplines, collaborating closely with machine learning researchers, software engineers, hardware and design teams.

Minimum Qualifications

• 3+ years of industry experience with strong machine learning fundamentals
• An advanced degree (Master's) in Computer Science, Artificial Intelligence, Machine Learning, or a related experience is required
• Strong analytical and problem solving skills
• Strong programming skills in Python, C and C++, proficiency in using machine learning toolkits, e.g., PyTorch
• Hands-on experience with building Deep Learning applications

Preferred Qualifications

• You’re aware of the challenges associated to the transition of a prototype into a final product
• You've demonstrated leadership in both applied research and development
• Interest in working with design partners in defining novel HCI concepts aided by ML
• Enjoys keeping up-to-date with cutting-edge machine learning research including optimization methods and modeling techniques
• Excellent written and verbal communications skills, comfortable presenting research to large audiences, and able to work hands-on in multi-functional teams
• Bonus points if you have experience training on clusters, deploying complex ML models on edge devices, competency in techniques such as quantization and weight pruning

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 $143,100 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.