Machine Learning Engineer, Applied Machine Learning

Summary

Posted: Apr 24, 2024
Weekly Hours: 40
Role Number:200541348

Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Developer experience platform team is looking for an extraordinary Machine Learning engineer to join our team. You will help design and implement our machine learning strategy to take our developer experience platform to the next level and help accelerate app development inside Apple. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.

Key Qualifications

• Solid understanding of machine learning, deep learning (including LLMs) and natural language processing.
• Preparing and collecting data for training/analysis and ensuring data quality.
• 5+ years proven programming skills using standard ML tools such as C/C++, Python, PyTorch, Tensorflow, HuggingFace, etc.
• Hands-on experience working (training, fine-tuning, optimizing, deploying) with large language models
• Hands-on experience applying common machine learning optimization techniques, like quantization and distillation, to reduce the resource consumption and/or eliminate latency
• Experience with vector stores, ranking and retrieval techniques is a plus.
• Experience in applying ML techniques in developer productivity is a plus

Description

Developer Experience Platform team provides frameworks, services and developer tools to internal engineering teams in Apple to accelerate their SDLC. We are working on a Generative AI based developer experience platform leveraging LLMs for internal use and assist our app development team. You will work data scientist, Machine Learning engineers, Software engineers to deliver and end to end AI enabled solution for this platform. You will work with existing and new model evaluate them, fine tune them come up with use cases to solve business problems.

Education & Experience

Bachelors or MS in Computer Science or equivalent with Artificial Intelligence, Machine Learning, Data Science or related field

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 $138,900.00 and $256,500.00, 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 take affirmative action to ensure 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.