What are the responsibilities and job description for the AIML - Platform Engineering Manager, MLPT position at Apple?
Summary
Posted: Jan 9, 2023
Weekly Hours: 40
Role Number:200441171
Join us and help build Machine Learning experimentation platform that enables the next generation of intelligent experiences in Apple’s products and services. Work with some of the best ML and distributed system engineers to take MLOps at Apple to the next level. We are looking for an engineering manager in platform engineering who is experienced in leading teams and building scalable cloud platform and services. The ideal candidate has solid backend and cloud infrastructure domain knowledge, passion in designing and developing highly scalable and available systems, and a track record of managing and mentoring other engineers. You will lead a team of world-class software engineers and play a crucial role building and evolving our experimentation platform.
Key Qualifications
- 3 years of as tech lead or engineering manager
- 8 years of experience developing and maintaining data intensive systems
- Proven track record of delivering high impact projects through partnership across organization boundaries with product, design and infrastructure teams
- Experience of mentoring and coaching software engineers
- Deep knowledge in backend (GraphQL, SQL/NoSQL databases, ElasticSearch, Kafka etc) and cloud (AWS, GCP, Azure, K8s etc) technologies
- Ability to clearly and concisely communicate about technical and architectural problems and work with key partners to iteratively solve the problems
Description
Our group is part of Apple’s internal ML platform that enables ML teams to manage their ML project life cycle - data engineering, labeling, training, online and offline evaluation, experimentation and much more. You will help lead a platform team to build highly scalable infrastructure and services to expose those features to various Apple product and service teams. Within our group, you and your team will be collaborating closely with design, infrastructure, ML engineering and project management teams to brainstorm, prototype and bring features into production. You and your team will take full ownership of critical services and infrastructure of the platform. This position maybe based in either Cupertino or Seattle.
Education & Experience
Bachelors in Computer Science, related field or equivalent experience
Additional Requirements
- Experience in machine learning is plus but not required
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 $155,500 and $269,000, 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.
Salary : $155,500 - $269,000
AIML - Sr Engineering Program Manager, NLU Evaluation
Apple -
Seattle, WA
AIML - Senior ML Engineering Manager, Evaluation & Analytics
Apple -
Seattle, WA
AIML - Sr Engineering Program Manager, Responsible AI
Apple -
Seattle, WA
