Join Apple’s Video Computer Vision Team as a Machine Learning Infrastructure Manager
Posted: Jun 21, 2024
Role Number: 200545800
Are you passionate about improving product experiences at Apple? Join the Video Computer Vision (VCV) team, renowned for real-time video analysis and pioneering algorithms. Our innovations include FaceID and vision pro Input (hand and gaze tracking). We are seeking exceptional leaders for our ML Infrastructure & System team.
Role Description
If you have:
- 8+ years of software development experience.
- 3+ years of leading ML infrastructure engineering teams.
- Experience in large-scale data domains: data ingestion, processing, ETL, management, governance, compliance, and tools.
- Familiarity with commercial/open-source storage frameworks and compute platforms (Apache Spark, Apache Flink, Ray).
- Knowledge of analytics databases (Snowflake, Redshift, BigQuery).
- Proficiency in data pipeline and workflow management tools.
- Familiarity with ML principles and frameworks (TensorFlow, PyTorch).
- Understanding of model hosting and sharing platforms (Hugging Face, Weights & Biases, model zoos).
- Strong organizational skills for working on large teams.
- A track record of driving product innovations collaboratively.
- A passion for best practices and strategy development.
- A commitment to operational excellence through automation and engineering.
- A solid background in distributed systems and engineering.
- Exceptional problem-solving skills and ability to thrive in a fast-paced environment.
Key Qualifications
Collaborate cross-functionally:
- Partner with AI researchers and infrastructure teams at Apple to shape our roadmap and execute strategic and tactical operations.
- Lead with vision: Develop tools and platforms for handling multi-model large language models.
- Manage teams effectively: Recruit top talent, provide technical leadership, set clear expectations, and foster a positive work environment.
- Ensure product efficiency: Participate in product design reviews to guarantee the secure use of ML infrastructure.
- Establish engineering excellence: Provide guidance and establish processes for operational sustainability.
Education & Experience
BS and a minimum of 10 years of relevant industry experience.
Pay & Benefits
At Apple, base pay is part of our total compensation package and lies within a range. This role offers progression opportunities as you grow and develop. The base pay for this position ranges from $183,400 to $316,900, and will depend on skills, qualifications, experience, and location.
As an Apple employee, you will also have the option to become an Apple shareholder through our discretionary employee stock programs. This includes:
- Eligibility for discretionary restricted stock unit awards.
- The ability to purchase Apple stock at a discount via the Employee Stock Purchase Plan.
- Comprehensive medical and dental coverage.
- Retirement benefits.
- Discounted products and free services.
- Tuition reimbursement for formal education to advance your Apple career.
- Possible eligibility for bonuses or commission payments, as well as relocation assistance.
Learn more about .
Note: Apple benefit, compensation, and stock programs are subject to eligibility requirements and terms of the applicable plan or program.
Equal Opportunity Employer
Apple is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or legally protected characteristics. Learn more about your as an applicant.
Company Name: Apple
Job Title: Machine Learning Infrastructure Manager