Machine Learning Infrastructure Manager

Key Skills

Aartificial intelligence, Apache Flink, Bash scripting, Infrastructure as code, Python Programming, PyTorch, SPARK Programming, TensorFlow

Job Description

• 8+ years of software development experience.

• 3+ years leading ML infrastructure engineering teams.

• Experience with large-scale data domains, including data ingestion, processing, ETL, management, governance, compliance, and tools.

• Familiarity with commercial and/or open-source storage frameworks and compute platforms such as Apache Spark, Apache Flink, and Ray.

• Knowledge of analytics databases like Snowflake, Redshift, and BigQuery.

• Proficiency in data pipeline and workflow management tools.

• Familiarity with ML principles and experience with frameworks like TensorFlow and PyTorch.

• Understanding of model hosting and sharing platforms such as Hugging Face, Weights & Biases, and model zoos.

• Strong organizational skills and experience working on large multi-functional teams.

• Track record of driving product innovations and opportunities across diverse collaborators.

• Passion for developing best practices and defining effective strategies.

• Commitment to operational excellence through automation and engineering processes.

• Solid background in distributed systems and engineering.

• Exceptional problem-solving skills and ability to thrive in a fast-paced and dynamic 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 forward-looking tools and platforms for handling multi-model large language models.
• Manage teams effectively: Recruit top talent, offer technical leadership, set clear expectations, and foster a positive work environment.
• Ensure product efficiency: Participate in product design reviews to guarantee the efficient and secure use of ML infrastructure.
• Establish engineering excellence: Provide guidance and establish processes for engineering excellence and operational sustainability.

Education & Experience

• BS and a minimum of 10 years relevant industry experience

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 $183,400 and $316,900, 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.