H-1B1 Singapore Visa Machine Learning Manager Jobs

INTRODUCTION

As a ML Engineering Manager for Foundation Model Runtime, you will manage and lead top flight ML engineers to deliver high performance inference solutions for generative AI features that power tentpole Apple features. You will work across organizations to connect product teams, model teams, FM services, cloud infrastructure, and your own team to deliver carefully engineered, high performance solutions aligned with critical milestones. You will also guide the team to architect for maximum leverage in the ML space, helping the team adapt the latest innovations in generative AI inference.

DESCRIPTION

Your role as Engineering Manager will provide support and leadership to incredible ML inference talent to deliver state of the art inference features and performance across Apple. This role offers the opportunity to turn cutting edge inference techniques into carefully crafted engineering solutions that will power both experimentation and production serving of generative AI models across multiple modalities. You will be gauging impact and aligning engineering resources to tackle new hardware and environments, meeting latency, throughput, and quality targets. You will develop technical talent and leadership in your team, and grow your team to meet new inference challenges. You will work cross functionally to set grounded expectations and provide key data that influence AI product development decisions and hardware investments.

Responsibilities

• Balance both technical execution and the long-term vision for the team
• Collaborate effectively with partner and product teams to define goals, set expectations, and shape roadmaps.
• Provide both technical and career mentorship, empowering your team to succeed.
• Strong interpersonal skills are essential for communicating technical complexities clearly to engineering partners, product management teams, and executives across Apple.

MINIMUM QUALIFICATIONS

• Bachelor’s degree or equivalent experience in AI, ML, Mathematics, Computer Science, or a related field.
• 5+ years of experience applying and leading teams that productionize ML models or apply ML inference in areas of search, knowledge, or other AI adjacent areas.
• 3+ years of experience managing ML teams and leading ML development.
• Experience in management of AI accelerator hardware and software infrastructure, ML performance analysis and tuning, transformer architecture and modeling, and algorithms.
• Experience in cross organization collaboration and alignment of goals and priorities with cross functional stakeholders.
• Strong foundational understanding of mathematics behind modern machine learning, including linear algebra and statistics.
• Proven ability to translate requirements from design to implementation, both independently and within larger teams.
• Demonstrated ability to actively manage team performance and take ownership of driving outcomes.

PREFERRED QUALIFICATIONS

• Masters degree in AI, Machine Learning, Computer Science, Mathematics.
• Strong understanding of AI model architecture, including transformers and vision models.
• Experience in model profiling and performance, evaluation, and roofline analysis.

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 $188,200 and $325,500, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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. Learn more about your EEO rights as an applicant.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.