AIML - Senior ML Engineer, Data & ML Innovation

    • Apple, Inc.
  • Seattle, WA
  • Posted 12 days ago | Updated 23 hours ago

Overview

On Site
USD 161,700.00 - 243,300.00 per year
Full Time

Skills

Machine Learning (ML)
Problem solving
Performance monitoring
Data management
Computer science
Objective-C
Data
Innovation
Design
Collaboration
Training
Evaluation
Software deployment
Swift
iOS development
OS X
Python
PyTorch
TensorFlow
Payments

Job Details

Summary

We are seeking an expert Machine Learning Engineer to join our AIML team in building an on-device machine learning platform. As a key member of the team, you will help design and develop infrastructure and work on various ML solutions and models. You'll also have the chance to collaborate with a diverse range of teams and apply your expertise to tackle technical challenges for upcoming products that will delight millions of people. Does this sound exciting? Come join us!

Key Qualifications

Strong background in ML and distributed systemsExperience with on-device ML and system developmentExperience building and maintaining ML infrastructureAbility to work effectively across multiple codebases, teams, and organizations5+ years of professional experience as a software engineer, preferably in machine learning or a related fieldProactive and determined problem-solving skillsExcellent interpersonal skills

Description

We enable teams across Apple to develop ML solutions that power intelligent user experiences. You'll engage various product teams and use your expertise in various ML-based solutions and experiences to address bold technical problems in our next-generation products.Your responsibilities will include: - Designing and building on-device ML infrastructure to enable efficient and effective model training, evaluation, deployment, and performance monitoring- Collaborating with product groups to identify and prioritize machine learning needs and opportunities- Working with Data Scientists and ML Researchers to design and conduct experiments to optimize model performance- Participating in the development of machine learning infrastructure and tools, including model life-cycles, experimentation tracking, and data management

Education & Experience

Bachelor's or Master's degree or equivalent experience in Computer Science or a similar field

Additional Requirements

  • - Development experience at the systems level with Objective-C, Swift
  • - Understanding of iOS, macOS fundamentals and frameworks
  • - Proficiency in Python and ML frameworks such as Pytorch and Tensorflow
  • - Experience with Core ML framework and tools


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 $161,700.00 and $243,300.00, 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.