Machine Learning & Evaluations Manager

15 Minutes ago • All levels • $228,100 PA - $393,800 PA
Research Development

Job Description

Apple's Special Projects team is seeking a highly skilled Machine Learning Engineering Manager to lead the development and evaluation of novel customer-facing conversational features. These features leverage the multimodal capabilities of state-of-the-art foundation models. The role involves managing a team, collaborating with cross-functional stakeholders on evaluation strategies, overseeing data collection and annotation, and developing prototypes into production systems.
Good To Have:
  • PhD in Computer Science, Machine Learning or a related technical field
  • 4+ years of hands-on industry experience with Machine Learning systems
  • Proficiency in training and evaluation of foundation models and frameworks
  • A track record of publications or technical presentations in Machine Learning journals or conferences
  • Excellent at communication and cross functional collaboration
Must Have:
  • Manage a team working to build customer experiences by evaluation and training of cutting edge ML models
  • Work with your team and cross organizational stakeholders on evaluation strategies to translate product requirements to objective metrics
  • Shepherd data collection, annotation and evaluation efforts to ensure rapid and measurable progress
  • Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems
  • Degree in Computer Science or other STEM majors or equivalent experience
  • Experience managing and building teams shipping customer facing products
  • Excellent at communication and cross functional collaboration
  • Experience with the use and evaluation of foundation models
  • Experience in Python and ML frameworks (Pytorch or Tensorflow)
Perks:
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Range of discounted products and free services
  • Reimbursement for certain educational expenses (including tuition) for formal education related to advancing career at Apple
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
  • Eligibility for discretionary restricted stock unit awards
  • Option to purchase Apple stock at a discount through Employee Stock Purchase Plan
  • Eligibility for discretionary bonuses or commission payments
  • Relocation assistance

Add these skills to join the top 1% applicants for this job

cross-functional
game-texts
html
prototyping
pytorch
python
tensorflow
machine-learning

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other’s ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something. The Special Projects team at Apple is developing novel customer-facing conversational features that leverage the multimodal capabilities of state-of-the-art foundation models. We are looking for a highly skilled Machine Learning Engineering Manager to lead the development and evaluation of such features in collaboration with cross-functional stakeholders.

In this role, you will:

  • Manage a team working to build customer experiences by evaluation and training of cutting edge ML models
  • Work with your team and cross organizational stakeholders on evaluation strategies to translate product requirements to objective metrics
  • Shepherd data collection, annotation and evaluation efforts to ensure rapid and measurable progress
  • Collaborate with key stakeholders in hardware engineering, software engineering and design to develop prototypes and evolve them into production systems
  • Degree in Computer Science or other STEM majors or equivalent experience
  • Experience managing and building teams shipping customer facing products
  • Excellent at communication and cross functional collaboration
  • Experience with the use and evaluation of foundation models
  • Experience in Python and ML frameworks (Pytorch or Tensorflow)
  • PhD in Computer Science, Machine Learning or a related technical field
  • 4+ years of hands-on industry experience with Machine Learning systems
  • Proficiency in training and evaluation of foundation models and frameworks
  • A track record of publications or technical presentations in Machine Learning journals or conferences
  • Excellent at communication and cross functional collaboration

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 $228,100 and $393,800, 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 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 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

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Apple accepts applications to this posting on an ongoing basis.

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