Senior Machine Learning Engineer (Generative AI)

Apple Inc.
Cupertino, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 272K

Job location

Cupertino, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Big Data
Cloud Computing
Computer Programming
Computer Engineering
Graph Database
Machine Learning
TensorFlow
Azure
PyTorch
Large Language Models
Spark
Generative AI
Scikit Learn
Information Technology
Machine Learning Operations

Job description

We are looking for a Machine Learning Engineer or scientist who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies to improve data quality or deliver user facing features. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.

Requirements

Do you have experience in Research?, Do you have a Master's degree?, In this role, you'll work alongside world-class engineers and scientists to develop innovative AI/ML solutions that enhance user experiences. The ideal candidate takes initiative, demonstrates ownership from concept to production, is not afraid to dive deep into data, and is hands-on in building robust, real-world solutions. They thrive in a fast-paced environment and bring resilience and curiosity to continually improve in pursuit of excellence., Masters or PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.

Experience shipping a complex AI system, including research and leveraging generative AI models

Excellent written and oral communication skills

Minimum Qualifications

5+ years of experience in building large-scale machine learning systems

2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, MLLMs), computer vision or knowledge graph

Experience working with large-scale and real-world datasets

Metrics-driven and passionate about delivering models that produce high-quality, user-facing results

Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn

Strong knowledge of Spark or other related big data technologies

Familiarity with cloud platforms such as AWS, GCP, or Azure

Benefits & conditions

4.14.1 out of 5 stars Cupertino, CA $181,100 - $272,100 a year, Pulled from the full job description

  • Employee stock purchase plan
  • Health insurance
  • Retirement plan
  • Dental insurance
  • RSU, 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 $181,100 and $272,100, 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.

Apply for this position