Senior Machine Learning Engineer (Search)

The goal of Maps Search team is to take Apple's Maps to the next level of intelligence and accuracy using machine learning and artificial intelligence techniques. Engineers and scientists on our team work on a wide spectrum of approaches to improve search experiences on Apple Maps.

In this role, some of the projects you will contribute to include but are not limited to:

• Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search

• Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.

• Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.

• Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!

• Develop and optimize Machine Learning algorithms to handle key issues in local search: query understanding, intent modeling, ranking and semantic search

• Design and develop tools, processes and analytics for backend data-extraction pipelines - along with performing hands-on analyses to answer hard hypotheses/questions.

• Collaborate with various teams (e.g., infrastructure, quality, data) to develop exciting features and contribute towards our mission of best search experience to our end-users.

• Develop and mentor aspiring applied scientists / engineers to expand their scope and have a big impact. Be part of building a world class search team!

Do you have experience in Machine learning libraries?, Do you have a Master of Science?, Ph.D in computer science or equivalent field with 7+ years of industry experience.

Expertise and experience in various facets of machine learning and natural language processing, such as classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling and ranking

Practical understanding of the mathematics behind modern machine learning, linear algebra and statistics.

Good knowledge of big data processing, prior experience with Hadoop, Spark, Hive is highly desired.

Proven expertise in applying Generative AI & Large Language Models (e.g., prompt engineering, model fine-tuning) to search or NLP tasks.

Prior experience in consumer facing product is desired.

Prior team lead experience is desired.

Minimum Qualifications

MS in computer science or equivalent field with 7+ years of industry experience

Proven record in delivering end-user facing Machine Learning driven products

Strong programming experience in one or more of the following: Java, C++, Python

Knowledge and experience with one of Tensorflow/Pytorch/Jax frameworks.

Excellent interpersonal and communication skills - working independently and/or in small teams

Attention to detail, data accuracy and quality of output.

4.14.1 out of 5 stars San Francisco Bay Area, CA $212,000 - $318,400 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 $212,000 and $318,400, 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.