Sr Machine Learning Engineer, Proactive at Apple

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Sep, 26

Salary

0.0

Posted On

05 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Search Ranking, Natural Language Processing, Recommender Systems, C++, Python, ML Frameworks, Search Algorithms, Information Retrieval, Jax, TensorFlow, PyTorch, Transformer-based Models, BERT, T5, Prototyping

Industry

Computers and Electronics Manufacturing

Description

We are looking for a hardworking and experienced Machine Learning Engineer to build intelligent search experiences. In this role, you will build intelligent search systems that deeply understand user intent and context to return highly relevant, accurate, and personalized responses. You will develop and deploy machine learning models to shape how users find relevant content or answers, driving better experiences and higher satisfaction! DESCRIPTION As a member of our fast-paced group, you’ll have the unique and great opportunity to shape upcoming products from Apple. We are looking for people with excellent applied machine learning experience and solid engineering skills in creating outstanding intelligent search experiences. This role will have the following responsibilities: - Analyze search ranking and relevance requirements, issues and opportunities - Identify areas of improvement in our search pipeline and lead projects from research to production. - Design, train, and deploy machine learning models to improve search relevance and ranking. - Define evaluation metrics and benchmarks for search quality. - Collaborate with multi-functional teams including: product, design, and data engineering. - Find opportunity and partner with various product teams across the company to apply search technology to new product areas and use cases. MINIMUM QUALIFICATIONS Bachelors in Computer Science, Machine Learning, or a related field 5+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems Strong programming skills in C/C++ or Python, and experience with ML frameworks Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval Excellent communication and collaboration skills PREFERRED QUALIFICATIONS Advance degree in Computer Science, Machine Learning, or a related field Familiarity with NLP/ML tools and packages like Jax,TensorFlow, pyTorch, etc. Experience working with transformer-based models (e.g., BERT, T5) in a search context Prior industry experience on personal search systems Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems

Responsibilities

Design, train, and deploy machine learning models to improve search relevance, ranking, and personalized user experiences. Collaborate with cross-functional teams to identify search pipeline improvements and apply search technology to new product areas.