Machine Learning Engineer, Search & Quality

Position: Machine Learning Engineer, Search & Knowledge Quality
Role Number:
Team:
Software and Services, Machine Learning and AI

Location:

Santa Clara;
Seattle Posted:
Summary The Search and Knowledge Quality team is redefining how hundreds of millions of users interact with their devices to access information. We are an Applied Machine Learning team pushing the boundaries of artificial intelligence—from query understanding and information retrieval to response ranking and contextual answer generation.

Our team drives innovation by conducting research, building end-to-end solutions, and deploying them at scale to deliver meaningful customer impact across Apple products.

Description In this role, you will leverage and advance state-of-the-art LLM and ML techniques to better understand user queries and intent, improve document ranking, and generate high-quality answers. You will have end-to-end ownership of features within the Siri Search system, from ideation through production deployment. You will collaborate with industry-leading experts and cross-functional teams across multiple geographies, tackling complex challenges imum QualificationsBSc or Masters degree in Machine Learning, Data Science, Computer Science, Information Security, Mathematics, Statistics, or related field.
3+ years of industry related experience, working in collaborate environments

Experience with programming skills in Python,C/C++, Go Land Experience  with ML libraries such as Tensor Flow, PyTorch, Hugging Face, AXLearn and Scikit-learn.

Familiarity with integrating ML solutions into production systems and existing workflows at scale; experience with CI/CD workflows and ML pipelines .Excellent written and verbal communication skills, with the ability to present technical concepts clearly to varied audiences.

Strong problem-solving skills and ability to work independently as well as in a team environment.

Preferred Qualifications Ph.D. in a related field.

Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RLStrong communication and accountability skills; a hard-working, strong work ethic, and collaboration abilities.

Experimental rigor when training/evaluating LLMs for the purpose of benchmarking LLM optimization algorithms.

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 $142,300 and $263,300, 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.

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 $150,400 and $277,600,…