Machine Learning Engineer

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.

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 at scale., 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 at scale., Design, develop, and implement machine learning models and RAG based agentic solution for NLP, and multimodal applications.

Integrate and own ML solutions into production systems and existing workflows at scale.

Collaborate with data scientists, software & ML engineers as well as product managers to define requirements and deliverables

Independently own deliverables and apply problem-solving skills to identify solutions to problems to take ownership of complex, ambiguous problems and drive cross-functional solutions with minimal guidance.

Ph.D. in a related field.

Experience with state-of-the-art ML methodologies, including LLM fine-tuning, neural network optimization , RL

Strong 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.

Minimum Qualifications

BSc 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++, GoLand

Experience with ML libraries such as TensorFlow, PyTorch, HuggingFace, 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.

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