Senior ML Engineer — Lead Language Understanding for Search

MaziCTools; United States; Remote; USD 167,000 - 296,000; Full time

Benefits offered by this job

Medical & dental coverage

Stock programs

Relocation assistance

Tuition reimbursement

Job summary

Apple in Seattle is seeking a Senior Machine Learning Engineer to lead research and development in language understanding for search across Apple products. You will drive innovation in ML algorithms, build production-grade NLP solutions, and guide a small team in pursuing ambitious language modeling projects.

The role emphasizes leading projects, collaborating with cross-functional teams, and delivering results that improve search experience at scale.

Qualifications

• 7+ years experience in search, ML, NLP, LLMs and scaling these techniques.
• Strong software engineering skills in Python, Go, C/C++.
• Experience building production-quality NLP/ML applications.
• Ability to prototype ideas quickly and work with cross-functional teams.

Responsibilities

• Research and lead innovative language modeling techniques for search.
• Build novel applications of LLMs to search problems across Apple products.
• Define a long-term technical vision and roadmap for the ML group.
• Collaborate with product teams to apply language understanding models.
• Improve model metrics and production performance using state-of-the-art ML methods.

Skills

Search & ML at scale

Programming (Python/Go/C/C++)

NLP/LLMs tooling (Jax, TF, PyTorch)

Production ML systems

Communication

Cross-functional collaboration

Education

PhD in Machine Learning

Master's in ML

Tools

Jax

TensorFlow

PyTorch

Job description

Apple in Seattle is seeking a Senior Machine Learning Engineer to lead research and development in language understanding for search across Apple products. You will drive innovation in ML algorithms, build production-grade NLP solutions, and guide a small team in pursuing ambitious language modeling projects.

The role emphasizes leading projects, collaborating with cross-functional teams, and delivering results that improve search experience at scale.