Staff Machine Learning Engineer
Apple
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Cupertino, CA
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Not Applicable
Posted March 13, 2026
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Responsibilities
Responsibilities
- We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements.
- They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task.
- This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.
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What still needs stronger evidence
Requirements
- 5+ years of experience in building large scale machine learning systems.
- Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition.
- 2+ years of experience in one or more of the following ML areas: generative AI models (e.g.
- Transformers, LLMs, VLMs, etc).
- Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
- Experience working with large scale and real world datasets
- Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies
- Metrics focused and passionate about delivering models that render high quality results
- Familiarity with cloud platforms such as AWS, GCP, or Azure.
- Strong problem-solving, communication, and ability to collaborate with cross-functional teams.
Preferred Skills
- 2+ years of experience in one or more of the following ML areas: generative AI models (e.g.
- Strong problem-solving, communication, and ability to collaborate with cross-functional teams.
- Understanding of Knowledge graphs and their applications to entity matching
- Working knowledge of Deep learning and computer vision, are pluses
Summary
We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.
Description
As a member of our team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps! This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills.
Minimum Qualifications
5+ years of experience in building large scale machine learning systems.
Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition.
2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc).
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
Experience working with large scale and real world datasets
Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies
Metrics focused and passionate about delivering models that render high quality results
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Strong problem-solving, communication, and ability to collaborate with cross-functional teams.
Preferred Qualifications
Understanding of Knowledge graphs and their applications to entity matching
Working knowledge of Deep learning and computer vision, are pluses
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 $181,100 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.
We are looking for a Machine Learning Engineer who will be converting abstract, high-level goals into concrete, measurable requirements. They will be proposing, implementing, evaluating, and shipping different AI/ML technologies and resulting data to achieve a given task. This role will be collaborating with various partners, including engineering orgs and designers to architect the best overall system.
Description
As a member of our team, you’ll have the opportunity to work with a team of highly skilled engineers and scientists to bring new experiences to Apple Maps! This position requires a self-motivated engineer/scientist with strong technical and interpersonal skills.
Minimum Qualifications
5+ years of experience in building large scale machine learning systems.
Deep understanding of NLP fundamentals including embedding generation, text similarity, entity recognition.
2+ years of experience in one or more of the following ML areas: generative AI models (e.g. Transformers, LLMs, VLMs, etc).
Strong programming skills and hands-on experience with machine learning tools and libraries such as PyTorch, TensorFlow, Scikit-learn; programming skills in Scala, Python, Java, or C++
Experience working with large scale and real world datasets
Knowledge of Spark, Solr/Lucene, Cassandra, and related big data technologies
Metrics focused and passionate about delivering models that render high quality results
Familiarity with cloud platforms such as AWS, GCP, or Azure.
Strong problem-solving, communication, and ability to collaborate with cross-functional teams.
Preferred Qualifications
Understanding of Knowledge graphs and their applications to entity matching
Working knowledge of Deep learning and computer vision, are pluses
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 $181,100 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.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
Apple accepts applications to this posting on an ongoing basis.