Apple
Machine Learning Engineer - Apple Maps Navigation
Apple, Cupertino, California, United States, 95014
Machine Learning Engineer - Apple Maps Navigation
Cupertino,California,United States
Software and Services
Join the Apple Maps team and help shape the future of navigation for hundreds of millions of users worldwide! We are seeking a dedicated Machine Learning Engineer to join our traffic predictions and navigation systems team. Your work will directly impact how people move through their world, making their journeys more efficient and enjoyable. If you're passionate about using machine learning techniques to tackle sophisticated, real-world problems at a global scale, this is your opportunity to make a difference!
Description
As an ML Engineer on the Apple Maps Navigation team, you'll be at the forefront of developing and optimizing machine learning models that power our traffic predictions and navigation products. Your work will ensure that Apple Maps provides the most accurate and reliable navigation experience possible. You'll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps. Key responsibilities may include but are not limited to: - Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions - Creating new technical capabilities that serve as building blocks for new and improved features that surprise and delight our customers - Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product - Collaborating with data engineers to process and analyze extensive streams of location data in privacy-preserving fashion - Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments - Continuously monitoring and improving model performance through experimentation and analysis - Leading the iterative and data-driven research and exploration of new approaches for existing or new areas of consideration - Owning the investigation and resolution of high product impact issues - Communicating timelines and set expectations with others under uncertainty - Building necessary tools to analyze traffic and increase the usability of our systems
Minimum Qualifications
BS in Computer Science, Machine Learning, or related fields and 5+ years post grad experience in a related role
Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch
Experience with serving and deploying ML models at scale
Proficiency in working with SQL/NoSQL databases
Proficiency in Scala, Java, and/or C++ Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment
Key Qualifications
Preferred Qualifications
MS plus 4 years post-grad work experience or PhD plus 2 years post-grad experience in Computer Science, Machine Learning, or related fields
Consistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journals
Experience with large-scale data processing systems (e.g., Spark, Hadoop, Cassandra, Kafka)
Experience with geospatial data analysis and modeling or transportation science
Domain expertise in transportation, navigation, or time series prediction
Experience with cloud technologies and distributed systems
Education & Experience
Additional Requirements
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 $175,800 and $312,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Cupertino,California,United States
Software and Services
Join the Apple Maps team and help shape the future of navigation for hundreds of millions of users worldwide! We are seeking a dedicated Machine Learning Engineer to join our traffic predictions and navigation systems team. Your work will directly impact how people move through their world, making their journeys more efficient and enjoyable. If you're passionate about using machine learning techniques to tackle sophisticated, real-world problems at a global scale, this is your opportunity to make a difference!
Description
As an ML Engineer on the Apple Maps Navigation team, you'll be at the forefront of developing and optimizing machine learning models that power our traffic predictions and navigation products. Your work will ensure that Apple Maps provides the most accurate and reliable navigation experience possible. You'll be part of a dynamic, multi-functional team of software and ML engineers, data scientists, and traffic experts. Our collaborative environment encourages knowledge sharing and provides opportunities to work on various aspects of Apple Maps. Key responsibilities may include but are not limited to: - Designing, implementing, and maintaining algorithms and ML models for traffic prediction to support navigation decisions - Creating new technical capabilities that serve as building blocks for new and improved features that surprise and delight our customers - Working across multiple engineering, data science, UX, and product teams to help set the future direction of the product - Collaborating with data engineers to process and analyze extensive streams of location data in privacy-preserving fashion - Developing and improving ML pipelines for model training, evaluation, and deployment in real-time and batch environments - Continuously monitoring and improving model performance through experimentation and analysis - Leading the iterative and data-driven research and exploration of new approaches for existing or new areas of consideration - Owning the investigation and resolution of high product impact issues - Communicating timelines and set expectations with others under uncertainty - Building necessary tools to analyze traffic and increase the usability of our systems
Minimum Qualifications
BS in Computer Science, Machine Learning, or related fields and 5+ years post grad experience in a related role
Strong programming skills in Python, with experience in ML frameworks such as TensorFlow or PyTorch
Experience with serving and deploying ML models at scale
Proficiency in working with SQL/NoSQL databases
Proficiency in Scala, Java, and/or C++ Excellent problem solving and analytical skills, valuing a scientific approach by using experimentation and critical thinking to drive and validate high-quality results
Excellent communication skills and ability to adapt quickly in a dynamic, fast-paced environment
Key Qualifications
Preferred Qualifications
MS plus 4 years post-grad work experience or PhD plus 2 years post-grad experience in Computer Science, Machine Learning, or related fields
Consistent record in machine learning, validated through relevant industry experiences and/or publications in premier conferences or journals
Experience with large-scale data processing systems (e.g., Spark, Hadoop, Cassandra, Kafka)
Experience with geospatial data analysis and modeling or transportation science
Domain expertise in transportation, navigation, or time series prediction
Experience with cloud technologies and distributed systems
Education & Experience
Additional Requirements
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 $175,800 and $312,200, 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 (https://www.apple.com/careers/us/benefits.html) 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 take affirmative action to ensure 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. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .