Machine Learning Applied Research Scientist - Full-time

Machine Learning Applied Research Scientist• *Cupertino, California, United States**• *Software and Services**• *Summary**Posted: **Apr 18, 2025**Weekly Hours: **40**Role Number: **200579162**Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. We’re looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!• *Description**Our team designs and builds ML solutions to enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular.In this role, you will be responsible for identifying and applying novel techniques to model training and supporting tasks like data generation, evaluation infrastructure, and inference. You will also be involved in directly integrating ML into products, working closely with the extended team to collect and apply feedback. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.• *Minimum Qualifications**+ Extensive experience with applied machine learning.+ Proven experience in software engineering, data engineering, or similar.+ MS in Computer Science or related experience• *Preferred Qualifications**+ Working knowledge of applied Natural Language Processing.+ Experience with reinforcement learning• *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 $143,100 and $264,200, 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 about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .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 .Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .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 applicable in your area.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Machine Learning Applied Research Scientist• *Cupertino, California, United States**• *Software and Services**• *Summary**Posted: **Apr 18, 2025**Weekly Hours: **40**Role Number: **200579162**Our team of applied ML scientists and engineers works to enhance the experience and productivity of software developers at Apple and in the Apple developer ecosystem. Our team trains state-of-the-art ML models and applies them in products to solve real-world problems. We’re looking for talented and enthusiastic team members to join us in our efforts. If this sounds like you, we have many challenging and interesting problems to work on together and would love to talk to you!• *Description**Our team designs and builds ML solutions to enhance the software development experience at Apple and within the Apple developer ecosystem. We are a team of applied scientists, infrastructure engineers, and machine learning engineers who are immersed in the rapidly advancing field of ML, and Natural Language Processing in particular.In this role, you will be responsible for identifying and applying novel techniques to model training and supporting tasks like data generation, evaluation infrastructure, and inference. You will also be involved in directly integrating ML into products, working closely with the extended team to collect and apply feedback. You will need to rely on your creativity and problem solving to develop scalable, maintainable, and cost-effective solutions.You will be successful and feel fulfilled in our team if you enjoy tackling challenging problems, have a strong sense of shared ownership, and thrive in a collaborative team setting.• *Minimum Qualifications**+ Extensive experience with applied machine learning.+ Proven experience in software engineering, data engineering, or similar.+ MS in Computer Science or related experience• *Preferred Qualifications**+ Working knowledge of applied Natural Language Processing.+ Experience with reinforcement learning• *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 $143,100 and $264,200, 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 about Apple Benefits. (https://www.apple.com/careers/us/benefits.html)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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program (https://www.apple.com/jobs/pdf/EverifyPosterEnglish.pdf) .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 .Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .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 applicable in your area.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.