Job Details

Machine Learning Solutions Engineer

Cupertino, California, United States

Software and Services

Summary

Posted: May 06, 2025

Role Number: 200598748

Our team bridges the gap between machine learning capabilities and user-facing products. We transform advanced ML technologies into valuable features that tackle real customer problems. We're looking for a skilled Machine Learning Solutions Engineer who can work at the intersection of ML research, engineering, and product development to build production-ready AI systems that deliver measurable business value. If you're passionate about making ML models work in real-world applications and can collaborate optimally across technical and non-technical teams, we'd love to talk with you!

Description

As a Machine Learning Solutions Engineer, you'll play a crucial role in our ML product development lifecycle. You'll collaborate with ML researchers, software engineers, product managers, and designers. You'll be responsible for prototyping ML-powered features, evaluating their technical feasibility and business impact, and guiding the implementation process.

In this role, you will build proof-of-concepts that demonstrate ML capabilities in practical contexts, develop strategies for measuring product value, design effective evaluation frameworks, and help build flawless moves between different ML models as technologies evolve. You'll need to think holistically about how ML systems fit into larger product ecosystems and user workflows.

You will be successful in our team if you enjoy solving complex technical problems with a product approach, can communicate optimally with diverse partners, and thrive at finding the right balance between ML performance and product requirements. This role requires both technical depth and the ability to see the big picture of how ML brings value for users.

Minimum Qualifications

• • Bachelor's degree in Computer Science, Machine Learning, or a related technical field

• 2+ years of experience integrating ML capabilities into software products

• Strong programming skills in Python and experience with ML frameworks

• Experience with prototyping, measuring, and iterating on ML-powered features

• Understanding of ML evaluation metrics and how they translate to business metrics

• Knowledge of modern software development practices and tools

• Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Preferred Qualifications

• • Experience with Large Language Models (LLMs) and understanding how to optimally integrate them into products

• Practical knowledge of Retrieval Augmented Generation (RAG) systems and their applications

• Experience crafting and implementing ML evaluation frameworks that connect to product success metrics

• Familiarity with A/B testing and experimental design for ML features

• Background in developing successful POC-to-production rollout strategies for ML features

• Experience collaborating with cross-functional teams including product management, design, and engineering

• Demonstrated ability to balance technical trade-offs with product 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 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.