Software Engineer - ML Data

Apple; New York (NY); On-site; USD 175,000 - 265,000; Full time

Job summary

An innovative tech company is seeking a Software Engineer specializing in machine learning data to enhance advertising experiences. In this role, you'll design secure and scalable back-end systems while collaborating with talented engineers. Your contributions will directly impact the way advertising interacts with data, ensuring user privacy and delivering exceptional results. Join a team that values reliability, simplicity, and growth, and take part in developing cutting-edge technologies that redefine industry standards. If you're passionate about machine learning and eager to make a difference, this opportunity is perfect for you.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational reimbursement

Employee stock purchase plan

Discretionary bonuses

Qualifications

• Experience with production machine learning systems and data services.
• Strong skills in problem-solving and debugging.
• Familiarity with CI/CD tooling and automation.

Responsibilities

• Design and develop secure and scalable back-end systems.
• Build high-performing systems in collaboration with various teams.
• Contribute to machine learning products that respect user privacy.

Skills

Machine Learning Systems

Distributed Processing Systems

Data Services/Pipelines

Cloud-based Architectures

Performance Tuning

Data Modeling

CI/CD Tooling

Problem Solving

Education

PhD in Computer Science

MS in Computer Science

BS in Computer Science

Tools

Spark

Kubernetes

PyTorch

TensorFlow

Job description

Software Engineer - ML Data

**New York City, New York, United States**

**Software and Services**

**Summary**

Posted: **Apr 23, 2025**

Weekly Hours: **40**

Role Number: **200601017**

At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.

Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

**Description**

The ML Platform team is responsible for bringing numerous features to advertisers and consumers while simultaneously supporting scalable modeling and continuous experimentation by all Ads teams. As a key contributor to this team, you will design and develop secure and scalable back-end systems. You will enjoy building high-performing, elegant systems from the ground up, in close partnerships with various teams. You will also possess keen judgment in selecting technologies and building the right solution for the interesting challenges we get to tackle here. You will have the opportunity to define and refine architectures to meet the unique ad network challenges we must solve. You will play a meaningful role building machine learning products which deliver on Apple's privacy commitments and change the way advertising works with data.

Join us and contribute to a culture that emphasizes reliability, simplicity, and scalability. You will join a team of world-class machine learning engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our customers. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers!

**Minimum Qualifications**

+ Experience writing mission-critical code for production machine learning systems.

+ Experience building production data services/pipelines using distributed processing systems like Spark.

+ Experience with distributed systems (e.g Ray, Spark, Kubernetes).

+ Experience working on distributed systems where scalability and performance are critical.

+ Experience building AI/ML tooling and/or data infrastructure for AI/ML.

+ Experience building and scaling cloud-based architectures.

+ Experience performance tuning & trouble-shooting.

+ Strong problem solving and debugging skills.

+ Strong data modeling and data architecture skills.

+ Pride in building automation and development tools.

+ Familiarity with CI/CD tooling.

**Preferred Qualifications**

+ PhD in Computer Science with 2+ years contributing to production machine learning systems, or MS in CS with 4+ years of engineering experience and 2+ years contributing to production machine learning systems, or (c) BS in CS with 5+ years of engineering experience and 2+ years contributing to production machine learning systems.

+ Ability to communicate effectively, both written and verbal, with technical and non-technical multi-functional teams

+ Results oriented with a desire to work in a fast-paced and collaborative work environment

+ Experience building production machine learning models using frameworks like PyTorch, TensorFlow is highly desired

+ Prior experience in advertising industry is a huge plus

**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 $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.