Machine Learning Engineer - Ad Platforms

Lensa; Cupertino (CA); On-site; USD 143,000 - 265,000; Full time

Job summary

A leading company seeks a Machine Learning Engineer in Cupertino, CA, responsible for developing the next generation of analytical solutions. The role involves working with large datasets to improve customer experience and drive productivity for app developers while collaborating closely with engineering, sales, and marketing teams.

Benefits

Comprehensive medical and dental coverage

Retirement benefits

Discounted products and free services

Educational expense reimbursement

Stock purchase plan

Qualifications

• 6+ years of recent experience in data science or machine learning engineering role.
• Experience with Big Data tools such as Hadoop, Spark and PySpark.
• Ability to communicate analysis results effectively.

Responsibilities

• Develop end-to-end data solutions and reusable models.
• Partner with Sales, Product, Marketing to deliver analytics for product performance.
• Own complete lifecycle of data products including prototyping and deployment.

Skills

Programming skills in Python

SQL

Data Analysis

Predictive Modeling

Pattern Mining

Anomaly Detection

Education

Bachelor's in computer science

Mathematics

Tools

AWS

Hadoop

Spark

PySpark

Job description

4 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Lensa is the leading career site for job seekers at every stage of their career. Our client, Apple, is seeking professionals in Cupertino, CA. Apply via Lensa today!

Machine Learning Engineer - Ad Platforms

Cupertino, California, United States

Machine Learning and AI

Summary

Posted: Feb 25, 2025

Weekly Hours: 40

Role Number: 200592774

At Apple, we work every day to build products that enrich peoples lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Apple News, the App Store, and on Apple TV+. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy.

The Ad Platforms Data Insights team is seeking a machine learning engineer to join in developing the next generation of analytical solutions working with Engineering, Sales, Product, Marketing and Finance! In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement of analytical solutions that're critical to running and growing the business.

Description

Responsibilities include turning the huge datasets generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers. Do you have experience in applied research with expertise in pattern mining, anomaly detection, text analytics, predictive modeling, classification, and optimization? This role requires both broad knowledge of existing data mining algorithms and the creativity to invent and customize when necessary. You'll dig in and get into the details. The theory behind the techniques is just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios.

Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for a thoughtful, collaborative, and passionate person to join this amazing team!

• Partner with Sales, Product, Marketing and the Executive Team to deliver analytics for product performance and customer insight
• Develop end-to-end data solutions and reusable models and assets working closely with Data Technology team to ensure scalability and industrialization as models move into production
• Own complete lifecycle of data products, including prototyping, deployment, ongoing maintenance and supporting downstream users.
• Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for stakeholders
  
  

Minimum Qualifications

• 6+ years of recent experience in a data science or machine learning engineering role.
• Programming skills in Python and SQL.
• Comfortable with cloud technologies such as AWS, Snowflake.
• Experience with Big Data tools such as Hadoop, Spark and PySpark.
• Experience in quantitative analysis including regression, classification, clustering, and time-series analyses.
• Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
• Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems.
• Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production.
• Bachelor's in computer science, mathematics, or similar quantitative field
  
  

Preferred Qualifications

• Ability to operate comfortably and effectively in a fast-paced, multi-functional, constantly evolving environment.
• Familiarity with packages like sk-learn, XGBoost, PyTorch, JAX, etc.
• Familiarity with job orchestration frameworks like Airflow, CICD, model serving, scalability, Kubernetes, Docker, Jenkins.
• Experience in deep learning, LLM fine-tuning, and / or natural language processing.
• Experience in the digital advertising industry or related field.
• Graduate degree in computer science, mathematics, or similar quantitative field
  
  

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

Referrals increase your chances of interviewing at Lensa by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

Palo Alto, CA $192,750.00-$337,000.00 21 hours ago

Sunnyvale, CA $117,000.00-$234,000.00 1 day ago

Sunnyvale, CA $117,000.00-$234,000.00 20 hours ago

Redwood City, CA $123,000.00-$185,000.00 6 months ago

Data Scientist III, Research, YouTube Ads

Mountain View, CA $141,000.00-$202,000.00 1 day ago

San Jose, CA $137,500.00-$236,500.00 4 weeks ago

San Jose, CA $108,800.00-$162,800.00 1 day ago

Redwood City, CA $69,000.00-$158,200.00 31 minutes ago

Pleasanton, CA $73,700.00-$158,200.00 8 hours ago

San Jose, CA $130,000.00-$178,000.00 18 hours ago

Sunnyvale, CA $167,000.00-$185,500.00 2 weeks ago

Mountain View, CA $158,000.00-$200,000.00 1 week ago

New Grads 2025 - Software Engineer - Computer Vision/Deep Learning

San Jose, CA $120,000.00-$165,000.00 7 months ago

San Jose, CA $120,700.00-$228,600.00 2 days ago

San Jose, CA $120,700.00-$228,600.00 2 days ago

New Grads 2025 - Software Engineer, Algorithm

San Jose, CA $120,000.00-$165,000.00 8 months ago

Machine Learning Researcher - New College Grad 2025

Mountain View, CA $120,000.00-$200,000.00 4 months ago

Software Engineer, Open Source, AI/ML, Developer Infrastructure

Sunnyvale, CA $141,000.00-$202,000.00 1 day ago

San Jose, CA $119,000.00-$177,000.00 2 weeks ago

Palo Alto, CA $122,800.00-$153,500.00 12 hours ago

Software Engineer, AI Platform - New Grad

Cupertino, CA $1,000.00-$20,000.00 3 weeks ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.