Jobs in the United States

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Added 17 hours ago
Sr. Software Development Engineer, Amazon Demand Side Platform, Forecasting
Amazon
New York, NY
Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
Added 1 day ago
Principal/Senior Software Engineer - Mobile App Monetization (Ad Server)
PubMatic
Redwood City, CA
The ideal candidate is a seasoned backend engineer with strong ad-tech domain expertise and experience building real-time auction, targeting, decisioning, and optimization systems. You will…
Added 2 days ago
Sr Machine Learning Engineer
Disney Entertainment & Sports LLC
Santa Monica, CA
As a Senior Machine Learning Engineer, you will be expected to lead search algorithm research, development, and productionization for existing and new product areas. You will identify…
Added 2 days ago
Senior Machine Learning Engineer, Ads Forecasting & Scenarios
Reddit
Remote, United States
Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions.
Added 3 days ago
Sr. Backend Engineer C++ - Reston 2 Days Hybrid - FreeWheel
Comcast (CC) of Willow Grove
VA
Familiarity with online machine learning inference or model serving frameworks (e.g., NVIDIA Triton, ONNX Runtime) is a plus.
Added 8 days ago
Senior Data Science Engineer
T-Mobile
NEW YORK, NY
Added 9 days ago
Software Engineer, Systems ML
Meta
Menlo Park, CA
Meta is seeking a Software Engineer to join the MTIA (Meta Training & Inference Accelerator) Software Tooling team, which develops and maintains the tooling ecosystem for Meta's in-house AI…
Added 10 days ago
Senior Data Scientist - Experimentation
Apple
New York City, NY
Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression…
Added 12 days ago
Sr Machine Learning Engineer
Disney Entertainment & Sports LLC
New York, NY · Glendale, CA
…experiences across its digital products. We are seeking a Senior Machine Learning Engineer who will focus on the design, development, and productionization of advanced deep learning models…
Added 14 days ago
TW
Lead Machine Learning Engineer - News
The Walt Disney Company
Glendale, CA
- $141,900 to $199,400 USD / year
As a Lead Machine Learning Engineer, you will play a leading role in shaping the technical direction of the News ML Platform. You will drive infrastructure for scalable learning, inference,…
Added 14 days ago
Staff Software Engineer, AI/ML, YouTube Ads
Google
Mountain View, CA
Lead the end-to-end development of novel machine learning models, incorporating techniques like deep learning, reinforcement learning, and generative artificial intelligence, from concept…
Added 15 days ago
W
Principal, Software Engineer
Walmart
SUNNYVALE, CA
- $143,000 to $286,000 USD / year
Lead platform development for a suite of measurement solutions from 0 to 1 - including incrementality, attribution, data cleanroom measurement, partner integrations, and GenAI-powered…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Massachusetts, MA
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Palo Alto, CA
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Chicago, IL
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
San Francisco, CA
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Illinois, IL
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
North Carolina, NC
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
New York, NY
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Seattle, WA
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Connecticut, CT
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Tampa, FL
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Jacksonville, FL
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Manhattan Beach, CA
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…
Added 16 days ago
Tech Lead, Data & Inference Engineer
Catalyst Labs
Miami, FL
Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients…

Apple

Senior Data Scientist - Experimentation

New York City, NY, United States

The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.

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Job details

Pay: The base pay range for this role is between $184,700 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Experience: 5+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference.
Posting language: English
Posted: Oct 21, 2026

Original job description

Summary At Apple, we work every day to create products that enrich people’s 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 Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. Ads Experimentation team is seeking a Machine Learning Engineer and Statistician who will help drive innovation. This is a hands-on role for developing & supporting a state of the art ads experimentation platform. This role requires partnering with cross-functional teams to effectively coordinate the complex interdependencies inherent in application development. A successful candidate has strong technical skills and is eager to create intuitive user experiences; they have a keen eye for the details that surprise and delight our customers. While understanding our product features, you will perform rigorous analyses, measure performance and make data-driven decisions and develop scalable tools that facilitate quick and accurate decision making.

Description Design and build a new generation of experimentation platform for the Ads Platform organization. Apply leading-edge technologies to enable safe and data driven launch of features that help connect Apple users and advertisers while delivering on Apple's privacy commitment through experimentation. Collaborate with stakeholders and data scientists to design experiments and statistical methods that account for the marketplace dynamics and yield reliable treatment effects. Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering. You will join and contribute to a culture that emphasizes observability and understandability, reliability, resiliency, simplicity, reusability, extensibility, scalability, velocity and productivity. We are one team, nurturing each other’s growth and supporting each other in delivering for our customers and Apple.

Minimum Qualifications 5+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates. Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus. Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables. Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus. Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale. Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering. Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions. Skilled at operating in a cross-functional organization. Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action. Curious business attitude with a proven ability to seek projects with a sense of ownership. Excellent communication, social and presentation skills. Desire to work in a fast-paced and challenging work environment. Mentor junior engineers and scientists on the team

Preferred Qualifications Advanced Degree in Computer Science, Statistics, Applied Math or related field. 6+ years of industry experience building scalable applications.

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 $184,700 and $277,600, 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

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

EEO Statement 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

Accessibility At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Application Deadline Apple accepts applications to this posting on an ongoing basis.

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More about this job

Skills

Google Ads
Decision making
Data engineering
Statistics
SQL
Python
Machine learning
PySpark
Scala
Reporting
Statistical quality control
Communication skills
Presentation skills
Computer science

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