← All roles

Applied Scientist

Apple· Machine Learning and AI
Apply on company site
Hybrid (Austin, Texas), Hybrid (Culver City, California)$175k - $308.5kFull-timePosted 6mo ago

About the role

Applied Scientist role focused on causal inference, statistics, and machine learning to optimize marketing channels through observational testing, counterfactual modeling, and lifetime value estimation. Collaborates across Business, Marketing, Product, Finance, and Engineering to deliver scalable AIML solutions with a strong emphasis on privacy and impact on marketing effectiveness.

Responsibilities

  • Engineer end-to-end scalable and robust Causal Inference products which provide Apple with an understanding of the health of our Services’ marketing efforts.
  • Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling.
  • Collaborate with product managers, data scientists, and other engineering teams to translate business requirements into technical specifications and deliver impactful, practical solutions, increasing internal adoption of causal inference approaches and democratizing data
  • Stay abreast of the latest advancements in causal inference and AIML research, evaluating and integrating new frameworks where appropriate
  • Champion best practices in software engineering, MLOps, code quality, testing, documentation, and ensure compliance with data privacy and security

Qualifications

  • Master’s degree in Statistics、 Economics、 Mathematics、 Machine Learning、 Computer Science、 Engineering、 or a related technical field
  • 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
  • Familiarity with a broad range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching
  • Hands-on experience building Marketing Mix models and validation through Matched Market testing
  • Solid understanding of AIML technologies including Generative AI
  • Proven track record of successfully delivering complex projects from start to finish
  • Proficiency in programming languages such as Python, R, SQL, Java, or C++
  • Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
  • Excellent communication, collaboration, and presentation skills with meticulous attention to detail

Skills

Required:Causal inference techniquesMarketing Mix modelingGenerative AIProgrammingCloud, Spark, Docker, MLOpsCommunication & collaboration

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses including tuition
  • potential discretionary bonuses or commission payments
  • relocation assistance
  • stock programs including discretionary RSU and Employee Stock Purchase Plan
Last updated Sep 18, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
Company profileWebsite

More open roles at Apple