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Senior Systems Developer Engineer
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RF Comms Systems Engineer, Amazon Leo
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Lead Site Reliability Engineer
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Dallas, TX · Fort Lauderdale, FL · Louisville, KY · Tampa, FL
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Software Development Engineer II, Advertising Technology
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…seeking a talented and results-driven Software Development Engineer II, Advertising Technology. In this role, you will work with a team of dedicated engineers to develop and enhance our…
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Software Development Engineer III, Advertising Technology
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Added 5 mins ago
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Octant Apprentice
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- $70,000 to $80,000 USD / year
…to graduate school, you're motivated by Octant's mission to engineer breakthrough medicines. As part of the Octant team, you'll learn from some of the top scientists in drug discovery,…
Added 7 mins ago
Systems Integration Specialist
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Added 8 mins ago
Assistant Manager, Mechanical, Pre-Construction Services
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…fabricating custom process equipment and implementing advanced…
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Senior Technical Solution Architect
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…fragmented, unstructured data into a trusted foundation that fuels automation, financial clarity, and decision intelligence at…
Added 9 mins ago
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Sr. Software Engineer, DNS and Cloud Infrastructure
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Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms
Added 9 mins ago
Software Engineer
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Added 9 mins ago
Applied Scientist
Apple
Austin, TX
Engineer end-to-end scalable and robust Causal Inference products which provide Apple with an understanding of the health of our Services’ marketing efforts
Added 11 mins ago
Product Engineer I - Survey123
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Collaborate on test plans and contribute to automation where appropriate, with a focus on improving overall product quality
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Staff Software Engineer, Performance- Weights & Biases
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…performance a shared responsibility across the company through data, automation, and…
Added 11 mins ago
Senior Data Platform Engineer - Weights & Biases
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As a Senior Data Platform Engineer, you will apply advanced knowledge of software engineering, data architecture, distributed systems, and database technologies to design and operate our…
Added 12 mins ago
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Senior Offensive Security Engineer
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Remote, United States
- $150,000 to $175,000 USD / year
Delinea’s Cybersecurity organization is seeking a Senior Offensive Security Engineer to mature Delinea’s in-house Offensive Security program. The ideal candidate will be highly…
Added 12 mins ago
Senior Mechanical Engineer
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Added 12 mins ago
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Manufacturing Engineer
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Madison, SD
- $34.62 to $53.85 USD / hour
We are seeking a motivated and hardworking individual to join our team in Madison, SD as a Manufacturing Engineer. You will be part of a group of engineers dedicated to high-quality work,…

Apple

Applied Scientist

Austin, TX, United States

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Job details

Experience: 3+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
Posting language: English
Posted: Nov 9, 2026

Original job description

Summary Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy. We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.

Description As an Applied Scientist, you will have the responsibility of pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. You will also be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving.

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

Minimum 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 brand 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

Preferred Qualifications PhD in related field Hands-on experience leveraging Generative AI to improve productivity and generate new insights Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action

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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Skills

Problem solving
Statistics
Machine learning
Computer science
Marketing mix
Programming languages
Python
R
SQL
Oracle Java
C++
Apache Spark
Docker
Communication skills
Collaboration
Presentation skills
Attention to detail

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