Applied Scientist
Austin, TX · On-site
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 ...
Applied Scientist
Austin, TX · On-site
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 ...
Applied Scientist
$175K - $308K/yr
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 ...
Applied Scientist
$175K - $308K/yr
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 ...
Applied Scientist
$175K - $308K/yr
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 ...
Applied Scientist
$175K - $308K/yr
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 ...
Machine Learning Scientist III
Austin, TX · On-site
$220K/yr
Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team develops, optimizes and operationalizes applied science driven marketplace levers that support a ...
Machine Learning Scientist III
Austin, TX · On-site
$220K/yr
Machine Learning Scientists III Within the AI & Data organization, the Marketplace Science team develops, optimizes and operationalizes applied science driven marketplace levers that support a ...
Applied Scientist
Austin, TX · On-site
$170 - $230/hr
We are hiring an Applied Scientist with experience in performing hyperparameter optimizations ... You will also develop tools and metrics for handling machine learning experiments during training ...
Applied Scientist
Austin, TX · On-site
$170 - $230/hr
We are hiring an Applied Scientist with experience in performing hyperparameter optimizations ... You will also develop tools and metrics for handling machine learning experiments during training ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Minimum Qualifications Bachelorʼs degree in Computer Science, Statistics, Mathematics with ...
Senior Machine Learning Engineer
Austin, TX · On-site
$121K - $160K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Minimum Qualifications Bachelorʼs degree in Computer Science, Statistics, Mathematics with ...
Senior AI / Machine Learning Engineer
Austin, TX · Remote
$115K - $200K/yr
You Likely Have * 5+ years of industry experience in machine learning or applied AI roles ... The opportunity to work on foundation-level ML systems applied to real scientific problems.
Quick apply
Senior AI / Machine Learning Engineer
Austin, TX · Remote
$115K - $200K/yr
You Likely Have * 5+ years of industry experience in machine learning or applied AI roles ... The opportunity to work on foundation-level ML systems applied to real scientific problems.
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Senior Machine Learning Engineer
$184K - $324K/yr
We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...
Staff Machine Learning Engineer
Austin, TX · On-site
$120K - $550K/yr
We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
Quick apply
Staff Machine Learning Engineer
Austin, TX · On-site
$120K - $550K/yr
We are looking for visionary Machine Learning Engineers to join our Applied Group, where you'll ... Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
Senior Machine Learning Engineer (Active Secret Clearance)
Austin, TX · On-site
$185K - $230K/yr
Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll ... You'll also develop machine learning models and custom analytics applied to image, video, text ...
Senior Machine Learning Engineer (Active Secret Clearance)
Austin, TX · On-site
$185K - $230K/yr
Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll ... You'll also develop machine learning models and custom analytics applied to image, video, text ...
Senior Machine Learning Engineer (Active Secret Clearance)
Austin, TX · On-site
$185K - $230K/yr
Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll ... You'll also develop machine learning models and custom analytics applied to image, video, text ...
Senior Machine Learning Engineer (Active Secret Clearance)
Austin, TX · On-site
$185K - $230K/yr
Working directly with customers, data scientists, software engineers, and DevOps engineers, you'll ... You'll also develop machine learning models and custom analytics applied to image, video, text ...
Senior Machine Learning Scientist, Advertising
Austin, TX · On-site
$120 - $150/hr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
Senior Machine Learning Scientist, Advertising
Austin, TX · On-site
$120 - $150/hr
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
Machine Learning Engineer
Austin, TX · On-site
Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience • Excellence in Python • Deep expertise in algorithms and data structures • Exposure to ...
Machine Learning Engineer
Austin, TX · On-site
Degree in Computer Science, Machine Learning, or Related disciplines; and 2+ years of relevant experience • Excellence in Python • Deep expertise in algorithms and data structures • Exposure to ...
Senior Machine Learning Engineer
$121K - $160K/yr
Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field * 5 years of experience in applied machine learning on real use cases * Proficient coding skills and strong software ...
Senior Machine Learning Engineer
$121K - $160K/yr
Bachelors, Masters, or PhD in Computer Science, Statistics, or a related field * 5 years of experience in applied machine learning on real use cases * Proficient coding skills and strong software ...
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction ... PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field * 8+ years ...
What We're Looking For - Deep expertise in Operations Research and/or Machine Learning methods ... applied environment PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science ...
What We're Looking For - Deep expertise in Operations Research and/or Machine Learning methods ... applied environment PREFERRED QUALIFICATIONS - PhD in engineering, technology, computer science ...
Machine Learning Scientist III - VRBO Pricing
Austin, TX · On-site
$220K/yr
The Machine Learning Science team is building a scalable and robust system to enable pricing as a ... And this is an applied research role - your models will be deployed to our production systems, and ...
Machine Learning Scientist III - VRBO Pricing
Austin, TX · On-site
$220K/yr
The Machine Learning Science team is building a scalable and robust system to enable pricing as a ... And this is an applied research role - your models will be deployed to our production systems, and ...
Machine Learning Engineer
Austin, TX · On-site
Working at the intersection of computer science, marine science, and data analytics, this position ... applied to future expeditions and datasets. * Support integration of AI/ML outputs into broader ...
Quick apply
Machine Learning Engineer
Austin, TX · On-site
Working at the intersection of computer science, marine science, and data analytics, this position ... applied to future expeditions and datasets. * Support integration of AI/ML outputs into broader ...
Senior Applied Scientist Machine Learning information
See Austin, TX salary details
$65.9K - $74.7K
5% of jobs
$74.7K - $83.6K
11% of jobs
$90.9K is the 25th percentile. Wages below this are outliers.
$83.6K - $92.4K
11% of jobs
$92.4K - $101.2K
19% of jobs
The median wage is $103.8K / yr.
$101.2K - $110.1K
13% of jobs
$118.8K is the 75th percentile. Wages above this are outliers.
$110.1K - $118.9K
16% of jobs
$118.9K - $127.7K
9% of jobs
$127.7K - $136.6K
5% of jobs
$136.6K - $145.4K
4% of jobs
$145.4K - $154.2K
3% of jobs
$154.2K - $163.1K
3% of jobs
$65.9K
$109.6K
$163.1K
How much do senior applied scientist machine learning jobs pay per year?
As of Sep 5, 2026, the average yearly pay for senior applied scientist machine learning in Austin, TX is $109,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $123,900.00 per year, depending on experience, location, and employer.
What are popular job titles related to Senior Applied Scientist Machine Learning jobs in Austin, TX?
For Senior Applied Scientist Machine Learning jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Senior Applied Scientist Machine Learning jobs in Austin, TX look for?
The top searched job categories for Senior Applied Scientist Machine Learning jobs in Austin, TX are:
What cities near Austin, TX are hiring for Senior Applied Scientist Machine Learning jobs?
Cities near Austin, TX with the most Senior Applied Scientist Machine Learning job openings:
Apple rating
8.1
Based on 683 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
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.
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
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.
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
About Apple
Sourced by ZipRecruiter
Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976