Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... which means designing within real constraints like model size, inference budgets, and memory.
Machine Learning Engineers here build analytical solutions and think deeply about where they fit ... which means designing within real constraints like model size, inference budgets, and memory.
... moving machine on the planet. Applied Intuition services the automotive, defense, trucking ... The ideal candidate is a strong learning designer who enjoys working in complex technical ...
... moving machine on the planet. Applied Intuition services the automotive, defense, trucking ... The ideal candidate is a strong learning designer who enjoys working in complex technical ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Machine Learning Engineer
Ashburn, VA · On-site
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...
Machine Learning Engineer
Ashburn, VA · On-site
We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Work closely with product managers, developers, designers, and QA teams within a large Agile ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
Prior experience designing and building Machine Learning models * Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex datasets, driving insights, and ...
Machine Learning Engineer Intern
South San Francisco, CA · On-site
$35/hr
Prior experience designing and building Machine Learning models * Deep understanding of machine learning concepts and fundamentals * Experience in analyzing complex datasets, driving insights, and ...
Machine Learning Engineer
Raleigh, NC · On-site
$96K - $137K/yr
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Machine Learning Engineer
Raleigh, NC · On-site
$96K - $137K/yr
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Machine Learning Engineer
Austin, TX · Hybrid
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Machine Learning Engineer
Austin, TX · Hybrid
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Overview Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data ...
Machine Learning Engineer
Raleigh, NC · On-site
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Quick apply
Machine Learning Engineer
Raleigh, NC · On-site
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience designing experiments and evaluating model performance * Ability to work across research ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience designing experiments and evaluating model performance * Ability to work across research ...
Machine Learning Engineer
Austin, TX · On-site
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Machine Learning Engineer
Austin, TX · On-site
SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience designing experiments and evaluating model performance * Ability to work across research ...
Machine Learning Engineer
Somerville, MA · On-site
$170K - $200K/yr
We're looking for a Senior Machine Learning Engineer to help advance the state of voice ... Experience designing experiments and evaluating model performance * Ability to work across research ...
Machine Learning Engineer
Raleigh, NC · On-site
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Machine Learning Engineer
Raleigh, NC · On-site
In this role, you will be responsible for designing and developing machine learning prototypes, as well as driving concept design and analysis efforts. Key Responsibilities: * Design, prototype, and ...
Machine Learning Engineer
Austin, TX · On-site
$100 - $125/hr
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Machine Learning Engineer
Austin, TX · On-site
$100 - $125/hr
The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of ...
Machine Learning Engineer
Laurel, MD · On-site
As a Machine Learning Engineer, you will... * Design, implement, and evaluate advanced machine ... Have 5+ years of experience in designing and implementing AI/ML algorithms for a variety of ...
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... You have an ability to understand and make well-reasoned tradeoffs in designing features
Machine Learning Manager
Seattle, WA · On-site
$180K - $250K/yr
Machine Learning Manager In order to execute our vision, we're constantly growing our machine ... You have an ability to understand and make well-reasoned tradeoffs in designing features
We are looking for a Senior Machine Learning Engineer to power the intelligence inside our products ... AI Use Guidelines for Interviews Our interviews are designed to reflect your own skills and ...
We are looking for a Senior Machine Learning Engineer to power the intelligence inside our products ... AI Use Guidelines for Interviews Our interviews are designed to reflect your own skills and ...
You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration. This ...
You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration. This ...
Machine Learning Designer information
See salary details
$58K - $64.6K
20% of jobs
$66.5K is the 25th percentile. Wages below this are outliers.
$64.6K - $71.2K
18% of jobs
$71.2K - $77.8K
9% of jobs
The median wage is $79.3K / yr.
$77.8K - $84.4K
14% of jobs
$89.8K is the 75th percentile. Wages above this are outliers.
$84.4K - $91K
18% of jobs
$91K - $97.5K
11% of jobs
$97.5K - $104.1K
5% of jobs
$104.1K - $110.7K
2% of jobs
$110.7K - $117.3K
1% of jobs
$117.3K - $123.9K
1% of jobs
$123.9K - $130.5K
1% of jobs
$58K
$83.2K
$130.5K
How much do machine learning designer jobs pay per year?
As of Sep 11, 2026, the average yearly pay for machine learning designer in the United States is $83,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $91,500.00 per year, depending on experience, location, and employer.
What are popular job titles related to Machine Learning Designer jobs?
For Machine Learning Designer jobs, the most frequently searched job titles are:
Machine Learning Engineer, Wallet Intelligence and Machine Learning
Austin, TX • On-site
Apple
• Computer and Electronic Product Manufacturing • 10K+ employees10,000+ employees
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
Apple rating
8.1
Based on 684 frontline employees who took The Breakroom Quiz
Job description
Are you motivated to protect users and their accounts while delivering the best possible customer experience? Come join the Wallet Intelligence and Machine Learning team, where we help secure users' digital lives across Apple's devices without sacrificing privacy. Machine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use.
The On Device Insights team at Apple develops machine learning models that run directly on users' devices to protect them from fraud, holding themselves to an exceptionally high bar for privacy. As part of the Wallet Intelligence and Machine Learning team, you will help secure users' digital lives across Apple's devices - including Apple Pay and Apple Wallet - without sacrificing privacy. This is a mission-driven team that thrives on hard problems, healthy skepticism, and open collaboration.
Description
We are looking for a Machine Learning Engineer to help develop and launch on-device technologies that keep our users safe, working closely with engineering, security, program management, and business partners.
Our work is applied and pragmatic by necessity. Models must run in real time and in the background on the device without slowing down something as simple as an in-app purchase, which means designing within real constraints like model size, inference budgets, and memory. Because we often need to anticipate fraud rather than react to each new pattern as it appears, we have to be proactive and think ahead. This role is a chance to take ownership of a problem area, build a system-wide understanding of where our models fit, and apply your expertise in machine learning in an innovative and fast-moving environment.
If you're energized by ambiguity, motivated by a meaningful mission, and the kind of person who digs beneath the surface and questions your own assumptions before forming a recommendation, we'd love to hear from you.
Minimum Qualifications
Experience with machine learning methods such as classification, clustering, and anomaly detection.
Strong programming skills in one or more languages such as Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data or compute frameworks.
Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
Experience delivering results on ambiguous, loosely defined problems, working with others.
Rigorous analytical thinking, including the ability to question assumptions, reason through a problem, and justify a recommendation with sound evidence.
Preferred Qualifications
Experience deploying machine learning in resource-constrained or real-time environments, such as on-device deployment, model compression, or optimizing for inference budgets.
Experience with distributed data and compute frameworks such as Spark, Ray, or Daft.
Familiarity with privacy-preserving machine learning techniques.
Background in fraud detection, risk modeling, or security-focused machine learning.
Familiarity with iOS development.
We're open to a range of specializations and are excited by candidates who bring a differentiating strength to the team, whether that's a research background, deep systems thinking, or expertise we don't yet have. Tell us what you'd add.
The On Device Insights team at Apple develops machine learning models that run directly on users' devices to protect them from fraud, holding themselves to an exceptionally high bar for privacy. As part of the Wallet Intelligence and Machine Learning team, you will help secure users' digital lives across Apple's devices - including Apple Pay and Apple Wallet - without sacrificing privacy. This is a mission-driven team that thrives on hard problems, healthy skepticism, and open collaboration.
Description
We are looking for a Machine Learning Engineer to help develop and launch on-device technologies that keep our users safe, working closely with engineering, security, program management, and business partners.
Our work is applied and pragmatic by necessity. Models must run in real time and in the background on the device without slowing down something as simple as an in-app purchase, which means designing within real constraints like model size, inference budgets, and memory. Because we often need to anticipate fraud rather than react to each new pattern as it appears, we have to be proactive and think ahead. This role is a chance to take ownership of a problem area, build a system-wide understanding of where our models fit, and apply your expertise in machine learning in an innovative and fast-moving environment.
If you're energized by ambiguity, motivated by a meaningful mission, and the kind of person who digs beneath the surface and questions your own assumptions before forming a recommendation, we'd love to hear from you.
Minimum Qualifications
Experience with machine learning methods such as classification, clustering, and anomaly detection.
Strong programming skills in one or more languages such as Python, Scala, or Java.
Experience processing and analyzing data at scale using distributed data or compute frameworks.
Ability to communicate the results of analysis clearly and succinctly to a range of audiences.
Experience delivering results on ambiguous, loosely defined problems, working with others.
Rigorous analytical thinking, including the ability to question assumptions, reason through a problem, and justify a recommendation with sound evidence.
Preferred Qualifications
Experience deploying machine learning in resource-constrained or real-time environments, such as on-device deployment, model compression, or optimizing for inference budgets.
Experience with distributed data and compute frameworks such as Spark, Ray, or Daft.
Familiarity with privacy-preserving machine learning techniques.
Background in fraud detection, risk modeling, or security-focused machine learning.
Familiarity with iOS development.
We're open to a range of specializations and are excited by candidates who bring a differentiating strength to the team, whether that's a research background, deep systems thinking, or expertise we don't yet have. Tell us what you'd add.
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