Machine Learning Engineering Manager Jobs
Machine Learning Engineering Manager jobs are open across technology, finance, healthcare, and defense, from senior IC to director level, with specializations in MLOps, applied research, and platform engineering. See the openings below and apply to the ones that match your experience.
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Open roles137+
Top stateCalifornia
Top employerLockheed Martin
Top citySan Francisco, CA
Work type37% Remote
Top industryTechnology
Showing 5 of 137+ Machine Learning Engineering Manager jobs
Senior Manager, Machine Learning Engineering
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Adobe
Senior Manager, Machine Learning Engineering
Seattle, Washington
Added 1d ago
A/AI Machine Learning Engineering Sr Mgr
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Added 1d ago
Lockheed Martin
A/AI Machine Learning Engineering Sr Mgr
Remote
Added 1d ago
A/AI Machine Learning Engineering Sr
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Added 1d ago
Lockheed Martin
A/AI Machine Learning Engineering Sr
Remote
Added 1d ago
A/AI Machine Learning Engineering Sr - E3
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Added 2d ago
Lockheed Martin
A/AI Machine Learning Engineering Sr - E3
King of Prussia, Pennsylvania
Added 2d ago
A/AI Machine Learning Engineering - E2
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Added 2d ago
Lockheed Martin
A/AI Machine Learning Engineering - E2
King of Prussia, Pennsylvania
Added 2d ago
Added 1d ago
Senior Manager, Machine Learning Engineering
Adobe·Seattle, Washington
Job functions:
$179k - $351k/yr
Master's degree
10,000+ employees
Job Description
The Opportunity
At Adobe, we are applying cutting-edge AI to reimagine document experiences and transform knowledge work. We are looking for an exceptional engineering leader to build and lead this team. You will set the technical direction, grow a group of strong ML and software engineers, and turn ambitious, ambiguous ideas into products customers use and trust. This is a high visibility role, with real ownership, and the chance to shape how agentic AI shows up across Adobe’s document products.
What You’ll Do
Define a multi-horizon strategy for our agentic, memory, and retrieval capabilities, grounded in what is possible now and what is coming.
Partner with Product Management to shape the roadmap, communicate what is feasible today and in the near future, and translate customer problems into well-scoped, measurable projects.
Act as a bridge between Adobe’s research labs, product, design, and engineering teams so that efforts are aligned and amplified, and incubated work transitions smoothly to production.
Hire, develop, and retain a diverse team of engineers and ML practitioners. Set clear expectations, give candid feedback, and create growth paths for senior and early-career engineers alike.
Own the full lifecycle of ML product development: system design, data and ML pipelines, evaluation, productization, and MLOps.
Establish rigorous evaluation practices for agent, memory, and retrieval quality, including benchmarks, LLM-as-a-judge approaches, offline and online metrics, and regression testing.
Build a culture of disciplined engineering and fast experimentation, with deep engagement with customers and a bias toward measurable impact.
Manage scope, risk, and delivery using data, analytics, and creative problem solving. Promote responsible AI, security, privacy, and cost-aware design.
What You Need to Succeed
Required Qualifications
10+ years of experience applying modern AI/ML techniques to build ML features or products, including technical leadership of teams and projects.
6+ years of people management experience
Hands-on experience managing engineers or ML practitioners, including hiring, performance management, and career development.
Experience delivering ML or GenAI systems from 0→1 through production and ongoing iteration.
Strong technical foundation in machine learning, software engineering, and distributed systems, sufficient to guide architecture decisions and review designs with senior engineers.
Familiarity with LLM-based applications, including retrieval-augmented generation, agentic architectures, and evaluation of generative systems.
Track record of delivering high-quality, cloud-scale, data-driven products that are widely adopted by large customer bases.
Demonstrated ability to influence technical and non-technical stakeholders, and to lead effectively in a high-growth, matrixed organization.
An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
A relentless pursuit of great customer experiences and continuous improvements to the product."
Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience building or managing teams working on memory systems, retrieval and search infrastructure, or agent frameworks.
Experience with LLM evaluation methodologies, prompt optimization, and observability for LLM and agent workflows.
Experience with MLOps tooling, experiment tracking, and model lifecycle management on AWS, GCP, or Azure.
Experience running incubation or zero-to-one teams, including taking early prototypes through to scaled product adoption.
Track record of collaborating with research organizations and translating research into product.
Experience in document, productivity, or knowledge-work products.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $178,900 - $351,225 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In Washington, the pay range for this position is $215,600 - $312,200
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At Adobe, we are applying cutting-edge AI to reimagine document experiences and transform knowledge work. We are looking for an exceptional engineering leader to build and lead this team. You will set the technical direction, grow a group of strong ML and software engineers, and turn ambitious, ambiguous ideas into products customers use and trust. This is a high visibility role, with real ownership, and the chance to shape how agentic AI shows up across Adobe’s document products.
What You’ll Do
Define a multi-horizon strategy for our agentic, memory, and retrieval capabilities, grounded in what is possible now and what is coming.
Partner with Product Management to shape the roadmap, communicate what is feasible today and in the near future, and translate customer problems into well-scoped, measurable projects.
Act as a bridge between Adobe’s research labs, product, design, and engineering teams so that efforts are aligned and amplified, and incubated work transitions smoothly to production.
Hire, develop, and retain a diverse team of engineers and ML practitioners. Set clear expectations, give candid feedback, and create growth paths for senior and early-career engineers alike.
Own the full lifecycle of ML product development: system design, data and ML pipelines, evaluation, productization, and MLOps.
Establish rigorous evaluation practices for agent, memory, and retrieval quality, including benchmarks, LLM-as-a-judge approaches, offline and online metrics, and regression testing.
Build a culture of disciplined engineering and fast experimentation, with deep engagement with customers and a bias toward measurable impact.
Manage scope, risk, and delivery using data, analytics, and creative problem solving. Promote responsible AI, security, privacy, and cost-aware design.
What You Need to Succeed
Required Qualifications
10+ years of experience applying modern AI/ML techniques to build ML features or products, including technical leadership of teams and projects.
6+ years of people management experience
Hands-on experience managing engineers or ML practitioners, including hiring, performance management, and career development.
Experience delivering ML or GenAI systems from 0→1 through production and ongoing iteration.
Strong technical foundation in machine learning, software engineering, and distributed systems, sufficient to guide architecture decisions and review designs with senior engineers.
Familiarity with LLM-based applications, including retrieval-augmented generation, agentic architectures, and evaluation of generative systems.
Track record of delivering high-quality, cloud-scale, data-driven products that are widely adopted by large customer bases.
Demonstrated ability to influence technical and non-technical stakeholders, and to lead effectively in a high-growth, matrixed organization.
An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
A relentless pursuit of great customer experiences and continuous improvements to the product."
Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience building or managing teams working on memory systems, retrieval and search infrastructure, or agent frameworks.
Experience with LLM evaluation methodologies, prompt optimization, and observability for LLM and agent workflows.
Experience with MLOps tooling, experiment tracking, and model lifecycle management on AWS, GCP, or Azure.
Experience running incubation or zero-to-one teams, including taking early prototypes through to scaled product adoption.
Track record of collaborating with research organizations and translating research into product.
Experience in document, productivity, or knowledge-work products.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $178,900 - $351,225 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In Washington, the pay range for this position is $215,600 - $312,200
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Adobe
Senior Manager, Machine Learning Engineering
Seattle, Washington
Added 1d ago10,000+ employees
Job functions:
$179k - $351k/yr
Master's degree
Job Description
The Opportunity
At Adobe, we are applying cutting-edge AI to reimagine document experiences and transform knowledge work. We are looking for an exceptional engineering leader to build and lead this team. You will set the technical direction, grow a group of strong ML and software engineers, and turn ambitious, ambiguous ideas into products customers use and trust. This is a high visibility role, with real ownership, and the chance to shape how agentic AI shows up across Adobe’s document products.
What You’ll Do
Define a multi-horizon strategy for our agentic, memory, and retrieval capabilities, grounded in what is possible now and what is coming.
Partner with Product Management to shape the roadmap, communicate what is feasible today and in the near future, and translate customer problems into well-scoped, measurable projects.
Act as a bridge between Adobe’s research labs, product, design, and engineering teams so that efforts are aligned and amplified, and incubated work transitions smoothly to production.
Hire, develop, and retain a diverse team of engineers and ML practitioners. Set clear expectations, give candid feedback, and create growth paths for senior and early-career engineers alike.
Own the full lifecycle of ML product development: system design, data and ML pipelines, evaluation, productization, and MLOps.
Establish rigorous evaluation practices for agent, memory, and retrieval quality, including benchmarks, LLM-as-a-judge approaches, offline and online metrics, and regression testing.
Build a culture of disciplined engineering and fast experimentation, with deep engagement with customers and a bias toward measurable impact.
Manage scope, risk, and delivery using data, analytics, and creative problem solving. Promote responsible AI, security, privacy, and cost-aware design.
What You Need to Succeed
Required Qualifications
10+ years of experience applying modern AI/ML techniques to build ML features or products, including technical leadership of teams and projects.
6+ years of people management experience
Hands-on experience managing engineers or ML practitioners, including hiring, performance management, and career development.
Experience delivering ML or GenAI systems from 0→1 through production and ongoing iteration.
Strong technical foundation in machine learning, software engineering, and distributed systems, sufficient to guide architecture decisions and review designs with senior engineers.
Familiarity with LLM-based applications, including retrieval-augmented generation, agentic architectures, and evaluation of generative systems.
Track record of delivering high-quality, cloud-scale, data-driven products that are widely adopted by large customer bases.
Demonstrated ability to influence technical and non-technical stakeholders, and to lead effectively in a high-growth, matrixed organization.
An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
A relentless pursuit of great customer experiences and continuous improvements to the product."
Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience building or managing teams working on memory systems, retrieval and search infrastructure, or agent frameworks.
Experience with LLM evaluation methodologies, prompt optimization, and observability for LLM and agent workflows.
Experience with MLOps tooling, experiment tracking, and model lifecycle management on AWS, GCP, or Azure.
Experience running incubation or zero-to-one teams, including taking early prototypes through to scaled product adoption.
Track record of collaborating with research organizations and translating research into product.
Experience in document, productivity, or knowledge-work products.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $178,900 - $351,225 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In Washington, the pay range for this position is $215,600 - $312,200
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
At Adobe, we are applying cutting-edge AI to reimagine document experiences and transform knowledge work. We are looking for an exceptional engineering leader to build and lead this team. You will set the technical direction, grow a group of strong ML and software engineers, and turn ambitious, ambiguous ideas into products customers use and trust. This is a high visibility role, with real ownership, and the chance to shape how agentic AI shows up across Adobe’s document products.
What You’ll Do
Define a multi-horizon strategy for our agentic, memory, and retrieval capabilities, grounded in what is possible now and what is coming.
Partner with Product Management to shape the roadmap, communicate what is feasible today and in the near future, and translate customer problems into well-scoped, measurable projects.
Act as a bridge between Adobe’s research labs, product, design, and engineering teams so that efforts are aligned and amplified, and incubated work transitions smoothly to production.
Hire, develop, and retain a diverse team of engineers and ML practitioners. Set clear expectations, give candid feedback, and create growth paths for senior and early-career engineers alike.
Own the full lifecycle of ML product development: system design, data and ML pipelines, evaluation, productization, and MLOps.
Establish rigorous evaluation practices for agent, memory, and retrieval quality, including benchmarks, LLM-as-a-judge approaches, offline and online metrics, and regression testing.
Build a culture of disciplined engineering and fast experimentation, with deep engagement with customers and a bias toward measurable impact.
Manage scope, risk, and delivery using data, analytics, and creative problem solving. Promote responsible AI, security, privacy, and cost-aware design.
What You Need to Succeed
Required Qualifications
10+ years of experience applying modern AI/ML techniques to build ML features or products, including technical leadership of teams and projects.
6+ years of people management experience
Hands-on experience managing engineers or ML practitioners, including hiring, performance management, and career development.
Experience delivering ML or GenAI systems from 0→1 through production and ongoing iteration.
Strong technical foundation in machine learning, software engineering, and distributed systems, sufficient to guide architecture decisions and review designs with senior engineers.
Familiarity with LLM-based applications, including retrieval-augmented generation, agentic architectures, and evaluation of generative systems.
Track record of delivering high-quality, cloud-scale, data-driven products that are widely adopted by large customer bases.
Demonstrated ability to influence technical and non-technical stakeholders, and to lead effectively in a high-growth, matrixed organization.
An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.
A relentless pursuit of great customer experiences and continuous improvements to the product."
Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
Preferred Qualifications
Experience building or managing teams working on memory systems, retrieval and search infrastructure, or agent frameworks.
Experience with LLM evaluation methodologies, prompt optimization, and observability for LLM and agent workflows.
Experience with MLOps tooling, experiment tracking, and model lifecycle management on AWS, GCP, or Azure.
Experience running incubation or zero-to-one teams, including taking early prototypes through to scaled product adoption.
Track record of collaborating with research organizations and translating research into product.
Experience in document, productivity, or knowledge-work products.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .
Expected Pay Range: Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $178,900 - $351,225 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In Washington, the pay range for this position is $215,600 - $312,200
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California :
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Colorado:
Application Window Notice
If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Machine Learning Engineering Manager Jobs by Experience Level
See All 137+ Machine Learning Engineering Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsMachine Learning Engineering Manager Job Market
Who's Hiring
- Lockheed Martin28
- Apple18
- Qualcomm7
- Pinterest6
- EY5
Top Industries Hiring
- Technology & Software12
- Electronics & Hardware5
- Science & Research3
- Telecommunications3
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in machine learning engineering manager jobs.
- 7+ years of software engineering or ML experience with 2+ years in people management
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience designing and operating ML pipelines in cloud environments like AWS, GCP, or Azure
- Demonstrated ability to lead cross-functional projects from model development through production deployment
- Strong communication skills for translating ML roadmaps to non-technical stakeholders and executives
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related technical field
Tips for Your Machine Learning Engineering Manager Job Search
Quantify model impact on your resume
Hiring managers for this role want to see outcomes, not tasks. Replace vague bullets with numbers: latency improvements, cost reductions from model efficiency, or revenue attributed to shipped ML features. Generic 'led ML team' descriptions get passed over fast.
Show both IC depth and leadership breadth
Machine learning engineering manager roles expect you to have written production code and managed engineers simultaneously. Your resume should include both technical contributions, like model deployment or feature pipelines, and direct reports or cross-functional team leadership to avoid being screened out.
Apply early to roles that fit
Migrate Mate lists machine learning engineering manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target job descriptions that name your stack
Filter openings by the ML frameworks and infrastructure tools you know best, whether that's PyTorch, TensorFlow, Kubeflow, or Vertex AI. Applying to roles where your stack is listed as preferred gives your application a real advantage over candidates who'd need a ramp-up period.
Prepare a team-building story for interviews
Interviewers for this role almost always ask how you've hired, grown, or restructured an ML team. Have a specific example ready that covers your criteria for evaluating ML engineers, how you handled a performance gap, and what the team looked like after your involvement.
Negotiate scope, not just compensation
When you receive an offer, clarify team size, ownership of model infrastructure, and whether you'll have budget authority for tooling. Machine learning engineering manager roles vary widely in actual scope, and those details affect your day-to-day far more than title does.
Machine Learning Engineering Manager Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning engineering managers?
Lockheed Martin, Apple, and Qualcomm are hiring the most machine learning engineering managers right now, with openings concentrated in California, Texas, and New York, based on current listings on Migrate Mate as of November 2026. Demand is especially high at companies scaling recommendation systems, autonomous systems, and large language model applications.
How many machine learning engineering manager jobs are remote?
About 68% of machine learning engineering manager openings are fully remote or hybrid as of November 2026, reflecting strong demand from employers who build distributed ML platforms. Roles focused on MLOps infrastructure and platform engineering tend to be the most remote-friendly, while positions tied to hardware, robotics, or on-site data centers are more likely to require in-person presence.
How do you become a machine learning engineering manager?
Most machine learning engineering managers move into the role after several years as a senior or staff ML engineer, taking on informal leadership like mentoring and project coordination before formally managing direct reports. Building credibility requires shipping production ML systems, then demonstrating you can grow engineers around you. Some move through a tech lead role first, while others transition from a research background after building engineering experience.
Can you get a machine learning engineering manager role with limited management experience?
Yes, but you'll need to show evidence of informal leadership even without a formal title. Candidates who have led ML project delivery, mentored junior engineers, or coordinated cross-functional model deployments are competitive for first-time manager roles, especially at companies that promote from within. Smaller companies and startups are more open to candidates making this transition than large enterprises with structured management pipelines.
What does the machine learning engineering manager interview process look like?
The process typically involves a recruiter screen, a technical phone interview covering ML systems design and coding fundamentals, and a full loop with panel interviews. Expect dedicated rounds on ML system design, people management scenarios, and cross-functional collaboration. Some companies add a take-home design exercise or ask you to present a past project. The loop often includes interviews with both engineering leadership and product or research counterparts.
Where can I find and apply to machine learning engineering manager jobs?
You can find and apply to machine learning engineering manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience level, industry focus, and preferred location or remote setup, then apply directly to each one that fits.
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