Machine Learning Manager Jobs
Machine Learning Manager jobs are open across technology, healthcare, financial services, and e-commerce, from senior individual contributor to director level, with specializations in natural language processing, computer vision, and applied research. Find a role that fits from the openings below and apply directly.
Find Machine Learning Manager JobsLooking for remote work? View remote machine learning manager jobs →Student or new grad? View machine learning manager internships →Overview
Showing 5 of 1,805+ Machine Learning Manager jobs
Job Description:
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry, and we’re looking for a Staff Machine Learning Engineer on the Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!
As a Staff Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will oversee a sophisticated suite of data science systems making large-scale business predictions across the open web, social networks, video, and mobile apps. At the Staff level, you are expected to be a technical pillar for the organization. You will take ownership of open, highly ambiguous business problems and translate them into scalable ML architectures. You will define technical roadmaps, set the standard for ML engineering practices, and push the boundaries of applied machine learning to deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage, and you will cultivate it by mentoring talent and raising the technical bar across multiple teams. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds. We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.
What you’ll get to do:
- Technical Leadership & Vision: Drive the architectural vision and system design for our core AI/ML-based services.
- Act as the technical lead for complex, multi-quarter initiatives from inception to global deployment.
- Architect at Scale: Design and build large-scale deep learning infrastructure and platforms for distributed model training, ensuring low-latency and high-availability at enterprise scale.
- Cross-Functional Influence: Partner with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
- Translate abstract product requirements into concrete technical designs.
- Act as a Multiplier: Mentor and guide senior and mid-level data scientists and engineers.
- Establish standard methodologies, define code quality expectations, and lead architecture design reviews.
- Infrastructure Mastery: Work with large-scale AI training infra components (accelerators, network fabrics, CUDA, NCCL, RDMA) and big data ecosystems (Databricks, Spark, Kubernetes, Kafka, Prometheus).
- End-to-End Ownership: Design, develop, and support robust CI/CD pipelines for AI/ML services, ensuring models transition smoothly from research into reliable production endpoints.
You should apply if you have most of this experience:
- PhD/Master’s degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
- 7+ years of machine learning experience in industry, with a proven track record of operating at a Lead, Principal, or Staff level.
- System Design & Architecture: Deep expertise in designing complex machine learning systems, ranking infrastructures, and data pipelines that handle massive throughput.
- ML Frameworks: Extensive, production-hardened experience working with frameworks such as PyTorch, JAX, or TensorFlow.
- Production Coding: Strong, production-grade programming skills in Python, Go, Java, or C++, along with a deep understanding of software design principles and algorithms.
- Ambiguity & Execution: Proven ability to thrive in ambiguity, take large unstructured problems, and independently drive them to successful technical resolutions.
- Mentorship: A strong history of collaborating with, elevating, and mentoring engineering talent.
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate’s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - New York, NY
Primary Location Base Pay Range:
$135,100.00 - $231,600.00 Annual
Additional Locations:
USA - Remote
Additional Locations Pay Range:
$119,000.00 - $204,000.00 USD Annual
About Integral Ad Science:
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.
Job Description:
Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry, and we’re looking for a Staff Machine Learning Engineer on the Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!
As a Staff Machine Learning Engineer at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. You will oversee a sophisticated suite of data science systems making large-scale business predictions across the open web, social networks, video, and mobile apps. At the Staff level, you are expected to be a technical pillar for the organization. You will take ownership of open, highly ambiguous business problems and translate them into scalable ML architectures. You will define technical roadmaps, set the standard for ML engineering practices, and push the boundaries of applied machine learning to deliver best-in-class solutions for our clients. Innovation is at the heart of our competitive advantage, and you will cultivate it by mentoring talent and raising the technical bar across multiple teams. The types of challenges we solve have attracted people from industry and academia with diverse backgrounds. We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.
What you’ll get to do:
- Technical Leadership & Vision: Drive the architectural vision and system design for our core AI/ML-based services.
- Act as the technical lead for complex, multi-quarter initiatives from inception to global deployment.
- Architect at Scale: Design and build large-scale deep learning infrastructure and platforms for distributed model training, ensuring low-latency and high-availability at enterprise scale.
- Cross-Functional Influence: Partner with Product Management, Core Engineering, and executive stakeholders to align ML capabilities with business strategy.
- Translate abstract product requirements into concrete technical designs.
- Act as a Multiplier: Mentor and guide senior and mid-level data scientists and engineers.
- Establish standard methodologies, define code quality expectations, and lead architecture design reviews.
- Infrastructure Mastery: Work with large-scale AI training infra components (accelerators, network fabrics, CUDA, NCCL, RDMA) and big data ecosystems (Databricks, Spark, Kubernetes, Kafka, Prometheus).
- End-to-End Ownership: Design, develop, and support robust CI/CD pipelines for AI/ML services, ensuring models transition smoothly from research into reliable production endpoints.
You should apply if you have most of this experience:
- PhD/Master’s degree in a technical field such as computer science, mathematics, statistics, or equivalent years of experience.
- 7+ years of machine learning experience in industry, with a proven track record of operating at a Lead, Principal, or Staff level.
- System Design & Architecture: Deep expertise in designing complex machine learning systems, ranking infrastructures, and data pipelines that handle massive throughput.
- ML Frameworks: Extensive, production-hardened experience working with frameworks such as PyTorch, JAX, or TensorFlow.
- Production Coding: Strong, production-grade programming skills in Python, Go, Java, or C++, along with a deep understanding of software design principles and algorithms.
- Ambiguity & Execution: Proven ability to thrive in ambiguity, take large unstructured problems, and independently drive them to successful technical resolutions.
- Mentorship: A strong history of collaborating with, elevating, and mentoring engineering talent.
IAS Pay Transparency:
The annualized base salary ranges for the primary location, and any additional locations are listed below. Our pay ranges are based on the work location. As part of IAS compensation package, we offer a comprehensive benefits package that includes paid time off, health insurance (medical, dental, vision) as well as PPO, HSA and FSA options and 401k with employer matching contributions. All full-time employee roles include competitive compensation and are eligible for an annual bonus and/or other incentive plans. Each candidate’s compensation package is based on multiple factors, but not limited to, geography, experience, skills, job duties, and business need.
Primary Location:
US - New York, NY
Primary Location Base Pay Range:
$135,100.00 - $231,600.00 Annual
Additional Locations:
USA - Remote
Additional Locations Pay Range:
$119,000.00 - $204,000.00 USD Annual
About Integral Ad Science:
Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.
Equal Opportunity Employer:
IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.
California Applicant Pre-Collection Notice:
We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at compliance@integralads.com.
Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to recruitingagencies@integralads.com. We will get back to you if there's interest in a partnership.
Machine Learning Manager Jobs by Experience Level
Top Cities Hiring Machine Learning Managers
Explore machine learning manager openings in the cities hiring most right now.
See All 1,805+ Machine Learning Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Machine Learning Manager JobsMachine Learning Manager Job Market
Who's Hiring
- TikTok188
- Apple123
- CVS Health90
- ByteDance56
- Meta51
Top Industries Hiring
- Technology & Software116
- Electronics & Hardware31
- Biotechnology & Pharmaceuticals13
- Insurance11
- Science & Research11
What Employers Look For
The qualifications that appear most often in machine learning manager jobs.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Machine Learning Manager Job Search
Quantify model impact on your resume
Machine learning manager resumes stall when they list tools instead of outcomes. Replace 'managed NLP models' with the latency reduction, accuracy lift, or revenue impact your team's models delivered. Hiring managers compare you on measurable results, not tech stacks.
Apply early to roles that fit
Migrate Mate lists machine learning manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by research versus product focus
A machine learning manager role at a research lab expects publications and grant experience, while a product-focused company wants shipped models and cross-functional delivery. Read job descriptions for phrases like 'production systems' or 'state of the art' to target your applications correctly.
Prepare a technical leadership narrative
Interviews will probe how you balance coding depth with people management. Prepare two or three stories where you made a concrete architectural decision, explained the trade-offs to non-technical stakeholders, and coached an engineer through a technical challenge.
Negotiate using scope, not just title
Before accepting an offer, clarify team size, compute budget, and roadmap ownership. A machine learning manager with a three-person team and no GPU budget has a different career trajectory than one owning a ten-person org. Scope shapes your next move more than title does.
Follow up with a technical insight
After a final-round interview, send a follow-up that references a specific problem from the conversation and proposes a brief framing or approach. It demonstrates the research and systems thinking that separates machine learning manager candidates from individual contributors.
Machine Learning Manager Jobs: Frequently Asked Questions
Which companies are hiring the most machine learning managers?
The companies hiring the most machine learning managers right now include TikTok, Apple, and CVS Health, with the largest share of openings in California, Washington, and New York, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in companies with large-scale data infrastructure and active model deployment programs.
How many machine learning manager jobs are remote?
About 56% of machine learning manager openings are fully remote or hybrid as of September 2026, making it one of the more flexible senior technical roles available. Applied research and platform infrastructure sub-areas tend to have the highest share of fully remote positions, while roles tied to on-site hardware or real-time systems more often require in-person presence.
How do you become a machine learning manager?
Start by building a strong record as a machine learning engineer or research scientist, then take on informal leadership by mentoring junior teammates and owning a project end to end. Transition into a formal lead or tech lead role to gain people management exposure. Demonstrate business impact through shipped models, then make the case for a manager title with evidence of team development and cross-functional delivery.
Can you get a machine learning manager job without direct management experience?
Yes, many companies hire senior machine learning engineers into their first manager role when those engineers have led projects, mentored colleagues, and collaborated across teams. Framing your resume around influence, decision-making, and team outcomes rather than individual model work is what moves your application from the individual contributor pile into manager consideration.
What does the machine learning manager interview process look like?
The process typically opens with a recruiter screen covering background and role fit, followed by a technical interview that tests machine learning fundamentals and system design for production ML pipelines. A separate round focuses on people management scenarios and cross-functional communication. Final rounds often include a presentation to leadership covering a past project, a proposed roadmap, or a take-home case study on a relevant modeling problem.
Where can I find and apply to machine learning manager jobs?
You can find and apply to machine learning manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your background and experience level, then apply directly to each one that fits.
See All 1,805+ Machine Learning Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Machine Learning Manager Jobs