Senior Level AI ML Engineer Jobs
Senior level ai ml engineer jobs put experienced practitioners in charge of technical direction, model architecture decisions, and the cross-functional projects that bring production systems to life. Roles cover 46% remote and hybrid settings across Technology & Software, Electronics & Hardware, and Automotive, with employers like Apple, Tubi, and Jobot hiring at this level now.
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NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We are seeking an experienced Tech Lead to grow out and lead a team of MLOps engineers, data scientists and annotation tooling developers who will be building the backbone of all Machine Learning applied research at the organization. On the one hand, data annotation, validation, split management, curation, and database management for a web-hosted game development platform. On the other, training orchestration, queue management, load balancing, failure recovery, observability.
Key Responsibilities
- Infrastructure buildout: Steward the end-to-end planning, execution, and delivery of the data and training infrastructure for the organization.
- Cross-Functional Coordination: Act as the primary point of contact for the team that serves infrastructure to multiple other machine learning teams.
- Cost Management: Own the cloud spend and implement cost-tracking, resource allocation and lifecycle management.
- Developer Experience: Service mindset in making the day-to-day of ML engineers smooth, balancing engineering rigor with ease of use.
Qualifications
- Undergraduate degree in Computer Science.
- Proven experience as a Tech Lead in an AI/ML infrastructure team.
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
- Prior experience having a team of around 7 direct reports, establishing ways of working, and developing them to be high performing.
- High attention to detail and conscientiousness.
- Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
- Fluency with the entire machine learning lifecycle, including storage orchestration, data provenance, distributed training orchestration and deployment.
- Familiarity with Python, Git and the Unix shell.
- Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, a data platform, and observability dashboard.
Nice to Have
- Graduate degree in Computer Science with a focus on distributed systems, operating systems and virtualization.
- Experience with Adaptive or Lean methodologies and a DevOps culture.
- Familiarity with AWS and ETL orchestration.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $245,000-$270,000 (bonus eligible).
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.
Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
Job Description
We are seeking an experienced Tech Lead to grow out and lead a team of MLOps engineers, data scientists and annotation tooling developers who will be building the backbone of all Machine Learning applied research at the organization. On the one hand, data annotation, validation, split management, curation, and database management for a web-hosted game development platform. On the other, training orchestration, queue management, load balancing, failure recovery, observability.
Key Responsibilities
- Infrastructure buildout: Steward the end-to-end planning, execution, and delivery of the data and training infrastructure for the organization.
- Cross-Functional Coordination: Act as the primary point of contact for the team that serves infrastructure to multiple other machine learning teams.
- Cost Management: Own the cloud spend and implement cost-tracking, resource allocation and lifecycle management.
- Developer Experience: Service mindset in making the day-to-day of ML engineers smooth, balancing engineering rigor with ease of use.
Qualifications
- Undergraduate degree in Computer Science.
- Proven experience as a Tech Lead in an AI/ML infrastructure team.
- Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development or aerospace.
- Prior experience having a team of around 7 direct reports, establishing ways of working, and developing them to be high performing.
- High attention to detail and conscientiousness.
- Ability to translate customer requests and turn them into actionable technical requirement documents in collaboration with ML engineers.
- Fluency with the entire machine learning lifecycle, including storage orchestration, data provenance, distributed training orchestration and deployment.
- Familiarity with Python, Git and the Unix shell.
- Familiarity with collaborative tools such as Jira/Confluence, Slack, a Git server, a data platform, and observability dashboard.
Nice to Have
- Graduate degree in Computer Science with a focus on distributed systems, operating systems and virtualization.
- Experience with Adaptive or Lean methodologies and a DevOps culture.
- Familiarity with AWS and ETL orchestration.
This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website. Salary range: $245,000-$270,000 (bonus eligible).
Additional Information
As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.
If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations by emailing AccessibilitySupport@nbcuni.com.
For LA County and City Residents Only: NBCUniversal will consider for employment qualified applicants with criminal histories, or arrest or conviction records, in a manner consistent with relevant legal requirements, including the City of Los Angeles' Fair Chance Initiative For Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, where applicable.
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Who's Hiring
- Apple13
- Tubi8
- Jobot7
- Deckers Brands7
- SentiLink6
Top Industries Hiring
- Technology & Software67
- Electronics & Hardware16
- Automotive15
- Retail12
- Artificial Intelligence12
Senior Level AI ML Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai ml engineer job?
Employers hiring at this level look for engineers who have owned the full machine learning lifecycle, from problem framing through deployment and monitoring, not just modeling. Demonstrating that you have driven measurable business impact, mentored junior engineers, and made architecture calls that held up in production gives you a clear edge over candidates who have strong technical skills but limited ownership history.
Which companies hire senior level ai ml engineers?
Companies hiring senior level ai ml engineers right now include Apple, Tubi, and Jobot, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of large technology firms building proprietary AI platforms, growth-stage companies scaling ML infrastructure, and enterprises embedding AI into core products across healthcare, finance, and logistics.
Are there remote senior level ai ml engineer jobs?
Yes, remote and hybrid flexibility is common at this level. About 46% of senior level ai ml engineer openings are remote or hybrid as of July 2026, reflecting how many organizations treat senior technical contributors as distributed-team leads. On-site roles do exist, particularly at companies whose work involves sensitive data environments or close collaboration with hardware teams.
What makes an ai ml engineer role senior level?
A senior level role is defined by scope and ownership rather than task execution. Senior engineers set the technical direction for ML systems, evaluate and select frameworks and infrastructure, and are accountable for production reliability at scale. They mentor mid-level engineers, contribute to hiring decisions, and are expected to influence product strategy, not just implement it.
Which industries hire the most senior level ai ml engineers?
Senior level ai ml engineer roles concentrate in Technology & Software, Electronics & Hardware, and Automotive, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they have mature data infrastructure, regulatory pressure to automate responsibly, and strategic investments in AI that require engineers who can lead long-horizon technical programs, not just ship models.