Senior Level AI/ML Researcher Jobs
Senior level ai/ml researcher jobs put experienced researchers in charge of setting technical direction, owning research outcomes, and leading the teams that move models from concept to production. Hiring concentrates across Technology & Software, Electronics & Hardware, and Automotive, with 41% of openings remote or hybrid, and 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.
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Who's Hiring
- Apple19
- Tubi8
- Jobot7

- Deckers Brands7
- SentiLink6

Top Industries Hiring
- Technology & Software62
- Electronics & Hardware21
- Automotive15
- Artificial Intelligence12
- Retail11
Senior Level AI/ML Researcher Jobs: Frequently Asked Questions
How do I get a senior level ai/ml researcher job?
Employers at this level look for candidates who have led published research, owned end-to-end model development, or driven measurable production impact rather than contributed to projects in a supporting role. A portfolio of first-author work, open-source contributions, or demonstrated influence on an organization's technical roadmap signals the ownership senior roles require. Mentoring experience and cross-functional collaboration also give candidates a clear edge.
Which companies hire senior level ai/ml researchers?
Companies hiring senior level ai/ml researchers right now include Apple, Tubi, and Jobot, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large technology firms running dedicated research labs, enterprise companies scaling AI capabilities, and well-funded startups building foundation-model products.
Are there remote senior level ai/ml researcher jobs?
Yes, remote and hybrid options are common at this level. About 41% of senior level ai/ml researcher openings are remote or hybrid as of July 2026, reflecting the research-oriented nature of the work and employer competition for experienced talent regardless of geography. On-site roles tend to cluster at labs where access to specialized hardware or collaborative research environments is central to the work.
What makes a ai/ml researcher role senior level?
A senior level ai/ml researcher role is defined by scope, ownership, and influence rather than task execution. These researchers independently define research agendas, make architectural decisions, and take accountability for outcomes. They mentor junior and mid-level team members, collaborate with engineering and product leadership, and contribute to the organization's long-term technical strategy, often shaping how an entire team approaches a problem area.
Which industries hire the most senior level ai/ml researchers?
Senior Level ai/ml researcher 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 are actively building proprietary models, scaling inference infrastructure, or applying advanced research to high-value domain problems that require deep technical leadership rather than applied engineering alone.