Senior Level Machine Learning Scientist Jobs
Senior level machine learning scientist jobs call for professionals who own model architecture decisions, set technical direction, and lead the research or engineering teams that bring those systems into production. Hiring concentrates across Technology & Software, Automotive, and Electronics & Hardware, with 43% of roles offered remotely or hybrid, and employers like Apple, Tubi, and Netflix hiring at this level now.
Find JobsOverview
Showing 5 of 184+ Senior Level Machine Learning Scientist jobs
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.
See All 184+ Senior Level Machine Learning Scientist Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level Machine Learning Scientist Job Market
Who's Hiring
- Apple13
- Tubi8
- Netflix8
- Jobot7
- Deckers Brands7
Top Industries Hiring
- Technology & Software74
- Automotive15
- Electronics & Hardware15
- Media & Entertainment14
- Manufacturing12
Senior Level Machine Learning Scientist Jobs: Frequently Asked Questions
How do I get a senior level machine learning scientist job?
Employers at this level want candidates who can demonstrate end-to-end ownership of machine learning systems, not just model development. Strong candidates show a portfolio of shipped models with measurable business impact, experience mentoring junior scientists, and the ability to translate ambiguous business problems into research agendas. Publications, open-source contributions, or patents strengthen candidacy, but production impact carries the most weight.
Which companies hire senior level machine learning scientists?
Companies hiring senior level machine learning scientists right now include Apple, Tubi, and Netflix, based on current listings on Migrate Mate as of July 2026. Hiring at this level covers large technology firms with mature AI research divisions, fast-growing startups building core ML infrastructure, and enterprises in finance, healthcare, and defense modernizing their data systems.
Are there remote senior level machine learning scientist jobs?
Yes, remote availability at this level is substantial. About 43% of senior level machine learning scientist openings are remote or hybrid as of July 2026, reflecting how many organizations treat experienced ML scientists as distributed contributors. On-site roles do exist, particularly at labs where access to specialized hardware or cross-functional proximity is a practical requirement.
What makes a machine learning scientist role senior level?
A senior level machine learning scientist role is defined by scope and ownership rather than task execution. Senior scientists set the technical approach for a project or product area, evaluate architectural trade-offs, and are accountable for outcomes rather than just deliverables. They are expected to mentor less experienced scientists, influence roadmap decisions, and engage directly with stakeholders or leadership on research priorities.
Which industries hire the most senior level machine learning scientists?
Senior level machine learning scientist roles concentrate in Technology & Software, Automotive, and Electronics & Hardware, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they operate large-scale prediction, ranking, or optimization systems where senior research expertise directly determines product quality and competitive advantage.