Principal AI Engineer Jobs
Principal AI Engineer jobs are open across technology, finance, healthcare, and defense, from senior staff to distinguished engineer levels, with specializations in large language models, MLOps, and applied research. See the openings below and apply to the ones that match your experience.
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Burbank, CA, US, 91505 New York, NY, US, 10036
Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
Overview
As Principal Product Manager, Ads Monetization, you’ll use machine learning and AI to help Paramount+ and Pluto TV earn more from advertising while keeping the viewing experience great. Sitting within our Consumer AI group, you’ll do two things: lead the product direction for ML-driven improvements to our ad systems, and act as the Ads team’s go-to product partner for AI/ML needs. You’ll work as a senior individual contributor under limited supervision, setting your own priorities and making most product calls individually, with executive team guidance on overall strategy. This is a [hybrid] role.
Primary Responsibilities
- Own the vision, strategy and roadmap for AI/ML-driven ads monetization across Paramount+ and Pluto TV, spanning areas such as ad decisioning, result optimization, pacing, forecasting and personalization. Make self-directed decisions on prioritization, trade-offs and sequencing, and align the roadmap with Consumer AI and Ads executive team.
- Drive ML-powered optimization of ad systems by partnering with data scientists and ML engineers to define model objectives, constraints and success metrics. Balance revenue, viewer experience and advertiser outcomes, and decide independently which model and product bets to pursue.
- Serve as the AI/ML product partner to the Ads team. Gather needs from Ad Sales, Ad Operations, Planning and Finance, and shape them into AI/ML solutions (including generative AI workflows). Prioritize requests independently, and align on cross-team commitments with Ads product leadership.
- Define requirements and evaluation frameworks for ML-based products, including data needs, experiment design, A/B testing and ongoing model performance monitoring. Use results to quantify revenue impact and decide whether to scale, iterate or stop initiatives.
- Influence stakeholders at all levels, including Engineering, Data Science, Ad Sales, Ad Operations, Finance, Legal and Privacy. Present strategy, results and trade-offs to senior executives. Decisions with significant budget, privacy or advertiser-contract implications are made jointly with the hiring manager or relevant committees. Raise the bar for product practice by mentoring other product managers, setting standards for how ML products are scoped and measured, and sharing learnings across Consumer AI. Provide indirect executive team through influence, with no formal direct reports at this time.
-
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Statistics, Business or a related field, or equivalent practical experience.
- 10+ years of product management experience, including 5+ years managing advertising, ad tech or monetization products.
- Extensive knowledge of how ML is applied to advertising problems such as ranking, prediction, forecasting and optimization, with 3+ years shipping ML-driven products in partnership with data scientists and ML engineers.
- Working knowledge of the ad serving and decisioning stack, including auctions, pacing, outcome management, and supply- and demand-side technologies.
- Expertise in experimentation and measurement, including defining success metrics, A/B testing and interpreting results to drive decisions.
- Knowledge with generative AI and LLM product concepts, including evaluation and iteration.
- Proven ability to lead cross-functionally without direct authority and to communicate clearly with senior executives.
Preferred Skills
- Experience with linked TV (CTV), video or live sports advertising.
- Advanced degree or hands-on technical skills (e.g., SQL, Python) for working directly with data.
- Experience with identity, audience signals, clean rooms or privacy-compliant data use in advertising.
- Experience with generative AI applied to ad creative or ad operations workflows.
- Experience mentoring or managing product managers.
#LI-PV1
About Skydance
Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.
ADDITIONAL INFORMATION
Hiring Salary Range: $176,800.00 - 265,200.00.
In compliance with local law, we are disclosing compensation, or a range thereof, for roles where legally required. Actual salaries will vary based on a variety of job-related factors, including but not limited to geographic location, external market data, internal equity, skill set, experience, training, education, and/or performance. Base pay is just one component of our total compensation package. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards.
This position is bonus eligible.
What We Offer:
- Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here.
- Generous paid time off.
- Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.
- Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more.
Skydance is an equal opportunity employer (EOE)
We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.
If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
Burbank, CA, US, 91505 New York, NY, US, 10036
Storytelling is, and will always be, the heart of what we do at Skydance.
Our vision is to build a thriving entertainment ecosystem where stories and worlds are imagined, brought to life and experienced. We create for every age and audience, anchored by the strength of our content and experiences and the depth of our connection with fans. We are creator-first, audience-focused, tech-forward, globally scaled.
Here, you’ll work with talented teams that move fast, think boldly and collaborate with purpose to deliver results. We aim high, champion the best ideas and win together, earning the trust of our employees, creators, partners and audiences every day.
If you’re energized by the opportunity to help build the next-generation global media and entertainment company powered by creativity and technology, we’d be thrilled to welcome you aboard. LET’S GO!
Overview
As Principal Product Manager, Ads Monetization, you’ll use machine learning and AI to help Paramount+ and Pluto TV earn more from advertising while keeping the viewing experience great. Sitting within our Consumer AI group, you’ll do two things: lead the product direction for ML-driven improvements to our ad systems, and act as the Ads team’s go-to product partner for AI/ML needs. You’ll work as a senior individual contributor under limited supervision, setting your own priorities and making most product calls individually, with executive team guidance on overall strategy. This is a [hybrid] role.
Primary Responsibilities
- Own the vision, strategy and roadmap for AI/ML-driven ads monetization across Paramount+ and Pluto TV, spanning areas such as ad decisioning, result optimization, pacing, forecasting and personalization. Make self-directed decisions on prioritization, trade-offs and sequencing, and align the roadmap with Consumer AI and Ads executive team.
- Drive ML-powered optimization of ad systems by partnering with data scientists and ML engineers to define model objectives, constraints and success metrics. Balance revenue, viewer experience and advertiser outcomes, and decide independently which model and product bets to pursue.
- Serve as the AI/ML product partner to the Ads team. Gather needs from Ad Sales, Ad Operations, Planning and Finance, and shape them into AI/ML solutions (including generative AI workflows). Prioritize requests independently, and align on cross-team commitments with Ads product leadership.
- Define requirements and evaluation frameworks for ML-based products, including data needs, experiment design, A/B testing and ongoing model performance monitoring. Use results to quantify revenue impact and decide whether to scale, iterate or stop initiatives.
- Influence stakeholders at all levels, including Engineering, Data Science, Ad Sales, Ad Operations, Finance, Legal and Privacy. Present strategy, results and trade-offs to senior executives. Decisions with significant budget, privacy or advertiser-contract implications are made jointly with the hiring manager or relevant committees. Raise the bar for product practice by mentoring other product managers, setting standards for how ML products are scoped and measured, and sharing learnings across Consumer AI. Provide indirect executive team through influence, with no formal direct reports at this time.
-
Basic Qualifications
- Bachelor’s degree in Computer Science, Engineering, Statistics, Business or a related field, or equivalent practical experience.
- 10+ years of product management experience, including 5+ years managing advertising, ad tech or monetization products.
- Extensive knowledge of how ML is applied to advertising problems such as ranking, prediction, forecasting and optimization, with 3+ years shipping ML-driven products in partnership with data scientists and ML engineers.
- Working knowledge of the ad serving and decisioning stack, including auctions, pacing, outcome management, and supply- and demand-side technologies.
- Expertise in experimentation and measurement, including defining success metrics, A/B testing and interpreting results to drive decisions.
- Knowledge with generative AI and LLM product concepts, including evaluation and iteration.
- Proven ability to lead cross-functionally without direct authority and to communicate clearly with senior executives.
Preferred Skills
- Experience with linked TV (CTV), video or live sports advertising.
- Advanced degree or hands-on technical skills (e.g., SQL, Python) for working directly with data.
- Experience with identity, audience signals, clean rooms or privacy-compliant data use in advertising.
- Experience with generative AI applied to ad creative or ad operations workflows.
- Experience mentoring or managing product managers.
#LI-PV1
About Skydance
Skydance is a next-generation global media and entertainment company, comprised of three business segments: Studios, Direct-to-Consumer, and TV Media. Skydance's portfolio unites legendary brands, including Paramount, Warner Bros., HBO and HBO Max, Paramount+, Pluto TV, CBS, CNN, CBS Sports, TNT Sports, Nickelodeon, Cartoon Network, MTV, Food Network, BET, HGTV, and Comedy Central.
ADDITIONAL INFORMATION
Hiring Salary Range: $176,800.00 - 265,200.00.
In compliance with local law, we are disclosing compensation, or a range thereof, for roles where legally required. Actual salaries will vary based on a variety of job-related factors, including but not limited to geographic location, external market data, internal equity, skill set, experience, training, education, and/or performance. Base pay is just one component of our total compensation package. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards.
This position is bonus eligible.
What We Offer:
- Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here.
- Generous paid time off.
- Complimentary subscriptions to HBO Max, Paramount+, and other Skydance streaming services and digital news products.
- Robust employee engagement opportunities, including access to exclusive screenings and events, speaker series, volunteer activities and more.
Skydance is an equal opportunity employer (EOE)
We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law.
If you are a qualified individual with a disability, you may request a reasonable accommodation during the job application and/or recruitment process. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.
See All 979+ Principal AI Engineer Jobs
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Find Principal AI Engineer JobsPrincipal AI Engineer Job Market
Who's Hiring
- Microsoft24
- Amazon Web Services24
- Booz Allen Hamilton20
- JPMorganChase19
- Amazon17
Top Industries Hiring
- Technology & Software54
- Consulting & Professional Services19
- Electronics & Hardware10
- Banking & Financial Services9
- Education8
What Employers Look For
The qualifications that appear most often in principal AI engineer jobs.
- 8 or more years of experience building and deploying machine learning systems at scale
- Deep expertise in large language models, transformer architectures, or generative AI frameworks
- Proficiency in Python and familiarity with ML infrastructure tools such as Kubernetes and distributed training frameworks
- Demonstrated experience leading technical direction for cross-functional AI or ML teams
- Advanced degree in computer science, machine learning, or a closely related field
- Experience with MLOps practices including model monitoring, versioning, and production deployment pipelines
Tips for Your Principal AI Engineer Job Search
Align your resume to system depth
Principal-level hiring panels look for evidence you've owned full AI system lifecycles, not just model training. Call out decisions you made on inference infrastructure, model serving latency, and production failure modes rather than listing frameworks.
Show cross-functional leadership explicitly
Job descriptions at this level almost always require influencing product and engineering roadmaps. Reframe past projects to show how you shaped technical direction with non-ML stakeholders, not just delivered models to a team that handled the rest.
Apply early to roles that fit
Migrate Mate lists principal ai engineer 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 applied focus
Principal ai engineer roles split hard between applied product work and foundational research. Applying to both without tailoring your materials signals a lack of direction. Identify which track your portfolio supports and target openings that match it.
Prepare a system design narrative for interviews
Expect at least one deep-dive where you walk through an AI system you built from problem framing to deployment. Practice naming the tradeoffs you chose at each stage, not just the final architecture, since interviewers probe your reasoning process.
Negotiate scope alongside compensation
At the principal level, the team size, compute budget, and research versus execution split vary enormously across companies. Ask directly about headcount authority and infrastructure access during offer conversations, since these affect your ability to deliver.
Principal AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most principal ai engineers?
Microsoft, Amazon Web Services, and Booz Allen Hamilton are hiring the most principal ai engineers 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 strong at companies scaling large language model products and internal AI platforms.
How many principal ai engineer jobs are remote?
About 74% of principal ai engineer openings are fully remote or hybrid as of November 2026, reflecting strong remote flexibility at this seniority level. Sub-areas such as applied research, MLOps platform work, and AI safety tend to offer the highest share of fully distributed roles.
How do you become a principal ai engineer?
Most principal ai engineers progress through senior and staff engineering roles, building a record of owning production AI systems end to end. Focus on deepening expertise in one or two AI domains such as NLP or computer vision, take on technical leadership responsibilities in cross-functional projects, publish or present work publicly, and move into roles where you shape architectural decisions rather than execute them.
Can you get hired as a principal ai engineer with limited experience?
Directly landing a principal ai engineer title with limited industry experience is rare, since the role carries organizational authority that companies tie to a demonstrated record. A faster path is targeting a senior or staff ML engineer role first, then building toward principal by owning a high-visibility system, mentoring junior engineers, and driving a roadmap decision that ships to production.
What does the principal ai engineer interview process look like?
The process typically runs four to six rounds and includes a recruiter screen, a technical phone interview on ML fundamentals, one or two system design sessions focused on large-scale AI architecture, a research or coding round depending on the team, and a final set of cross-functional interviews assessing leadership and communication. Hiring panels at this level weight your ability to explain tradeoffs and align technical decisions with business goals heavily.
Where can I find and apply to principal ai engineer jobs?
You can find and apply to principal ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and background, then apply directly to each one that fits.
See All 979+ Principal AI Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Principal AI Engineer Jobs