Machine Learning Manager Creative Policy Ads

Netflix; Los Gatos (CA); On-site; USD 523,000 - 920,000; Full time

Benefits offered by this job

Health Plans

401(k) Retirement Plan

Flexible time off

Paid leave of absence

Job summary

Netflix in Los Gatos, California, seeks a leader for their Creative & Policy DSE team. This role involves hiring and inspiring a team of Machine Learning Scientists and Data Scientists, focusing on using AI to auto-review creatives and enforce policy restrictions.

The ideal candidate will combine technical skills with superb communication abilities, effectively translating business objectives into actionable analyses. Netflix offers a competitive salary ranging from $523,000 to $920,000, alongside comprehensive benefits and a unique company culture.

Qualifications

• Demonstrated tenacity and resilience in cross-functional projects.
• Ability to assess complex systems with high emotional intelligence.
• Ability to execute technical work and develop roadmaps.

Responsibilities

• Hire, inspire, and grow high-performing Machine Learning Scientists and Data Scientists.
• Develop partnerships with stakeholders across the business.
• Ensure your team produces high-quality technical outputs.

Skills

Leadership experience

Machine Learning

Analytical skills

Communication skills

Experience with multimodal LLMs/VLMs

Team-building

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting‑edge technology. Come be a part of what’s next.

In April 2022, we announced that we are creating a new lower‑priced, ad‑supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better‑than‑linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!

The Creative & Policy DSE team design, develop, and operate algorithms governing creative understanding and policy enforcement, leveraging multimodal LLMs/VLMs. We focus on using Machine Learning & AI to auto‑review creatives, assign attributes, and enforce policy restrictions. Your team is also responsible for extracting insights from Creative data and providing guidance to the business, both strategically and operationally. You are expected to build and lead a strong team with ML/AI and analytical talents, partner closely with Product & Engineering, and operate in a 0‑1 space with high ambiguity.

Responsibilities

• Hire, inspire, and grow high‑performing Machine Learning Scientists, Analytics Engineers, and Data Scientists.
• Lead strong partnerships with stakeholders from across the business - from product, engineering, to consumer insights, content, and strategy.
• Instill an inclusive culture that is innovative and collaborative, both within your team and in the broader organization.
• Develop a team charter and roadmap that optimizes the impact of the team and reflects evolving business needs.
• Act as an ambassador between the Product, Engineering, Strategy, and DSE teams by having a deep knowledge of how the Netflix Ads product works.
• Ensure that your team is producing consistently trustworthy and high‑quality technical outputs that influence & impact the business.

About You (Requirements)

• Demonstrated tenacity, resilience, and leadership experience that enables you to organize and drive cross‑functional projects, overcome challenges, and propose solutions.
• Be both quantitative and qualitative. You should be able to quickly assess and understand complex systems, but also have high EQ, so that you can be a product ambassador to the rest of the organization.
• You are a player‑coach. You can develop roadmaps and strategy, but also execute on technical work and ensure that your team produces consistent high quality outputs.
• Superb communication skills - You must be able to cultivate strong working relationships, communicate effectively, write meticulously, and give outstanding presentations to both technical and creative audiences.
• Experience working with multimodal LLMs, VLMs.
• Experience building and leading hybrid Analytics, Data and ML teams in the Ads space.
• Capacity and passion to translate business objectives into actionable analyses, and use analytics to guide product and business with quantitative recommendations.
• A passion for TV and movies and defining the future of entertainment.

Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $523,000.00 - $920,000.00.

Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family‑forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full‑time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full‑time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal‑opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.