Machine Learning Scientist 6, Creative & Policy - Ads

Netflix, Inc.
Los Gatos, CA, United States
2 days ago
Apply on www.gamesjobsdirect.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Data Analysis Machine Learning Large Language Models

Job description

  • 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.

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.

Benefits & conditions

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 $600,000.00 - $1,066,000.00.

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.

About the company

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!

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.gamesjobsdirect.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · World Congress 2023

2:36 min

Applying supervised machine learning for practical rule extraction

Katja Träumner

3:32 min

Fundamentals and limitations of large language models

Krzystof Czieslak · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

3:23 min

Exploring specialized career paths within the data science ecosystem

Julian Joseph · LIVE

Videos

See all

Related articles

See all