Research Scientist 5 – Ad Marketplace

🕒 June 27

🇺🇸 United States – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧬 Research Scientist

👻 Ghost score 28%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Design and implement machine learning and optimization algorithms to improve ads marketplace KPIs • Build, train, and evaluate models on large-scale production data • Develop online and offline evaluation frameworks to rigorously measure the impact of model and algorithm improvements • Lead experiments and causal analyses of buyer bidding behavior that directly inform the design of Netflix's auction and marketplace mechanisms • Partner closely with the product team to define optimization objectives, constraints, and trade-offs that align with product and business goals • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven solutions

🎯 Requirements

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, Economics, or related quantitative field • Proficiency in Python, Scala or Java • Deep knowledge of machine learning, optimization, Auction design, pricing, and data analysis techniques • Experience with prototyping and deploying algorithms using large-scale production data • Strong business acumen and ability to translate technical results into business impact • Experience in ad optimization stack is preferred, e.g. targeting, ranking, bidding • Excellent communication and collaboration skills

🏖️ Benefits

• Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • 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