Machine Learning Scientist, L6 – Live Ads

🕒 June 27

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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

• Define and drive the ML technical roadmap in close partnership with the Live Ads product team, aligning technical investments with business priorities and product direction • Collaborate across horizontal pods to architect and deliver ML solutions spanning forecasting, targeting and personalization, bidding and pacing, auction, and yield optimization • Design and implement machine learning and optimization algorithms to improve ad quality and performance • 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 • 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, including senior leadership

🎯 Requirements

• Advanced degree (PhD or Master's) in Computer Science, Statistics, Mathematics, or a related quantitative field • 7+ years of industry experience building and shipping production ML systems at scale, with demonstrated staff/senior staff-level scope and impact • Deep knowledge of machine learning, optimization, and data analysis techniques • Experience in ad optimization stack, e.g. targeting, ranking, bidding • Experience in Live ads is a huge plus • Proven ability to set technical direction and influence roadmap across teams; experience serving as a vertical or staff-level technical lead is a strong plus • Experience with prototyping and deploying algorithms using large-scale production data • Proficiency in Python, Scala, or Java • Strong business acumen and ability to translate technical results into business impact • 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