Machine Learning Scientist 5 – Ads Bidding

🕒 July 8

🏄 California – Remote

🏄 California – Remote

💵 $466k - $750k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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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–driven bidding algorithms that optimize ad performance against objectives such as Clicks, Conversions, CPA and ROAS • Build, train, and evaluate bidding algorithms on large-scale production data, ensuring robustness to marketplace dynamics, seasonality, and distribution shifts • Develop online and offline evaluation frameworks to rigorously measure the impact of bidding algorithms and policy changes • Inform and influence auction and pricing mechanism design, ensuring alignment between bidding algorithms, marketplace efficiency, and business goals • Partner closely with the product team to define bidding objectives, constraints, and trade-offs that align with product and revenue goals • Communicate technical decisions, trade-offs, and experiment results to both technical and non-technical stakeholders, driving understanding and adoption of ML-driven bidding solutions

🎯 Requirements

• Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or related quantitative field • Proficiency in Python, Scala or Java • Deep knowledge of machine learning, optimization, 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 building bidding algorithms • 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