ML Engineer L5 – Ads Platform Engineering, Forecasting

🕒 June 27

🇺🇸 United States – Remote

💵 $100k - $720k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 12%

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

• Build advertising systems and integrations that power the delivery of ads using our content delivery ecosystem. • Use Netflix investments and innovations to power ads - unique mix of client and server-side ad insertions, state of the art content delivery system, ad encoding recipes, content understanding and metadata. • Deliver ads in a way that’s thoughtful of member’s viewing experience and drive great outcomes for advertisers. • Ensure advertiser brand safety during serving; members only see the most appropriate ads for them. • Build highly performant advertising systems and deliver high impact to the business by monetizing the content slate.

🎯 Requirements

• Productionize models to forecast ad inventory availability and performance. • Predict future inventory needs based on historical data, market trends, and seasonal variations. • Productionized predictive models to forecast the effectiveness of advertising campaigns, including metrics like clicks, impressions, conversions, and ROI. • Bring complex models to life in low-latency real-time advertising environments. • Build scalable simulation solutions to model different inventory scenarios, including demand fluctuations, pricing strategies, and inventory allocation. • Apply modeling and machine learning techniques for business problems at the intersection of product, data science, and engineering. • Collaborate with cross-functional stakeholders from science team, product, engineering, operations, design, consumer research, etc., to productionize and deploy models at scale.

🏖️ 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.