Netflix

2 months ago

Machine Learning Scientist 5 - Ads Bidding

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Design and implement machine-learning–driven bidding algorithms for ad personalization, optimizing performance against objectives like clicks, conversions, CPA, and ROAS. Build, train, and evaluate models on large-scale production data while handling marketplace dynamics, seasonality, and distribution shifts. Create online/offline evaluation frameworks, influence auction/pricing mechanism design, and partner with product teams to define objectives and communicate results to technical and non-technical stakeholders.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement machine learning–driven bidding algorithms to optimize ad performance against objectives like 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 measure the impact of bidding algorithms and policy changes.
•Inform auction and pricing mechanism design to align bidding algorithms, marketplace efficiency, and business goals.
•Partner with product teams to define bidding objectives, constraints, and trade-offs, and communicate decisions and experiment results to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability InsurancePaid Leave

Key Requirements

•Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related quantitative field.
•Proficiency in Python, Scala, or Java.
•Deep knowledge of machine learning, optimization, and data analysis techniques.
•Experience prototyping and deploying algorithms using large-scale production data.
•Strong ability to translate technical results into business impact, including experience building bidding algorithms.

Experience:Ad techMachine learningProduction data

Education:Master's

Skills:CommunicationCollaborationBusiness acumen

Tech Stack:PythonScalaJava

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Netflix

2 months ago

Machine Learning Scientist 5 - Ads Bidding

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Design and implement machine learning–driven bidding algorithms to optimize ad performance against objectives like 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 measure the impact of bidding algorithms and policy changes.
•Inform auction and pricing mechanism design to align bidding algorithms, marketplace efficiency, and business goals.
•Partner with product teams to define bidding objectives, constraints, and trade-offs, and communicate decisions and experiment results to technical and non-technical stakeholders.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisability InsurancePaid Leave

Key Requirements

•Advanced degree (PhD or Master’s) in Computer Science, Statistics, Mathematics, or a related quantitative field.
•Proficiency in Python, Scala, or Java.
•Deep knowledge of machine learning, optimization, and data analysis techniques.
•Experience prototyping and deploying algorithms using large-scale production data.
•Strong ability to translate technical results into business impact, including experience building bidding algorithms.

Experience:Ad techMachine learningProduction data

Education:Master's

Skills:CommunicationCollaborationBusiness acumen

Tech Stack:PythonScalaJava

Company Brief

Netflix

Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.

Industry: Streaming Platforms

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Los Gatos, United States

Founded: 1997

Glassdoor: 4.1

Website LinkedIn Glassdoor