Netflix

3 months ago

Senior Machine Learning Manager, Merchandising and Content Understanding

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Lead a senior group within the Merchandising and Content Understanding Data Science & Engineering organization, driving strategy and end-to-end delivery for multimodal LLM and agentic systems. Own a multi-domain portfolio across research, ML engineering, measurement science, and continuous improvement, and partner cross-functionally on long-term roadmaps. Manage and grow multidisciplinary teams while providing hands-on technical direction at Netflix scale.

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Define and execute strategy for how MLLMs and agentic systems power deep content understanding applications across Netflix.
•Oversee end-to-end initiatives across research, ML engineering, measurement science, and continuous improvement.
•Manage and grow a multidisciplinary organization by attracting and retaining talent and developing technical leaders and managers.
•Shape organizational structure, operating model, and team interfaces to maximize leverage, alignment, and velocity.
•Partner with cross-functional leaders to define long-term roadmaps and guide technical direction using hands-on expertise.

Pay and Benefits

Salary: USD 676,000 - 1,195,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveLife Insurance

Key Requirements

•Proven track record leading multidisciplinary, highly technical algorithmic teams across multiple domains or sub-teams.
•Experience operating at senior-manager (or equivalent) level, setting org-level strategy and managing managers/technical leads.
•Experience taking advanced MLLM and agentic systems from research to production and improving them post-launch at scale.
•Hands-on ML expertise in modern deep learning, with 6+ years hands-on ML experience (or 4+ years with a relevant PhD).
•Master’s or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent practical experience).

Experience:6+ years

Education:Master's in Machine Learning, Computer Science, or closely related field

Skills:LeadershipMentoringCommunicationStrategic thinkingInclusivity

Tech Stack:Machine learningDeep learningMultimodal large language models (MLLMs)LLMsAgentic systemsML engineeringMeasurement science

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

3 months ago

Senior Machine Learning Manager, Merchandising and Content Understanding

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Panama

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Manager level

Key Responsibilities

•Define and execute strategy for how MLLMs and agentic systems power deep content understanding applications across Netflix.
•Oversee end-to-end initiatives across research, ML engineering, measurement science, and continuous improvement.
•Manage and grow a multidisciplinary organization by attracting and retaining talent and developing technical leaders and managers.
•Shape organizational structure, operating model, and team interfaces to maximize leverage, alignment, and velocity.
•Partner with cross-functional leaders to define long-term roadmaps and guide technical direction using hands-on expertise.

Pay and Benefits

Salary: USD 676,000 - 1,195,000 annually

Equity and Bonus:Equity

Perks:Health Insurance401kEquityDisabilityPaid LeaveLife Insurance

Key Requirements

•Proven track record leading multidisciplinary, highly technical algorithmic teams across multiple domains or sub-teams.
•Experience operating at senior-manager (or equivalent) level, setting org-level strategy and managing managers/technical leads.
•Experience taking advanced MLLM and agentic systems from research to production and improving them post-launch at scale.
•Hands-on ML expertise in modern deep learning, with 6+ years hands-on ML experience (or 4+ years with a relevant PhD).
•Master’s or PhD in Machine Learning, Computer Science, or a closely related field (or equivalent practical experience).

Experience:6+ years

Education:Master's in Machine Learning, Computer Science, or closely related field

Skills:LeadershipMentoringCommunicationStrategic thinkingInclusivity

Tech Stack:Machine learningDeep learningMultimodal large language models (MLLMs)LLMsAgentic systemsML engineeringMeasurement science

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