Senior ML Engineer, GenAI - Games

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

443% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior ML Engineer, GenAI - Games USA - Remote At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines. You won't just be prompted with ideas; you'll be building the infrastructure and logic that brings those ideas to players. Key Responsibilities Implementation & Integration: Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows. Feature Prototyping: Work directly with designers to build functional, AI-native gameplay mechanics-such as dynamic narrative systems, procedural asset generation, or intelligent NPC behaviors. Optimization & Inference: Own the performance side of GenAI. You will optimize model latency and memory footprints to ensure AI features don't compromise game frame rates. Pipeline Automation: Develop and maintain "AI superpower" tools for internal teams, such as automated texture generation, level design assistants, or code-completion agents. Technical Mentorship: Provide guidance to mid-level and junior engineers on ML best practices, data privacy, and the ethical implementation of AI in creative spaces. Bridge Research & Production: Translate complex

Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.