200+ applicants

Company

Netflix · 20 hours ago

Engineering Manager, Training Platform, Machine Learning Platform

United States

Full-time

Remote

Senior Level, Lead/Staff

$190K/yr - $920K/yr

10+ years exp

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Digital EntertainmentMedia and Entertainment

Comp. & Benefits

H1B Sponsor Likely

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Responsibilities

Leading the machine learning infrastructure teams and projects, with a focus on building state-of-the-art training platforms that all ML training workflows at Netflix depend on.

Providing ML practitioners a seamless experience to handle all aspects of running successful training jobs with different scales and on different hardware platforms.

Building great partnerships with senior engineering and data science leaders.

Establishing positive partnerships with both business and technical leaders across Netflix.

Using judgment to prioritize projects and work closely with partners and customers.

Providing guidance for the team when necessary based on technical acumen.

Building and growing a team of outstanding engineers and managers.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ML platform leadershipLarge-scale ML infrastructureRecommendation model trainingPythonPytorchTensorFlowA/B testing methodologiesMS/in Computer ScienceStrategic thinking

Required

Experience leading large-scale ML platform/infrastructure teams

10+ years of total experience and 3+ years of management experience, with a track record of hiring and growing diverse, highly talented tenured engineers and people leaders deep into their careers to maximize their impact

Strategic & analytical thinking skills combined with curiosity, customer empathy, and the ability to build strong relationships with cross-functional stakeholders

Excellent at communicating context (written via memo and presentations and verbal in large meetings), giving and receiving feedback, fostering new ideas, and empowering others without micromanagement

Comfortable managing a hybrid team with team members and partners distributed across (US) geographies & time zones

Preferred

Experience working with state-of-the-art recommendation model training, foundation model training and fine-tuning

Built platform offerings for ML Researchers, Engineers, and Data Scientists

ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain

Exposure to modern experimentation and A/B testing methodologies for consumer-facing applications

Familiarity with Python and deep learning frameworks like Pytorch and TensorFlow and their usage in industry settings

MS/PhD in Computer Science, Engineering, or a related field

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.

Company

Netflix

Glassdoor

4.1

Netflix is an online streaming platform that enables users to watch TV shows and movies.

Founded in 1997

Los Gatos, California, USA

10001+ employees

https://www.netflix.com

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2023 (146)

2022 (237)

2021 (290)

2020 (239)