[Hiring] Research Engineer @Netflix

Role Description

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.

The Member Lifecycle and Monetization Data Science & Engineering team plays a critical role for Netflix in driving and accelerating sustainable growth of members and revenue globally, by leveraging data, experimentation & machine learning to develop compelling and persuasive conversion and monetization experiences post-signup to optimize revenue per member. Machine Learning in these areas is a relatively greenfield area, and comes with the potential for 0-1 applications that can drive millions of dollars of impact at Netflix’s scale.

We are looking for a research engineer to join the team to contribute to operating, as well as innovating on growth and commerce algorithms in production, validating through running offline experiments, and building online A/B tests to run in production systems. You’ll partner with other ML engineers, scientists and product managers on cross-functional ML initiatives.

To excel in this role, you should have experience with large-scale applications involving machine learning, a good sense of software engineering principles and design, possess strong communication skills, and the ability to work well in large cross-functional teams.

• Design, implement and operate high impact machine learning models
• Partner closely with cross-functional teams, including researchers, engineers, data scientists, and product managers, to identify high value applications of machine learning, translating business intuition into data-driven solutions
• Work closely with scientists and engineers to create scalable, production-ready ML solutions, taking algorithms from initial concept through to deployment in Netflix's large-scale, real-time systems
• Contribute to the development of better infrastructure for developing and deploying ML models
• Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management

Qualifications

• A degree in Computer Science or a related field
• 4+ years of full time engineering experience
• Curious, self-motivated, and excited about solving open-ended challenges at Netflix
• Excellent software design and development skills in multi-language settings with Scala, Java, and Python and software engineering best practices (e.g. version control, testing, code review, etc.)
• Exceptional communication skills, able to explain complex technical concepts clearly to cross-functional partners
• Broad understanding of core machine learning concepts and their application in large-scale, real-world machine-learning systems
• Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability

Requirements

• Generally, our compensation structure consists solely of an annual salary; we do not have bonuses
• You choose each year how much of your compensation you want in salary versus stock options
• The range for this role is $466,000.00 - $750,000.00. This compensation range will vary based on location

Benefits

• Comprehensive 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