Netflix
Netflix

89 Netflix Research Software Engineer Jobs Hiring Near You

NY · On-site

$196K/yr

Research Software Engineer, Foundational ML Research Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. In most ...

$151K/yr

Research Software Engineer, Foundational ML Research Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. In most ...

Senior Research Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Proactively identify opportunities to make R&D software more accessible, scalable, and self-service for scientists. Requirements: * Bachelor's degree in Computer Science, Engineering, or a related ...

Strong software engineering skills. * Required: Python, TensorFlow, PyTorch * Nice to have: Java ... Netflix Research site * Our long term business view NOTE: This job posting is inclusive of a ...

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Netflix Jobs Information

What is it like to work at Netflix?

Netflix is known for its fast-paced and innovative work environment, where creativity and experimentation are highly valued. The company operates with a flat organizational structure, allowing employees to work closely with their peers and leaders, and has a strong focus on employee growth and development through various training programs and opportunities for advancement. Working at Netflix may appeal to candidates who are passionate about disrupting traditional industries and are eager to be part of a company that prioritizes innovation, diversity, and employee autonomy.

What makes Netflix an attractive place to work?

Netflix is a leading global entertainment company that has revolutionized the way people consume media, with a strong reputation for innovation and disruption in the industry. The company's workplace culture values creativity, collaboration, and employee autonomy, with a focus on fostering a dynamic and inclusive environment that encourages experimentation and growth. As a result, Netflix offers a unique opportunity for professionals to contribute to shaping the future of entertainment, develop their skills, and advance their careers in a fast-paced and ever-evolving industry.

Do workers at Netflix get paid breaks?

Yes. Most people get paid breaks.
89% of people say they get paid breaks.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and January 2026.

Does Netflix pay people when they’re sick?

Yes. Most people get paid when they’re sick.
73% of people say they would get paid if they were sick but scheduled to work.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

At Netflix, are sick days and vacation days separate paid time off?

Only some people have separate paid time off for sick days and vacation.
57% of people say they have to use vacation days when they’re out sick.
Based on data from 7 people who took the Breakroom Quiz between May 2025 and January 2026.

Is the health insurance from Netflix affordable enough for their workers?

Most people say the health insurance costs are okay.
89% of people say the health insurance costs are okay
Based on data from 9 people who took the Breakroom Quiz between May 2025 and January 2026.

Do people get paid time off at Netflix?

Most people get paid time off work.
78% of people say they get paid time off.
Based on data from 9 people who took the Breakroom Quiz between May 2025 and May 2026.

How far ahead of time do people find out their work schedule?

Most people find out their schedule less than four weeks ahead of time.
  • 60% of people with changing schedules find out their shifts one week or less ahead of time.
  • 20% of people with changing schedules find out their shifts two weeks ahead of time.
  • 0% of people with changing schedules find out their shifts three weeks ahead of time.
  • 20% of people with changing schedules find out their shifts four weeks or more ahead of time.

Based on data from 5 people who took the Breakroom Quiz between November 2024 and September 2025.

Do workers at Netflix worry about hours?

Most people don’t worry about getting enough hours.
80% of people report they don’t worry about getting enough hours.
Based on data from 10 people who took the Breakroom Quiz between November 2024 and September 2025.

Do Netflix workers get to choose the shifts they work?

Most people don’t get to choose which shifts they work.
75% report that they don’t have enough control over which shifts they work.
Based on data from 8 people who took the Breakroom Quiz between February 2025 and September 2025.

How easy is it to get time off at Netflix?

Some people find it hard to get time off.
50% of people report it’s hard to get time off.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

Do Netflix managers change schedules at the last minute?

Most managers don’t change people’s schedules at the last minute.
33% of people say their manager changes their shift schedule at the last minute.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and September 2025.

Do jobs at Netflix spill into time workers aren’t paid for?

Sometimes. The job can spill into unpaid time.
44% of people report that their job takes up time that they don’t get paid for.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and September 2025.

How easy is it to take sick days at Netflix?

Most people find it easy to take sick days.
73% of people report that it’s easy to take time off if they are sick.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix feel treated with respect by their managers?

Some people don’t feel treated with respect by their managers.
38% of people say they’re not treated with respect by their managers.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix get to take their breaks without interruption?

Most people get breaks without interruption.
67% of people report that they get to take their breaks without interruption.
Based on data from 12 people who took the Breakroom Quiz between November 2024 and January 2026.

Is it stressful to work at Netflix?

Most people feel stressed here.
77% of people say they often feel stressed at work.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix enjoy their jobs?

Most people enjoy their job.
67% of people report they enjoy their job.
Based on data from 9 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people at Netflix recommend working with their team?

Only some people recommend working with their team.
40% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get enough training when they start at Netflix?

Some people didn’t get enough training when they started.
38% of people report they didn’t get enough training when they started working here.
Based on data from 13 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people get support to advance at Netflix?

Only some people are given support to advance their career here.
In the last year, 43% of people report not being given support to advance their career here.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.

Do people think Netflix’s headquarters understands what’s happening where they work?

Some people think headquarters doesn’t understand what’s happening where they work.
60% of people think that this employer’s headquarters or owners don’t have a good understanding of what’s really happening where they work.
Based on data from 15 people who took the Breakroom Quiz between November 2024 and May 2026.

Do workers feel well informed about how Netflix is doing?

Only some people feel well informed about how the company is doing.
50% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 14 people who took the Breakroom Quiz between November 2024 and May 2026.
Infographic showing various Research Software Engineer job openings at Netflix in the United States as of September 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 61% Physical, 3% Hybrid, and 36% Remote job distribution.

Research Software Engineer, Foundational ML Research

NY • On-site

Google Inc.
Software Development • 10K+ employees

$196K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Key responsibilities

  • Own outcomes and decision making related to foundational machine learning research projects.

  • Solve ambiguous problems and influence stakeholders in the context of ML research and development.

  • Provide technical leadership on high-impact projects, managing project priorities and deadlines.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz


Job description

Research Software Engineer, Foundational ML Research Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.

In most instances, this position requires in-person interviews as part of the hiring process. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; New York, NY, USA.

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field, or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.

  • 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Preferred qualifications:
  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
  • 8 years of experience with data structures and algorithms.
  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.
  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
  • Expertise in statistical modeling or machine learning algorithms.
About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google .

  • Provide technical leadership on high-impact projects, managing project priorities, deadlines, and deliverables.
  • Facilitate alignment and clarity across teams on goals, outcomes, and timelines, while influencing and coach a distributed team of engineers.
  • Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.
  • Prototype and test fundamental algorithmic approaches, and collaborate with researchers and partners to bring solutions into production environments.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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