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Remote Machine Learning Engineer Jobs in Downey, CA

Netflix

Software Engineer (L4) - CKG

Los Angeles, CA · On-site +1

You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.Who you are: * You would consider ...

EDO

Senior Platform Engineer

Los Angeles, CA · On-site +1

$112K - $154K/yr

... remote work days. The Role EDO is looking for a Senior Platform Engineer to help accelerate our ... machine learning engineers ship safely and efficiently. Our environment is AWS-heavy and data ...

Prodege LLC

Principal Data Engineer

El Segundo, CA · On-site +1

Data foundations that support machine learning, feature pipelines, experimentation, and decisioning * Hands-on technical leadership across the Data Engineering organization through direct ...

SpaceX

Software Engineer (Starship)

Hawthorne, CA · On-site +1

$145K - $175K/yr

Experience with data analysis and machine learning libraries such as Pandas, NumPy, and PyTorch ... This position is based in Hawthorne, CA and requires being onsite - remote work not considered ...

Magnite

Senior Engineer

Los Angeles, CA · On-site +1

$135K - $175K/yr

Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ... Through a combination of near-real-time data pipelines, machine learning techniques, and real-time ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning ...

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Remote Machine Learning Engineer information

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$32.8K

$133.9K

$201.2K

How much do remote machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote machine learning engineer in Downey, CA is $133,911.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,600.00 and $161,200.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the most commonly searched types of Machine Learning Engineer jobs in Downey, CA? The most popular types of Machine Learning Engineer jobs in Downey, CA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Downey, CA? For Remote Machine Learning Engineer jobs in Downey, CA, the most frequently searched job titles are:
What cities near Downey, CA are hiring for Remote Machine Learning Engineer jobs? Cities near Downey, CA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you

Software Engineer (L4) - CKG

Netflix

Los Angeles, CA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

70th of 76 rated media

Job description

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry "on & off-service". Our flagship product, Netflix KG ("Hitch"), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix's long-term growth.We are looking for a Full Stack Software Engineer to own and scale our online data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful tools, apps, services, and libraries that describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them.Who you are:
  • You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
  • You are proficient in designing, building, and operating API layers that support various front-end user experiences. Experience with GraphQL and Node.js is a big plus.
  • API and SDK development: You have built, maintained, evolved, and/or sunset a variety of APIs and libraries/SDKs.
  • You are proficient in working with Javascript, React, or other similar technologies. Proficiency in Python or Java is a big plus.
  • Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
  • You are willing to learn and own all areas of the software lifecycle: design, development, test, deployment, operation, and support.
  • Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)
  • You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
  • Excited about learning new business domains, demonstrating excellence, and growing your career 
What you will do:
  • Work cross-functionally to build new services, tools, and data models to develop easy-to-use data access patterns for knowledge graphs.
  • Building intuitive user interfaces backed by data in offline systems and APIs
  • Evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions.
  • Regularly learn new systems and tools as the Netflix platform and ecosystem evolve.
  • Understand business requirements and provide tools that empower teams to innovate on top of the Netflix KG
  • Join a stunning team with diverse skill sets (data engineering, machine learning, analytical engineering and software engineering),  partnering closely with data science, analytics, and business counterparts
Netflix offers amazing co-workers, new technology, fascinating analytical and technical challenges, and a Freedom & Responsibility Culture that's truly outstanding. It's worth learning more: http://jobs.netflix.com/cultureOur 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. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits here.Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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