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Remote Senior Machine Learning Engineer Jobs in Palmdale, CA

Senior Data Analyst / Remote

Los Angeles, CA · Remote

$92K - $116K/yr

Develop statistical and machine learning models to answer business questions and make predictions using R, Python, and other programming languages * Develop technical as well as process-based ...

... machine learning techniques in collaboration with data science and ML engineering teams. * 10% - ... As a remote-first company, we are able to hire team members residing in the following US states: AZ ...

Sr. Analytics Engineer (Remote)

Los Angeles, CA · Remote

$112K - $154K/yr

... remote-first company. We currently hire in most U.S. states, with the exception of Hawaii. About the Role We are hiring a Senior Analytics Engineer to join our unified, high-velocity Analytics ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

... machine learning models, including data labeling, content evaluation, and user-based testing. Projects may vary in scope and format, offering both remote and in-person opportunities (such as device ...

Location- Remote, west coast based Reports to the Sr. Director, Engineering- Enterprise Travel is ... Learning & development programs * And yes-we have snacks in our offices Benefits listed herein may ...

Senior Security Engineer

Los Angeles, CA · Remote

$145K - $170K/yr

This is a remote role, serving as a senior security presence and point of escalation across the ... learning and development opportunities, fun events, take advantage of a space to work, and ...

Posted today

... machine learning, and predictive insights that drive operational speed, safety, and efficiency ... With 100+ employees across the world, we support remote-first work with deep investment in our LA ...

... machine learning, and predictive insights that drive operational speed, safety, and efficiency ... With 100+ employees across the world, we support remote-first work with deep investment in our LA ...

Showing results 21-40

Remote Senior Machine Learning Engineer information

See Palmdale, CA salary details

$80.7K

$153.2K

$205.2K

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

As of Aug 7, 2026, the average yearly pay for remote senior machine learning engineer in Palmdale, CA is $153,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,900.00 and $172,600.00 per year, depending on experience, location, and employer.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.
What cities near Palmdale, CA are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Palmdale, CA with the most Remote Senior Machine Learning Engineer job openings:

Software Engineer (L5) - ML - Studio & Creative Production Data Engineering

Netflix

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 27 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 revolutionizing the entertainment industry with world-class technology. We serve 300+ million members across 190+ countries, delivering billions of hours of great movies & TV shows every month in 30+ languages. To meet our members' entertainment needs, Netflix has invested in scaled Content Production & Promotion workflows. With assistance from creative supervision and member feedback data, we have built tools & processes that use technologies like Computer Vision, Graphics, Machine Learning & Generative methods to enable our creators to tell the best version of the story they want while allowing our studio to scale further.
The Content Production & Promotion Data Engineering team, within Data Science and Engineering, is responsible for enabling our partners to develop data-driven workflow tooling that shapes the future of content production and promotion at a global scale. In collaboration with our partners, we unlock hidden insights and enable capabilities by implementing AI and Machine Learning techniques on voluminous and novel datasets (including media like artwork and video) and expose resultant datasets via user friendly API's that hide the underlying complexity.
We are looking for an experienced Machine Learning Software Engineer with a background in Computer Vision to help us build and ship AI workloads at scale.
What will you do?
  • Work alongside researchers, engineers, data scientists, and product managers in designing and building custom datasets for the purpose of training and fine-tuning generative models in a multi-modality fashion with a focus on video.
  • Develop end-to-end frameworks and tools to generate said datasets by leveraging the optimal resources needed to achieve the best possible performance at a reasonable cost.
  • Contribute to broader tooling initiatives that aid in the storage, cataloging, discovery and overall management of ML media.
  • Serve as a key thought partner for stakeholders, cross-functional partners, and our diverse set of team members regarding large/novel datasets in order to drive incremental value to our Media ML system architecture.
  • Engage with the Data Engineering and ML community, internal and external, to learn, to teach, and to contribute to building a great Netflix brand.

About you
  • Beyond talented, you are curious, creative, and tenacious.
  • You are not bothered by ambiguity, you find joy in finding patterns in the most complex of environments and bringing order into chaos.
  • You have a strong foundation in distributed system architecture (with excellent judgment on specific components such as GPU/CPU) and experience in large-scale batch inference and data processing.
  • Excellent software design and development skills in Python. Experience with SQL along with Scala or Java desired.
  • Experience with preparing and normalizing media data for Machine Learning workloads using libraries such as OpenCV, FFMpeg, Pytorch, HugginFace.
  • You are an excellent communicator, capable of explaining complex technical details to both technical and non-technical audiences.
  • 4+ years of full-time work experience in one or more relevant ML/SWE/Data Engineering roles.

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. 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 - $720,000.
Netflix 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.
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.
Job is open for no less than 7 days and will be removed when the position is filled.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

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Netflix logo

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