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Remote Senior Machine Learning Engineer Jobs in California

Amgen, Inc.

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Willing Tech

Machine Learning Engineer

San Francisco, CA · On-site +1

$172K - $384K/yr

Remote (US/Canada) Sector: Scientific AI / SaaS We're partnering with a pioneering SaaS company at ... Seniority levelMid-Senior level Employment type * Employment typeFull-time Job function * Job ...

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Senior Machine Learning Engineer What you will do Let's do this. Let's change the world. In this ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

Career Renew

Senior ML Engineer

San Francisco, CA · Remote

$180K - $240K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 180-240K USD plus benefits plus equity.

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Remote Senior Machine Learning Engineer information

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 engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and working at large tech companies or in specialized industries can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires a strong educational background, a track record of impactful projects, and expertise in tools like TensorFlow or PyTorch.

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 engineers make $300,000 a year?

Senior machine learning engineers can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and work at large tech companies or in specialized industries. Compensation often includes base salary, bonuses, and stock options, particularly in high-demand markets.

Will MLE be replaced by AI?

As a Senior Machine Learning Engineer, the role involves designing, developing, and maintaining AI systems, which currently require human expertise. While AI tools can automate certain tasks, the need for skilled professionals to interpret data, ensure ethical use, and improve models remains essential. AI is more likely to augment rather than replace the responsibilities of MLEs in the foreseeable future.

What engineers make $200,000 a year?

Senior machine learning engineers often earn $200,000 or more annually, especially with extensive experience, advanced skills in deep learning and data modeling, and proficiency with tools like TensorFlow or PyTorch. Compensation can vary based on industry, location, and company size, with some roles in tech giants or specialized fields reaching or exceeding this level.
What are popular job titles related to Remote Senior Machine Learning Engineer jobs in California? For Remote Senior Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in California look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in California are:
What cities in California are hiring for Remote Senior Machine Learning Engineer jobs? Cities in California with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in California as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.

Senior Machine Learning Engineer

Absurd Ventures

Santa Monica, CA • On-site, Remote

$165K - $200K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago

Job description

We are seeking a Senior Machine Learning Engineer to help shape the future of content systems and real-time gameplay using cutting-edge machine learning techniques. As Senior Machine Learning Engineer, you will work alongside gameplay engineers, producers, designers, and artists to integrate intelligent, adaptive systems for our toolchain and in the realtime game. You will be a key player in evolving how our games are built and experienced. 

Core Responsibilities 

  • Work with team leads to develop and implement a machine learning (ML) strategy to maximize the potential to enhance our workflow and game systems.  Educate the team on what is possible with ML. 
  • Design and deploy LLM techniques, including agentic workflow and toolchain enhancements. 
  • Build pipelines that train on gameplay data and deploy models optimized for real-time inference.  Research and implement on-device small language and other local  models for scalable incorporation of ML features in the live game experience. 
  • Partner with design and gameplay teams to prototype and test ML-powered features such as smart NPC behaviors, simulation approximation and dynamic adaptive environments. 
  • Analyze gameplay telemetry to train models that enhance engagement, retention, and personalization. 
  • Develop internal tools using ML to streamline workflows for production, art, animation, or audio pipelines within Unreal Engine. 
  • Stay current with ML and real-time AI trends and ensure performance scalability across platforms. 
  • Mentor other engineers and promote best practices in integrating ML techniques. 

Core Qualifications 

  • 5+ years of machine learning experience, with at least 2 years integrating models into real-time or interactive environments. 
  • Strong C++ programming experience. 
  • Proficient in Python and ML libraries such as PyTorch or TensorFlow. 
  • Familiarity with training and deploying models for real-time inference with GPU/CPU constraints in mind. 
  • Understanding of supervised and unsupervised learning, reinforcement learning, and generative models. 
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field. 

Plus If 

  • Experience with the Unreal Engine toolset (Blueprints, plugins, editor scripting, etc.). 
  • Experience building or using ML tools in a game development context.  
  • Knowledge of generative models (e.g. Diffusion, GANs, MCPs) for workflow augmentation. 

Description 

  • Full-time job with benefits. 
  • Role is on-site in Santa Monica, CA. 
  • Office is located near downtown Santa Monica - near metro and freeways. 

The base pay range for this position is $165,000 to $200,000 per year. Actual compensation is based on market location and may vary depending on job-related knowledge, skills, and experience. We also offer a competitive package of benefits including vacation time, sick time, company holidays, parental leave, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching to regular full-time employees. Certain roles may also be eligible for bonus and equity. 

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