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Remote Full Stack Machine Learning Engineer Jobs in California

Full Stack Developer

Palo Alto, CA ยท On-site +1

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... Knowledge in Business Intelligence, Artificial Intelligence, and Machine Learning. Who We Are: We ...

Founding Full Stack Engineer

San Francisco, CA ยท On-site +1

$150K - $190K/yr

About the Role An early-stage startup is hiring a Founding Full Stack Engineer to help build its ... Hybrid or remote-friendly within U.S. time zones Equal Opportunity This opportunity is with an ...

Sr Machine Learning Engineer

Thousand Oaks, CA ยท 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 ...

As a Staff Machine Learning Engineer (MLE 50), you will design, build, and deploy semantic matching and ranking models that understand text, images, documents, and other content modalities at Adobe ...

Sr Machine Learning Engineer

Thousand Oaks, CA ยท 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 ...

Senior Machine Learning Engineer

San Jose, CA ยท 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.

We are seeking a sr. full-stack engineer to help build the next version of our platform. This is a ... We also have teams working on embedded systems, computer vision, machine learning, mobile ...

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Remote Full Stack Machine Learning Engineer information

What is a Remote Full Stack Machine Learning Engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are some common challenges faced by remote Full Stack Machine Learning Engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.
What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in California? The most popular types of Full Stack Machine Learning Engineer jobs in California are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in California look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in California are:
What cities in California are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in California with the most Remote Full Stack Machine Learning Engineer job openings:
Senior Machine Learning Engineer, Reinforcement Learning - Egofold

Senior Machine Learning Engineer, Reinforcement Learning - Egofold

Snail Games USA

Beverly Hills, CA โ€ข On-site, Remote

$150K - $185K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Senior Machine Learning Engineer, Reinforcement Learning - Egofold

About Snail Games USASnail Games strives to create the new high bar for gameplay experience in online gaming. We have been a global developer and publisher of digital entertainment since 2009 and are committed to pushing the boundaries of the industry.

About EgofoldEgofold is an AI initiative within Snail Games focused on intelligent agents, simulation, and AI-driven workflows for interactive products. It operates with startup-style speed and broad ownership, backed by an established game company, and is currently building practical prototypes while shaping its longer-term direction.

About the RoleWe are looking for a Senior Machine Learning Engineer with strong depth in machine learning and practical experience applying reinforcement learning and related methods to agent behavior and decision systems. This role is focused on the ML core of Egofold: designing experiments, training and improving models, shaping evaluation loops, and helping successful approaches become usable parts of the broader project.

This is not a siloed research role. The best candidates stay engaged through evaluation, iteration, and practical integration, and bring enough adjacent breadth to be effective in a small, collaborative team. We value curiosity, ownership, sound judgment, and respectful, low-ego collaboration.

Job Type: Full-TimeLocation: Hybrid - Los Angeles Area (1-2 in-office meetings per month)

Responsibilities

  • Design, train, and iterate on machine learning models for intelligent agents and decision-making systems, with an emphasis on reinforcement learning and related approaches.

  • Define and refine state representations, action spaces, reward structures, and evaluation criteria to improve agent behavior.

  • Build and improve practical experimentation and training workflows, including data generation, experiment tracking, and reproducibility.

  • Analyze results, debug model behavior, and make pragmatic tradeoffs between model performance, iteration speed, and system complexity.

  • Work closely with engineers and other partners to help integrate successful ML work into usable product systems.

  • Contribute thoughtful technical input on next-step experiments, tooling, and ML direction as Egofold continues to evolve.

Minimum Requirements

  • Strong foundation in machine learning, with hands-on experience building, training, and iterating on applied ML systems.

  • Professional or substantial project experience with reinforcement learning, agent-based systems, sequential decision-making, or closely related areas.

  • Strong Python skills and experience with modern ML frameworks such as PyTorch.

  • Experience designing experiments, evaluating model behavior, and improving results through systematic iteration.

  • T-shaped capability: deep machine learning expertise plus practical range across one or more adjacent areas such as simulation, evaluation, model integration, systems collaboration, or robotics-adjacent machine learning.

  • Strong problem-solving ability, sound judgment, and comfort working in ambiguous, fast-changing environments.

  • Respectful, low-ego collaborative style and willingness to work beyond a narrow specialty when the work requires it.

Nice to Have Any of the following are valuable, but we do not expect depth in every area:

  • Experience with reinforcement learning methods such as PPO, SAC, DQN, actor-critic, or related approaches.

  • Familiarity with simulation environments, multi-agent systems, game AI, or interactive agent behaviors.

  • Familiarity with C++, inference runtimes, or collaborating with engineers who deploy machine learning models into production systems.

  • Exposure to robotics, embodied AI, or embedded / on-device machine learning constraints.

Salary Range: $150,000 - $185,000 Annually

Why Join the Snail Games USA Team?

  • True focus on work/life balance

  • Paid company holidays, vacation, and separate sick leave

  • Medical, dental, vision, and Life/LTD

  • 401k with company match

Work Authorization Requirements

Applicants must be legally authorized to work in the United States at the time of application. This position does not offer visa sponsorship now or in the future (including H-1B).

Additional Information

As part of the Company's activities in video game development, publishing, and short-form video content creation, certain projects, discussions, or creative materials may include themes, visuals, language, or subject matter that some individuals could find mature, violent, sexual, graphic, or otherwise sensitive in nature (collectively referred to as "Mature Content"). Examples may include, but are not limited to, depictions or descriptions of combat, violence, adult themes or relationships, suggestive or satirical humor, or strong language. Employees are expected to engage with such material in a professional and creative context as part of their job duties.