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Remote Embedded Machine Learning Jobs in California

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · Remote

$111.30K - $152.80K/yr

Assistant : a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

Santa Barbara, CA · Remote

$112.80K - $154.80K/yr

Assistant: a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio, Inc.

Sr. Machine Learning Engineer

Santa Barbara, CA · On-site +1

$136.30K - $179.70K/yr

Assistant: a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

Goleta, CA · Remote

$112.80K - $154.80K/yr

Assistant : a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

San Diego, CA · Remote

$111.30K - $152.80K/yr

Assistant: a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

CA · Remote

$123.10K - $169.10K/yr

Assistant: a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

AppFolio

Sr. Machine Learning Engineer

San Francisco, CA · Remote

$123.10K - $169.10K/yr

Assistant : a GenAI copilot embedded across the product experience * Flows: an agentic workflow ... Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110.10K - $150.40K/yr

... remote. What you'll do: * Independently pursue cutting edge research in AI applied to biological ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

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Remote Embedded Machine Learning information

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

To thrive as a Remote Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer science, electrical engineering, or related fields. Familiarity with microcontrollers, edge AI frameworks (such as TensorFlow Lite or Edge Impulse), and version control systems is typically required. Strong problem-solving skills, effective communication, and self-motivation are essential soft skills for collaborating remotely and troubleshooting complex issues. These skills ensure successful deployment of intelligent solutions on resource-constrained devices and effective teamwork in distributed environments.

What are some common challenges faced by Remote Embedded Machine Learning Engineers, and how can they be addressed?

Remote Embedded Machine Learning Engineers often encounter challenges related to hardware access, debugging embedded devices remotely, and collaborating with cross-functional teams across time zones. To address these, it's important to set up robust remote development environments, use simulation tools when physical hardware isn't available, and establish clear communication channels for effective teamwork. Regular virtual meetings and detailed documentation also help ensure alignment and smooth progress, despite the remote nature of the work.

What is a Remote Embedded Machine Learning Engineer?

A Remote Embedded Machine Learning Engineer is a professional who develops and deploys machine learning models on embedded systems like microcontrollers, IoT devices, and edge hardware, all while working remotely. Their work involves optimizing algorithms to run efficiently on devices with limited computing power, memory, and battery life. These engineers typically use frameworks such as TensorFlow Lite or TinyML to design intelligent features that operate directly on hardware, enabling real-time decision-making without relying heavily on cloud connectivity. They collaborate with cross-functional teams and often troubleshoot both software and hardware issues from a remote location.

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

AspectRemote Embedded Machine LearningRemote Data Scientist
Required CredentialsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; experience with embedded systems and ML frameworksBachelor's or Master's in Data Science, Statistics, or related fields; proficiency in data analysis and ML algorithms
Work EnvironmentEmbedded hardware devices, IoT systems, real-time processing environmentsCloud platforms, data analysis labs, remote offices
Employer & Industry UsageTech companies, IoT device manufacturers, automotive, roboticsFinance, healthcare, marketing, tech firms

Remote Embedded Machine Learning specialists focus on integrating ML models into embedded hardware for real-time applications, often working with IoT and robotics. In contrast, Remote Data Scientists analyze large datasets to extract insights, primarily working in cloud or office environments. Both roles require strong analytical skills but differ in technical focus and work settings.

What are the most commonly searched types of Embedded Machine Learning jobs in California? The most popular types of Embedded Machine Learning jobs in California are:
What are popular job titles related to Remote Embedded Machine Learning jobs in California? For Remote Embedded Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Embedded Machine Learning jobs in California look for? The top searched job categories for Remote Embedded Machine Learning jobs in California are:
What cities in California are hiring for Remote Embedded Machine Learning jobs? Cities in California with the most Remote Embedded Machine Learning job openings:
Remote Embedded Machine Learning jobs near you
Infographic showing various Remote Embedded Machine Learning job openings in California as of May 2026, with employment types broken down into 49% Full Time, and 51% Part Time. Highlights an 93% Physical, and 7% Remote job distribution.

Principal Machine Learning Engineer

NxT Level

San Francisco, CA • On-site, Remote

Other

Posted 21 days ago

Job description

Position Overview:
Our client is seeking a Principal Software Engineer focused on backend development to help us build the infrastructure behind their AI-powered game generation tools. This role will involve the design and development of backend systems, focusing on performance, scalability, and state-of-the-art machine learning integration. You will collaborate with their founders and AI experts to develop and deploy AI-driven features that elevate online multiplayer experiences.

Key Responsibilities:

  • Lead the design, development, and optimization of scalable backend services for machine learning-based video game engines.
  • Create and maintain backend APIs and server-side components to support AI-powered game generation tools.
  • Collaborate with AI teams to integrate advanced machine learning models into game development pipelines.
  • Develop and optimize data pipelines for high-volume, real-time data streaming and machine learning applications.
  • Ensure applications meet high-performance standards and are optimized for reliability in live game environments.
  • Actively participate in the prototyping and iteration of new AI features in a fast-paced, product-driven environment.
  • Lead initiatives to create bespoke training datasets for AI models, ensuring they are effective in real-time gameplay scenarios.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or related field. An advanced degree focused on AI/ML is a plus.
  • 5+ years of experience developing backend systems, with expertise in Python, Golang, or Node.js.
  • Deep experience with machine learning, model training, and inference workflows, with a focus on real-time, high-performance applications.
  • Experience working with cloud providers (preferably AWS) and DevOps tools such as Kubernetes for managing scalable infrastructures.
  • Proven experience integrating AI models, such as GPT or Stable Diffusion, into production environments.
  • Strong problem-solving skills and attention to detail, with a track record of delivering production-ready systems.
  • Experience with large-scale data processing frameworks and tools such as Langchain, Pinecone, or Gantry.
  • A passion for video games and deep enthusiasm for innovative game development technologies.

Why Join Us:

  • Be part of a groundbreaking team working on the future of AI-powered game creation.
  • Collaborate with industry veterans and top-tier AI experts.
  • Flexible work environment with options for remote work.
  • Competitive salary and benefits, with Riot-level compensation.

    Apply