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Remote Machine Learning Engineer Jobs in Santa Rosa, CA

GCX Healthcare Solutions

Software Engineer

Petaluma, CA · Remote

$125K - $150K/hr

... remote management, and operational insights. You'll join a small, high-impact team (3-4 engineers ... working across: * A Java-based tablet/peripheral management platform * A Python-based IoT system ...

WEX

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

eNett

Senior Backend Engineer - AI Platform

Bodega Bay, CA · On-site +1

$145K - $191K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Seattle, WA; and Portland, ME About the Team/Role We are seeking a seasoned Sr. Software Engineer ...

2K

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

What We Need: We're seeking a Senior Engineer with a passion for server-side development to join ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

Visual Concepts

Senior Engineer, Server - NBA 2K

Novato, CA · On-site +1

$130K - $174K/yr

What We Need: We're seeking a Senior Engineer with a passion for server-side development to join ... Love for video games (not just ours!) This is a fully remote role that may be based anywhere in the ...

Block

Senior Software Engineer, Cash App Taxes

Bodega Bay, CA · On-site +1

$145K - $191K/yr

Today, Cash App has thousands of employees working globally across office and remote locations ... As a Senior Software Engineer on our Tax Engine Server Engineering team, you will build and enhance ...

Zenni Optical

Research & Insights Analyst

Novato, CA · Remote

$300/day

Collaborate with Data Engineering, AI/ML, Paid Marketing and Finance to connect research insights ... Lifestyle Spending Account (wellbeing + learning) * Work-from-home stipend (for eligible roles)

Zero21

Founding Senior Engineer

Napa, CA · On-site +1

$138K - $183K/yr

THE ROLE Being one of the first engineering hires at a startup is a special thing - you'll never have a greater impact, you'll never have more opportunity, you'll never get a bigger piece of the pie ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Santa Rosa, CA

Remote Machine Learning Engineer information

See Santa Rosa, CA salary details

$34.4K

$140.8K

$211.6K

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

As of Jul 18, 2026, the average yearly pay for remote machine learning engineer in Santa Rosa, CA is $140,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,500.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are popular job titles related to Remote Machine Learning Engineer jobs in Santa Rosa, CA? For Remote Machine Learning Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Remote Machine Learning Engineer jobs? Cities near Santa Rosa, CA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you

Software Engineer

GCX Healthcare Solutions

Petaluma, CA • Remote

$125K - $150K/hr

Full-time

Re-posted 12 days ago

Job description

Lilitab, a subsidiary of GCX Corporation, is a leading provider of innovative tablet kiosk and mounting solutions for enterprise use. Our patented technologies, including the MagDOCK system, enable organizations across industries—such as retail, healthcare, hospitality, and events—to securely deploy tablets and self-service technologies that are adaptable, future-proof, and built to enhance customer engagement. As part of GCX, a leader in medical carts and medical mounting solutions, Lilitab combines entrepreneurial agility with the backing and resources of a market leader
About the Role

Lilitab/GCX is building next-generation IoT fleet management software for medical carts and connected healthcare devices used in hospitals nationwide. We’re looking for a Software Engineer who thrives across the full stack—from Linux-based device clients to modern cloud platforms.

In this role, you’ll design and build systems that connect physical hardware to cloud services, enabling healthcare organizations to provision, monitor, and manage thousands of devices at scale. You’ll work on a small, highly collaborative team with significant ownership and direct impact on product direction.

This is a hands-on engineering role, not a maintenance position—you’ll be building new features, shaping architecture, and helping unify multiple platforms into a single, scalable system.

What You’ll Do
  • Build Linux-based client applications that bridge hardware peripherals to cloud services (e.g., serial, HID, system interfaces)
  • Develop webview-based device UIs with JavaScript-to-native/system integrations
  • Design and implement Spring Boot REST APIs and React-based frontends
  • Create and enhance web-based admin interfaces for provisioning, monitoring, configuration, and analytics
  • Extend and maintain an existing Java/Jersey-based fleet management portal
  • Support and evolve a Python/Django IoT platform
  • Implement API proxy and composition patterns to integrate legacy and modern systems
  • Design and optimize PostgreSQL schemas, including hierarchical data models
  • Work with AWS cloud services, including IoT Core, Greengrass, ECS, S3, Lambda, and Cognito
  • Build and deploy containerized applications using Docker and CI/CD pipelines
  • Contribute to system integration design between embedded devices and cloud platforms
  • Troubleshoot and resolve complex production issues
  • Document technical designs, APIs, and operational processes
  • Collaborate on architecture, code reviews, and engineering best practices
Required Qualifications
  • 7–15 years of software engineering experience
  • Must reside within a 50-mile radius of Petaluma, CA
  • Must be authorized to work in the United States
  • Strong experience building IoT or hardware-adjacent applications on Linux systems
  • Proficiency with:
    • Java (Spring Boot, REST APIs, Maven)
    • Python/Django
    • React (hooks, state management, component architecture)
  • Solid Linux systems experience (CLI, system-level debugging)
  • Experience with PostgreSQL (schema design, query optimization, migrations) and familiarity with MySQL
  • Hands-on experience with AWS services (ECS, S3, Lambda, Cognito)
  • Experience with Docker and containerized deployments
  • Familiarity with CI/CD pipelines (GitHub Actions or similar)
  • Strong understanding of REST API design and documentation (OpenAPI/Swagger)
  • Experience working across multiple layers of the stack
Preferred Qualifications
  • Experience with AWS IoT (IoT Core, Greengrass, edge computing)
  • Additional backend experience (e.g., Node.js/Express)
  • Modern Java experience (Spring Boot 3.x, Java 17+ / 21)
  • Experience with IoT device provisioning, telemetry, or fleet management systems
  • Familiarity with time-series data systems (e.g., Timestream, Kinesis)
  • Knowledge of OAuth2 / OpenID Connect / Cognito
  • Experience migrating or consolidating legacy systems
  • Background working with inherited or contractor-built codebases
  • Experience in healthcare, medical devices, or regulated environments
  • Exposure to iOS/iPad application development
About the Team amp; Product

GCX/Lilitab designs and manufactures medical carts and mounting solutions used in healthcare environments across the U.S. Our software team is building IoT solutions that bring these devices online—enabling real-time monitoring, remote management, and operational insights.

You’ll join a small, high-impact team (3–4 engineers) working across:

  • A Java-based tablet/peripheral management platform
  • A Python-based IoT system for medical carts

You’ll play a key role in evolving these into a unified fleet management platform.

What Success Looks Like
  • You take ownership of features end-to-end, from design to deployment
  • You’re comfortable navigating and improving complex, mixed-technology systems
  • You contribute to a growing engineering culture with strong standards and practices
  • You can quickly understand and extend unfamiliar codebases
Core Competencies
  • Cloud Architecture (AWS)
  • IoT amp; Edge Computing
  • REST API Design
  • Java / Spring Boot Development
  • React Frontend Development
  • Database Design amp; Optimization
  • Containerization amp; Deployment (Docker, ECS)
  • System Migration amp; Platform Consolidation
  • Software Development Lifecycle (SDLC)
  • Testing amp; CI/CD
  • Version Control (Git)
Why Join Us
  • Build software that directly impacts healthcare delivery
  • Work on real-world IoT systems connecting hardware and cloud
  • High ownership in a small, fast-moving team
  • Opportunity to shape architecture and engineering practices
  • Be part of a major platform transformation

Apply