ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Santa Rosa, CA

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 ...

Visual Concepts

Senior Engineer, Server - NBA 2K

Novato, CA · On-site

$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 ...

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 ...

2K

Senior Engineer, Server - NBA 2K

Novato, CA · On-site

$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 ...

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 ...

WUWTA

Customer Success Manager

Bodega Bay, CA · Remote

Remote (U.S.-based) considered; San Francisco Bay Area candidates welcome Travel: Not required ... Triage and escalate technical/product issues to Product, or Engineering with complete, well ...

BPM LLP

Tax Manager or Director - Flowthrough

Santa Rosa, CA · On-site +1

$125K - $175K/yr

Bachelor's degree in accounting, finance, engineering, technology, or related field. * Licensed CPA ... A learning culture with CPA exam resources and bonuses, tuition reimbursement, a coach program, and ...

BPM LLP

Tax Manager or Director - Flowthrough

Santa Rosa, CA · On-site +1

$125K - $175K/yr

Bachelor's degree in accounting, finance, engineering, technology, or related field. * Licensed CPA ... A learning culture with CPA exam resources and bonuses, tuition reimbursement, a coach program, and ...

next page

Showing results 1-20

All 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 Jun 26, 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 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. Achieving this level often requires a strong track record, specialized certifications, and sometimes equity or bonuses as part of compensation packages.

Which 5 jobs will survive AI?

Remote Machine Learning Engineers are likely to continue to be in demand as AI advances, since they develop and maintain AI models and systems. Jobs that require complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled trades, are also expected to persist. Additionally, roles involving oversight, ethical considerations, and human interaction will remain essential despite automation.

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, and cloud platforms. Remote work arrangements depend on the employer's policies and project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.

Is ML full of coding?

A remote machine learning engineer role typically involves significant coding, especially in languages like Python or R, to develop algorithms and models. However, it also requires understanding data, model evaluation, and sometimes deploying solutions, making coding a core but not the sole component of the job.
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
Infographic showing various Remote Machine Learning Engineer job openings in Santa Rosa, CA as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $140,787 per year, or $67.7 per hour.
Senior Software Engineer - Data Acquisition

Senior Software Engineer - Data Acquisition

WEX

Bodega Bay, CA • Remote

$121K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

WEX Inc. rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

8th of 18 rated payment service providers

Job description

This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Portland, ME; Boston, MA; Chicago, IL; Dallas, TX; San Francisco Bay Area, CA; and Seattle/WA.

The Data Acquisition Team is the entry point to WEX's Data-as-a-Service (DaaS) platform-responsible for ingesting, validating, and orchestrating raw data from dozens of internal systems and third-party providers.

As a Senior Software Engineer, you'll play a key role in designing and building robust, scalable, and extensible pipelines that feed the entire data ecosystem at WEX. You'll work across multiple data domains and ingestion patterns-batch, streaming, and event-driven-while ensuring quality, performance, and governance are embedded in every step.

WEX is undergoing a data platform transformation-and this team builds the foundation. Every pipeline you create contributes directly to powering analytics, automation, and product intelligence across all business domains.

If you're passionate about scaling data platforms from the ground up, this is your chance to help shape how WEX ingests and leverages its most valuable asset: data.

What You'll Do

  • Build and maintain high-performance data acquisition pipelines that integrate with a variety of systems across WEX and third-party vendors.

  • Contribute to the development of a modular ingestion platform that enables reusability, reliability, and observability at scale.

  • Implement core pipeline components such as schema validation, transformation orchestration, error handling, and audit logging.

  • Support batch and streaming ingestion flows, ensuring the platform meets varying latency and volume requirements across business units.

  • Ensure traceability, lineage, and security through integration with control plane and governance systems.

  • Participate in code reviews, design sessions, and incident resolution-promoting high standards for code quality and operational reliability.

What You Bring

  • B.Sc. in Computer Science, Engineering, or related technical field; M.Sc. a plus but not required.

  • 4+ years of experience as a software engineer, ideally in high-volume or distributed systems environments.

  • Strong programming skills in Python, Java, Scala, or another systems-focused language.

  • Experience with data integration and ingestion pipelines-you understand what it means to bring data in from source systems, transform it, and deliver it reliably downstream.

  • Solid grasp of engineering fundamentals, including version control, modular design, testing, and performance tuning.

  • AI-Augmented Productivity: Proficiency in using AI coding assistants (e.g., GitHub Copilot, Cursor, or Claude Dev) to accelerate the Software Development Life Cycle (SDLC), including automated unit test generation, refactoring, and documentation.

  • Specification-First Architecture: Deep understanding of specification-driven development. Ability to author and maintain rigorous technical specifications (using OpenAPI, AsyncAPI, or Protocol Buffers) that serve as the "source of truth" before implementation begins.

  • Prompt Engineering for Engineers: Ability to craft complex, context-rich prompts to solve architectural problems, debug legacy systems, and translate business requirements into technical scaffolds.

  • Familiarity with concepts like schema evolution, event-driven architectures, observability, and role-based access control.

  • A collaborative mindset-comfortable working across domains, products, and infrastructure layers.

  • A strong sense of ownership and accountability-you care deeply about building systems that last.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $121,500.00 - $145,500.00

What WEX Inc. employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply