2

Remote Google Machine Learning Engineer Jobs in Rancho Cordova, CA

Proficient in mechanical design for manufacturability, including methods like machining, sheet ... Remote flexibility * Flexible time off * Comprehensive benefits package * Career progression * 401k ...

Senior Engineer

Roseville, CA ยท On-site +1

$109K - $150K/yr

This role offers a hybrid work arrangement, allowing you to balance remote work with in-office ... Learning + Development: take on leadership development programs and goal setting to create big ...

Senior Engineer

Sacramento, CA ยท On-site +1

$111K - $153K/yr

This role offers a hybrid work arrangement, allowing you to balance remote work with in-office ... Learning + Development: take on leadership development programs and goal setting to create big ...

next page

Showing results 1-20

Remote Google Machine Learning Engineer information

See Rancho Cordova, CA salary details

$33.6K

$137.4K

$206.4K

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

As of Jul 26, 2026, the average yearly pay for remote google machine learning engineer in Rancho Cordova, CA is $137,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $165,300.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What cities near Rancho Cordova, CA are hiring for Remote Google Machine Learning Engineer jobs? Cities near Rancho Cordova, CA with the most Remote Google Machine Learning Engineer job openings:
Technical Customer Support Engineer, Tier 2 - West Cost (Second shift)

Technical Customer Support Engineer, Tier 2 - West Cost (Second shift)

UVeye

Sacramento, CA โ€ข On-site, Remote

$36 - $43/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Description
At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-centric technology, representing the pinnacle of computer vision, machine learning, and generative AI within the automotive sector.
With over $380M in funding and strategic partnerships with industry giants such as Toyota, Amazon, General Motors, Volvo, and CarMax, our technology is utilized in manufacturing plants, dealerships, wholesale auctions, delivery fleets, security checkpoints, and more. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity, encourages teamwork, and strives for excellence.
We're looking for a Technical Customer Support Engineer Tier II to join our Support team. You'll be part of the Delivery department, working cross-functionally to assist with the installation, configuration, and calibration of our products-while serving as a key problem-solver for our customers and internal teams. In this role, you'll provide real-time technical support to our Field Service Engineers and Field Support Technicians, helping to ensure product stability, reliability, and exceptional customer experience.
This position includes working second shift, hours 2:00 pm - 10:00 pm PST. Fully remote.
A day in the life and how you'll make an impact:
  • Assist in the installation, configuration, and calibration of UVeye products for clients
  • Provide on-site technical support during product installations to ensure proper setup and operation
  • Troubleshoot and resolve customer technical issues related to machine performance and software
  • Monitor, maintain, and update systems to ensure continuous product functionality
  • Prepare detailed documentation and reports on installation and calibration activities
  • Act as a technical point of contact for clients during installation, calibration, and troubleshooting
  • Attend occasional in-person meetings with clients to analyze, troubleshoot, and resolve hardware issues on-site
  • Ensure effective incident management by tracking and resolving technical issues promptly

Requirements
  • 3+ years of experience in Tier II support, systems administration, or QA engineering
  • Bachelor's degree in Computer Science or a related field
  • Proficiency with Linux, Docker, and Kubernetes
  • Strong troubleshooting skills across hardware and software domains
  • Hands-on experience with hardware setup, installation, and calibration
  • Solid understanding of networking (TCP/IP, HTTP, DNS, DHCP)
  • Team-oriented with a customer-first mindset
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with networking equipment (switches, routers, firewalls, load balancers)
  • Comfortable using tools like Zendesk, JIRA, and Confluence
  • Able to work independently and manage multiple priorities under pressure
  • Ability and willingness to work on second shift - hours 2:00 pm - 10:00 pm PST

Ideally, we're looking for:
  • Experience working in startup environments
  • Proficiency in scripting (Bash, Python)
  • Experience with deployment and automation tools such as Terraform and Helm

Benefits we offer:
  • Competitive Medical, Dental, Vision.
  • Company 401k Match.
  • 20 PTO days, Company paid holidays.
  • Career growth as we scale across the US.

Compensation:
UVeye provides salary ranges that comply with the New Jersey State Law on salary transparency in job advertisements. Actual salaries depend on a variety of factors, including experience, qualifications, skills, location, education, and operational needs. The salary range or contractual rate listed does not include bonuses/incentives or other forms of compensation or benefits. The hourly rate for this position is $36 - $43.
Why UVeye:
  • Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections.
  • Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale.
  • Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Check out our Life at UVeye page to learn more about the employee experience.
UVeye is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.