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Remote Google Machine Learning Engineer Jobs in Fairfield, CT

AI Engineer

Norwalk, CT ยท On-site +1

This role reports to the VP of Information Technology and is fully remote. Essential Duties ... Two years minimum hands-on experience developing or implementing AI, machine learning, generative ...

New

AI Engineer

Norwalk, CT ยท On-site +1

This role reports to the VP of Information Technology and is fully remote. Essential Duties ... Two years minimum hands-on experience developing or implementing AI, machine learning, generative ...

New

Data Science Tutor

Bridgeport, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Norwalk, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

New Haven, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Stamford, CT ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Showing results 21-40

Remote Google Machine Learning Engineer information

See Fairfield, CT salary details

$32.1K

$131.3K

$197.3K

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

As of Aug 6, 2026, the average yearly pay for remote google machine learning engineer in Fairfield, CT is $131,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,500.00 and $158,000.00 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?

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.

Senior Network Engineer (Senior Enterprise Communications Engineer )

Northwell

Melville, NY โ€ข On-site, Remote

$91K - $158K/yr

Other

Re-posted 15 hours ago


Job description

Senior Network Engineer to design and support enterprise on-premises and cloud networks (Azure/Google). The ideal candidate will have extensive experience with Cisco and Palo Alto technologies and excels in troubleshooting complex issues. This role involves both on-site and remote work opportunities, fostering a collaborative environment for continuous learning and improvement. This is a project-based role that includes an on-call rotation, and we are looking for a strong team player.

HIGHLY PREFERRED:

  • 10 years relevant network experience including hands-on configurations / operational support.
  • Team player committed to the success of the team.
  • Network Management tools (SolarWinds)
  • Excellent troubleshooting and analytical skills
  • Excellent communications and time management skills
  • PALO / CCNP certification is a plus
  • Extensive hands-on experience with routing protocols: EIGRP, BGP
  • Strong understanding of Wireshark captures.
  • Cisco ASA technology
  • Palo Firewalls / Panorama
  • Building and troubleshooting VPNs
  • Citrix Load Balancers
  • Cloud technologies (Google/Equinix/Azure) is a plus
    • Hands on experience with Google and Azure Clouds is a must!
    • VPC peering / VPN concepts, configuration /troubleshooting
    • Log-explorer and filter on flows in question.
    • Understanding of Equinix Partner interconnects
    • Google native load balancers
    • Experience with programming language Terraform
    • Experience with code management tool Git (GitHub)
  • Use of Automation tools (Python) is a plus
  • ACI - is a plus
  • Wireless (Cisco) is a plus

Job Responsibility

1.Responsible for engineering and integrity of the networking and communication system's software, hardware, and configurations.
2.Responsible for identifying, engineering/designing and programming of networking infrastructure and communication applications.
3.Develops knowledge base documents and conducts knowledge transfer among engineering team.
4.Assists in the review and evaluation of project requests and recommends appropriate action.
5.Administers installation and repair services.
6.Responsible for first level problem resolution for all health system locations.
7.Gives guidance and direction to engineering team and outside service technicians.
8.Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors.
9.Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions.

Job Qualification

Bachelor's Degree required, or equivalent combination of education and related experience
3-5 years of relevant experience, required.


*Additional Salary Detail
The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).