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Remote Google Machine Learning Engineer Jobs (NOW HIRING)

Zencastr

Senior Machine Learning Engineer (Remote)

New York, NY · On-site +1

$114K - $157K/yr

We are looking for an outstanding machine learning engineer to join our team! The role will provide ... Experience with cloud technologies (Google Cloud, AWS, Modal) * You are a self-starter who drives ...

Capital One

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Paylocity

Senior Machine Learning Engineer

$125K - $165K/yr

Working in a collaborative fully remote environment with a desire to share ideas and continuously improve * Invested in staying current in machine learning engineering by applying the newest tools ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Capital One

Sr. Lead Machine Learning Engineer

Cambridge, MA · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their ...

Merican

Data Science & Machine Learning Engineer

$117K - $140K/yr

Remote, USA (Client Location ZIP: 01730) Duration: 6 Months Contract to Hire We are seeking an experienced Senior Data Science & Machine Learning Engineer to design, build, and deploy scalable data ...

Capital One

Sr. Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Sr. Lead Machine Learning Engineer

Mclean, VA · On-site +1

$103K - $136K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

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Remote Google Machine Learning Engineer information

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$31.5K

$128.8K

$193.5K

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

As of Jul 12, 2026, the average yearly pay for remote google machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 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, 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.
More about Remote Google Machine Learning Engineer jobs
What cities are hiring for Remote Google Machine Learning Engineer jobs? Cities with the most Remote Google Machine Learning Engineer job openings:
What are the most commonly searched types of Google Machine Learning Engineer jobs? The most popular types of Google Machine Learning Engineer jobs are:
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Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.
Senior Machine Learning Engineer (Remote)

Senior Machine Learning Engineer (Remote)

Zencastr

New York, NY • On-site, Remote

$114K - $157K/yr

Full-time

Re-posted 25 days ago

Job description

The Role
We build end-to-end AI systems, core microservices, and infrastructures by leveraging cutting-edge technologies to impact millions with personalized user experiences everyday.
We are looking for an outstanding machine learning engineer to join our team! The role will provide an opportunity to work on large scale machine learning to improve the podcast creation experience at Zencastr.
You'll join a team of hardworking engineers that are passionate about understanding what drives users' long-term happiness with Zencastr, and how our recommendations and content affects that. As an integral part of the squad, you will collaborate with research scientists, data scientists and other engineers in prototyping and productizing brand-new ML at the intersection of speech processing and long-term user satisfaction.
What You'll Do..
  • Design, research and develop state-of-the-art machine learning applications and algorithms to improve the lives of podcasters and podcast listeners around the world
  • Collaborate with engineering partners and colleagues in large multi-functional efforts to build new product features that advise and enrich Zencastr's various ML services.
  • Drive forward audio and text capabilities within the ML team
  • Work with some of the brightest minds in signal processing

If This Describes You..
  • A postgraduate degree in Machine Learning, Mathematics, Computer Science, or a related quantitative field
  • 5 + years experience in Python
  • 3+ years experience in machine learning research, with a focus on speech
  • 3+ years experience training or deploying neural networks
  • Significant experience with machine learning libraries like PyTorch, Tensorflow, Scikit-Learn
  • Experience with building and operating production-ready ML systems
  • Ability to lead design and implementation of major software components, systems, and features
  • You enjoy quickly building model prototypes
  • Experience with cloud technologies (Google Cloud, AWS, Modal)
  • You are a self-starter who drives your own projects and builds positive relationships with partners and colleagues to solve big multi-functional efforts from start to finish. You are able to succeed with minimal mentorship and process.

Bonus points if you have:
  • Publications in peer-reviewed journals from a related field
  • Experience with modern speech processing frameworks
  • Good dev ops experience
  • Advanced DSP experience
  • MongoDB or SQL experience
  • Experience with unit, integration, and load testing
  • Experience building APIs
  • Experience with Docker containers, Implementing Docker Containers, Container Clustering
  • Experience with container orchestration technology such as Kubernetes a big plus

How to apply:
Apply at https://jobs.ashbyhq.com/zencastr/c6a9c3b0-f260-4820-bb97-e78142eabd1e
We are flexible! For the right candidate we ask: What do you need to do your best work?

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