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Remote Google Machine Learning Engineer Jobs in Sunnyvale, CA

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$70 - $75/hr

About the Role We are an IT services consultancy placing a Senior Machine Learning Engineer with ... Azure ML, Amazon SageMaker, and/or Google Vertex AI. * Experience designing HIPAA-compliant AI ...

New

Canals

Machine Learning Engineer

San Francisco, CA · Remote

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining ... We're remote-first, flexible, and distributed across North and South America, bringing together ...

Otter.ai

Machine Learning Engineer

Mountain View, CA · On-site +1

$196K - $221K/yr

As a Machine Learning Engineer, you'll bring your strong software engineering mindset to machine ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

Match Group

Machine Learning Engineer II

Palo Alto, CA · On-site +1

$114K - $156K/yr

Machine Learning Engineers (this role) who focus on modeling and algorithmic innovation * Machine Learning Infrastructure Engineers who build the platforms and tools that enable scalable training ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

Omnissa

Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

EvenUp

Staff Machine Learning Engineer

San Francisco, CA · Remote

$212K - $301K/yr

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how ... Open to remote candidates or 3 days a week hybrid from our Toronto or San Francisco hubs. Benefits ...

EvenUp

Senior Machine Learning Engineer

San Francisco, CA · Remote

$196K - $265K/yr

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

Otter.ai

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$230K - $265K/yr

As a Senior Machine Learning Engineer, you'll bring your strong software engineering mindset to ... The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal ...

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Showing results 21-40

All JobsGoogle Machine Learning Engineer JobsRemote Google Machine Learning Engineer JobsRemote Google Machine Learning Engineer Jobs in Sunnyvale, CA

Remote Google Machine Learning Engineer information

See Sunnyvale, CA salary details

$37K

$151.1K

$227.1K

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

As of Aug 15, 2026, the average yearly pay for remote google machine learning engineer in Sunnyvale, CA is $151,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $181,900.00 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.

What are the most commonly searched types of Google Machine Learning Engineer jobs in Sunnyvale, CA?

The most popular types of Google Machine Learning Engineer jobs in Sunnyvale, CA are:

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For Remote Google Machine Learning Engineer jobs in Sunnyvale, CA, the most frequently searched job titles are:

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Remote Google Machine Learning Engineer jobs near you
Infographic showing various Remote Google Machine Learning Engineer job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $151,130 per year, or $72.7 per hour.

Senior Machine Learning Engineer

Clera

Palo Alto, CA • Remote

$70 - $75/hr

Full-time

Posted yesterday

New

Job description

About the Role

We are an IT services consultancy placing a Senior Machine Learning Engineer with one of our end clients — a growing healthcare technology organization focused on AI and Data Science. This is a W2 contract engagement ideal for an experienced ML engineer who thrives in fast-paced environments, takes strong ownership of complex initiatives, and has a proven track record building production-grade ML solutions within the healthcare industry.

You will join the client's AI and Data Science team and lead end-to-end machine learning efforts spanning the full model lifecycle — from data preparation and feature engineering through to deployment, monitoring, and optimization — all within a HIPAA-compliant, enterprise-scale environment.

What You'll Do

  • Take complete ownership of designing, developing, deploying, and maintaining enterprise-scale machine learning solutions.

  • Build end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, monitoring, and retraining.

  • Design scalable, production-ready ML systems with a focus on high availability, performance, and reliability.

  • Develop and maintain MLOps pipelines including CI/CD, model registry, feature stores, automated deployment, monitoring, and rollback strategies.

  • Monitor production models for model drift, data drift, accuracy degradation, and overall system health.

  • Collaborate cross-functionally with Data Engineers, Software Engineers, Product Managers, Clinical teams, and business stakeholders.

  • Develop REST APIs and integrate ML services into enterprise cloud applications.

  • Optimize models for latency, scalability, reliability, and operational cost.

  • Provide technical leadership on AI/ML initiatives across the team.

  • Ensure compliance with HIPAA, PHI, PII, and enterprise security standards at all stages of development.

What We're Looking For

Required Qualifications

  • 8+ years of professional software engineering and machine learning experience.

  • Strong healthcare industry experience is mandatory; demonstrated ability to work with sensitive healthcare data under HIPAA and related compliance frameworks.

  • Full ML lifecycle expertise: data preprocessing, feature engineering, model development, calibration, deployment, monitoring, and maintenance.

  • Hands-on MLOps experience with a strong ownership mindset.

  • Proficiency in Python and SQL.

  • Experience with distributed computing (Apache Spark) and Databricks in production environments.

  • Practical experience with major cloud platforms: Azure, AWS, and/or GCP.

  • API development and integration skills; strong debugging and performance-tuning capabilities.

  • Excellent communication skills for collaborating with technical and non-technical stakeholders.

Required Technical Skills

  • Python, SQL, Machine Learning, MLOps

  • Databricks, Apache Spark, MLflow

  • Feature Store, Model Registry

  • CI/CD Pipelines, REST APIs

  • Git, Docker; Kubernetes (preferred)

  • Azure / AWS / GCP

Preferred / Nice-to-Have

  • LLMs in production; prompt engineering, RAG, and GenAI experience.

  • Scala proficiency.

  • Managed ML platform experience: Azure ML, Amazon SageMaker, and/or Google Vertex AI.

  • Experience designing HIPAA-compliant AI solutions and distributed ML architectures.

Compensation & Benefits

  • Rate: $70–75/hr on W2 (contract engagement).

  • Visa Sponsorship: Not available — US work authorization required.

Location

Based in Palo Alto, CA. On-site / hybrid arrangement at the client's location.