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Remote Senior Machine Learning Engineer Jobs in Santa Clara, 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 one of our end clients -- a growing healthcare technology organization focused on AI and Data Science.

New

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Senior Machine Learning Engineer to lead the development of these foundational AI systems within the Unity engine, empowering creators to build smarter, more responsive in-game ...

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 machine learning in order to scale and optimize our ML systems-creating and transforming innovative ...

Roku

Senior Machine Learning Engineer

San Jose, CA · Remote

$229K - $367K/yr

  • Medical

  • Life

  • PTO

We're looking for seasoned engineers with machine learning backgrounds to support this mission. Examples of problems include improving ad relevance, inferring demographics, optimizing yield, and more.

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 part of an Agile team dedicated to productionizing machine learning applications and systems at scale.

Apple

Senior Machine Learning Engineer, Proactive

Santa Clara, CA · On-site +1

$184K - $324K/yr

  • Medical

  • Dental

  • Retirement

We're looking for a Machine Learning Engineer to help build the next generation of intelligent search and AI experiences technology that understands user intent, context, and personal information ...

Expedia

Senior Machine Learning Scientist

San Jose, CA · Remote

$107K - $146K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Partners closely with product, engineering, and operations while mentoring junior scientists and ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site +1

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Unitytech

Machine Learning Engineer

Mountain View, CA · On-site +1

$117K - $152K/yr

  • Medical

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ... Mountain View, SF/Bay: $117,000 - $152,000 gross USD Bellevue, Seattle, NYC, Remote CA: $104,100 ...

Tapestry

Senior Staff Machine Learning Engineer

Mountain View, CA · On-site +1

$144K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and remote-sensing data, reinforcement learning for physical control systems, and multi-turn ... Serve as a technical force multiplier across the engineering organization by mentoring senior and ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You ...

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All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Santa Clara, CA

Remote Senior Machine Learning Engineer information

See Santa Clara, CA salary details

$88.7K

$168.3K

$225.5K

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

As of Aug 17, 2026, the average yearly pay for remote senior machine learning engineer in Santa Clara, CA is $168,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,900.00 and $189,700.00 per year, depending on experience, location, and employer.

What does a remote senior machine learning engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

How do remote senior machine learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What are the key skills and qualifications needed to thrive as a remote senior machine learning engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Santa Clara, CA?

For Remote Senior Machine Learning Engineer jobs in Santa Clara, CA, the most frequently searched job titles are:

What job categories do people searching Remote Senior Machine Learning Engineer jobs in Santa Clara, CA look for?

The top searched job categories for Remote Senior Machine Learning Engineer jobs in Santa Clara, CA are:

What cities near Santa Clara, CA are hiring for Remote Senior Machine Learning Engineer jobs?

Cities near Santa Clara, CA with the most Remote Senior Machine Learning Engineer job openings:

Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Santa Clara, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $168,287 per year, or $80.9 per hour.

Senior Machine Learning Engineer

Clera

Palo Alto, CA • Remote

$70 - $75/hr

Full-time

Posted 3 days ago

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.