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Sr Machine Learning Engineer Jobs in Campbell, CA

Clera

Senior Machine Learning Engineer

Palo Alto, CA · Remote

$145K - $156K/yr

About the Role This is a Senior Machine Learning Engineer role embedded within a growing AI and Data Science team at a healthcare-focused data and analytics company. You'll take end-to-end ownership ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer ...

Intuit

Senior Machine Learning Engineer

Mountain View, CA · On-site

$171K - $231K/yr

Senior Machine Learning Engineer Join a vibrant team of machine learning engineers helping conceive, code, and deploy AI science models at scale using the latest industry tools. As a Senior engineer ...

Adobe

Senior Machine Learning Engineer

San Jose, CA

$172K - $306K/yr

What You'll Do As a Senior Machine Learning Engineer on the Content Intelligence team, you will lead the development of ML models and systems, to assist with Content Understanding. You will work ...

Unitytech

Senior Machine Learning Engineer

Mountain View, CA · On-site +1

$123K - $169K/yr

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 ...

GEICO

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

They are seeking a Senior Machine Learning Engineer to contribute to the generative AI space, collaborating with a team to design and deploy high-performance AI solutions that drive business value.

SAP

Senior Machine Learning Engineer

Palo Alto, CA · On-site

$140K - $185K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: • Work closely with our lead ...

SAP

Senior Machine Learning Engineer

Palo Alto, CA

$144K - $189K/yr

As a Senior Machine Learning Engineer on this team you will be responsible for helping to design and implement a variety of projects around the GenAI space The Role: · Work closely with our lead ...

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 ...

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All JobsSr Machine Learning Engineer JobsSr Machine Learning Engineer Jobs in Campbell, CA

Sr Machine Learning Engineer information

See Campbell, CA salary details

$68.9K

$146.5K

$212.4K

How much do sr machine learning engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for sr machine learning engineer in Campbell, CA is $146,478.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $166,100.00 per year, depending on experience, location, and employer.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

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

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

What cities near Campbell, CA are hiring for Sr Machine Learning Engineer jobs?

Cities near Campbell, CA with the most Sr Machine Learning Engineer job openings:

Sr Machine Learning Engineer jobs near you
Infographic showing various Sr Machine Learning Engineer job openings in Campbell, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $146,478 per year, or $70.4 per hour.

Senior Machine Learning Engineer

Clera

Palo Alto, CA • Remote

$145K - $156K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

About the Role

This is a Senior Machine Learning Engineer role embedded within a growing AI and Data Science team at a healthcare-focused data and analytics company. You'll take end-to-end ownership of enterprise-scale ML solutions — from raw data through to production — playing a critical part in delivering compliant, high-impact AI capabilities in a regulated healthcare environment.

What You'll Do

  • Design, develop, deploy, and maintain enterprise-scale machine learning solutions from the ground up.

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

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

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

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

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

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

  • Provide technical leadership on AI/ML initiatives and ensure compliance with HIPAA, PHI, and PII standards.

What We're Looking For

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

  • Strong healthcare industry background — this is a firm requirement.

  • Deep expertise across the full ML lifecycle: preprocessing, feature engineering, model development, calibration, deployment, monitoring, and maintenance.

  • Hands-on MLOps experience with strong Python and SQL skills.

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

  • Experience with at least one major cloud platform (Azure, AWS, or GCP).

  • Familiarity with MLflow, Feature Stores, Model Registries, Docker, and Git.

  • Experience building and integrating REST APIs; strong debugging and performance-tuning skills.

  • Working knowledge of HIPAA compliance requirements when handling sensitive healthcare data.

  • Nice to have: LLMs in production, RAG/prompt engineering, GenAI, Kubernetes, Scala, or managed ML platforms (Azure ML, SageMaker, Vertex AI).

  • US work authorization required; visa sponsorship is not available.

Compensation & Benefits

Hourly contract rate of $70–$75/hr on W2, equivalent to approximately $145,600–$156,000 annually. This is a contract (W2) engagement. Visa sponsorship is not available.

Location

Based in Palo Alto, CA. Work arrangement details to be confirmed with the hiring team.