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Machine Learning Engineer Jobs in San Ramon, CA (NOW HIRING)

Plenful

Machine Learning Engineer

San Francisco, CA · On-site

About the Role We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

Articul8

Machine Learning Engineer

Dublin, CA · On-site

We are seeking machine learning engineers to join our team full-time. As part of your role, you will help us build pipelines of data collection, data extraction, data filtering/synthetic data ...

RXinsider LTD.

Machine Learning Engineer

San Francisco, CA · On-site

$97K - $129K/yr

About The Role We're looking for a Machine Learning Engineer to design, build, and deploy production‑grade ML systems that power the next generation of Plenful's AI platform. You'll own the ...

Hive

Machine Learning Engineer

San Francisco, CA · On-site

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

Maintain, monitor, and enhance deployed machine learning systems to ensure continuous improvement. * Collaborate with software engineers, data scientists, and product teams to integrate AI solutions.

BigHat

Machine Learning Engineer

San Mateo, CA · On-site

$150K - $200K/yr

Machine Learning Engineer Department: DS/ML (Data Science/Machine Learning) Employment Type: Full Time Location: San Mateo, CA Description The role: We are seeking a creative, ambitious Machine ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$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 ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... machine learning models, with a strong understanding of data and model quality Strong programming skills and hands-on experience using one or more deep learning frameworks, such as PyTorch ...

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 ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$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 ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/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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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in San Ramon, CA

Machine Learning Engineer information

See San Ramon, CA salary details

$35.2K

$143.9K

$216.2K

How much do machine learning engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for machine learning engineer in San Ramon, CA is $143,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $173,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs

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

The most popular types of Machine Learning Engineer jobs in San Ramon, CA are:

What are popular job titles related to Machine Learning Engineer jobs in San Ramon, CA?

For Machine Learning Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in San Ramon, CA look for?

The top searched job categories for Machine Learning Engineer jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Machine Learning Engineer jobs?

Cities near San Ramon, CA with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $143,902 per year, or $69.2 per hour.

Machine Learning Engineer

San Francisco, CA • On-site

Plenful
Health Care and Social Assistance • 11 - 50 employees
Learn more about Plenfulexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Job description

About Plenful
Plenful is on a mission to transform healthcare operations from the inside out. Fresh off our $50M Series B and backed by Notable Capital, Bessemer Venture Partners, TQ Ventures, Susa/Kivu Ventures, and other leading investors, we're building the category-defining AI workflow automation platform that healthcare teams rely on to operate smarter, faster, and more efficiently. Our technology empowers healthcare operators across hospital and health systems, pharmacies and payors to eliminate manual work, reduce administrative burden, and improve compliance, all while unlocking critical revenue to fund programs for their in-need patient populations.
Built by healthcare operators for healthcare operators, Plenful is driven by a deep understanding of the challenges facing today's care teams. We're passionate about equipping healthcare workers with world-class tools that deliver real, measurable impact, and we're proud to serve 90+ leading health systems across the country. If you're excited to help shape the future of healthcare, we'd love to meet you. Apply now to join our growing team.
About the Role
We're looking for a Machine Learning Engineer to design, build, and deploy production-grade ML systems that power the next generation of Plenful's AI platform. You'll own the end-to-end lifecycle - from experimentation to production deployment to ongoing model performance.
You'll partner closely with software engineers, product managers, and data teams to build models and intelligent services that automate healthcare workflows, improve operational efficiency, and create great user experiences. This is an engineering-focused role, and your work will directly impact customers.
You'll thrive here if you enjoy solving hard problems with practical engineering solutions, take ownership from idea through production, and balance experimentation with delivering reliable software. We're a fast-moving startup where priorities evolve quickly - you should be energized by that, not worn down by it.
What You'll Do
  • Design, build, and deploy machine learning models into production
  • Develop scalable ML pipelines for training, evaluation, monitoring, and inference
  • Build intelligent services using modern NLP, LLM, classification, recommendation, and prediction techniques where appropriate
  • Collaborate with Product and Engineering to translate customer problems into ML solutions
  • Improve model performance through experimentation, feature engineering, and evaluation
  • Work with structured and unstructured datasets to develop production-ready features
  • Implement monitoring, observability, and retraining strategies to maintain model quality
  • Optimize model latency, scalability, and infrastructure costs
  • Contribute to architecture discussions and engineering best practices
  • Stay current with advancements in machine learning and AI, and bring practical innovations into our platform
You May Be a Fit If
  • You have 5+ years of professional software engineering or machine learning engineering experience
  • You have a Bachelor's degree in Computer Science, Machine Learning, Engineering, Mathematics, or a related technical field (or equivalent practical experience)
  • You have strong programming experience in Python
  • You've built and deployed machine learning models into production environments
  • You have a solid understanding of supervised and unsupervised learning techniques
  • You're familiar with modern ML infrastructure - classical MLOps (MLflow, Weights & Biases, Airflow) and LLMOps (LangFuse/LangSmith for tracing, Ragas/Braintrust for evaluation, vLLM/BentoML for serving, and a vector database such as Pinecone, Weaviate, or Qdrant for RAG pipelines)
  • You've built data pipelines using SQL and distributed data processing tools
  • You're familiar with cloud platforms such as AWS, GCP, or Azure
  • You've deployed containerized applications using Docker and Kubernetes
  • You have a strong grasp of software engineering fundamentals - testing, version control, and CI/CD
  • You communicate well and collaborate easily across technical and non-technical teams

Bonus points if you:
  • Have worked with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, or agentic AI systems
  • Have fine-tuned foundation models or worked with prompt engineering techniques
  • Are familiar with ML infrastructure tools such as MLflow, Weights & Biases, Airflow, Kubeflow, or SageMaker
  • Have experience with vector databases and semantic search technologies
  • Have healthcare, pharmacy, or health tech experience
  • Have worked in a startup or other fast-paced environment

Technologies you'll likely work with: Python, PyTorch, TensorFlow, Scikit-learn, SQL, PostgreSQL, Docker, Kubernetes, AWS, GitHub Actions, REST APIs, vector databases, and LLM APIs (OpenAI, Anthropic, etc.)
Why You'll Love Working Here
  • Mission-Driven, World-Class Team - Join an exceptional group of professionals aligned around a meaningful mission and committed to making an impact
  • Opportunities for Growth - Strengthen your expertise through collaboration with experienced, high-performing leaders across the organization
  • Flexible Hybrid Work Environment - We're remote-first, with meaningful office presence in San Francisco and New York. R&D roles follow a hybrid model, with two days per week in our San Francisco office
Benefits & Perks
  • Healthcare Coverage - Full medical, dental, and vision insurance for you and participation for your family
  • 401(k) with Company Match - Plenful matches 50% of your first 3% contributed
  • Equity - Every full-time employee shares in our success
  • Unlimited PTO - Take the time you need, when you need it
  • Daily Lunch Stipend - $100/week to cover your midday meals
  • Wellness Stipend - $100/month to support your health and well-being
  • Commuter Benefits - $100/month for SF and NYC-based employees
  • Parental Leave - Paid leave to support growing families

Apply