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Junior Machine Learning Engineer Jobs in San Ramon, CA

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 ...

Unitytech

Machine Learning Engineer

San Francisco, CA · On-site +1

$117K - $152K/yr

We're looking for a Machine Learning Engineer to join our Offline Infrastructure team. This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

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 ...

Workday

Machine Learning Engineer III

Pleasanton, CA · On-site

About the Role As a Machine Learning Engineer on the AI Core team, you will develop tailored user ... Serve as a technical role model for more junior engineers About You Basic Qualifications:

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Provide guidance and mentorship to junior engineers, fostering a culture of learning and growth ... Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)

Hive

Machine Learning Engineer

San Francisco, CA

$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 ...

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 ...

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 ...

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 ...

S27a

Machine Learning Engineer

San Francisco, CA · On-site

$140 - $210/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.

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 ...

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

Junior Machine Learning Engineer information

See San Ramon, CA salary details

$37.4K

$80.2K

$122.4K

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

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in San Ramon, CA is $80,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,200.00 and $89,400.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

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

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

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

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior 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 $80,237 per year, or $38.6 per hour.

Machine Learning Engineer

Plenful

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 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