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Machine Learning Intern Remote Jobs in Walnut Creek, CA

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

DataRobot

Agentic AI Intern

San Francisco, CA · Remote

This is a fully remote position. The program runs approximately 6 months. WHAT YOU'LL DO: * Build ... Foundational understanding of machine learning concepts - supervised learning, model evaluation ...

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All JobsMachine Learning Intern JobsMachine Learning Intern Remote JobsMachine Learning Intern Remote Jobs in Walnut Creek, CA

Machine Learning Intern Remote information

See Walnut Creek, CA salary details

$28.2K

$47.2K

$97.5K

How much do machine learning intern remote jobs pay per year?

As of Aug 23, 2026, the average yearly pay for machine learning intern remote in Walnut Creek, CA is $47,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $50,900.00 per year, depending on experience, location, and employer.

What does a machine learning intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.

What are the key skills and qualifications needed to thrive as a machine learning intern?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a machine learning intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What are popular job titles related to Machine Learning Intern Remote jobs in Walnut Creek, CA?

For Machine Learning Intern Remote jobs in Walnut Creek, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Intern Remote jobs in Walnut Creek, CA look for?

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What cities near Walnut Creek, CA are hiring for Machine Learning Intern Remote jobs?

Cities near Walnut Creek, CA with the most Machine Learning Intern Remote job openings:

Machine Learning Intern Remote jobs near you
Infographic showing various Machine Learning Intern Remote job openings in Walnut Creek, CA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $47,158 per year, or $22.7 per hour.

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Re-posted 13 days ago

Job description

Job Description

Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

As the Staff Machine Learning Engineer, you own the execution layer of intelligence.  You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems.  This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.  This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

- Own end-to-end Machine Learning (ML) system execution:  data pipelines, training workflows, evaluation systems, inference architecture, and deployment.

- Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.

- Architect and operate scalable inference systems, balancing latency, cost, and reliability.

- Design and maintain data systems for high-quality synthetic and real-world training data.

- Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.

- Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.

- Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.

- Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

- Work under real production constraints: latency, cost, reliability, and safety

Staff Machine Learning Engineer Outcomes

- Research and models reliably translate into production-ready solutions with clear performance and quality targets.

- Machine Learning (ML) pipelines, training loops, and inference systems are stable, efficient, and maintainable.

- Production issues are detected, debugged, and resolved quickly, minimizing user impact.

- Team members are supported, aligned, and able to deliver high-impact Machine Learning (ML) work with minimal friction.

- Iterations on models and systems are measurable, safe, and improve user experience over time.

Qualifications

Staff Machine Learning Engineer Qualifications:

- Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.

- Artificial Intelligence (AI) experience required.

- Experience working with large models and understanding their failure modes.

- Experience writing strong, production-grade code.

- You are self-directed, pragmatic, and take full ownership of outcomes.

- Experience communicating clearly and collaborate well in small, high-trust teams.

- Tech Stack:  GPU-based training and inference system, JAX, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Staff Machine Learning Engineer, Data Pipelines, DPO, GPU, JAX, LoRA, Machine Learning Engineer, ML, Machine Learning, Python, PyTorch, QLoRA, SFT, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Staff Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Staff Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.ginastechjobs.com.