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Machine Learning Engineer Intern Jobs in Berkeley, CA

Lead Machine Learning Engineer

San Francisco, CA ยท On-site

$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 ...

The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing ...

Lead Machine Learning Engineer

San Francisco, CA ยท 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 ...

The Machine Learning Engineer will be responsible for scaling models, building training infrastructure, and ensuring reproducibility across large-scale biological datasets while collaborating with ...

Machine Learning Engineer

Pleasanton, CA ยท On-site

$110 - $150/hr

... with machine learning frameworks such as TensorFlow, Keras, and PyTorch. Knowledge of cloud platforms and technologies, specifically Microsoft Azure, is crucial. Experience in DevOps and MLOps ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$120 - $160/hr

The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...

Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$100K - $150K/yr

The Opportunity As a Machine Learning Engineer, you'll work on multimodal perception, VLA training, robotics post-training, and downstream policy evaluation. This is a hands-on role at the ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$150 - $190/hr

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

As a Machine Learning Engineer, you will shape the technical direction of the company by automating the ML life-cycle and engaging directly with customers while contributing to the architectural ...

They are seeking a Machine Learning Engineer to train and deploy critical models for their core product, focusing on interpreting unstructured data and improving model performance. Responsibilities ...

Machine Learning Engineer

San Francisco, CA ยท On-site

$180 - $260/hr

The Opportunity We are building a platform for AI Agents to come together and solve arbitrarily complex tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you ...

We're looking for a senior-level Machine Learning Engineer who can move quickly while maintaining high quality, owning end-to-end ML pipelines while shaping product features that deliver real-world ...

Showing results 41-60

Machine Learning Engineer Intern information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

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

As of Sep 5, 2026, the average yearly pay for machine learning engineer intern in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are popular job titles related to Machine Learning Engineer Intern jobs in Berkeley, CA?

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

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

The top searched job categories for Machine Learning Engineer Intern jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Machine Learning Engineer Intern jobs?

Cities near Berkeley, CA with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.

Machine Learning Engineer (San Francisco)

Willing Tech

San Francisco, CA โ€ข On-site

$172K - $384K/yr

Full-time

Re-posted 8 days ago


Key responsibilities

  • Develop machine learning systems that generate structured vector graphics from biological and textual inputs.

  • Design novel ML architectures focused on scientific diagram generation and natural language-guided editing.

  • Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.


Job description

This range is provided by Willing Tech. Your actual pay will be based on your skills and experience โ€” talk with your recruiter to learn more.

Base pay range

$200,000.00/yr - $300,000.00/yr

Direct message the job poster from Willing Tech

Machine Learning Engineer โ€“ Scientific Visualisation Platform

Location: Remote (US/Canada)

Sector: Scientific AI / SaaS

Weโ€™re partnering with a pioneering SaaS company at the forefront of AI for scientific communication. Their platform is redefining how scientists present, understand, and share complex biological researchโ€”turning experimental protocols, data, and text into clear, editable visuals that accelerate discovery and decision-making.

They're now looking for a Machine Learning Engineer to help build the next generation of AI-powered tools that generate structured visuals from scientific inputs. If youโ€™re excited by real-world, high-impact problems and want to apply machine learning at the intersection of computer vision, scientific research, and design, this is your opportunity.

What Youโ€™ll Do

  • Develop machine learning systems that generate structured vector graphics (e.g., SVG/JSON) from biological and textual inputs.
  • Design novel ML architectures focused on scientific diagram generation and natural language-guided editing.
  • Apply the latest in generative AI, computer vision, and multimodal learning to scientific contexts.
  • Collaborate with ML researchers, engineers, and product designers to move from experimentation to scalable deployment.
  • Ensure the visual and biological accuracy, scalability, and editability of AI-generated outputs.

Ideal Candidate

  • 5+ years of experience in machine learning, particularly in computer vision, NLP, or multimodal models.
  • Hands-on experience building and deploying ML systems in production (preferably at a SaaS or product company).
  • Strong coding skills in Python and experience with frameworks like PyTorch, TensorFlow, or JAX.
  • Comfortable with open-ended, technically ambiguous challengesโ€”especially in scientific or research-heavy domains.
  • Bonus: Experience with SVG or vector graphics generation, or a background in life sciences or bio-related research.

Why Join

  • Be one of the first ML hires tackling a completely novel problem in scientific visualisation.
  • Work in a fully remote setup with a smart, mission-aligned team spread across the US and Canada.
  • Shape the technical direction of a product used and loved by scientists around the globe.
  • Join a VC-backed company with an established user base, strong product-market fit, and a clear mission: make science more accessible and actionable.

Interview Insight

Weโ€™re looking for engineers who can demonstrate both depth and practicality. Expect conversations around:

  • Your experience with multimodal learning (e.g., combining visual + textual data).
  • Projects where you worked with or generated SVG/vector graphics.
  • The most impactful ML model youโ€™ve developedโ€”metrics, use cases, and why it mattered.

Interested? Letโ€™s connect.

Apply now or reach out directly for a confidential conversation.

Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionAnalyst, Consulting, and Engineering
  • IndustriesSoftware Development, Biotechnology Research, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Willing Tech by 2x

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