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Machine Learning Engineer Intern Jobs in Fairfield, CA

Bland

Machine Learning Intern

San Francisco, CA · On-site

Machine Learning Research Intern, Audio As a Research Intern at Bland, you will own a focused ... Where the result warrants it, work with engineers to move it toward production. Choose your depth ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

Conduit

Machine Learning Engineer

San Francisco, CA · On-site

Conduit builds autonomous factories through a single data abstraction layer across every machine ... Translate customer needs into clean engineering briefs for the SF team. Build relationships with ...

Firecrawl

Machine Learning Engineer

San Francisco, CA · On-site

$210K - $240K/yr

Machine Learning Engineer You'll build the ML behind Firecrawl - the models and the systems that serve them. That starts with search: training and shipping the ranking and relevance models for one of ...

Elicit

Machine Learning Engineer

Oakland, CA · On-site +1

We invite you to help us build that future. (See how people use Elicit today on Twitter; explore our vision in the roadmap.) About the role As a Machine Learning Engineer at Elicit, you'll build ...

Kikoff

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

We are seeking a Senior Machine Learning Engineer to join our team. This role will focus on developing and maintaining machine learning infrastructure and operations, particularly for our cash ...

Adobe

Machine Learning Engineer

San Francisco, CA · On-site

$102K - $202K/yr

Key Responsibilities As a Machine Learning Engineer at Adobe, you will play a pivotal role in our ambitious journey to redefine digital experiences. This is your chance to work on innovative ...

nudge

Machine Learning Engineer

San Francisco, CA · On-site

Define technical strategy and best practices across machine learning, modeling, simulation, and signal processing infrastructure * Mentor and elevate other engineers through technical leadership ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Fairfield, CA

Machine Learning Engineer Intern information

See Fairfield, CA salary details

$26K

$43.3K

$89.6K

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

As of Sep 3, 2026, the average yearly pay for machine learning engineer intern in Fairfield, CA is $43,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,100.00 and $46,800.00 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 the most commonly searched types of Machine Learning Engineer jobs in Fairfield, CA?

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

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

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

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

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

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

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

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Fairfield, 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 $43,337 per year, or $20.8 per hour.

Machine Learning Intern

Bland

San Francisco, CA • On-site

Full-time

Posted 6 days ago

Job description

The Role: Machine Learning Research Intern, Audio
As a Research Intern at Bland, you will own a focused research project across our voice stack: speech-to-text, large language models, neural audio codecs, or text-to-speech. You will work alongside our research team on the same problems they are working on, not on a side track built to keep interns busy.
We scope internships around a single meaningful question that can be answered in the time you have. The goal is a result worth shipping, publishing, or both. Interns here regularly see their work reach production systems handling millions of calls.
What You Will Do
Own a research question end to end
  • Take one well-scoped problem from literature review through implementation, experimentation, and results.
  • Design ablations that isolate what actually caused an improvement.
  • Present your findings to the research team and defend the methodology.

Work on real systems
  • Train and evaluate models on large-scale, real-world telephony audio, including the accents, noise, and artifacts that make production speech hard.
  • Use our distributed GPU infrastructure rather than toy-scale setups.
  • Where the result warrants it, work with engineers to move it toward production.

Choose your depth
Depending on your background and interests, your project may focus on:
  • Expressive and controllable text-to-speech, including prosody and emotion modeling
  • Neural audio codecs and discrete or continuous speech representations
  • ASR robustness for telephony, accents, and code switching
  • Real-time and streaming inference under latency constraints
  • Full-duplex conversation and turn-taking dynamics
What Makes You a Great Fit
Research foundations
  • Currently pursuing a MS or PhD in ML, CS, EE, or a related field, or equivalent research experience.
  • Comfortable reading a paper and reimplementing it without hand-holding.
  • Experience with self-supervised, generative, or multimodal modeling.

Audio or speech grounding
  • Hands-on work with speech or audio models, whether TTS, ASR, codecs, or audio representation learning.
  • Strong intuition for audio quality and what makes synthetic speech sound wrong.
  • Prior publications or open source contributions in speech or language AI are a strong signal, though not required.

Engineering ability
  • Fluent in PyTorch and comfortable in a real codebase.
  • Able to run your own experiments on GPU clusters without waiting to be unblocked.
How You Show Up
  • You identify the single experiment that validates an idea in days, not months.
  • You measure everything and let data drive decisions.
  • You are honest about negative results, because they are how we narrow the search.
  • You are obsessed with making voice agents sound truly human.
  • You use AI tools aggressively to amplify your own impact.
Benefits
  • Competitive intern compensation
  • Mentorship from researchers working on frontier voice AI
  • Every tool you need to succeed
  • Beautiful office in Levi's Plaza, SF with rooftop views
  • A real shot at a return offer

Apply