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Machine Learning Professor Jobs in California (NOW HIRING)

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize ... Experience training and deploying state-of-the-art CV models using popular machine learning ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · Hybrid

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize ... Experience training and deploying state-of-the-art CV models using popular machine learning ...

Matroid

Deep Learning Field Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize ... Experience training and deploying state-of-the-art CV models using popular machine learning ...

Matroid

Deep Learning Engineer

Palo Alto, CA · On-site

$170K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Specialization in CV, artificial intelligence, machine learning, or related fields * Significant ...

Matroid

Deep Learning Engineer

Palo Alto, CA

Founded in 2016 by a Stanford professor, Matroid has a broad and rapidly growing set of customers ... Specialization in CV, artificial intelligence, machine learning, or related fields * Significant ...

Caltech

Research Technician-Assistant

Pasadena, CA · On-site

$19 - $30/hr

... Professors Hannah Druckenmiller (Economics) and Georgia Gkioxari (Computer Science) to conduct research at the intersection of machine learning and environmental economics/policy. The role will be on ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation ... professor leading a relevant program at a top university. Will be verified during application ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Data analysis and machine learning pipelines * AI agents, retrieval systems, and evaluation ... professor leading a relevant program at a top university. Will be verified during application ...

Matroid

VLM & VFM Forward Deployed Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base ... Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch ...

Matroid

VLM & VFM Forward Deployed Engineer

Palo Alto, CA · On-site

$150K - $300K/yr

Founded in 2016 by a Stanford professor, Matroid serves a broad and rapidly growing customer base ... Experience with popular machine learning and computer vision frameworks and tools, such as PyTorch ...

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All JobsMachine Learning Professor JobsMachine Learning Professor Jobs in California

Machine Learning Professor information

What are the key skills and qualifications needed to thrive as a Machine Learning Professor, and why are they important?

To thrive as a Machine Learning Professor, you need deep expertise in machine learning algorithms, mathematics, and data science, typically supported by a Ph.D. in computer science or a related field. Familiarity with programming languages like Python and R, as well as tools such as TensorFlow, PyTorch, and academic research platforms, is essential. Exceptional communication, mentorship abilities, and enthusiasm for teaching help inspire and guide students and peers. These skills ensure effective research output, high-quality teaching, and the development of future leaders in the field.

How does a Machine Learning Professor typically balance research, teaching, and mentorship responsibilities?

Machine Learning Professors usually split their time between conducting original research, teaching undergraduate and graduate courses, and mentoring students. Balancing these responsibilities can be challenging, particularly when managing multiple research projects and supervising student theses. Professors often collaborate with industry partners and other academic departments, which enhances research opportunities but also adds to their workload. Effective time management and prioritization are key to thriving in this dynamic environment, and universities often provide some flexibility in teaching loads or research support to help maintain this balance.

What does a Machine Learning Professor do?

A Machine Learning Professor teaches university-level courses on machine learning, data science, and related topics. They conduct original research in the field, often publishing their findings in academic journals and presenting at conferences. In addition to lecturing, they mentor students, supervise theses or dissertations, and may collaborate with industry partners on research projects. Their work helps advance the understanding and applications of machine learning.
What cities in California are hiring for Machine Learning Professor jobs? Cities in California with the most Machine Learning Professor job openings:
Machine Learning Professor jobs near you
Infographic showing various Machine Learning Professor job openings in California as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, and 23% Part Time. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Deep Learning Field Engineer

Deep Learning Field Engineer

Matroid

Palo Alto, CA • On-site

$150K - $300K/yr

Full-time

Medical, Dental, Vision

Posted 7 days ago

Job description

About Matroid
With the rapid growth of artificial intelligence, more and more expert knowledge is required to use cutting edge AI techniques to solve real-world problems. At Matroid, we're building an intuitive product that allows anyone to train and deploy computer vision (CV) models without needing to know how to write a line of code.
Founded in 2016 by a Stanford professor, Matroid has raised $33.5 million from NEA, Energize Ventures, and Intel Capital and has a broad range of customers and partners in manufacturing, aerospace, transportation, security and safety and compliance.
We're looking for a Deep Learning Field Engineer to operate at the forefront of CV deployment in industry - building best-in-class CV systems that leverage deep learning techniques to solve a broad range of challenging use cases, such as quality inspection, assembly verification, process optimization and safety and compliance.
You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.
What you'll be doing
  • Train state-of-the-art CV models across a broad range of domains, such as object detection, anomaly detection, panoptic segmentation, action recognition and tracking.
  • Deploy end to end CV systems across a range of environments (cloud, edge, hybrid).
  • Integrate Matroid into inspection workflows and third party systems, such as manufacturing execution systems, safety alert systems and video management systems.
  • Perform quantitative and qualitative evaluation of the CV system and iterate on it to meet performance requirements.
  • Act as the technical expert, advising on all matters from technical scoping of engagements to model training, deployment and integration.
  • Empower customers with CV by designing and leading product training sessions.

How you'll be doing it
  • You will be a computer vision guru - intelligently and efficiently translating business problems into performant computer vision solutions.
  • You will be a product expert - selecting the best features to solve the task at hand.
  • You will be a customer advocate - understanding their intimate requirements and relaying feedback to the broader Matroid team to drive customer centric development.
  • You will be an AI orchestrator - integrating deep learning solutions with customers' internal systems, actively driving decisions and delivering real-world impact.
  • You will operate in a collaborative but highly autonomous environment that isn't bogged down by unnecessary meetings or project management.
  • You will learn a lot along the way, diving into new technologies and the world of CV both on your own and during frequent company tech talks.

What you bring to the table
  • Bachelor's degree in computer science, computer engineering, electrical engineering, or another technical field.
  • Experience training and deploying state-of-the-art CV models using popular machine learning frameworks, such as TensorFlow or PyTorch.
  • Strong software engineering skills.
  • Solid oral, written, presentation, collaboration, and interpersonal communication skills.
  • Adept at communicating to both technical and commercial audiences.

Bonus points if...
  • Graduate degree with a concentration in CV, artificial intelligence, machine learning, or related fields.
  • Previous work experience in field engineering, professional services, consulting, or another customer-facing field.
  • Experience with high growth technology startups.

What we offer in return
  • Competitive pay and equity.
  • The chance to constantly work on stimulating intellectual challenges.
  • Gym membership reimbursement.
  • Free lunch, healthy drinks, and snacks every day.
  • Medical, dental, and vision insurance with 100% paid premiums.
  • A flexible schedule that leaves time for all of your other interests.
  • A budget for whatever hardware or software will make you most effective.
  • Resources to learn about the cutting edge of software engineering and CV.
  • You'll be working at our new office in downtown Palo Alto, just a five-minute walk from the Caltrain station.

Matroid is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

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