ZipRecruiter

Log In

1

Research Assistant Deep Learning Jobs in Davis, CA

OceanAI, LLC

Software Engineer

Sacramento, CA · On-site

$100 - $130/hr

Collaborate with research teams to apply LLMs and share feedback * Contribute to the architecture ... Strong experience with deep learning and natural language processing * Hands‑on experience with ...

New

Sapios

Computer Vision Engineer

Sacramento, CA · On-site

$121K - $143K/yr

Publish and present work internally and externally (patents, research collaborations). What We're Looking For * Strong background in computer vision, deep learning, or robotics. * Hands-on experience ...

New

Actalent

Plant Care Research Associate

Davis, CA

$18 - $20/hr

... plants, and assist with phenotyping activities that drive product development pipelines ... Motivated and enthusiastic attitude toward learning new techniques and supporting research goals.

Crowe LLP

Machine Learning Intern

Sacramento, CA

$27 - $42/hr

Anomaly detection using deep neural networks Numerical optimization applied to problems in ... research and exploration, development, deployment, support Using correct model selection and ...

Shriners Children's

Medical Assistant

Sacramento, CA · On-site

$27.88 - $39.36/hr

... and research with global impact. We foster a learning environment that values evidenced based ... The Medical Assistant supports the medical and nursing staff in providing care and comfort to ...

Shrinerschildrens

Medical Assistant

Sacramento, CA · On-site

$27.88 - $39.36/hr

... and research with global impact. We foster a learning environment that values evidenced based ... The Medical Assistant supports the medical and nursing staff in providing care and comfort to ...

previous pagenext page

Showing results 21-40

All JobsResearch Deep Learning JobsResearch Assistant Deep Learning JobsResearch Assistant Deep Learning Jobs in Davis, CA

Research Assistant Deep Learning information

See Davis, CA salary details

$9

$23

$34

How much do research assistant deep learning jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for research assistant deep learning in Davis, CA is $23.68, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $27.55 per hour, depending on experience, location, and employer.

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.

What are the key skills and qualifications needed to thrive as a research assistant deep learning?

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What job categories do people searching Research Assistant Deep Learning jobs in Davis, CA look for?

The top searched job categories for Research Assistant Deep Learning jobs in Davis, CA are:

What cities near Davis, CA are hiring for Research Assistant Deep Learning jobs?

Cities near Davis, CA with the most Research Assistant Deep Learning job openings:

Research Assistant Deep Learning jobs near you
Infographic showing various Research Assistant Deep Learning job openings in Davis, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $49,257 per year, or $23.7 per hour.

Post Doctoral Scholar - Michelmore Lab

University of California

Davis, CA • On-site

$65 - $90/hr

Other

Posted 2 days ago

New

University Of California rating

8.7

Company rating: 8.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

59th of 628 rated colleges and universities

Job description

Postdoctoral Scholar in AI and Foundation Models for Plant Genomics


The UC Davis Genome Center is recruiting a Postdoctoral Scholar to work on a collaboration between the laboratories of Richard Michelmore (Genome Center), Xin Liu (Computer Science), and Christine Diepenbrock (Plant Sciences). This project will develop one of the first crop-specific multimodal foundation models integrating more than 100 telomere-to-telomere lettuce genomes, population-scale genomic variation, transcriptomics, and extensive phenotypic datasets to predict the consequences of allelic variation, genome editing, and genotype-by-environment interactions.


The focus of this work will be on the fine-tuning, evaluation, and multi-faceted deployment of a foundation model for lettuce. An existing DNA foundation model architecture will be leveraged while also incorporating advances due to the rapid evolution of the DNA and other -omic foundation model space. The extensive existing data sets will be leveraged for training, evaluation, validation, and use cases. The project emphasizes reproducible research and open-source software development. The successful candidate will have opportunities to publish both methodological advances in AI and biological discoveries enabled by the models.


Responsibilities

  • Fine-tune a pretrained foundation model using lettuce genome data with applications in crop improvement.

  • Implement appropriate strategies to optimize model performance and benchmark and compare models.

  • Collaborate closely with other project team members who have expertise in lettuce genomic resources, remote sensing, plant physiology, and development to 1) curate training data, including multi-omic and phenotypic data; and 2) generate hypotheses for model training.

  • Supervise undergraduate researchers with training in machine learning.

  • Publish findings in machine learning and computational biology journals.


Requirements

  • Ph.D. in Computer Science, Computational Biology, or a related field

  • Experience programming in Python

  • Demonstrated experience developing, training, or adapting deep learning models

  • An interest and willingness to learn about genome biology, gene function, and regulatory circuits

  • Willingness to collaborate in multi-disciplinary teams

  • Evidence of research productivity through publications in machine learning, computational biology, genomics, or related areas

#J-18808-Ljbffr

What University Of California employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply