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Research Assistant Deep Learning Jobs in Prairie View, TX

Bot Auto

Algorithm Engineer, Reinforcement Learning

Houston, TX · On-site

$56 - $77/hr

  • Medical

  • PTO

Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ... Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real ...

Bot Auto

Algorithm Engineer, Reinforcement Learning

Houston, TX · On-site

$56 - $77/hr

  • Medical

  • PTO

Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ... Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real ...

Socket.dev

Senior AI Data Scientist

Houston, TX · On-site

$140 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Own deep learning and agentic AI initiatives end to end, from problem framing and data exploration ... Master's Degree in Statistics, Applied Mathematics, Operations Research, Computer Science, or ...

Socket.dev

Robotics Machine Learning Engineer

Houston, TX · On-site

$120 - $180/hr

... research and development. * Work with the team to develop, test, and deploy software, machine ... Experience with deep learning frameworks (Pytorch, JAX, TensorFlow, etc.) * Experience with cloud ...

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All JobsResearch Deep Learning JobsResearch Assistant Deep Learning JobsResearch Assistant Deep Learning Jobs in Prairie View, TX

Research Assistant Deep Learning information

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

As of Aug 13, 2026, the average hourly pay for research assistant deep learning in Prairie View, TX is $19.76, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.98 per hour, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Research Assistant Deep Learning jobs in Prairie View, TX look for? The top searched job categories for Research Assistant Deep Learning jobs in Prairie View, TX are:
What cities near Prairie View, TX are hiring for Research Assistant Deep Learning jobs? Cities near Prairie View, TX 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 Prairie View, TX as of June 2026, with employment types broken down into 1% As Needed, 74% Full Time, 19% Part Time, 3% Temporary, and 3% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $41,098 per year, or $19.8 per hour.

Assistant Professor - Data Science (Trauma, Critical Care, and Healthcare Disparities Research)

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 11 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities

Job description

Baylor College of Medicine and Department of Surgery

Baylor (www.bcm.edu) is recognized as one of the nation’s premier academic health science centers and is known for excellence in education, research, and healthcare and community service. Located in the heart of the world's largest medical center (Texas Medical Center), Baylor is affiliated with multiple educational, healthcare and research affiliates (Baylor Affiliates).

The Michael E. DeBakey Department of Surgery at Baylor College of Medicine and Harris Health Ben Taub Hospital are seeking an early-career PhD investigator at the rank of assistant professor or above who has training in data science that is applicable to trauma, surgical critical care, and/or health care disparities research. The investigator will provide data analysis and have a major role in the development and implementation of advanced analytic tools in a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. The investigator will join our growing Surgical Health Services Research Academy for Research and Education (SHARE) and will have access to surgical data from Baylor St. Luke's Medical Center and Harris Health Ben Taub Hospital. The investigator may have a joint appointment in the Michael E. DeBakey Department of Surgery at Baylor College of Medicine and The Baker Institute at Rice University.

Summary

The investigator will be is responsible for evaluating data quality, preparing data, generating insights, and developing and presenting high-impact data stories for quality improvement and other research projects using surgical data to improve trauma and critical care quality at Harris Health Ben Taub; collaborating with faculty and residents to disseminate these findings through intramural and extramural research efforts; developing grant proposals; and mentoring trainees.

Job Duties
  • Build and test statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling using surgical data.
  • Develop algorithms and predictive models to solve critical business problems in trauma and surgical critical care. 
  • Provide statistical and advanced analytics expertise to develop plans for surgical care projects.
  • Work with surgical faculty and residents and other collaborators on data preparation, feature engineering, and model development choices to organize and deliver high quality care, prevent errors in the delivery of acute trauma and surgical care and implement safer and more efficient trauma and critical surgical care.
  • Contribute to health policy related to the implementation science of enhanced trauma and surgical critical care in partnership with the Baker Institute at Rice University.
Minimum Qualifications

Required Education and Experience:

  • Ph.D. in mathematics, computer science, statistics, engineering, or analytics is required in addition to 2 years of healthcare industry experience.
  • Successful track record of collaboration with clinical investigators and in interdisciplinary teams.
  • Successful track record of training students and postdoctoral fellows
  • Accomplished academic record sufficient to fulfill criteria for an assistant professor level faculty appointment at Baylor College of Medicine.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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