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Phd Machine Learning Jobs in Dallas, TX (NOW HIRING)

Who we're looking for Toyota's OneTech Data Science and Machine Learning Department is looking for ... A PhD in a related quantitative field * Experience applying data science in product quality ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related field. - Experience in shipping machine learning features/models into production. - Strong grasp of ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related field. - Experience in shipping machine learning features/models into production. - Strong grasp of ...

Research Engineer

Dallas, TX · On-site +1

$122K - $215K/yr

Bonus/nice to have: - Master/PhD in machine learning, computer science, engineering, or a related field. - Experience in shipping machine learning features/models into production. - Strong grasp of ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 5+ years of experience in AI/ML development with demonstrated success in deploying machine ...

... of machine learning/statistical models and ensure best performance Work closely with machine ... Education: MS/ PhD in Computer Science, Statistics, Math, Economics, Engineering, Business ...

Senior AI Engineer

Dallas, TX · On-site

$103K - $142K/yr

Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. * 5+ years of experience in AI/ML development with demonstrated success in deploying machine ...

Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. - Experience working on ...

Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. - Experience working on ...

Senior / Staff Perception Engineer

Dallas, TX · On-site +1

$158K - $269K/yr

Qualifications: - MS/PhD or Bachelors degree with a minimum of 4 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study. - Experience working on ...

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Phd Machine Learning information

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How much do phd machine learning jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for phd machine learning in Dallas, TX is $22.58, according to ZipRecruiter salary data. Most workers in this role earn between $19.52 and $25.19 per hour, depending on experience, location, and employer.

What is a PhD in Machine Learning?

A PhD in Machine Learning is an advanced doctoral degree focused on developing new algorithms, theories, and applications in the field of machine learning. Graduates typically conduct original research, contribute to academic publications, and often specialize in areas like deep learning, reinforcement learning, or probabilistic modeling. This degree prepares individuals for careers in academia, industry research labs, or leadership roles in tech companies. The program usually involves coursework, comprehensive exams, and the completion of a dissertation based on novel research.

What are the key skills and qualifications needed to thrive as a PhD-level Machine Learning professional, and why are they important?

To thrive as a PhD-level Machine Learning professional, you need deep expertise in mathematics, statistics, computer science, and advanced machine learning algorithms, typically supported by a doctoral degree. Proficiency with programming languages like Python or R, machine learning frameworks such as TensorFlow or PyTorch, and experience with large-scale data systems are essential. Strong problem-solving skills, critical thinking, and effective communication set outstanding candidates apart by enabling them to tackle complex research challenges and collaborate across teams. These skills and qualities are crucial for driving innovation, publishing research, and developing impactful machine learning solutions.

What are some common challenges faced by PhD-level professionals in machine learning when transitioning from academia to industry roles?

PhD graduates in machine learning often encounter challenges such as adapting to faster-paced project timelines, aligning research with business objectives, and collaborating in multidisciplinary teams. Unlike academia, where projects can be exploratory and long-term, industry roles usually require actionable results within shorter deadlines. Additionally, communicating complex technical ideas to non-technical stakeholders and prioritizing practical solutions over theoretical novelty are key adjustments. However, these challenges also present opportunities for professional growth and broader impact.

What is the difference between Phd Machine Learning vs Data Scientist?

AspectPhd Machine LearningData Scientist
Required CredentialsPhD in Computer Science, AI, or related fieldBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentResearch labs, academia, R&D departmentsBusiness, tech companies, analytics teams
Industry UsageResearch-focused roles, advanced algorithm developmentData analysis, model building, business insights
Common Search/ComparisonYesYes

While both roles involve working with data and algorithms, a Phd Machine Learning typically focuses on research, developing new models, and theoretical work, often in academic or R&D settings. A Data Scientist applies these techniques to solve practical business problems, analyze data, and generate insights in industry environments.

What cities near Dallas, TX are hiring for Phd Machine Learning jobs? Cities near Dallas, TX with the most Phd Machine Learning job openings:
Infographic showing various Phd Machine Learning job openings in Dallas, TX as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $46,957 per year, or $22.6 per hour.
Post Doctoral Research Associate

Post Doctoral Research Associate

The University of Texas at Arlington

Arlington, TX • On-site

Full-time

Posted 28 days ago


University Of Texas At Arlington rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

275th of 555 rated colleges and universities


Job description

Job Summary:
The University of Texas at Arlington is seeking a Post Doctoral Research Associate in the Department of Bioengineering. This role involves analyzing imaging data, developing novel methods for the integration of multimodal neuroimaging and clinical data, and building large-scale deep learning models to create predictive network models in psychiatric disorders.
Responsibilities:
• Neuroimaging data collection and management
• Data analysis and model building
• Develop advanced deep learning and machine learning algorithms
• Assist with organizing large-scale multimodal neuroimaging datasets, brain imaging quality control, and processing
• Assist with grant applications, manuscript preparation, and supervision of RAs and volunteers
• Performs other duties as needed
Qualifications:
Required:
• PhD degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field
Preferred:
• Doctor degree in biomedical engineering, electrical engineering, computer science, biostatistics, or a related field
• Experience in working with an MRI scanner
• Experience in developing state-of-the-art Machine Learning algorithms
• Experience with one or more deep learning libraries such as PyTorch, TensorFlow, or Keras
• Hands-on experience with neuroimaging processing pipelines
• Excellent writing and communication skills
• Strong interest in neuroscience and psychiatric research
Company:
UTA is a growing research powerhouse committed to life-enhancing discovery, innovative instruction, and caring community engagement. Founded in 2014, the company is headquartered in Arlington, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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