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Generative Ai Researcher Jobs in Texas (NOW HIRING)

Northern Base

Generative AI Engineer

Irving, TX · On-site

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time ... Collaborate with engineers, researchers, and product managers to translate business requirements ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Stay current with cutting-edge AI research (Generative AI, RAG, agentic frameworks). * Perform testing, validation, and performance tuning for compliance and reliability. * Research and publish ...

Damco Solutions

GEN AI Developer

Dallas, TX · On-site

... generative AI research and apply this knowledge to drive innovation and growth Qualifications : Required : • MS or PhD in Computer Science, Machine Learning, or related field • 2+ years of ...

webAI

AI Research Scientist

Austin, TX · On-site

... deep learning, generative AI, and distributed ML • Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders • Document research findings ...

US Bank

Principal AI Research Scientist

Irving, TX

Unlike traditional research positions, this role spans the entire R&D lifecycle. The ideal ... Generative AI & Agentic Systems * Lead the development of solutions leveraging foundation models ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX

... research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. · Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit ...

Adidev Technologies Inc

ML/AI Engineers

Austin, TX · On-site

... research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects. • Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit ...

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Generative Ai Researcher information

What does a generative AI researcher do?

A Generative AI Researcher studies and develops artificial intelligence models that can create new content such as text, images, music, or code. They work on advancing algorithms like generative adversarial networks (GANs), variational autoencoders (VAEs), and large language models to improve their performance and applications. Their work often involves designing experiments, analyzing data, publishing research, and collaborating with other scientists and engineers to push the boundaries of AI creativity and utility.

What are some common challenges generative AI researchers face when transitioning models from research to production environments?

Generative AI Researchers often encounter challenges when moving models from experimental research settings into real-world production. These challenges include ensuring models are robust to diverse, unseen data, optimizing for computational efficiency, and addressing potential biases or ethical concerns present in generated outputs. Collaboration with engineering teams is key to deploying scalable solutions, while ongoing monitoring is necessary to maintain model performance and compliance. Researchers should be prepared to iterate on their models post-deployment based on feedback and real-world results.

What are the key skills and qualifications needed to thrive as a generative AI researcher, and why are they important?

To thrive as a Generative AI Researcher, you need a strong background in computer science, mathematics, and machine learning, typically supported by an advanced degree (Master's or PhD) in a relevant field. Proficiency in programming languages such as Python, experience with deep learning frameworks like TensorFlow or PyTorch, and familiarity with research tools and publication processes are essential. Creative problem-solving, critical thinking, and effective collaboration skills help researchers innovate and communicate complex ideas. These skills and qualities are crucial for advancing AI technologies, publishing impactful research, and driving progress in this rapidly evolving field.

What is the difference between Generative Ai Researcher vs Machine Learning Engineer?

AspectGenerative Ai ResearcherMachine Learning Engineer
CredentialsAdvanced degrees in AI, Computer Science, or related fields; research experienceDegree in Computer Science, Data Science, or related fields; coding skills
Work EnvironmentResearch labs, academia, R&D departmentsTech companies, startups, product teams
Industry UsageFocus on developing generative models like GANs, VAEs, transformersImplementing ML models for various applications, including generative tasks

While both roles involve AI and machine learning, Generative Ai Researchers primarily focus on developing new generative models and advancing AI research, often working in academic or research settings. Machine Learning Engineers typically implement and deploy ML models in production environments across industries. The roles overlap in skills and tools but differ in their core focus and work environment.

What are popular job titles related to Generative Ai Researcher jobs in Texas?

For Generative Ai Researcher jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Generative Ai Researcher jobs in Texas look for?

The top searched job categories for Generative Ai Researcher jobs in Texas are:

What cities in Texas are hiring for Generative Ai Researcher jobs?

Cities in Texas with the most Generative Ai Researcher job openings:

Generative Ai Researcher jobs near you
Infographic showing various Generative Ai Researcher job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Generative AI Engineer

Northern Base

Irving, TX • On-site

Full-time

Posted 18 days ago

Job description

Hiring Alert | Generative AI Engineer

Location: Irving, TX (Onsite)
Employment Type: Full-Time
Experience Required: 6+ Years
Visa Type: USC / GC Only

Interview Mode: In-person (Final Round)

Must-Have Skills:

  • Python Programming with Major ML Libraries
  • Open-Source Generative AI LLMs, including Llama and Dolly
  • Machine Learning, NLP & Deep Learning
  • Neural Networks & Transformer Architectures
  • Generative AI Techniques
  • GANs & Text-to-Image Generation
  • Text Generation Models
  • SQL & Data Wrangling
  • Data Cleaning & Feature Engineering
  • Model Training, Evaluation & Optimization
  • AWS, Azure, or GCP Experience

Key Responsibilities:

  • Design, develop, and implement advanced AI solutions for complex business problems
  • Collaborate with engineers, researchers, and product managers to translate business requirements into AI solutions
  • Gather, clean, and prepare high-quality data for model training and evaluation
  • Implement advanced deep learning, NLP, computer vision, and Generative AI techniques
  • Evaluate AI model architectures and hyperparameters for performance optimization
  • Address model bias and support responsible AI development

Good-to-Have:

  • On-premises and cloud development experience
  • CI/CD experience
  • Experience with state-of-the-art AI/ML techniques
  • Strong understanding of ethical AI and responsible model development

Education:

  • Bachelor's Degree in Computer Science or related field