ZipRecruiter

Log In

1

Generative Ai Researcher Jobs in Texas (NOW HIRING)

webAI Inc

AI Research Scientist

Austin, TX · On-site

Stay current on leading research in deep learning, generative AI, and distributed ML * Analyze experimental results and communicate insights clearly to technical and non-technical stakeholders

previous pagenext page

Showing results 21-40

All JobsGenerative Ai Researcher JobsGenerative Ai Researcher Jobs in Texas

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 - Irving, TX (Fulltime, Onsite - Only Local)

Northern Base

Irving, TX • On-site

Full-time

Re-posted 10 days ago

Job description

Generative AI Engineer
Irving, TX (Onsite, Only local)
Fulltime
 
 
Must-Have
• Programming languages: Python (proficient) with major ML libraries
• Experience with opensource Gen AI LLMs e.g., Llama and Dolly
• Machine learning, NLP & deep learning: Strong understanding of supervised and unsupervised learning, neural networks, transformers
• Generative AI techniques: Experience with GANs, text-to-image generation, text generation models
• Data wrangling & manipulation: SQL, data cleaning, feature engineering
• Hyperscalers : AWS, Azure, or GCP experience a plus
 
Good-to-Have
• On prem and cloud development projects with CI/CD Experience
 
Key Expectations from the Role 
1 Design, develop, and implement advanced AI solutions to solve complex business problems across various domains.
2 Collaborate with engineers, researchers, and product managers to understand business needs and translate them into technical specifications for AI models.
3 Gather, clean, and prepare data for training and evaluating sophisticated AI models, ensuring data quality and ethical considerations.
4 Explore and implement state-of-the-art AI techniques, including deep learning, natural language processing, and computer vision, tailored to specific needs
5 Evaluate and compare different AI model architectures and hyperparameters to optimize performance, address potential biases, and ensure responsible development