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Generative Ai Researcher Jobs (NOW HIRING)

1X Technologies AS

AI Researcher

San Carlos, CA · On-site

$250K - $350K/yr

About the Lab The 1X World Model Lab is an embodied AI research organization focused on pretraining ... Model and Data Build large multi-modal generative world models that learn from robot experience ...

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 ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging ...

PB consulting

Generative AI Engineer

Duncanville, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Hurst, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Bedford, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Colleyville, TX · On-site

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Irving, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

Generative AI Engineer

Grapevine, TX

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

PB consulting

TX · On-site

Collaborate with engineers, researchers, product managers, and business stakeholders to translate ... Build and deploy Generative AI solutions using Large Language Models (LLMs), text generation, and ...

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All JobsGenerative Ai Researcher Jobs

Generative Ai Researcher information

See salary details

$30K

$113.1K

$164.5K

How much do generative ai researcher jobs pay per year?

As of Aug 19, 2026, the average yearly pay for generative ai researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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.

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Generative Ai Researcher jobs near you
Infographic showing various Generative Ai Researcher job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

ML Postdoc Researcher - LLMs & Generative AI

Truveta

Remote

Full-time

Re-posted 6 days ago

Job description

Job Summary:
Truveta is the world’s first health provider led data platform with a mission to enable researchers to find cures faster and empower clinicians. They are seeking a highly motivated Machine Learning Postdoctoral Researcher to contribute to innovative projects in Large Language Modeling and clinical data analysis, collaborating closely with multiple teams to develop novel algorithms and methodologies.
Responsibilities:
• Collaborate with researchers and engineers to design, develop, and refine large language models and generative models for various applications.
• Utilize your expertise in machine learning and natural language processing to develop novel algorithms and methodologies for generative modeling tasks.
• Implement, train, and fine-tune LLM and GPT-like models on large-scale datasets to ensure optimal performance and accuracy.
• Stay up to date with the latest research advancements and techniques in the field of language modeling, generative modeling, and machine learning.
• Deliver the next generation of innovation in trustworthy healthcare.
Qualifications:
Required:
• Ph.D. in Computer Science, Electrical Engineering, or a related field, with a focus on machine learning, natural language processing (NLP), Large Language Models (LLMs), multi-modal foundation models, and generative AI
• Strong theoretical and practical background in NLP including experience with state-of-the-art architectures
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI
• Solid programming skills in Python and the ability to write clean, efficient, and well-documented code
• Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems
• Strong communication skills and the ability to work effectively in a collaborative research environment
Preferred:
• Experience with distributed parallel training, large-scale multi-modal foundation and generative models
• Familiarity with parameter-efficient tuning techniques, Reinforcement Learning from Human Feedback (RLHF), and prompt engineering techniques
• Familiarity with training multi-modal foundation models
• Familiarity with cloud-based infrastructure and experience deploying large-scale machine learning models in production environments
• A track record of publications and contributions to the machine learning and natural language processing communities
Company:
Truveta is a healthcare data platform that provides EHR data for scientific research. Founded in 2020, the company is headquartered in Bellevue, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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