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Generative Ai Researcher Jobs (NOW HIRING)

Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company''s AI strategy. Collaboration: Work closely ...

Our researchers have a broad range of expertise related to computer science and electrical ... In this role, you will develop next-generation multimodal generative AI systems for immersive audio ...

Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future ... You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI ...

Come join some OGs in this so-called "generative AI" space and invent what is yet to be the future ... You'll get to work on fundamental AI research problems, but all grounded on our proprietary AI ...

$32 - $40/hr

Gain hands-on experience in generative AI model development, architecture design, and database management. * Conduct research on Agentic AI models and their potential impact on healthcare workflows ...

... Generative AI product services and experiences, and taking Large Language Models (LLMs) from ... AI research teams. You will also represent Meta at developer conferences and events. You will be ...

Research and apply the latest developments in AI and machine learning. * Ensure scalability, security, and reliability of AI solutions. * Design and implement Generative AI applications using ...

Gain hands-on experience in generative AI model development, architecture design, and database management. * Conduct research on Agentic AI models and their potential impact on healthcare workflows ...

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Generative Ai Researcher information

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$30K

$113.1K

$164.5K

How much do generative ai researcher jobs pay per year?

As of Jun 23, 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 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 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 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 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.
More about Generative Ai Researcher jobs
What cities are hiring for Generative Ai Researcher jobs? Cities with the most Generative Ai Researcher job openings:
What states have the most Generative Ai Researcher jobs? States with the most job openings for Generative Ai Researcher jobs include:
Infographic showing various Generative Ai Researcher job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $113,102 per year, or $54.4 per hour.
Associate Generative AI Engineer

Associate Generative AI Engineer

ShiftCode Analytics

Philadelphia, PA โ€ข On-site

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Associate Generative AI Engineer

End Client: Radian

Location: Philadelphia, PA 19003 (3 days onsite) (1 In-person Interview)

Duration: 6mth Contract to Hire

USC Citizen or Green Card

Must Have:

  • Experience in the use of Microsoft Access (2003, 2007, 2010).
  • LinkedIn Id
Summary:
  • 1-2 years of prior work-related experience
  • The Associative Generative AI Engineer is responsible for the development of innovative AI solutions.
  • Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications.
  • The resource will work closely with cross-functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence.
Primary Duties and Responsibilities:
  • Design and develop algorithms for generative models using deep learning techniques.
  • Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
  • Research and stay up-to-date on the latest advancements in generative AI technologies and methodologies.
  • Optimize and fine-tune generative models for performance and efficiency.
  • Troubleshoot and resolve issues related to generative AI models and implementations.
  • Create and maintain documentation for generative AI models and their applications.
  • Communicate complex technical concepts and findings to non-technical stakeholders.
  • Perform other duties as assigned or apparent.

Degree Requirement:

  • Bachelor's Degree or Equivalent Experience
Other Qualifications, including any special skills, capabilities, and competencies:
  • Experience in the use of Microsoft Access (2003, 2007, 2010).
  • 2+ years of related software development experience.
  • A proven understanding of Visual Basic and SQL Server.

Two years spent in the delivery and maintenance of mission critical Access solutions


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About ShiftCode Analytics

Sourced by ZipRecruiter

We specialize in solid end-to-end delivery of tailor-made technology solutions designed by the Top 1% Software Engineering teams. Our innate digital leadership identity powers transformation across every industry. We are always ready to drive meaningful change with a strategic vision for the future. We rigorously test for logical/mathematical reasoning skills, technical ability and soft skills in our interview process. Only those engineers who score highly across each of these areas are presented to our clients.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Tampa, FL, US

Year founded

2019