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Generative Ai Researcher Jobs in Boston, MA (NOW HIRING)

Iberdrola

Lead Engineer - Cloud & Gen AI

Boston, MA · On-site

$60.50 - $81/hr

... Generative AI applications. This role requires collaboration with data scientists and AI researchers to deploy and optimize AI models, ensuring the security, reliability, and performance of cloud ...

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All JobsGenerative Ai Researcher JobsGenerative Ai Researcher Jobs in Boston, MA

Generative Ai Researcher information

See Boston, MA salary details

$32.6K

$122.9K

$178.7K

How much do generative ai researcher jobs pay per year?

As of Sep 4, 2026, the average yearly pay for generative ai researcher in Boston, MA is $122,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $167,300.00 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.

What are popular job titles related to Generative Ai Researcher jobs in Boston, MA?

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

What job categories do people searching Generative Ai Researcher jobs in Boston, MA look for?

The top searched job categories for Generative Ai Researcher jobs in Boston, MA are:

Generative Ai Researcher jobs near you
Infographic showing various Generative Ai Researcher job openings in Boston, MA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $122,874 per year, or $59.1 per hour.

Pre-doctoral Researcher - Technical Associate (Eric So)

Massachusetts Institute of Technology

Cambridge, MA • On-site

Full-time

Re-posted 10 days ago

Massachusetts Institute Of Technology rating

8.8

Company rating: 8.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

47th of 629 rated colleges and universities

Job description

Description
Professor Eric So is seeking a highly skilled and motivated individual for a full-time Research Assistant position. A minimum one-year appointment with an option for a second-year appointment involves close collaboration on all stages of research, resource development, and program initiatives to support generative AI efforts in teaching, learning, and research.
We are seeking a dedicated Research Affiliate to support multiple generative AI research and teaching initiatives at MIT Sloan. This role is ideal for a candidate with a background in computer science, business analytics, economics, and/or finance who is interested in the applications of AI. The Research Assistant will work closely with faculty on AI-centric research and integrating generative AI into course materials, focusing on advanced data analysis and the use of AI tools in teaching and research.
Responsibilities
  • Collaborate closely with Professor Eric So and other faculty members on research projects.
  • Support hands-on projects in generative AI applications.
  • Contribute to the development of AI-enhanced course content.
  • Aid in data analysis and visualization.
  • Assist in the integration of generative AI into course materials and teaching methodologies.
  • Participate in the development of resources and programs to support generative AI efforts in teaching and learning.

Qualifications
  • Strong background and familiarity with various generative AI tools.
  • Experience or strong interest in the application of AI.
  • Proficiency in Python, data analysis, and visualization tools.
  • Strong communication skills.
  • Highly motivated and skilled in managing multiple tasks and projects.
  • Experience working with social media.

Opportunities
This position offers a unique opportunity to apply business analytics skills in an innovative educational setting, develop research experience, and work closely with faculty to pioneer AI integration in teaching and research methodologies. The successful candidate will gain valuable experience in the intersection of AI, research, and education.
Application Instructions
Please submit the following:
  1. A cover letter describing qualifications, relevant experience, and why you are interested
  2. A curriculum vitae or resume-please include relevant coursework and grade
  3. A writing sample from a class paper, thesis project, or academic publication

Optionally, you may also include:
  1. A sample of presentation slides
  2. Code you wrote to statistically analyze quantitative data (this could be from prior work, such as a thesis or an academic publication)

Letters of recommendation may be requested after an initial interview. Review of applications will begin immediately and continue until the position is filled.

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