1

Generative Ai Scientist Jobs (NOW HIRING)

AI Scientist

New York, NY · On-site

$175K - $250K/yr

... generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic ... Science, Data Science, Statistics, Operations Research, or a related STEM field. * Strong ...

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

About the Role We are looking for a Senior Applied AI Scientist to design and develop cutting-edge Generative AI and LLM-powered systems for real-world, high-impact applications. This is a senior ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

We are seeking an AI Scientist to work with our collaborative and creative group of scientists and ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Overview We are seeking an AI Scientist to work with our collaborative and creative group of ... Research and explore new technology shifts, particularly in generative AI and advanced ML, to ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

As a Senior Data Scientist, Generative AI & Agentic Systems, you will help drive the bank's AI transformation by designing, developing, and deploying Large Language Model (LLM) solutions, Retrieval ...

Showing results 21-40

Generative Ai Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do generative ai scientist jobs pay per year?

As of Sep 9, 2026, the average yearly pay for generative ai scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

AspectGenerative Ai ScientistMachine Learning Engineer
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; expertise in deep learning and generative modelsDegree in CS, Data Science, or related; strong programming and ML knowledge
Work EnvironmentResearch labs, AI startups, tech companies focusing on AI innovationTech companies, startups, or enterprise environments implementing ML solutions
Employer & Industry UsagePrimarily in AI research, product development involving generative modelsDeveloping and deploying ML models for various applications across industries

Generative Ai Scientists focus on creating and improving generative models like GANs and VAEs, often working in research settings. Machine Learning Engineers implement and optimize ML models for practical applications. While both roles require strong AI knowledge, Generative Ai Scientists are more research-oriented, whereas Machine Learning Engineers focus on deployment and integration.

How to become a generative AI scientist?

To become a generative AI scientist, one typically needs a strong background in computer science, machine learning, and deep learning, often with a master's or Ph.D. in a related field. Gaining experience with neural networks, programming in Python, and working with frameworks like TensorFlow or PyTorch is essential, along with staying updated on the latest research and techniques in generative models such as GANs and VAEs.

What does a generative AI scientist do?

A generative AI scientist develops algorithms and models that create new data, such as images, text, or audio, using techniques like deep learning and neural networks. They often work with large datasets, programming languages like Python, and machine learning frameworks to improve AI's ability to generate realistic and useful content.

What are popular job titles related to Generative Ai Scientist jobs?

For Generative Ai Scientist jobs, the most frequently searched job titles are:

Infographic showing various Generative Ai Scientist job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

AI Scientist

New York, NY • On-site

$175K - $250K/yr

Full-time

Re-posted 15 days ago


Key responsibilities

  • Build, test, and deploy production-grade AI and machine learning solutions, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows.

  • Design and implement evaluation frameworks to measure model quality, robustness, reliability, and business impact.

  • Partner with product managers, data engineers, and stakeholders to translate research findings and business needs into scalable, production-ready solutions.


Millennium Management rating

7.0

Company rating: 7.0 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

AI Scientist
About Millennium
Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.
Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.
Meet the Team
The Information Technology team is core to the health and growth of Millennium's business. Supporting the firm's active, multi-manager model, the team builds and advances flexible, scalable technology and proprietary systems that power next-generation analytical, data, and trading capabilities. Within this environment, the Data Science team applies modern AI and machine learning techniques to develop practical, high-impact solutions that help the business adapt, innovate, and operate at scale.
What You'll Do
  • Build, test, and deploy production-grade AI and machine learning solutions using both classical methods and generative AI approaches, including LLMs, RAG, fine-tuning, prompt optimization, and agentic workflows.
  • Conduct applied research to evaluate new AI and machine learning techniques for complex business problems and identify practical opportunities for adoption.
  • Design and implement evaluation frameworks to measure model quality, robustness, reliability, and business impact.
  • Partner closely with product managers, data engineers, and business stakeholders to translate research findings and business needs into scalable, production-ready solutions.
  • Contribute to real-time and batch data pipeline workflows in collaboration with data engineering, and support monitoring, logging, metrics, guardrails, and human-in-the-loop review processes.
  • Communicate technical concepts, research outcomes, and recommendations clearly to both technical and non-technical audiences.
  • Stay current with emerging AI and machine learning developments and apply relevant advances thoughtfully to ongoing work.
  • Maintain high standards for code quality, documentation, and review practices to support reliability and long-term maintainability.

What You Bring
  • 3+ years of industry or applied research experience, along with an MS or PhD in Computer Science, Data Science, Statistics, Operations Research, or a related STEM field.
  • Strong foundation in machine learning, deep learning, natural language processing, statistical analysis, algorithms, and data structures.
  • Hands-on experience building and deploying AI and machine learning solutions, ideally including LLMs, generative AI, prompt engineering, RAG, fine-tuning, and agentic systems.
  • Strong Python programming skills and experience with frameworks such as PyTorch, TensorFlow, JAX, or scikit-learn.
  • Familiarity with LLM and AI application frameworks such as Hugging Face, LangChain, and LlamaIndex.
  • Experience working with at least one cloud platform, along with knowledge of vector databases, big data ecosystems, and MLOps or LLMOps tooling.
  • Exposure to AI-assisted coding tools such as Claude, Codex, GitHub Copilot, or Cursor.
  • Strong communication skills, sound judgment, and the ability to work independently, manage ambiguity, and learn quickly in a fast-moving environment.

Salary Range
Millennium offers a total compensation package which includes a base salary, discretionary performance bonus, and comprehensive benefits. The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. When finalizing an offer, we take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

What Millennium Management employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom