Research Scientist - Generative AI Jobs

Research Scientist - Generative AI

This role involves conducting high-quality research in generative AI, designing ...

Location

United States

Salary:

101900.00 - 234500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields
3-5 years working experience with training and fine-tuning generative AI models including LLMs, diffusion models, or Energy-Based Models
Proven track record of research in generative models, demonstrated through publications, patents, or publicly available projects
Proficiency in programming languages commonly used in AI research, such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch)
Deep understanding of machine learning algorithms and principles, especially in the context of generative AI
Strong mathematical background, with excellent skills in areas such as statistics, probability, linear algebra
Creative and analytical thinking abilities, with a passion for solving complex problems
Excellent communication skills, capable of conveying complex ideas clearly and engaging with both technical and non-technical audiences

Job Responsibility

Conduct high-quality research in generative AI, including but not limited to designing algorithms for pre-training and post-training current autoregressive and diffusion models for multimodal data
Design, implement, and validate new algorithms and models for augmented LLMs, pushing the boundaries of AI capabilities
Developing and prototyping novel algorithms for fine-turning, retrieval augmented generation, and in-context learning for various generative models
Developing algorithms for training and inference in Energy-Based Models
Collaborate with cross-functional teams to apply research findings to develop new products or enhance existing ones
Publish research papers in top-tier journals and conferences, sharing findings with the broader scientific community
Stay abreast of the latest AI research and trends, identifying opportunities for innovation and improvement
Mentor junior researchers and engineers, fostering a culture of knowledge sharing and collaboration
Develop prototypes and proof-of-concept implementations to demonstrate the potential of research findings
Engage with the academic community by attending conferences, workshops, and seminars

What we offer

A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Generative AI Data Scientist

The Citi Innovation Lab is a leader in creating new ideas, innovative technology...

Location

Israel , Tel Aviv

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Ph.D., master’s or equivalent experience in a relevant field (Computer Science, Machine Learning, etc.)
Very strong experience in Machine Learning, delivering complex solutions to production
Proven hands-on experience in data science and Natural Language Processing (NLP), Natural Language Understanding (NLU) and Natural Language Generation (NLG)
Strong proven delivery track record
In-depth knowledge of deep learning frameworks such as TensorFlow, PyTorch, and other open sources libraries / APIs or similar
Proficiency in programming languages such as Python
Excellent problem-solving skills and the ability to think creatively
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Publications and contributions to the AI research community are a plus
Experience in high tech or financial industry is beneficial but not mandatory.

Job Responsibility

Hands-On Leadership: Lead by example and actively contribute to the development and delivery of generative AI solutions, driving innovation and excellence within the team
Monitoring Ongoing Research: Stay actively engaged in monitoring ongoing research efforts, keeping abreast of emerging trends, and ensuring that the Generative AI team remains at the forefront of the field
Model Delivery to Production: Take a hands-on approach to ensure AI models are successfully deployed into production environments, meeting high-quality standards and performance benchmarks
Strategy Implementation: Execute the strategy for generative AI research and development, aligning it with the bank's overarching goals and objectives
Research and Development: Lead and participate in research activities to explore and advance state-of-the-art generative AI techniques, including GANs, VAEs, and other relevant technologies
Cross-Functional Collaboration: Ability to collaborate effectively with various teams, including product managers, engineers, and data scientists, to integrate AI technologies into products and services
Quality Control: Ensure the quality and performance of generative AI models, conducting rigorous testing and evaluation
Stakeholder Engagement: Work closely with business stakeholders across the bank to drive the adoption of generative AI and Large Language Models, identifying opportunities for innovation and value creation
Regulatory Compliance: Ensure that AI initiatives meet regulatory requirements while pushing the boundaries of technology innovation.

Fulltime

New

Senior Research Scientist, Intelligent Talent Acquisition - Lead Generation & Detection Services

Do you want a role with deep meaning and the ability to make a major impact? As ...

Location

United Kingdom , Edinburgh

Salary:

Not provided

Amazon Pforzheim GmbH

Expiration Date

Until further notice

Requirements

Master's degree, or a PhD and experience in quantitative field research
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
5+ years of experience in applied selection research, job analysis, test development, and validation
Foundational skills in conducting experimental research studies and data analysis
Proficiency in scripting for data analysis (e.g., R, Python)

Job Responsibility

Partner on design and development of AI-powered systems to scale job analyses enterprise-wide
Match potential candidates to the jobs they’ll be most successful in
Conduct validation research for top-of-funnel AI-based evaluation tools
Develop and implement novel research strategies using the latest technology
Build solutions while experiencing Amazon’s customer-focused culture
Work with diverse groups of people and inter-disciplinary cross-functional teams to solve complex business problems

Applied Research Lead, Generative Audio

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of industry experience as a research scientist in multimodal, generative audio
Proven experience leading projects
High emotional intelligence and experience mentoring other researchers
Good understanding of how to communicate goals, drive the execution of projects, and inspire through others
Experience in translating product and business objectives into technical strategies
Deep interest in productionizing state of the art ML research

Job Responsibility

Lead a group of Runway's Applied ML Research team
Lead and drive the executions for new applied research projects
Work with the rest of the engineering organization to oversee the transition from research into production
Work with the Product team to initiate and work on projects that deliver clear user value

Fulltime

Senior/Staff Research Scientist

As a Research Scientist at Snorkel AI, you will bridge the gap between cutting-e...

Location

United States , Redwood City; San Francisco

Salary:

200000.00 - 275000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

Strong expertise in AI, NLP, multi-modal models, LLMs, and generative AI, with an emphasis on applied research and system-building
Experience in developing, experimenting, and deploying AI models at scale
Proficiency in Python and machine learning frameworks (NumPy, Scikit-learn, Pandas, PyTorch, TensorFlow, etc.)
Experience with software engineering best practices (e.g., clean coding, modular design, version control)
Familiarity with ML infrastructure, cloud platforms (AWS, Google Cloud), and accelerators (GPUs, TPUs)
Ability to work in a fast-moving, iterative environment, comfortable with ambiguity and open-ended challenges
A bias for action—willing to roll up your sleeves, experiment, and move quickly to solve problems
A Ph.D. in machine learning or a related field with a strong publication record is preferred, but we also welcome applications from those with equivalent expertise gained through industry experience, research labs, or other career paths

Job Responsibility

Design, implement, and validate novel AI techniques for data development such as synthetic data generation, utilizing techniques such as LLM as a Judge
Prototype and build end-to-end workflows, integrating research ideas into scalable systems
Write high-quality, maintainable code, ensuring robust implementation of research-driven innovations
Move fast and adapt—iterating on solutions in response to new challenges, customer needs, and emerging research
Work closely with real-world design partners, testing solutions in applied settings with measurable impact
Collaborate with research scientists, engineers, and industry partners to push forward Snorkel AI’s broader research initiatives and rapidly productionize prototypes

What we offer

Meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success
Fully supported in building your career in an environment designed for growth, learning, and shared success
Equal Employment Opportunity employer committed to building a diverse team
Reasonable accommodation provided for individuals with disabilities

Fulltime

Staff Applied Research Scientist

Our vision is to build the next-generation platform for fast and easy creation o...

Location

United States , San Francisco

Salary:

190000.00 - 300000.00 USD / Year

Descript

Expiration Date

Until further notice

Requirements

Proven experience in designing and implementing deep learning algorithms
PhD or Master’s degree specialized in Deep Learning or equivalent experience
Track record of developing new ideas in machine learning, as demonstrated by one or more first author publications or projects
Good programming skills and experience with deep learning frameworks
Ability to generate more ideas than you can implement
Implementing a given idea is easy and efficient
You know Pytorch/Tensorflow inside-out
At least one of the following must be true for the applicant to be considered: Lead author of an accepted publication in one of the top conferences: ICLR, ICML, NeurIPS, ICASSP, ICCV, CVPR, InterSpeech, etc.
Played a key role in shipping a feature in production which uses deep learning as a key component

Job Responsibility

Oversee research process implementation, from problem definition all the way to running and analyzing concrete research experiments
Collaborate and communicate clearly and efficiently with the rest of the team about the status, results, and challenges of your current tasks
Contribute to designing the research roadmap of the company
Train and mentor other members of the team
Own the research function of specific product features

What we offer

Generous healthcare package
401k matching program
Catered lunches
Flexible vacation time

Fulltime

AI Research Engineer

We're seeking a Research Engineer to conduct innovative research in key AI areas...

Location

United Kingdom

Salary:

Not provided

Prolific

Expiration Date

Until further notice

Requirements

5+ years of engineering experience with significant AI/ML focus
Demonstrated research experience through publications, open-source contributions, or impactful projects
Strong engineering fundamentals and experience implementing AI systems in production environments
Deep knowledge of LLM evaluation methodologies, alignment techniques, and model optimization approaches
Experience with model fine-tuning, adapters, quantization, and distillation frameworks
Self-motivation and ability to define and pursue research directions independently
Excellent understanding of current challenges in AI safety, reliability, and alignment
Strong communication skills and ability to explain complex research concepts clearly
Passion for staying current with the rapidly evolving AI research landscape

Job Responsibility

Lead independent research projects in AI evaluation methodologies, alignment techniques, and synthetic data generation
Design and implement novel evaluation frameworks for LLMs and agent systems that are grounded in human data
Contribute to the academic AI community through publications and open-source contributions
Stay at the forefront of AI research and pioneer innovative approaches to tackle pressing open challenges in the field
Design and conduct rigorous experiments to study AI models and systems with sound methodological approaches
Develop scalable frameworks for systematic evaluation of model behaviours and capabilities
Create tools and frameworks that transform research insights into practical applications
Build infrastructure to support large-scale research experiments when needed
Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals
Work closely with ML engineers, data scientists, and product teams to translate research insights into practical applications

What we offer

competitive salary
benefits
remote working
impactful, mission-driven culture

Sr. Applied Research Scientist

We are building AI to simulate the world through merging art and science. We bel...

Location

United States

Salary:

280000.00 - 380000.00 USD / Year

Runway

Expiration Date

Until further notice

Requirements

4+ years of relevant ML engineering or research experience
Very strong programming skills and ability to write clean and maintainable research code
Deep interest in building human-in-the-loop systems for creativity
Passion for seeing research through from initial conception to eventual application
Experience mentoring and teaching other researchers
Strong communication, collaboration, and documentation skills

Job Responsibility

Lead efforts in pretraining the next generation of Runway’s multimodal models

Fulltime

Research Scientist - Generative AI

Hewlett Packard Enterprise

Location:
United States, Santa Barbara

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2025

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