AI Researcher (Large Language Models) Job at Tavus (San Francisco)

Sr. Applied Research Scientist

We’re looking for a Sr. Applied Research Scientist to lead efforts in building l...

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 in language models
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 building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning

Fulltime

Senior Generative AI Engineer

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

Hands-on experience with transformer-based models and their applications
Strong understanding of LLM, LLM model selection, benchmarking, and optimization
Experience with RAG systems and vector databases
Proficiency in developing and deploying AI agents
Knowledge of open-source models and methods, including benchmarks for evaluating AI performance
Knowledge of security risks and mitigation strategies for autonomous AI agents, including OWASP guidelines
Proficiency in Python and experience with libraries such as Pandas, Tabula, and TensorFlow/PyTorch
Strong problem-solving skills and attention to detail
Excellent communication and documentation skills

Job Responsibility

Develop and implement enterprise scale cutting edge models such as visual document understanding and text2code
Implement and Optimize vector-based retrieval systems for RAG by covering embedding models, ANN indexing, hybrid search, and re-ranking
Implement autonomous AI agents to implement adaptive, error resistant data extraction, and content validation tasks
Develop and deploy enterprise software applications using state of the art practices, such as micro services, modular code, as well as proficiency in writing unit and integration tests to ensure the accuracy and reliability of the AI applications
Ensure data privacy and security in all AI-driven processes, adhering to OWASP guidelines and Citi’s stringent authentication and authorization policies
Collaborate with cross-functional teams to integrate AI solutions into existing workflows
Document the development process and create comprehensive technical specifications
Manage and maintain AI applications, ensuring best practices in model management and versioning
Deploy resulting AI applications using industrial strength framework and processes, including Kubernetes and OpenShift for scalable and efficient operations on-premises
Ability to research and develop and utilize transformer-based models for enhanced application performance

Fulltime

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

ML Postdoc Researcher - LLMs & Generative AI

Truveta is the world’s first health provider led data platform with a vision of ...

Location

United States , Seattle

Salary:

50.00 - 60.00 USD / Hour

Truveta

Expiration Date

Until further notice

Requirements

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

Job Responsibility

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

What we offer

Competitive compensation
Company-issued laptop and equipment
Opportunities for future full-time positions

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...

Location

United States , Milpitas

Salary:

117500.00 - 270000.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
strong programming skills in Python, data structures, and algorithms are required
experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
experience in Python Web Frameworks – Django, Flask - a plus but not required.

Job Responsibility

conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
publishing in top conferences like NeurIPS, AAAI, and ACL
developing patent applications
software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.

What we offer

a competitive salary and extensive social benefits
diverse and dynamic work environment
work-life balance and support for career development
health and wellbeing programs
personal and professional development programs
diversity, inclusion, and belonging initiatives.

Fulltime

Post Doctoral Machine Learning Research Scientist

The Core Machine Learning Research team within the Artificial Intelligence Resea...

Location

United States , Milpitas

Salary:

47.75 - 72.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning
Extensive experience in deep learning research is required, preferably with Reinforcement Learning and Large Language Models
Experience in developing applications with deep learning frameworks like PyTorch with a high software proficiency

Job Responsibility

LLM and agentic architectures with refinements to enhance trust for complex applications and workflows
Multi-agent and multi-objective reinforcement learning for complex physical systems
Generative models and Optimization for scientific domains such as inertial confinement fusion
Scalable, safe AI systems that push the boundary of what’s possible in applied ML

What we offer

Comprehensive suite of benefits that supports physical, financial and emotional wellbeing
Specific programs catered to helping you achieve career goals
Inclusive working environment
Collaborations with top-tier research institutions, national labs, and global AI initiatives

Fulltime

Senior Machine Learning Engineer, Agentic

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York; Washington; Denver; Westlake; Chicago; Lake Mary; Clearwater; Gainesville

Salary:

146000.00 - 220000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

Strong technical expertise in software development, with understanding of agentic workflows—including reasoning loops, tool invocation, memory, and orchestration of autonomous AI agents
Hands-on experience using Large Language Models, including prompt engineering, fine-tuning, model distillation, and deploying optimized models (e.g. via DPO, PPO) into production environments
Proven ability to build and scale ML/AI systems, from experimentation to deployment—owning dataset generation, evaluation pipelines, A/B testing, and performance monitoring
Leadership and mentorship capabilities, with a track record of guiding complex technical projects and supporting the growth of teammates through code/design reviews and technical direction
Excellent communication and collaboration skills, with the ability to translate technical ideas into actionable plans and work effectively with cross-functional partners, including product and infrastructure teams
Innovation mindset and commitment to continuous learning and a bias toward action, staying at the forefront of ML/AI trends, agentic systems research, and best practices in tooling, safety, and evaluation

Job Responsibility

Design and create tools and workflows for agent development that support rapid prototyping—define agents, compose toolchains, and construct reasoning loops with minimal overhead
Build platform solutions to support scalable experimentation, synthetic dataset generation, and multi-agent evaluation across diverse tasks and domains
Develop feedback and optimization pipelines that incorporate both automated metrics and human-in-the-loop evaluation signals to fine-tune agent behavior
Implement and scale optimization techniques such as Direct Preference Optimization (DPO), Proximal Policy Optimization (PPO), and reward modeling to improve agent performance
Launch and support fine-tuned models in production environments with robust evaluation, rollback strategies, and performance monitoring
Collaborate closely with applied AI/ML teams to translate state-of-the-art research in agentic reasoning, planning, and tool use into reliable, production-ready systems

What we offer

Market competitive and pay equity-focused compensation structure
100% paid health insurance for employees with 90% coverage for dependents
Annual lifestyle wallet for personal wellness, learning and development, and more
Lifetime maximum benefit for family forming and fertility benefits
Dedicated mental health support for employees and eligible dependents
Generous time away including company holidays, paid time off, sick time, parental leave, and more
Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Bonus opportunities
Equity

Fulltime

AI Researcher (Large Language Models)

Tavus

Location:
United States , San Francisco

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 18, 2026

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