NeurIPS 2025 Career Opportunities

USA - Seattle

Job Overview

At Arm, our research shapes the future of energy-efficient AI. We build the foundations of tomorrow’s intelligent systems - from next-generation processors and accelerators to cutting-edge ML models and tools. As Research Scientist, you’ll be part of a global team pushing the boundaries of what’s possible at the intersection of AI, architecture, and scalable compute.

We’re looking for curious, collaborative researchers who want to turn deep technical insights into real-world impact. Whether you’re advancing algorithms for efficient learning, designing ML-friendly compute architectures, or experimenting with new model deployment paradigms - your work at Arm can influence billions of devices worldwide.

Responsibilities

Your contributions will vary depending on your expertise, but may include: Investigating novel approaches and applications in machine learning Exploring how to make machine learning models and workloads more scalable, portable, and power-efficient Developing proof-of-concepts, prototypes, or simulation environments to test research ideas Collaborating with teams across Arm to integrate research into products and platforms Publishing, presenting, or contributing to academic and industrial research communities Working with partners and ecosystem stakeholders on long-term innovation initiatives

Required Skills and Experience

Strong foundational experience in machine learning, computer science, electrical / computer engineering, or related field. Proficiency in programming languages such as Python, C/C++, or similar Experience designing, training, or analyzing machine learning models or systems Interest in research and long-term innovation beyond immediate product delivery

“Nice to Have” Skills and Experience

Up to date understanding of machine learning trends Contributions to open-source or peer-reviewed publications Exposure to deploying machine learning models on edge, devices, or mobile platforms Familiarity with machine learning model optimization or deployment Familiarity with Arm architecture

We are now looking for a Senior Research Scientist focused on Multimodal Foundation Models and Robotics! NVIDIA is searching for an outstanding research scientist to build humanoid robot foundation models and systems in the Generalist Embodied Agent Research (GEAR) group. Everything that moves will eventually be autonomous. Our mission is to build general-purpose embodied agents that learn to explore and master complex skills across the virtual and the physical world.

You will work with an amazing and collaborative research team that consistently produces influential works on multimodal foundation models, large-scale robot learning, game AI, and physical simulation. Our past projects include Eureka, VIMA, Voyager, MineDojo, MimicPlay, Prismer, and more. One of our team’s most recent milestones includes Project GR00T, a foundation model for humanoid robots. Your contributions will have a significant impact on our moonshot research projects and product roadmaps.

What you will be doing: Design and implement novel AI algorithms and models for general-purpose humanoid robots and embodied agents;

Develop large-scale AI training and inference methods for foundation models;

Optimize and deploy AI models in physical simulation and on robot hardware;

Collaborate with research and engineering teams across all of NVIDIA to transfer research to products and services.

What we need to see: A Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or equivalent research experience.

5 years of relevant work/research experience across one or both of these fields: Multimodal Foundation Models

Hands-on training experience and publications in at least one of the following topics: LLMs; Large vision-language models; Video generative models and diffusion algorithms; or Action-based transformers.

Outstanding engineering skills in rapid prototyping and model training frameworks (PyTorch, Jax, Tensorflow, etc.). Python is required; C++ and CUDA proficiencies are a big plus;

Excellent skills in working with large-scale machine learning/AI systems and compute infrastructure.

Robotics: Hands-on training experience and publications in robot learning, such as reinforcement learning, imitation learning, classical control methods, etc.

Strong programming skills in Python, C++, ROS, and machine learning frameworks like PyTorch.

Deep understanding of robot kinematics, dynamics, and sensors;

Ability to safely operate robot hardware, lab equipment, and tools;

Knowledge of control methods, including PID, model predictive control, and whole-body control;

Familiarity with physics simulation frameworks such as MuJoCo and Isaac Sim;

Robot hardware design and hands-on building experience.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and productive people in the world. Please join us and be part of the forefront of developing general-purpose robots and embodied agents!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 299,000 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

San Francisco

WRITER is looking for an AI engineer with a strong software engineering background to join our expanding team of AI experts.

At WRITER, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our AI engineers, we can continue to build the most advanced language model available in the industry and revolutionize how companies interact with AI. We’re looking for a creative problem solver who has a deep understanding of NLP and ML technologies and who can help us create powerful and meaningful applications of AI.

As an AI engineer at WRITER, you'll play a pivotal role in developing and implementing state-of-the-art generative AI models and algorithms. Collaborating closely with our diverse and dynamic team of software engineers, data scientists, and researchers, you'll be able to design and deploy AI solutions that drive our innovative products.

If you’re passionate about using AI to transform the enterprise, we want to hear from you.

Your responsibilities

• Collaborate closely with our broader engineering team, data scientists, and AI engineers to evolve our software architecture as we productize new AI-powered capabilities
• Evaluate the performance of AI models & systems through rigorous testing and experimentation.
• Deploy LLM-based applications in production, evaluating and improving their performance over time
• Collaborate with our skilled software engineers to seamlessly integrate AI-powered capabilities into production systems, ensuring scalability and efficiency.
• Stay up-to-date with the latest advancements in AI and machine learning research, and proactively suggest improvements to enhance our generative AI capabilities.
• Collaborate closely with cross-functional teams to understand business requirements and translate them into innovative AI solutions.
• Own the design, implementation, and maintenance of robust and scalable production retrieval and agentic systems
• Implement strong testing and CI/CD practices that help us move with confidence in our AI system development

Is this you?

• Bachelor’s degree in Computer Science, Engineering, Mathematics, related field, or equivalent experience
• High level of coding proficiency using Python
• 5+ years of professional experience in software engineering, AI/ML development including:
• Proficiency with production software (Python) and systems design
• Machine learning algorithms and model development techniques
• ML lifecycle tools like MLflow, dvc, weights & biases
• Cloud deployment of ML systems
• Professional experience with LLMs and large-scale models
• Very strong software engineering skills with a track record of building scalable, distributed product machine learning systems
• Strong analytical and problem-solving skills
• Ability to communicate complex ideas and concepts effectively
• Ability to work independently and collaboratively

JR2003228

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Generative AI teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

What you will be doing: Design and implement algorithms that push the boundaries of generative AI, computer vision, robotics, and other technology domains relevant to NVIDIA’s business.

Collaborate with other team members, teams, and/or external researchers.

Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research.

What we need to see: Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship.

Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: Python, C++, CUDA, Deep Learning Frameworks (PyTorch, JAX, Tensorflow, etc.)

Strong background in research with publications at top conferences.

Excellent communication and collaboration skills.

Experience with large-scale model training is a plus.

Potential internships require research experience in at least one of the following areas: Multimodal Foundation Models

Diffusion Models

World Models

Image, Video, or Audio Generation

Large Language Models

Vision-Language Models

Action-Based Transformers

Long Context Methods

Physics-Based Simulation

Flow Based Generative Models

Synthetic Data Generation

AI for Science

Protein/Molecule Generation

Climate Modeling and Weather Forecasting

Partial Differential Equations (PDEs)

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 30 USD - 94 USD.

You will also be eligible for Intern benefits. ​

Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

New York, NY

The Department of Computer Science at The Cooper Union for the Advancement of Science and Art, jointly with the Center for Computational Mathematics (CCM) of the Simons Foundation’s Flatiron Institute invites outstanding candidates to apply for a joint computer science faculty position in the general area of machine learning.

The position is a 50-50 joint appointment between The Cooper Union and CCM, with the appointee allocating half of their effort in each place.

At The Cooper Union, the position is a tenured track full-time faculty position in computer science and will be engaged in accordance with Cooper Union’s relevant policies and procedures. At CCM, the position will be at the Associate Research Scientist level, in accordance with the Simons Foundation’s relevant policies and procedures.

To apply and for more details: https://apply.interfolio.com/174130 https://cooper.edu/work/employment-opportunities/albert-nerken-school-engineering-computer-science-joint-tenure-track Candidates must submit applications at both of the above links.

Introduction of School (located in Shenzhen, China)

The School of Artificial Intelligence (SAI) of The Chinese University of Hong Kong, Shenzhen was founded on February 13, 2025. (https://sai.cuhk.edu.cn/)

The School is committed to addressing the critical national strategic needs and advancing the international frontiers in artificial intelligence. Rooted in the strategic development plan of the Guangdong-Hong Kong-Macao Greater Bay Area and leveraging the industrial strengths of the vibrant Shenzhen Special Economic Zone, the School builds on the solid academic foundation of The Chinese University of Hong Kong, Shenzhen to advance AI foundations and technologies. With a strong emphasis on internationalization, the School aims to create an interdisciplinary and innovative learning environment that equips students with a solid foundation in computer science, mathematics, statistics, and cognitive science, enabling them to fully grasp the principles and applications of AI.

The School strives to elevate China’s teaching and research capabilities in AI through a series of systematic, original breakthroughs with significant international impact. It aims to nurture top-tier professionals and interdisciplinary talents for the nation, the Greater Bay Area, and Shenzhen, providing a continuous supply of talent and research support for the sustainable development of the AI industry.

Post Specification (Application link: https://jobs.cuhk.edu.cn/jobDetails?id=285, contact us: talent4sai@cuhk.edu.cn)

Newly established, The School of Artificial Intelligence (SAI) at The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen) is pleased to invite applications for full-time faculty positions at all academic ranks with multiple positions. We welcome candidates with expertise in, but not limited to, the following areas:

l Natural Language Processing (NLP): Large language models (LLMs), sentiment analysis, multilingual AI, and generative AI.

l Machine Learning and AI Foundations: Reinforcement learning, transfer learning, representation learning, trustworthy/explainable AI, and computational cognitive science.

l Embodied AI: Human-robot interaction, multi-modal perception, and AI for autonomous decision-making systems.

l Large-scale AI and Distributed Machine Learning: Scalable AI systems, distributed computing architectures, and multi-agent learning frameworks.

l Robotics and Autonomous Systems: Motion planning, intelligent navigation, embodied intelligence, robot design, nano-robots, swarm robotics, medical robotics, and AI for dynamic environments.

l AI Ethics and Society: Fairness, accountability, transparency, and the social implications of AI technologies.

l Emerging AI Paradigms: Neuro-symbolic AI, lifelong learning, quantum AI, and cognitive-inspired computing models.

l AI and Applications: AI for Science, AI for Business and Economics, AI for Medicine, AI for Society, etc.

l Signal Processing: AI-driven statistical signal processing, graph signal processing, and data-driven signal analysis for complex systems.

l Mathematical Sciences: Statistics, advanced computational mathematics, numerical optimization techniques, and mathematical foundations for AI and machine learning.

Qualified candidates have a doctoral degree in Computer Science, Electrical Engineering, Mathematical Science, and other related fields, complemented by postdoctoral training and relevant work experience in related research areas. Applicants for professorships at the rank of Professor or Associate Professor are expected to have an established research program with a funding history, independent research and teaching experiences, and an excellent publication record. We also welcome candidates with teaching experience in related fields for Lecturer and Assistant Professor (Teaching) positions.

Chicago / Austin

As a Quantitative Research Intern, you will work side-by-side with our Research Team of mathematicians, scientists and technologists, to develop and enhance the models that drive Optiver’s trading. You will tackle a practical research project that has real-world impact and directly influences Optiver’s trading decisions. In our business, where the markets are always evolving, you will use your skills to predict its movements.

What you’ll do: Led by our in-house education team, you will delve into trading fundamentals and engage in a research project that makes a real-world impact. You will be paired with one of Optiver’s seasoned researchers, providing you exposure to a variety of research areas, including: • Using statistical models and machine learning to develop trading algorithms. • Leveraging big data technologies to analyze high-frequency trading strategies, market microstructure, and financial instruments to identify trading opportunities. • Building stochastic models to determine the fair value of financial derivatives. • Combining quantitative analysis and high-performance implementation to ensure the efficiency and accuracy of pricing engines and libraries.

What you’ll get: You’ll join a culture of collaboration and excellence, surrounded by curious thinkers and creative problem-solvers. Motivated by a passion for continuous improvement, you’ll thrive in a supportive, high-performing environment alongside talented colleagues, collectively tackling some of the toughest challenges in the financial markets.

In addition, you’ll receive: • The opportunity to work alongside best-in-class professionals from over 40 different countries • The opportunity to earn a return internship or full-time offer in Chicago, Austin, New York City, or Amsterdam based on performance • A highly-competitive internship compensation package • Optiver-covered flights, living accommodations, and commuting stipends • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are: • Currently enrolled in a PhD program in Mathematics, Statistics, Computer Science, Physics or a related STEM field with outstanding academic performance • Expected graduation between December 2026 and June 2028 • Available to intern during Summer 2026 • Open to full-time opportunities upon graduation in 2027 or 2028 • Solid foundation in mathematics, probability, and statistics • Excellent research, analytical, and modeling skills • Independent research experience • Proficiency in any programming language • Experience in machine learning, with practical applications in time-series analysis and pattern recognition • Strong interest in working in a fast-paced, collaborative environment • Fluent in English with strong written and verbal communication skills

Who we are: At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe. Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

Optiver is supportive of US immigration sponsorship for this role.

*We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can reapply once the next recruitment season begins in 2026.

San Francisco

We are seeking a talented software engineer with generative AI experience who is deeply proficient with python and typescript to join our dynamic and growing team at Writer. As a key member of our engineering team, you will play a crucial role in building the genAI software. Your primary focus will be on developing a state-of-the-art platform that harnesses generative AI technologies and you will deliver seamless and scalable solutions. You will work closely with cross-functional teams to design, implement, and maintain features that enhance the user experience, drive product growth, establish best practices, and integrate cutting-edge AI capabilities.

Your responsibilities

• Design and develop robust and scalable generative AI services using Python and open source frameworks such as Writer Agent Builder, LangChain, and n8n.
• Implement responsive and user-friendly frontend interfaces, leveraging technologies like React, TypeScript, and modern web frameworks.
• Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale applications.
• Develop and integrate high-performance, low-latency APIs for AI-driven features.
• Ensure code quality through testing, peer reviews, and continuous integration.
• Collaborate with the team to build, and maintain generative AI agents.
• Participate in architectural design discussions and promote engineering best practices.
• Continuously improve the application’s performance, scalability, and maintainability.

Is This You?

• 5+ years of experience in software engineering at expert level with Python
• Experience building web applications using FastAPI and Asyncio
• Experience building with generative AI applications in production environments.
• Expertise with microservices architecture and RESTful APIs.
• Solid understanding of database technologies such as PostgreSQL and vector databases as Elastic, Pinecone, Weaviate, or similar.
• Familiarity with cloud platforms (AWS, GCP, etc.) and containerized environments (Docker, Kubernetes).
• Familiarity with MCP, devtools, AI agents, or contributed to open source
• You are committed to writing clean, maintainable, and scalable code, following best practices in software development.
• You enjoy solving complex problems and continuously improving the performance and scalability of systems.
• You thrive in collaborative environments, working closely with cross-functional teams to build impactful features.
• Proven ability to help teams adopt technical best practices.

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Remote, US

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.

Pinterest helps Pinners discover and do what they love. Core Engineering touches every surface the Pinner sees across the app and forms the front-and-center of the Pinterest experience for 500M+ Pinners every month. The Core team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Machine Learning Engineer Engineering Manager II who can drive the team’s technical direction, strategic planning and execution. You'll have the opportunity to lead a team that works cross-team on various innovative projects of new product experiences, builds large-scale low-latency systems and state-of-the-art machine learning models, and delivers great impact to our pinners and business metrics.

What you’ll do:

• Be responsible for major areas of search, recommendations, notifications, etc. for more than 500 million monthly active Pinterest users. Potential areas of impact include ML-based retrieval, multi-domain ranking, L1 modeling, candidate generators, sequence modeling, relevance modeling, and infrastructure efficiency and scalability.
• Deeply understand the Pinterest product and drive the vision for the team, ensuring the team’s work directly contributes to the company’s goals.
• Manage and mentor a team of Machine Learning engineers (L13–L16), providing technical guidance and support to help them grow their careers. Identify team needs and hire strong candidates.
• Collaborate closely with other engineering teams at Pinterest to enhance the experience for users, including Advanced Technology Group, Infrastructure, Content Understanding and User Understanding.
• Provide visibility to senior leadership regarding the team’s global impact.
• Partner with stakeholders across the company, including product management, data scientists, and design, to shape the future of the content ecosystem and personalization at Pinterest.
• Build a culture of excellence and expertise within the team.

What we’re looking for:

• Degree in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
• Experience leading and working on a large-scale production recommendation, e-commerce, search or ads system that is based on state-of-the-art machine learning and big data technology.
• Strong experience in related fields such as recommendation systems and applied machine learning is required; natural language processing and computer vision are a bonus.
• Demonstrated ability to define and drive the strategic roadmap for scalable, production-quality systems from concept to execution.
• Strong focus on product impact and user experience within a consumer-focused environment.
• Minimum of 1 year of experience managing a high-performing machine learning engineering team.
• 8+ years of experience in software development, with a proven track record of delivering impactful solutions.

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning Computer Architecture teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.

Course or internship experience related to the following areas could be required:
Computer Architecture experience in one or more of these focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems  

GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems, Deep Learning Frameworks (PyTorch, TensorFlow, Keras, Caffe), HPC (MPI, OpenMP)
Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
Performance Modeling, Profiling, Optimizing, and/or Analysis

Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits. ​

Applications are accepted on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.