NeurIPS 2025 Career Opportunities

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.

The role
Nebius is hiring a driven and industry-savvy Lifesciences Solutions Partner - US to join our growing Healthcare & Life Sciences (HCLS) team. As a strategic connector between the Global Head of HCLS and regional Account Executives (AEs), you will play a pivotal role in accelerating go-to-market execution, deepening client engagement, and ensuring our cloud and AI solutions align with the business, scientific, and regulatory needs of the life sciences ecosystem. You will manage strategic client relationships, identify and develop new business opportunities, and collaborate with partners - with a strong focus on the Pharmaceutical, Biotechnology, Drug Development, and Genomics segments. Your ability to understand complex scientific and business challenges, craft tailored solutions, and thrive in a fast-moving, innovation-led environment will define your success. This role combines consultative selling, industry expertise, and commercial execution, helping customers unlock the full potential of the Nebius platform.

You’re welcome to work remotely from United States.

Your responsibilities will include:
- Demonstrate a deep understanding of Nebius and the value to our customers. - Own and grow your territory: Maintain and deliver against a strategic plan for region/territory. Help AE’s qualify and prioritise opportunities through an HCLS and compliance lens. Lead and - support strategic discussions with pharma and biotech. - Client Engagement: Develop deep relationships with key stakeholders across the enterprise, positioning our AI and cloud solutions to address client-specific challenges. Act as a trusted advisor to pharma and biotech clients, driving engagement and long-term relationships. Identify opportunities to apply AI/ML, HPC, and data platforms in drug discovery and clinical operations. - Deal Support & Sales Acceleration: Partner with Account Executives to shape account strategy, value messaging, and proposal content that will secure deals to meet revenue targets. Help qualify and prioritise opportunities through an HC&LS and compliance lens. Support complex deal cycles where domain credibility and regulatory insight are critical. - Solution Selling: Demonstrate the value of AI and cloud solutions through consultative selling, product demonstrations, and presentations. - Regional Representation: Represent Nebius AI at regional and industry events, and customer meetings. - Market Knowledge: Stay updated on industry trends, emerging technologies, and competitive landscape to position our solutions effectively. - Forecast with accuracy; progress deals through the Salesforce sales process and deliver against ACV / activity targets.

We expect you to have:
- Proven Experience: 8+ years of experience in B2B sales, particularly in AI, cloud, or data infrastructure, with a clear hunter track record. - Passion and desire to work in a startup culture, directly impacting the growth of the company -Comfortable selling cloud platforms (AWS, Azure, Google Cloud), AI solutions, and related technologies. - Strong commercial acumen: value mapping, negotiation, multi‑year deals, and exec-level‑ storytelling. - High energy, enthusiasm, and evidence of consistent growth vs. quota. - CRM Proficiency: Experience with CRM tools such as Salesforce, HubSpot, or similar.

Ability to travel as needed. - It will be an added bonus if you have:
- 5 - 10 years in pharma, biotech, or life sciences, ideally in consulting, GTM, product, or pre-sales roles. - Deep understanding of drug discovery and development processes, scientific data workflows, and regulatory frameworks. - Proven ability to communicate complex scientific and technical concepts to non-technical stakeholders. - Previous experience in a high-growth, start-up environment ideally selling cloud, AI/ML or HPC solutions. - Exposure to SaaS models or cloud infrastructure sales. - Experience selling to mid-market or enterprise-level clients

Location London

Description:

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incentivising collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organisations and universities to solve problems.

Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models.

We are seeking research scientists with a demonstrated ability to apply machine learning to achieve state-of-the-art capabilities in complex and challenging domains. The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure. Potential projects may target any area of the quantitative research and monetisation process. We believe that successful research efforts require a fluid mix of skills including ML expertise, engineering pragmatism, statistics and market intuition.

Other duties as assigned or needed.

Skills You’ll Need:

• Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research
• Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)
• Solid development skills in Python and/or C++
• Familiarity with ML libraries/frameworks such as PyTorch, TensorFlow, and/or JAX
• Intellectual curiosity, versatility, and originality combined with a pragmatic outlook
• Ability to thrive in a collaborative, team-oriented environment
• Ability to reason through quantitative problems and communicate effectively with trading researchers
• Reliable and predictable availability required

Bonus Points:

• Experience with HPC and distributed large model training
• Experience with GPU performance optimisation (CUDA or ROCm)
• Experience with end-to-end model development
• Strong opinions on best practices in ML research, tooling, and/or infrastructure

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions.

Pinely is a privately owned algorithmic trading firm specializing in high-frequency and mid-frequency trading. We’re based in Amsterdam, Cyprus, and Singapore, and we’re experiencing rapid growth. Pinely is a high-frequency algorithmic trading firm based in Amsterdam. We develop robust and adaptive strategies across diverse markets and actively support the Olympiad movement; many team members are award-winning mathematicians, researchers, and engineers.

Researchers work in a fast-paced HFT environment where ideas quickly reach production. They are supported by a strong infrastructure team enabling large-scale experiments and reliable deployment. Our flat structure encourages autonomy, creativity, and direct impact. We value an informal, idea-driven culture.

We are opening a position for a Junior Deep Learning Researcher in our Amsterdam office.

Responsibilities:

• Conduct research in AI, machine learning, and related quantitative fields
• Develop and experiment with modern deep learning architectures
• Analyze large, unstructured, noisy datasets
• Collaborate with developers and researchers on optimizing trading strategies
• Explore new methods and technologies to improve research outcomes

Requirements:

• Publications in ICML, NeurIPS, ICLR, CVPR, ICCV
• Degree in mathematics, physics, computer science, or another quantitative field (or expected within a year)
• Knowledge of ML, probability theory, and statistics
• Strong Python skills
• Some C++ experience
• Practical experience with modern DL architectures
• Background in working with large noisy datasets

What we offer:

• High base salary with substantial biannual bonuses
• Relocation package to Amsterdam with flexible terms
• Flexible workflow and schedule
• Team of top mathematics and programming competition winners
• Cutting-edge hardware, strong engineering support, and fast idea implementation
• Internal training, comprehensive health insurance, sports reimbursement, and biannual corporate events

San Jose, CA, USA

We are looking for a hands-on, systems-oriented AI Agent Engineer to design, build, and maintain intelligent agents that drive automation and business impact across the enterprise. This role is responsible for the full lifecycle of agent development — from design to versioning, orchestration, and continuous learning.

You’ll contribute directly to scaling our AI strategy by engineering reusable components, optimizing agent workflows, and ensuring real-world performance in production environments.

What you'll Do

• Agent Development: Build and fine-tune specialized AI agents for targeted customer experience use cases such as discovery, support, and lead qualification. Implement prompt engineering strategies, memory handling, resource management and tool-calling integrations

• Multi-Agent Communication: Adopt agent-to-agent communication protocols and handoff mechanisms to enable cooperative task execution and delegation. Build orchestrated workflows across agents using frameworks like LangChain, AutoGen, or Semantic Kernel

• Templates & Reusability: Create reusable agent templates and modular components to accelerate deployment across business units. Build plug-and-play configurations for domain-specific requirements.

• Lifecycle Management & Monitoring: Track and improve conversation quality, task success rate, user satisfaction, and performance metrics. Automate monitoring of agent behavior using observability tools (e.g., Arize, LangSmith, custom dashboards)

• Continuous Improvement: Implement learning workflows, including human-in-the-loop feedback and automatic retraining. Refine prompts and model behavior through structured experimentation and feedback loops.

• Maintenance & Governance: Handle knowledge base updates, drift detection, performance degradation, and integration of new business logic. Ensure agents stay aligned with evolving enterprise data sources and compliance requirements

• Deployment: Manage agent versioning, testing pipelines (unit, regression, UX), and controlled rollout processes. Collaborate with DevOps, QA, and infrastructure teams to ensure scalable deployments

What you need to succeed - 3–5+ years of experience in AI/ML engineering, NLP systems, or backend development - Strong proficiency with LLM frameworks (e.g., OpenAI APIs, LangChain, RAG pipelines) - Experience building conversational agents or workflow bots in production environments - Familiarity with cloud platforms (AWS/GCP/Azure), REST APIs, Python, and containerization (Docker, K8s) - Comfort with prompt design, vector databases, and memory handling strategies

Preferred Qualifications - Experience with multi-agent frameworks or agent orchestration systems - Familiarity with observability tools, data labeling workflows, or synthetic data generation - Background in conversational design or dialogue management systems - Degree in Computer Science, Data Science, Engineering, or a related field

Nanyang Technological University, Singapore, ranked 12th in the 2026 QS World University Rankings, is recruiting four research fellows (post-doc) and two research associates (with master’s degree) in the following areas:

1. Image authentication (classifying whether an image is real, AI modified or generated)
2. Image and video watermarking
3. Video processing (event detection, object detection and summarization)
4. Biometrics (face recognition and soft biometrics)

The project aims to develop state-of-the-art methods and systems to address real-world challenges and risks from generative AI and massive real and AI generated images and videos.

The project starts on 1 March 2026, and the duration is 2 years and extendable.

We are seeking high quality researchers, like you to join our team to tackle the real-world challenges from generative AI. Your work may be able to deploy worldwide through our partners.

General Requirements:

• Excellent teamwork and verbal, written communication skills
• Preferably a strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, ICCV, TIP, TIFS, TMM and TBio
• Preferably publications related to the four areas
• Strong software implementation skills
• Ability and willingness to work some flexible hours

Applications:

Please email your CV and selected publications to adamskong@ieee.org AND xiaobao.guo@ntu.edu.sg with an email title "Application for Research Fellow / Research Associate, 2026".

More information about:

• Nanyang Technological University: https://www.ntu.edu.sg/
• PI of the project: https://personal.ntu.edu.sg/AdamsKong/
• The openings: https://personal.ntu.edu.sg/AdamsKong/Research%20fellow%20and%20Research%20Associate%20Openings.pdf

Salesforce Research is looking for outstanding research interns. Ideal candidates have a strong background in one or more of the following fields:

Conversational AI Multimodal Data Intelligence Multimodal Content Generation Fundamentals of Machine Learning and AI Responsible & Trusted AI Natural Language Processing Areas of Application:

Software Intelligence AI for Operations AI for Availability & Security Environment & Sustainability Candidates that have published in top-tier conferences or journals (e.g. NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR,) are preferred. As a research intern, you will:

Work with a team of research scientists and engineers on a project that ideally leads to a submission to a top-tier conference

Learn about exciting research and applications outside your expertise

Focus on pure research that incorporates into your PhD focus area and contributes to the AI Community

Attend conferences with our researchers to showcase your accepted papers

Requirements:

PhD candidate in a relevant research area Excellent understanding of deep learning techniques, i.e., CNN, RNN, LSTM, GRU, GAN, attention models, and optimization methods Experience with one or more deep learning libraries and platforms, e.g. PyTorch, TensorFlow, Caffe, or Chainer Strong background in machine learning, natural language processing, computer vision, or reinforcement learning Strong algorithmic problem solving skills Programming experience in Python, Java, C/C++, Lua, or a similar language This internship is a minimum of 12 weeks

Palo Alto

Our formula for success is to hire exceptional people, encourage their ideas and reward their results.

As an AI Researcher, you will be an integral member of a team of experienced technologists, researchers, quants and traders. You will collaborate closely with two other researchers to solve challenging AI and machine learning problems. Your projects will vary depending on priorities at the start of your employment and could include AI for time series modeling, or developing large language models (LLMs). We are looking for individuals eager to learn new AI technologies, create innovative solutions, and choose the right tools to directly impact our business. You will be surrounded by cutting-edge technology, given immediate responsibility, mentored by industry-leading experts, and attend a robust training program to ensure your success at DRW.

How you will make an impact... Algorithm Development: Creating and testing new AI models and algorithms to solve specific problems or improve existing methods. Data Engineering: Building data pipelines for model training and evaluation, including data collection, cleaning, preprocessing, and labeling, while contributing to better data management practices. Model Testing & Evaluation: Designing and implementing rigorous testing frameworks to assess model performance and identify areas for improvement. Collaboration: Working closely with team members to establish and refine research methodologies, promoting peer reviews, testing, and thorough documentation. Research & Learning: Staying updated on the latest AI techniques and advancements, sharing insights, and actively bringing improvements to research processes.

You will be right at home if you have… A PhD in artificial intelligence, machine learning, computer science, or a related field graduating between December 2025 and June 2026. Strong foundation in AI concepts. Strong knowledge of machine learning. Solid technical and programming skills (Python, Java, GitHub). Familiarity with machine learning framework (Spark, PyTorch, etc.). Excellent analytical, problem-solving, and communication skills. Deep interest in financial markets. Experience with NLP tasks Knowledge of TensorFlow or PyTorch. Basic understanding of MLOps principles (monitoring, versioning, model serving).

Learning Opportunities: Gain in-depth experience with cutting-edgeML/AI techniques and model deployment. Develop robust machine learning research skills, from data engineering to model evaluation, while contributing to advancements in AI methodologies and practices. Contribute to research projects with potential impact on financial decision-making and other applied domains. Engage in fostering a collaborative research culture, driving improvements in research quality, and interdisciplinary collaboration.

The annual base salary range for this position is $175,000 to $200,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

Amsterdam

Flow Traders is committed to leveraging the most recent advances in machine learning, computer science, and AI to generate value in the financial markets. We are looking for Quantitative Researchers to join this challenge.

As a Quantitative Researcher at Flow Traders, you are an expert in mathematics and statistics. You are passionate about translating challenging problems into equations and models, and have the ability to optimize them using cutting-edge computational techniques. You collaborate with a global team of researchers and engineers to design, build, and optimize our next generation of models and trading strategies.

Are you at the top of your quantitative, modeling, and coding game, and excited by the prospect of demonstrating these skills in competitive live markets? Then this opportunity is for you.

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; Los Angeles, CA, 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 is one of the fastest growing online ad platforms, and our success depends on mining rich user interest data that helps us connect users with highly relevant advertisers and products. We’re looking for a leader with experience in machine learning, data mining, and information retrieval to lead a team that develops new data-driven techniques to show the most engaging and relevant promoted content to the users. You’ll be leading a world-class ML team that is growing quickly and laying the foundation for Pinterest’s business success.

What you’ll do:

• Manage and grow the engineering team, providing technical vision and long-term roadmap.
• Design and implement algorithms for real-time bidding, ad scoring/ranking, inventory selection and yield optimization on the DSP.
• Hire, mentor and grow a team of engineers. Set technical direction, manage project roadmaps, and actively guide team execution. Collaborate across Product, Engineering, Marketing and Sales – translating business goals into ML requirements and ensuring solutions meet cross-functional needs.
• Drive product strategy and advocacy: define and evangelize the ML roadmap for programmatic products, present findings and roadmaps to senior leadership, and work with stakeholders to align analytics projects with company goals (e.g. privacy-first personalization, new DSP features).

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 10+ years of industry experience building production machine learning systems at scale, data mining, search, recommendations, and/or natural language processing.
• Experience in programmatic advertising or information retrieval contexts (RTB, DSP/SSP, search), with familiarity with ad campaign metrics, auction mechanics and yield optimization.
• Excellent cross-functional collaboration and stakeholder communication skills.