NeurIPS 2025 Career Opportunities

Amsterdam

If you enjoy mathematical challenges and writing computer programs, you could be instrumental in the success of Optiver’s dynamic trading floor as our next Graduate Quantitative Researcher. With your statistics knowledge and top-tier analytical abilities, you’ll create the insights that drive our trading strategies. Get ready to collaborate with world-class Traders and Software Engineers from more than 50 countries to improve financial markets across the globe. This is your chance to get involved and see how valuable research and data are to the future of electronic trading.

WHAT YOU’LL DO: Quantitative Research acts as the foundation upon which Optiver’s trading activities are built. Our research teams – experts in a variety of STEM subjects – utilise a scientific approach to research and design our world-class trading algorithms. This means applying and developing state-of-the-art stochastic models to price options and predict market volatility, as well as utilising Monte Carlo methods. It also means developing statistical arbitrage strategies by working with petabytes of low latency, high-frequency market data sets, an extensive high-powered computing back-testing framework and much more. Optiver Researchers believe in academic discourse, and therefore invite their teammates and Traders to challenge each hypothesis. Constant testing, analysis, refinement and innovation ensures our quantitative models remain at the cutting-edge of constantly evolving capital markets – you will play a key role in keeping us there.

WHO YOU ARE: We’re looking for aspiring Quantitative Researchers who are versatile and creative in innovating and suggesting new solutions. In return, we’ll give you the freedom to pursue your ideas and implement them right into our production systems. In terms of skills and qualifications, we’re looking for: • An academic degree in Engineering, Physics, Maths, Econometrics, Computer science or equivalent, with outstanding academic achievements • Programming experience in any language (preferably Python, but C, C++, Basic, JAVA, etc. are also a plus) • Ability to apply concepts of probability, calculus and linear algebra • Competitive attitude and eagerness to constantly improve • Ability to learn quickly • Excellent verbal and written English language skills

WHAT YOU’LL GET: You’ll join a culture of collaboration and excellence, where you’ll be 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 talent colleagues, working collaboratively to tackle the toughest problems in the financial markets. In addition, you’ll receive: • A performance-based bonus structure, enabling all of our employees to benefit from our global profit pool • The opportunity to work alongside best-in-class professionals from over 50 countries • 25 paid vacation days in your first year, increasing to 30 from your second year onwards • Training opportunities, discounts on health insurance, and fully paid first-class commuting expenses • Extensive office perks, including breakfast, lunch and dinner, world-class barista, in-house physio and chair massages, organised sports and leisure activities, and Friday afternoon drinks • Training and continuous learning opportunities, including access to conferences and tech events • Competitive relocation packages and visa sponsorship where necessary for expats

HOW TO APPLY: Are you interested in furthering your career on one of the most dynamic and exciting trading floors in Europe? Apply directly via the form below for the position of Graduate Quantitative Researcher. Please provide us with a CV in English. Unfortunately we cannot accept applications via email for data protection reasons.

Successful hires will expand the group's efforts applying machine learning to drug discovery, biomolecular simulation, and biophysics. Areas of focus include generative models to help identify novel molecules for drug discovery targets, predict PK and ADME properties of small molecules, develop more accurate approaches for molecular simulations, and understand disease mechanisms. Ideal candidates will have strong Python programming skills. Relevant areas of experience might include deep learning techniques, systems software, high performance computation, numerical algorithms, data science, cheminformatics, medicinal chemistry, structural biology, molecular physics, and/or quantum chemistry, but specific knowledge of any of these areas is less critical than intellectual curiosity, versatility, and a track record of achievement and innovation in the field of machine learning. For more information, visit www.DEShawResearch.com.

Please apply using this link: https://apply.deshawresearch.com/careers/Register?pipelineId=597&source=NeurIPS_1

The expected annual base salary for this position is USD 300,000 - USD 800,000. Our compensation package also includes variable compensation in the form of sign-on and year-end bonuses, and generous benefits, including relocation and immigration assistance. The applicable annual base salary paid to a successful applicant will be determined based on multiple factors including the nature and extent of prior experience and educational background. We follow a hybrid work schedule, in which employees work from the office on Tuesday through Thursday, and have the option of working from home on Monday and Friday.

D. E. Shaw Research, LLC is an equal opportunity employer.

Stellenbosch University, South Africa

The Department of Mathematical Sciences at Stellenbosch University (South Africa) has a 2-year postdoctoral position available in the area of machine learning for wildlife monitoring and conservation. The project will look at:

zero-shot capabilities of foundation models on challenging real-world datasets typical in African wildlife and environment monitoring (e.g., camera trap imagery);

few-shot learning and generative modelling to deal with these large, unlabelled, long-tailed, noisy image sets.

Applicants must have obtained a PhD degree within the last 4 years, in a field related to the project's themes. The fellowship must commence by 1 March 2026 (preferably sooner).

Applications and supporting documents can be submitted through this online form.

Applications close 15 December 2025.

Enquiries: Prof. Willie Brink (wbrink@sun.ac.za).

San Francisco / New York / Toronto

About Ideogram Ideogram’s mission is to make world-class design accessible to everyone, multiplying human creativity. We build proprietary generative media models and AI native creative workflows, tackling unsolved challenges in graphic design. Our team includes builders with a track record of technology breakthroughs including early research in Diffusion Models, Google’s Imagen, and Imagen Video. We care about design, taste, and craft as much as research and engineering – shipping experiences that creatives actually love.

We’ve raised nearly $100M, led by Andreessen Horowitz and Index Ventures. Headquartered in Toronto with a growing team in NYC, we're scaling fast, aiming to triple over the next year. We're a flat team with a culture of high ownership, collaboration, and mentorship.

Explore Ideogram 3.0, Canvas, and Character blog posts, and try Ideogram at ideogram.ai.

The Opportunity

In this role, you'll push the frontier of visual generative models. You’ll work on large-scale pre-training for our text-to-image foundation models, shaping objectives, algorithms, data, and systems, and turn novel ideas into models that power products used by millions of users. You'll work with a creative and ambitious team of researchers and engineers who are building the future of the creative economy.

What We're Looking For

• PhD or Master’s degree in Computer Science or equivalent industry experience.

• 5+ years of experience in AI research, including training, fine-tuning, and experimenting with foundation models beyond black-box use.

• Track record of first-author publications at top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV, ICCV, ACL, EMNLP).

• Strong proficiency in one or more deep learning frameworks (e.g., JAX, PyTorch).

• Experience communicating complex research to peers.

• Solid knowledge of programming languages and experience in developing, debugging, and optimizing beyond ML systems.

Our Culture

We’re a team of exceptionally talented, curious builders who love solving tough problems and turning bold ideas into reality. We move fast, collaborate deeply, and operate without unnecessary hierarchy, because we believe the best ideas can come from anyone.

Everyone at Ideogram rolls up their sleeves to make our products and our customers successful. We thrive on curiosity, creativity, and shared ownership. We believe that small, dedicated teams working together with trust and purpose can move faster, think bigger, and create amazing things.

Ideogram is committed to welcoming everyone — regardless of gender identity, orientation, or expression. Our mission is to create belonging and remove barriers so everyone can create boldly.

What We Offer 💸Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success. 🌴 4 weeks of vacation to recharge and explore. 🩺 Comprehensive health, vision, and dental coverage starting on day one. 💰 RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join. 💻 Top-of-the-line tools and tech to fuel your creativity and productivity. 🔍 Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case. We encourage curiosity and bold thinking. 🌱 A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey. 🏡 Fully remote flexibility across North America, with regular in-person team meetups and collaboration opportunities.iption

Global

Description

Qualcomm is proud to be attending NeurIPS 2025 in our home city San Diego, California! Qualcomm is powering efficient AI from edge to cloud, conducting novel foundational, platform, and applied AI research to enable intelligent computing everywhere.

We're inviting all those who have a passion for AI and are interested in opportunities in generative AI, visual AI, computer vision, and foundational machine learning to please follow the steps below.

1. Go to our Qualcomm - NeurIPS home page.

2 .Register by clicking on the blue link. This allows us to identify your application as someone we met at NeurIPS.

1. Apply to any of the linked positions below. Make sure you REGISTER first before applying. Your resume will stand out.

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.

Open positions in Mathematical, Statistical and Computational aspects of Artificial Intelligence and Machine Learning.

The Faculty of Mathematics and the Institute for Mathematical and Computational Engineering (IMC) from the Pontificia Universidad Católica de Chile (UC) are offering up to two full-time professor positions at the assistant or associate level. The successful candidate will have a joint appointment between the Faculty of Mathematics and the IMC. We welcome applications from highly qualified candidates with a track record of excellent research and a solid commitment to excellence in teaching and supervision. This position is intended for those researchers interested in advancing the mathematical, statistical and computational aspects of modern artificial intelligence, machine learning and its applications. Candidates conducting research in areas including pure and computational mathematics, mathematical modeling, statistics, optimization, and theoretical computer science, that exhibit a convincing path towards AI research are also encouraged to apply.

The successful candidate will contribute to teaching courses at the Institute for Mathematical and Computational Engineering and the Faculty of Mathematics. The typical teaching load is three semester-long courses a year, at the graduate or undergraduate level, split between the two academic units. Command of Spanish is not required for applying; however, the selected candidate is expected to start teaching in Spanish in at most two years. Applicants who do not speak Spanish will receive support from the University to learn the language adequately. To support the initial academic career stages, the incorporation of Assistant Professors can benefit from an initial reduction of the teaching load and a starting fund. The applicant position and salary will be adjusted, according to the policies and regulations at UC, on the applicant starting date. These will be determined according to the previous experience of the candidate. UC is committed to the values of diversity regarding origin, gender, and ethnicity to build a more diverse and inclusive community. For the current call, women are especially encouraged to apply.

APPLICATIONS

Applications are received through MATHJOBS platform at the link https://www.mathjobs.org/jobs/list/27675 or can be sent by email at vacancysearch.imc@uc.cl. The documentation submitted must include at least:

• Cover letter.
• Curriculum vitae.
• Publication list.
• Research statement.
• Teaching statement.
• Three (3) letters of recommendation, with ideally at least one of them referring to the teaching experience.

The deadline for the applications is December 16th, 2025. Queries can be made by email to Prof. Cristóbal Rojas at vacancysearch.imc@uc.cl.

VISA

If selected for a position, a foreigner without permanent residency in Chile or applying from abroad will need to request a visa in the consulate of their country of origin to be incorporated as academic staff at UC Chile.

Further information about IMC and the Faculty of Mathematics can be found at https://imc.uc.cl and www.mat.uc.cl.

New York / Chicago / Austin

You will develop, refine and implement algorithmic trading strategies that shape the future of electronic trading. Working alongside a research team of mathematicians, scientists and technologists, you will leverage vast data sets to construct complex models to predict market movements. With your expertise in statistics and exceptional analytical and research skills, you will develop innovative solutions that are foundational to Optiver’s trading strategies.

You will participate in Optiver’s Global Academy and be equipped with the knowledge needed to make an impact the moment you join your team. The comprehensive training covers trading theory and Optiver’s tech stack to hone your skills for your role. You will also be paired with a dedicated mentor who will empower you to take ownership of your work and make a difference.

As a Quantitative Researcher, you will have the opportunity to contribute to several key areas: • 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.

You’ll join a culture of collaboration and excellence, where you’ll be 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, working collectively to tackle the toughest problems in the financial markets. In addition, you’ll receive: • A performance-based bonus structure unmatched anywhere in the industry. We combine our profits across desks, teams and offices into a global profit pool. • The opportunity to work alongside best-in-class professionals from over 40 different countries. • Ownership over initiatives that directly solve business problems. • 401(k) match up to 50% and fully paid health insurance. • 25 paid vacation days alongside market holidays. • Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more.

Who you are: • PhD in Mathematics, Statistics, Computer Science, Physics, or a related STEM field, with outstanding academic achievements • Expected to graduate by mid-2026 and available to start full-time employment upon graduation • 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

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.

Job Description At Emmi AI, we are redefining how industries innovate. Traditional simulations are slow, expensive, and computationally heavy. We make them fast, scalable, and intelligent! Our AI-powered physics architecture and models unlock real-time interaction, slashing simulation times from days to seconds.

The Opportunity Work directly with our founding team as the strategic right hand to our CEO, COO, and Chief Scientist. You'll help navigate Emmi AI's growth trajectory in the specialized AI-physics simulation landscape through a blend of strategic insight and hands-on execution.

Your Mission - Strategic Intelligence & Decision-Making – Conduct market analysis of the specialized physics AI landscape, translating technical developments into strategic positioning - Lead Cross-Functional Projects – Orchestrate a wide range of high-impact special projects - VC & Investor Relations – Lead preparation for funding rounds, create compelling investor materials, and manage relationships with our European and international investors - High-Stakes Execution – Drive critical initiatives from conception to completion, adapting quickly as our strategic landscape evolves

Job Requirements - Venture Experience – 5+ years in VC, deep tech startups, consulting, or similar analytical roles - Strategic Thinking – Proven ability to analyze complex markets and translate insights into actionable recommendations - Project Management – Project management expertise across multiple workstreams - International Perspective – Experience working across European markets and innovation ecosystems - Exceptional Communication – Ability to translate complex technical concepts for diverse stakeholders

What Sets You Apart - Analytical Depth – You excel at quantitative and qualitative analysis, uncovering insights others miss - Technical Curiosity – While not necessarily a developer, you understand technology well enough to engage meaningfully with our research team - Growth Mindset – You thrive in ambiguity and see challenges as opportunities to push boundaries - Continental Vision – You understand Europe's unique deep tech ecosystem and can help position Emmi for success across multiple markets - Execution Excellence – You deliver consistently high-quality work and can adapt quickly as priorities evolve

UK

Research Engineer - Novel AI applications and Next Generation Hardware

Mission: You will join the hardware team with the goal of supporting novel application areas and AI modes beyond current use cases. Responsibilities include researching the evolving landscape of AI applications and models, analyzing underlying model architectures, and building implementations on Groq. Further responsibilities include analyzing mappings to existing and future hardware, modeling performance, and working cross-functionally with the hardware design team on novel hardware features e.g. functional units, numeric modes, interconnect, system integration, etc to unlock novel application areas for Groq. There will be opportunities to participate in a wider range of R&D activities, either internally or externally with key Groq partners.

Responsibilities & opportunities in this role: AI application and model research Performance modeling Cross-functional work with hardware and software teams Next generation hardware architecture development Support internal and outward-facing R&D

Ideal candidates have/are: Strong foundation in computer science Experience with AI models and applications Knowledge of LLMs and other Gen AI applications Strong foundation in computer architecture and computer arithmetic Python and common ML frameworks such as PyTorch & TensorFlow Experience with performance analysis / modelling Problem solving mindset

Nice to Have: Experience with scientific computing & HPC Experience in optimizing applications on specialized accelerators (GPU, FPGA, or other custom accelerators). Experience with compiler tools and MLIR. Experience in delivering complex projects in a fast-moving environment.

Attributes of a Groqster: Humility - Egos are checked at the door Collaborative & Team Savvy - We make up the smartest person in the room, together Growth & Giver Mindset - Learn it all versus know it all, we share knowledge generously Curious & Innovative - Take a creative approach to projects, problems, and design Passion, Grit, & Boldness - no limit thinking, fueling informed risk taking

Compensation: At Groq, a competitive base salary is part of our comprehensive compensation package, which includes equity and benefits. For this role, salary range is determined by your location, skills, qualifications, experience and internal benchmarks. Compensation for candidates outside the USA will be dependent on the local market.

This position may require access to technology and/or information subject to U.S. export control laws and regulations, as well as applicable local laws and regulations, including the Export Administration Regulations (EAR). To comply with these requirements, candidates for this role must meet all relevant export control eligibility criteria.