NeurIPS 2025 Career Opportunities
Here we highlight career opportunities submitted by our Exhibitors, and other top industry, academic, and non-profit leaders. We would like to thank each of our exhibitors for supporting NeurIPS 2025.
Search Opportunities
Overview
Join our core R&D team building end-to-end automated research systems.
- Zochi publishes the first fully AI-generated A* conference paper (ACL 2025).
https://www.intology.ai/blog/zochi-acl - Locus becomes the first AI system to outperform human experts at AI R&D (RE-Bench).
https://www.intology.ai/blog/previewing-locus
Key Responsibilities
- Design and implement novel architectures for automated research.
- Collaborate with a focused team tackling problems at the forefront of:
- long-horizon agentic capabilities
- post-training for open-ended goals
- environment and benchmark development
- Publish internal key findings and external collaboration success stories.
Qualifications
- PhD or equivalent research experience in Computer Science, Machine Learning, AI, or a related field.
Exceptional candidates with strong research contributions are encouraged to apply regardless of degree. - Proven track record of high-impact AI/ML research contributions in academia or industry.
- Expertise in long-horizon or multi-agent systems, and/or model post-training for advanced capabilities.
Bonus: experience in scientific domains or open-ended discovery systems. - Passion for accelerating problem-solving and scientific discovery; comfortable in high-autonomy environments.
Our Culture
- Competitive salary & equity packages
- Unlimited PTO with a focus on on-site collaboration and team-building
- Conference attendance & community-facing event involvement
- High agency, ownership, and responsibility
- A small, dedicated group of top investors, researchers, and industry veterans committed to accelerating discovery. Join us.
Remote Internship Opportunities at UIUC ScaleML Lab
Location
University of Illinois Urbana-Champaign, Illinois, United States
Introduction
UIUC ScaleML Lab (https://scaleml.github.io/people) covers a wide range of research topics, including machine learning theory, optimization algorithms, reinforcement learning algorithms, generative models, and agents.
Research Topics
- Large language models and AI agents
- Diffusion language models
- Multimodal models
- Reinforcement learning
- Optimization algorithms
- Other topics in generative modeling
Requirements
- Understanding of fundamental concepts in deep learning, NLP, and large language models; familiarity with relevant frameworks and tools such as PyTorch, Hugging Face, LMFlow, LLaMA Factory, verl, etc.
- Strong engineering skills, a high sense of responsibility, and strong self-motivation
- Ability to commit to at least a 3-month internship
- Preferred qualifications include publications at top-tier conferences, industry internship/work experience, and high-impact open-source projects
Contact
If you are interested, please email your CV to ruip4@illinois.edu ;-)
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 Jose, CA, USA
Adobe is looking for a Senior Software Engineer to contribute to building the platform that powers Adobe Experience Platform’s Generative AI capabilities. Partnering with other business units, you will be building products that transform the way companies approach audience creation, journey optimization, and personalization at scale. You will join a diverse, lively group of engineers and scientists long established in the ML space. The work is dynamic, fast-paced, creative, collaborative and data-driven.
What you'll Do
- Architect solutions to implement functionality across multiple services and teams.
- Design and build solutions for comprehensive monitoring and alerting of anomalies.
- Design and build highly available services that scale horizontally
- Participating in all aspects of software development activities, including design, coding, code review, unit/integration/end-to-end testing, refactoring, bug fixing, and documentation
- Work in multi-functional teams to ensure timely delivery of high-quality product features
- Fast prototyping of ideas and concepts and researching the latest industry trends.
- Experiment with upcoming technologies in a fast-paced environment.
What you need to succeed
The ideal candidate will have the following background:
- Bachelor's degree or higher in Computer Science, or equivalent experience in the field.
- 10+ years of experience in web technologies
- Proven programming skills with extensive experience in languages such as Java and Python.
- A proven expertise building large scale distributed systems
- Experience in building, deploying, and managing infrastructures in public clouds (Azure / AWS)
- Ability to demonstrate a high level of ownership for the entire SDLC, including designing, building, testing, deploying, and supporting production microservices in a fast-paced environment.
- Strong problem-solving and analytical abilities.
- Be a self-starter requiring minimal direction with ability to learn quickly and adapt to changing priorities and requirements.
- Accept challenges outside one's comfort zone and deliver viable solutions within defined time boundaries.
- Ability to think through solutions from a short term and long-term lens in an iterative development cycle.
- A dedication to learning and sharing ideas with your fellow engineers
- Mastery of breaking down, discussing, and communicating abstract technical concepts
- Familiarity with agile development methodologies
- Real world experience working with Generative AI
- Worked on Machine Learning infrastructure and applications
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. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team’s mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.
What you'll do:
- Improve relevance and the user experience on Homefeed.
- Work on state-of-the-art large-scale applied machine learning projects.
- Improve the efficiency and reliability of large-scale data processing and ML inference pipeline.
- Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost.
What we're looking for:
- Languages: Python, Java.
- Machine Learning: PyTorch, TensorFlow.
- Big data processing: Spark, Hive, MapReduce.
- 7+ years’ experience with recommender systems or user modeling, implementing production ML systems at scale.
- 7+ years’ experience with large-scale distributed backend services.
- Experience working with deep learning and generative AI models.
- Experience closely collaborating with product managers/designers to ship ML-driven user-facing products.
- Bachelor’s in computer science or equivalent experience.
New York
Quantitative Researchers (QRs) specialize in a variety of areas, including but not limited to: using sophisticated data analysis skills to build predictive models, driving construction of a complex multi asset portfolio by utilizing large scale portfolio optimization techniques, and developing sophisticated optimization algorithms. Researchers with an exceptional record of achievement in their respective fields and a drive to apply quantitative techniques to investing are encouraged to apply to GQS.
Preference for on-site candidates in San Mateo, but remote possible.
BigHat is hiring a Principal ML Scientist. We've got an awesome high-throughput wetlab that pumps proprietary data into custom ETL and ML Ops infra to power our weekly design-build-train loop. Come solve hard-enough-to-be-fun problems in protein engineering in service of helping patients!
Pittsburgh
We are seeking a part-time Research Assistant in computer vision and machine learning for human behavior analysis and modeling. The successful candidate will investigate new algorithms and models for analyzing and understanding human behavior from video. Specific research topics for human behavior using one or multiple cameras will focus on the design of efficient perceptual algorithms for behavioral cue extraction and novel approaches for the modeling people interaction, with application to medical research and affective computing.
Requirements: - Master or bachelor degree in computer science, applied mathematics, electrical and/or computer engineering with a focus on computer vision/machine learning. - Strong programming skills, Python, Pytorch, Large Vision Models, Multimodal Foundation Models, Transfer Learning. - Three years’ experience in a research environment with at least one year in the designated specialty of research. - Strong interpersonal, verbal, and written communication skills. - Strong organization and planning skills, careful attention to detail with strong follow-through, able to prioritize and organize tasks effectively to accomplish objectives in a timely matter. - Enthusiastic about collaborating with partners from multiple disciplines and institutions.
Remote - Americas
Machine Learning Engineer - HSTU
Join Shopify's innovative team as we work on the development and implementation of state of the art HSTU models (Hierarchical Sequential Transduction Unit) to recommend the best growth drivers and action for merchants and buyers. You'll play a pivotal role in solving high-impact data problems that directly improve merchant success and consumer experience. As a Machine Learning Engineering (MLE) lead or individual contributor, you'll be at the forefront of building AI solutions that anticipate both merchant needs and personalization for 100M+ shoppers.
Key Responsibilities:
- Develop and deploy Generative AI, natural language processing, and HSTU-based recommendation models at scale
- Design and implement scalable AI/ML system architectures supporting models
- Build sophisticated inference pipelines that process billions of events and deliver real-time recommendations
- Implement data pipelines for model training, fine-tuning, and evaluation across diverse data sources (merchant events, consumer interactions, payment sequences)
- Experiment with novel architectures
- Optimize for production through advanced techniques like negative sampling, ANN search, and distributed GPU training
- Collaborate cross-functionally with product teams, data scientists, and infrastructure engineers to deliver measurable business impact
- Communicate effectively with both technical and non-technical audiences, translating complex ML concepts into actionable insights
Qualifications:
- Mastery in recommendation systems, Gen AI or LLMs
- End-to-end experience in training, evaluating, testing, and deploying machine learning products at scale.
- Experience in building data pipelines and driving ETL design decisions using disparate data sources.
- Proficiency in Python, shell scripting, streaming and batch data pipelines, vector databases, DBT, BigQuery, BigTable, or equivalent, and orchestration tools.
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Experience with running machine learning in parallel environments (e.g., distributed clusters, GPU optimization).
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This role may require on-call work.*
At Shopify, we pride ourselves on moving quickly—not just in shipping, but in our hiring process as well. If you’re ready to apply, please be prepared to interview with us within the week. Our goal is to complete the entire interview loop within 30 days. You will be expected to complete a pair programming interview, using your own IDE. This role may require on-call work.
Ready to redefine e-commerce through AI innovation? Join the team that’s making commerce better for everyone.
Shanghai
Our Research Summer Internship program will give you real insights into how data and research is used to improve global financial markets. Expand your knowledge of the financial markets and solve challenging problems that could impact the way we trade. Plus, if you’ve excelled over the summer and shown us your potential, you could receive an offer to join us as a graduate quantitative researcher. With Optiver’s internship program, your work improving the market starts today.
Who we are: Optiver is a global market maker founded in Amsterdam, with offices in London, Chicago, Austin, New York, Sydney, Shanghai, Hong Kong, Singapore, Taipei and Mumbai. Established in 1986, today we are a leading liquidity provider, with close to 2,000 employees in offices around the world, united in our commitment to improve the market through competitive pricing, execution and risk management. By providing liquidity on multiple exchanges across the world in various financial instruments we participate in the safeguarding of healthy and efficient markets. We provide liquidity to financial markets using our own capital, at our own risk, trading a wide range of products: listed derivatives, cash equities, ETFs, bonds and foreign currencies.
What you’ll do: As a Quantitative Research Intern, you’ll work with our researchers and traders on real-life research projects, that directly impact the way we trade. Our quantitative researchers are responsible for the accuracy of our core pricing models. They work closely with our traders to analyse and improve all facets of our trading strategies. As part of the internship, you’ll get to: • Perform extensive analysis in order to implement new algorithms that support and improve our existing models. • Develop risk management and portfolio optimisation tools to improve our execution algorithm. • Work with petabytes of low latency, high-frequency market data sets. • Collaborate with our developers to test and drive changes to our trading system, that will improve our ability to make successful trades. • Keep up to date on the latest development of new models and technologies • No previous experience in trading or financial markets? You bring the passion and we’ll have the training to support you along the way
Who you are: • PhD student, who will graduate during 2028. • Major in a highly quantitative field. • Strong knowledge of probability and statistics, experience in machine learning and time-series analysis is a big plus. • Programming experience in any language (C, C++, Python, JAVA, etc.), ideally with a preference towards Python. • Ability to carry a project on your own in a structured way within a short timeframe. • Experience in working with large datasets. • Both a self-motivated contributor and a team player, with an entrepreneurial attitude and hunger for success. • Interest in the trading/quantitative finance industry.
What you’ll get: • The chance to work alongside diverse and intelligent peers in a rewarding environment. • Competitive remuneration, including an attractive bonus structure and additional leave entitlements. • Training, mentorship and personal development opportunities. • Daily breakfast, lunch and snacks. • Gym membership, sports and leisure activities, plus weekly in-house chair massages. • Regular social events, clubs and Friday afternoon drinks.
How to apply: If you’re interested in taking your career to the next level and work on one of the most exciting trading floors in China mainland, apply now via the form below. While we love how bilingual our teams are, be sure to submit the below application materials in English: • Resume • Academic transcripts, including Bachelors and Masters and PhD if any
For any other inquiries, please email chinacareers@optiver.com.au.