NeurIPS 2026 Career Opportunities

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.

Full-time, in-office in Emeryville, California.

Turn raw assay video into precise, reviewable measurements of what mosquitoes do over time. The work begins with detection and tracking, but the scientific outcome is a trustworthy behavioral record that can train and evaluate models.

Key Responsibilities

• Develop and validate methods for detecting and tracking multiple mosquitoes in top-mounted behavioral-assay video
• Derive cumulative landing-zone occupancy, trajectories, spatial distribution, entry and exit rates, dwell time, and other interpretable behavioral features
• Build representative labeled datasets and error analyses across labs, cameras, lighting conditions, arenas, mosquito densities, and occlusion patterns
• Quantify confidence and route uncertain or anomalous results to efficient human review rather than silently producing a score
• Design visual overlays and quality-control tools that let scientists inspect how each measurement was produced
• Work with entomologists and lab teams to improve camera placement, assay geometry, capture standards, and the behavior labels that matter scientifically

Qualifications

• Strong experience with object detection, multi-object tracking, segmentation, pose or trajectory analysis, or related computer-vision methods
• Strong Python skills and experience with PyTorch, OpenCV, or equivalent tools
• Experience building evaluation sets and choosing metrics that reflect the downstream use of a vision system
• Ability to build efficient video-processing pipelines and debug failures at the frame and sequence level
• Clear communication with domain scientists and software engineers

Desired Attributes

• Experience with small-object tracking, animal behavior, microscopy, or other visually difficult scientific video
• Experience with domain adaptation, weak supervision, active learning, or human-in-the-loop annotation
• Familiarity with camera calibration, experimental instrumentation, or cross-site capture standardization
• Interest in making scientific measurements interpretable and auditable

Full description

Apply

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.

Full-time, in-office in Emeryville, California. Compensation includes equity.

Build the reliable systems that carry our data from an assay recording to a reproducible model, an evaluated prediction, and a usable recommendation for the next experiment.

Key Responsibilities

• Own pipelines for ingesting, validating, versioning, and joining assay videos, metadata, compound records, model features, and experimental outcomes
• Build reproducible training and evaluation infrastructure with clear data lineage, model versioning, automated tests, and auditable outputs
• Design interfaces between computer vision, molecular models, active-learning systems, and the lab workflow

Qualifications

• Strong production software engineering experience in Python and modern machine-learning or data systems
• Experience deploying and operating model-training, feature, evaluation, or inference pipelines in a cloud environment
• Fluency with testing, observability, data validation, version control, and reproducible computational workflows

Full description, additional qualifications, and Desired Attributes

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Locations: London, United Kingdom; New York, NY, United States; Singapore

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development summer internship program. Algorithm Developers at HRT focus on the research and implementation of automated trading strategies.

We trade on more than 200 markets around the world, across a variety of time horizons – offering ample opportunities to explore innovative, self-guided research and make a big impact on our business. Through this internship, you’ll have the opportunity to rotate across teams, learning and collaborating alongside researchers and technologists that apply their passion and expertise to solving the most nuanced problems in our industry.

What to Expect

Use advanced research experience and expertise to apply academic research to impactful real-world problems in trading across time horizons and machine learning strategies Leverage our proprietary infrastructure (Python/C++) in conjunction with third-party tools to conduct quantitative research and data analysis Use machine learning and time series techniques to derive novel insights on market behavior from large and complex datasets Utilize our industry-leading compute cluster to run simulations and crunch data Build predictive models for financial markets using a combination of market and non-market data Attend and participate in Tech Talks that provide an overview of markets and HRT’s trading philosophy Enjoy a curriculum of speakers, trading games, mentorships, and social events throughout the summer Qualifications

You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, operations research, machine learning etc.) Fluency in Python is a must Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB You’re excited to apply your research expertise to identify new opportunities in worldwide markets
Strong communication skills We offer a weekly base salary offer in addition to a competitive signing bonus, company-paid housing, meals, and other perks.

New York: Weekly base salary of 5,800 USD Singapore: Weekly base salary of 7,650 SGD London: Weekly base salary of 4,350 GBP

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses.

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research everywhere.

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment.

Our research spans:

Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science Imaging foundation models trained across the world's largest microscopy datasets Reasoning and agentic systems that connect frontier LLMs with biological foundation models Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled Join Our Team! As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

What You'll Do

Build on and advance the AI systems at the frontier of biology to accelerate science Design novel model architectures and scale pre-training pipelines for our biology foundation models. Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks. Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact. Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

What You'll Bring

Significant experience building and scaling deep learning systems, ideally in research-driven environments Strong engineering and scientific fundamentals Comfort with ambiguity, rapid iteration, and loosely-defined research problems Strong communication skills across technical and scientific audiences

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time!

We have roles across 4 locations:

Beijing, China

London, UK

San Francisco, US

Sydney, AU

Vienna, Austria

About the team

Canva Research's mission is to advance AI technology for Canva's Creative Operating System, making design accessible to everyone. Our team, established in June 2025, has rapidly grown across cities such as Sydney, London, Vienna, San Francisco, and Beijing. We focus on generative image, video, audio, agents, evaluations, on-device, and foundation models, transforming research breakthroughs into features that enhance Canva's platform.

About the role

As a Senior Research Engineer, you will be integral in transforming Canva Research's innovations into scalable products. Your role involves taking research prototypes in areas like generative models and agents, and developing them into technology that millions use for creative storytelling. We welcome candidates from various backgrounds, including generative model engineering, agent systems, evaluation infrastructure, or systems optimization. The key requirement is strong production ML engineering skills and the ability to judge when a product is ready to ship.

What you'll do

• Design systems to convert generative research into features, such as model serving and on-device deployment
• Evaluate systems for model selection and measure effectiveness
• Manage infrastructure for large-scale training, evaluation, and deployment
• Develop evaluations capturing real quality and user intent
• Collaborate with product teams to integrate research prototypes into Canva features
• Enhance and scale models for efficiency across distributed systems
• Work with cross-functional teams to create impactful solutions

You're likely a match if you have

• 5+ years of ML research or engineering experience with a proven track record in production
• Strong software engineering skills in Python for building scalable ML systems
• Hands-on experience in generative model training, agent architectures, or systems optimization
• Familiarity with large-scale distributed training and serving infrastructure
• Strong experimental skills and ability to translate research into scalable systems
• Excellent communication skills and ability to work collaboratively with research scientists
• Curiosity and awareness of industry trends and emerging technologies

Nice to have

• Knowledge of multimodal data or models
• Experience in designing evaluations for ML products
• Open-source contributions or publications in ML systems or multimodal research
• Experience with creative tools or design tooling

Locations: London, United Kingdom; New York, NY, United States

Hudson River Trading (HRT) is seeking an AI Research Engineer (Pre-training) to join the HAIL team. HAIL (HRT AI Labs) is the team at HRT responsible for developing and maintaining our most powerful models, which are used by our trading teams to drive a significant fraction of our trading. We are building and deploying "foundation models for markets", that ingest and train on vast amounts of market and “alternative” data (such as language) to make predictions about future market state.

As a pre-training research engineer on HAIL, you will have a general mandate to improve all aspects of large-scale model training, including but not limited to kernel development, training data loading, parallelism, networking, and fault-tolerance. You will work closely with our researchers to co-design and improve our models, and shape the research agenda.

We have multiple large, modern, and rapidly growing GPU clusters, and we maintain a very high GPU-to-researcher ratio. We are simultaneously pursuing multiple strategies and developing many model types with different purposes, and we are strongly incentivized to squeeze as much as we can out of our systems. Your work will be directly, clearly, and highly impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions.

Qualifications

Strong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience Must have two or more years work experience building deep learning systems, for any domain: robotics, biology, chemistry, physics, audio, video, recommendations, etc. Experience translating methods between areas of application is highly valued LLM experience is valuable, but not necessary Finance experience is not required The estimated base salary range for this position is 250,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

The Michael Smith Laboratories (MSL) and the Department of Biochemistry & Molecular Biology (BMB) at the University of British Columbia (UBC) invite applications for a Canada Impact+ Emerging Leader in AI-based Protein Modeling and Design. This is a tenure-track appointment at the rank of Assistant Professor, jointly appointed in MSL and BMB, with an anticipated start date no later than July 1, 2027.

AI-driven protein design is one of the most rapidly advancing frontiers in science, with transformative potential in medicine, biotechnology, and the life sciences. We seek outstanding candidates with an innovative and impactful research program integrating deep learning and AI-driven approaches across the protein design pipeline. Research programs may leverage structure-based models, protein language models, generative AI, or novel hybrid approaches. Areas of interest include, but are not limited to, developing predictive and generative models for protein structure and function, advancing AI-enabled design-build-test-learn workflows, and creating new tools for the characterization and validation of engineered proteins. Example application areas include the design of protein binders with tailored binding specificity and affinity, protein conformational switches that sense and respond to their environment, de novo enzymes for applications in medicine and sustainability, and proteins that interact selectively with non-protein molecules (e.g. nucleic acids, carbohydrates, small molecules).

About the Canada Impact+ Emerging Leaders Program The Canada Impact+ Emerging Leaders program is a one-time initiative designed to support institutions in attracting internationally based Early Career Researchers to Canada. Emerging Leaders will receive research funding and institutional supports to advance transformative research in Canada's strategic priority areas, build partnerships across sectors and borders, and translate their research into applications and impacts that benefit Canadians and the world. Canada Impact+ Emerging Leaders are six-year positions, renewable once for an additional six years, intended for exceptional emerging scholars who have the potential to lead in their fields. Applicants must be an early career researcher and be eligible to hold a full-time, tenure-stream appointment at the rank of Assistant Professor at UBC.

Under the Canada Impact+ Emerging Leaders program, nominees must be working and residing outside Canada when the Eddie Goldenberg Research Chairs of Canada award (https://www.canada.ca/en/impact-plus-chairs.html is formally accepted. For this specific award, the acceptance date was July 1, 2026. Applicants may apply regardless of their current location; however, candidates selected for nomination must meet this eligibility requirement on the award acceptance date in order to proceed. Expatriate Canadians wishing to relocate to Canada are welcome to apply.

For more details and how to apply, please refer to UBC Faculty Careers website: https://ubc.wd10.myworkdayjobs.com/en-US/ubcfacultyjobs/job/UBC-Vancouver-Campus---Vancouver-BC-Canada/Canada-Impact--Emerging-Leader-in-AI-based-Protein-Modeling-and-Design_JR26070

Flow Traders is looking for a Junior Quantitative Researcher to join the quantitative trading team in our Amsterdam office. This is a unique opportunity to join a leading proprietary trading firm, working alongside some of the brightest minds in the industry. As a firm, we are committed to leveraging advances in computer science, statistics, and machine learning to generate value in the financial markets.

A successful Quantitative Researcher is an expert in mathematics and statistics, passionate about translating challenging quantitative problems into equations and models, and skilled at optimizing them using cutting-edge computational techniques. If you're at the top of your quantitative, modeling, and coding game, and excited to test these skills in competitive live markets, this opportunity is for you.

What you will do

• Design, build, optimize, and deploy state-of-the-art models and algorithms for systematic trading.
• Analyze large datasets to identify patterns and signals that can be translated into trading strategies.
• Collaborate with traders and technologists to bring models from research into live production.
• Monitor and refine existing models based on live market performance.

What you need to succeed

• A PhD degree in Mathematics, Physics, Computer Science or a related quantitative field.
• Strong statistical and linear algebra knowledge.
• Proficiency in implementing models and algorithms in programming languages such as Python or C++.
• Experience in Deep Learning is a plus.
• Strong analytical and problem-solving skills, with the ability to work independently on open-ended, ambiguous problems.
• Ownership and entrepreneurship.

We offer opportunities to do your life’s work while helping solve one of the most important technical and moral challenges of our time.

Full-time, in-office in Emeryville, California. Compensation includes equity.

Develop the learning methods that turn repeated assays into better scientific decisions. The central question is prospective: can a model use prior compound, assay, and behavior data to recommend an experiment that is more informative than the one scientists would otherwise run?

Key Responsibilities

• Research models that combine molecular information, formulation and dose, assay metadata, video-derived behavior, and laboratory context
• Develop active-learning and sequential experiment-selection methods that balance predicted efficacy, uncertainty, novelty, and information value
• Define retrospective and prospective evaluations, including holdouts by chemical scaffold, laboratory, colony, and time

Qualifications

• Ph.D. or equivalent research record in machine learning, statistics, computational science, or a closely related field
• Strong software skills in Python and a modern machine-learning framework
• Experience working with noisy, limited, multimodal, or experimentally generated datasets

Full description, additional qualifications, and Desired Attributes

Apply

Locations: London, United Kingdom; New York, NY, United States; Singapore

Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.

In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.

Ideal candidates are excited to apply their research expertise to identify new opportunities in worldwide markets, enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently, and are critical thinkers who can learn and implement new skills in a fast-changing environment.

Qualifications

You are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027 Fluency in Python Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLAB Brilliant analytical and problem-solving skills Ability to work creatively and independently on long-term technical problems Base salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.

Culture

Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.

At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.

Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.

Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.