NeurIPS 2025 Career Opportunities

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

Location Hybrid (2-3 days a week) on-site in San Mateo, CA.

BigHat is opening an ML Fellowship. We've got an awesome high-throughput wetlab that pumps proprietary data into custom data 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!

Join IMC as a Quant Research Intern and work at the intersection of advanced machine learning techniques and high-impact, real-world trading strategies. This 3-month internship, based in Sydney, is designed to give you the opportunity to apply your research skills in a fast-paced, innovative environment, where your contributions will directly inform our approach to high and mid-frequency trading strategies for the equities and futures markets.

As part of our team, you will work on developing predictive models using large-scale data analysis, pushing the boundaries of our research methodology. You will collaborate with a team of experienced researchers, traders, and engineers, all while receiving mentorship from a senior member of the team. The internship will commence in June 2026 and provides the chance to transition into a permanent Quant Researcher position with IMC upon successful completion of your PhD.

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

Within the Ads Delivery team, we try to connect the dots between the aspirations of pinners and the products offered by our partners. In this role, you will be responsible for developing and executing a vision for the evolution of the Pinterest marketplace. You will design and implement systems that improve the ads delivery funnel, experiments that shape the utility function, auction mechanism design, ad allocation and for deriving new insights through analysis of the marketplace dynamics. In short, this is a unique position, where you’ll get the freedom to work to bring together pinners and partners in this unique marketplace.

What you’ll do:

• Build and improve backend systems and statistical models that underlay the marketplace to maximize value for Pinners, Partners and Pinterest.
• Define and implement experiments to understand long term Marketplace effects.
• Develop strategies to balance long and short term business objectives.
• Drive multi-functional collaboration with peers and partners across the company to improve knowledge of marketplace design and operations.

What we’re looking for:

• Degree in Computer Science, Machine Learning, Statistics or related field.
• 8+ years of industry experience.
• 2+ years of experience leading projects/teams.
• Strong software engineering and mathematical skills with knowledge of statistical methods.
• Hands-on experience with large-scale online e-commerce systems is a plus.
• Background in computational advertising is preferred, but not required.

ABOUT THE ROLE

You would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines for coding use cases, researching and implementing fine-tuning algorithms, training reward models, and more. You will have access to thousands of GPUs in this team.

YOUR MISSION

To turn pre-trained LLMs into well-aligned and highly capable AI systems.

RESPONSIBILITIES

• Research and experiment on ways to specialize foundational models to coding use cases
• Build and maintain data and training pipelines
• Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
• Design, analyze, and iterate on training/fine-tuning/data generation experiments
• Write high-quality, pragmatic code
• Work as part of a team: plan future steps, discuss, and communicate clearly with your peers

SKILLS & EXPERIENCE

• Experience with Large Language Models (LLM)
• Deep knowledge of Transformers
• Strong deep learning fundamentals
• Good taste in data
• Fine-tuning experience with LLMs
• Extensively used and probed LLMs, familiarity of their capabilities and limitations
• Knowledge of distributed training
• Strong machine learning and engineering background
• Research experience
• Experience in proposing and evaluating novel research ideas
• Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLHF, code generation
• Is comfortable in a rapidly iterating environment
• Is reasonably opinionated
• Programming experience: Linux, Strong algorithmic skills, Python with PyTorch or Jax. Use modern tools and are always looking to improve
• Strong critical thinking and ability to question code quality policies when applicable
• Prior experience in non-ML programming, especially not in Python - is a nice to have

PROCESS

• Intro call with one of our Founding Engineers
• Technical Interview(s) with one of our Founding Engineers
• Team fit call with the People team
• Final interview with one of our Founding Engineers

BENEFITS

• Fully remote work & flexible hours
• 37 days/year of vacation & holidays
• Health insurance allowance for you and dependents
• Company-provided equipment
• Wellbeing, always-be-learning and home office allowances
• Frequent team get togethers
• Great diverse & inclusive people-first culture

Location UC Berkeley, Berkeley, CA US

Description The Bakar Institute of Digital Materials for the Planet (BIDMaP) is an institute in UC Berkeley’s new College of Computing, Data Science, and Society (CDSS), bringing together AI, machine learning and data science with the natural sciences to address the planet’s most urgent challenges. BIDMaP is focused on developing new techniques in AI that will enhance and accelerate discovery in experimental natural sciences and development of novel materials to address planetary challenges. To this end, BIDMaP promotes collaboration between world-renowned AI/ML experts, chemists, physicists and other physical scientists. By combining cutting-edge chemistry with artificial intelligence, machine learning, and robotics, BIDMaP is reimagining how materials can be designed and optimized for clean energy, clean air, clean water, advanced batteries, and sustainable chemical production.

Location USA, WA, Seattle

Description The Amazon Connect Interactive AI and Engagement organization was formed in April 2025 to bring together Contact Lens, Q in Connect, and Flows/Lex into one organization, responsible for weaving native-AI across the Connect application experiences delivered to end-customers, agents, and managers/supervisors. We are reimagining customer engagement to enable companies to deliver proactive and personalized experiences (in websites, mobile apps, and traditional contact center channels including voice, messaging, and email) that discern and resolve end-customers' intent before problems ever arise. To succeed, we need a unified science strategy and approach to power 'AI-throughout' customer experiences that leverage humans in the loop when required to meet business goals. We seek to hire a Director of Applied Science who will define and execute that strategy, and organization required. This leader will push the technical boundaries in generative AI science, shaping the industry, while influencing and leading key product investments across Connect service teams and leadership.

The business opportunity is substantial. We are executing to be the leader irrespective of the ultimate balance between proactive end-customer self-service and agent-assisted workloads. To do so, science innovation will be pivotal to help achieve our ambitious goals, differentiating Amazon Connect from our competitors.

Postdoctoral Scholar: Computational Medicine Research Group, University of California, Irvine (NIH Funded)

The Computational Medicine Research Group directed by Prof. Pratik Shah at the University of California, Irvine, invites applications for an NIH-funded Postdoctoral Scholar position. We seek outstanding Ph.D. candidates in computer science, biomedical informatics, statistics, or related fields to develop novel deep learning and AI technologies for digital biopsies from medical images and clinical decision-making from non-imaging datasets. Research areas include:

• Generative AI for Medical Imaging & Digital Biopsies: Developing and interpreting DNNs for automated tissue analyses using high-parameter images (pathology, MRI, CT, RGB) and validating these models in collaboration with hospitals nationwide.

• Generative & Predictive AI for Clinical Decision Support: Developing biologically informed statistical methods and uncertainty estimation generative models for explainable clinical decision-making from EMRs and genetic data.

Responsibilities include data preprocessing, training and real-world validation of generative deep learning models (GANs, Diffusion models, Transformers), developing novel statistical models, and publishing research in leading journals and conferences. Comprehensive training in publication, fellowship and grant writing, and career development for roles in academia, industry, or government will be provided.More information about the lab can be found at https://faculty.sites.uci.edu/pratikshahlab/

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.

Handshake is building the career network for the AI economy. Our three-sided marketplace connects 18 million students and alumni, 1,500+ academic institutions across the U.S. and Europe, and 1 million employers to power how the next generation explores careers, builds skills, and gets hired.

Handshake AI is a human data labeling business that leverages the scale of the largest early career network. We work directly with the world’s leading AI research labs to build a new generation of human data products. From PhDs in physics to undergrads fluent in LLMs, Handshake AI is the trusted partner for domain-specific data and evaluation at scale. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.

Now’s a great time to join Handshake. Here’s why: Leading the AI Career Revolution: Be part of the team redefining work in the AI economy for millions worldwide. Proven Market Demand: Deep employer partnerships across Fortune 500s and the world’s leading AI research labs. World-Class Team: Leadership from Scale AI, Meta, xAI, Notion, Coinbase, and Palantir, just to name a few. Capitalized & Scaling: $3.5B valuation from top investors including Kleiner Perkins, True Ventures, Notable Capital, and more.

About the Role We’re expanding our team and seeking an Engineering Manager to lead the development of high-impact products that empower our Fellows in driving AI innovation. This is a unique opportunity to play a pivotal role in a fast-growing space, working directly with leading AI labs and tech companies to develop solutions that enhance research workflows, model evaluation processes, and domain-specific AI applications. We’re expanding our team and seeking an experienced Engineering Manager to lead our Annotations Team, responsible for building and maintaining the tools that power our data creation pipeline. This team develops products used by operators and fellows to create data used by researchers to train the latest, state of the art language models. As an Engineering Manager, you'll play a key role in shaping technical direction, fostering engineering excellence, and ensuring your team delivers reliable, scalable, and user-centric solutions. You’ll manage a talented group of engineers focused on improving workflow efficiency, quality assurance, and scalability across annotation systems. This is a highly cross-functional role that sits at the intersection of engineering, operations, and product, ensuring our data creation platform is robust, intuitive, and ready to meet evolving research needs.

Location: San Francisco, CA| 5 days/week in-office Lead and grow a high-performing engineering team, fostering a culture of ownership, inclusion, and technical excellence. Partner with product and design teams to define roadmaps, scope projects, and deliver end-to-end solutions aligned with user needs. Drive technical architecture and decision-making, ensuring systems are scalable, maintainable, and performant. Mentor engineers across experience levels, supporting their growth through regular feedback, coaching, and development opportunities. Oversee day-to-day execution, ensuring high-quality code, effective reviews, and healthy team velocity.

Desired Capabilities 2–4+ years of experience in an engineering leadership role (team lead, tech lead, or manager), in addition to prior experience as a hands-on engineer. Strong technical background in full-stack development, particularly with ReactJS, TypeScript, and backend technologies like Node.js or Python. Experience leading teams building end-user products with a focus on quality, usability, and performance. Solid understanding of system architecture, relational databases (e.g., PostgreSQL), and cloud infrastructure (e.g., AWS, GCP). Proven track record of successfully shaping product direction and delivering results in a fast-paced environment. Excellent communication skills