NeurIPS 2025 Career Opportunities

Location Beijing CHINA

Description

1. Role and Value： BAAI is seeking Principal Investigators to act as our scientific leaders and team builders. We will grant you significant resources and trust, empowering you to build high-performing R&D teams from the ground up and lead the charge in solving research and engineering challenges of world-class significance.

2. Qualifications：

3. A proven track record of successfully establishing, leading, and motivating high-caliber R&D teams, demonstrating exceptional leadership.
4. Outstanding talent-spotting abilities, with expertise in attracting, nurturing, and mentoring young talent to form globally competitive research groups.
5. Extensive experience in managing and delivering major national or enterprise-level R&D projects with a record of outstanding outcomes.

6. A strong publication record in premier academic conferences/journals and/or a portfolio of high-value patents.

7. We Offer：

8. Industry-leading compensation with substantial performance-based bonuses linked to project milestones.
9. Substantial autonomous project funding and access to state-of-the-art computing resources.
10. Priority access to subsidized talent apartments and comprehensive support for Beijing residency registration.
11. An open research environment and extensive industry collaboration network to help translate innovative ideas into real-world impact.

12. Comprehensive commercial health insurance for you and your family.

13. How to Apply： Please send your CV, a summary of key project experiences, and a list of representative achievements (papers/patents) to: [recruiting@baai.ac.cn] Use the email subject line: "Principal Investigator Application - [Name] - [Research Focus]"

About Handshake AI 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 As a Staff Research Scientist, you will drive frontier research on how we define intelligence of frontier models, i.e. develop benchmarks and measurements that help the research community to understand how large language models (LLMs) understand, reason, and interact with human knowledge. You will: Lead teams of researchers to produce original research in LLM evaluation methodologies, interpretability, and human-AI knowledge alignment. Develop novel frameworks and assessment techniques that reveal deep insights into model capabilities, limitations, and emergent behaviors. Collaborate with engineers to translate research breakthroughs into scalable benchmarks, evaluation systems, and standards. Pioneer new approaches to measuring reasoning, alignment, and trustworthiness in frontier AI systems. Author high-quality code to enable large-scale experimentation, reproducible evaluation, and knowledge assessment workflows. Publish in top-tier conferences and journals, establishing new directions in the science of AI evaluation. Work cross-functionally with leadership, engineers, and external partners to set industry standards for responsible AI evaluation and alignment.

Desired Capabilities PhD or equivalent research experience in machine learning, computer science, cognitive science, or related fields with focus on AI evaluation, interpretability, or model understanding. 6+ years of academic or industry experience post-doc in a research-first environment Strong background in LLM research, evaluation methodologies, and/or foundational AI assessment techniques. Proven ability to independently design, lead, and execute evaluation research programs with novel data types end-to-end. Deep proficiency in Python and PyTorch for large-scale model analysis, benchmarking, and evaluation. Experience building or leading novel benchmark development, systematic model assessment, or interpretability studies. Strong publication record in post-training, evaluation, or interpretability that demonstrates field-defining contributions. Ability to clearly communicate complex insights and influence both technical and non-technical stakeholders.

Extra Credit Experience with RLHF, agent modeling, or AI alignment research. Familiarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systems. Understanding of challenges in scaling foundation models (training stability, safety, inference efficiency). Contributions to open-source libraries or research tooling. Interest in the societal impact, deployment ethics, and governance of frontier AI systems.

You are investigating the smartest way to interact with a browser page with an AI agent. You hammered a DOM based approach and sometimes dreamt of going visual. You tried out a pure visual approach and missed the good old DOM ways. You are now at the forefront. You know system thinking and how that reflects to a complex environment like in a browser agent platform. If that's you, please get in touch, we have a great opportunity waiting for you in San Francisco!

San Jose, CA, USA

We are seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications.

What you'll Do - Prompt Strategy & Design: Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management). Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention. Maintain libraries for reuse and version control.

• Function Calling & Tool Use: Implement LLM function calling to trigger APIs, databases, or internal tools. Build tool-use pipelines within agent workflows for complex task automation.

• Conversation Flow & Persona Design: Define and build agent personas, roles, and behaviors for domain-specific applications. Manage multi-turn conversations, memory handling, and contextual continuity.

• Enterprise-grade Optimization: Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance. Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks.

• Testing & Evaluation: Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance. Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks.

• Deployment & Integration: Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines. Maintain documentation and workflows for deployment in production environments.

What you need to succeed - 3+ years of experience in NLP, AI/ML product development, or application scripting - Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere) - Experience crafting prompts and evaluation methods for enterprise tasks - Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen - Strong Python and API integration skills - Excellent written communication and structured thinking

Preferred Qualifications - Experience with LLM function calling, custom tool integration, and agent workflows - Background in UX writing, human-computer interaction, or instructional design - Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems - Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field

San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US; New York, NY, 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 Monetization ML Engineering organization, we try to connect the dots between the aspirations of Pinners and the products offered by our partners. As a Distinguished Machine Learning Engineer, you will be responsible for developing and executing a vision for the evolution of the machine learning technology stack for Monetization. You will work on tackling new challenges in machine learning and deep learning to advance the statistical models that power ads performance and ads delivery that bring together Pinners and partners in this unique marketplace.

What you'll do:

• Lead user-facing projects that involve end-to-end engineering development in both frontend and backend and ML.
• Improve relevance and increase long term value for Pinners, Partners, Creators, and Pinterest through efficient Ads Delivery.
• Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost.
• Collaborate with product managers and designers to develop engineering solutions for user-facing product improvements.
• Collaborate with other engineering teams (infra, user modeling, content understanding) to leverage their platforms and signals.
• Champion engineering excellence and a data driven culture, mentor senior tech talent and represent Pinterest externally in the tech and AI communities.

What we’re looking for:

• Degree in computer science, machine learning, statistics, or a related field.
• 15+ years of working experience in engineering teams that build large-scale, ML‑driven, user‑facing products.
• Experience leading cross‑team engineering efforts that improve user experience in products.
• Understanding of an object‑oriented programming language such as Go, Java, C++, or Python.
• Experience with large‑scale data processing (e.g., Hive, Scalding, Spark, Hadoop, MapReduce).
• Strong software engineering and mathematical skills, with knowledge of statistical methods.
• Experience working across frontend, backend, and ML systems for large‑scale user‑facing products, with a good understanding of how they all work together.
• Hands‑on experience with large‑scale online e‑commerce systems.
• Background in computational advertising is preferred.
• Excellent cross‑functional collaboration and stakeholder communication skills, with strong execution in project management.

Successful hires will support our machine learning team by processing and organizing scientific datasets relevant to drug discovery and development. Candidates should have an undergraduate degree in a STEM field, hands-on experience in a Linux environment, and familiarity with Python and SQL. Experience handling large-scale datasets, structuring data from diverse sources, and cataloging metadata to facilitate data discovery and maintain accurate data provenance is highly desirable. This is a two-year position with full benefits. For more information, visit www.DEShawResearch.com.

Please apply using the link below:

https://apply.deshawresearch.com/careers/Register?pipelineId=909&source=NeurIPS_1

The expected annual base salary for this role is USD 160,000 - USD 200,000. Our compensation package includes variable compensation in the form of sign-on and year-end bonuses, as well as generous benefits, including relocation and immigration assistance. The final salary will be determined based on multiple factors, including prior experience and educational background. We follow a hybrid work schedule, with employees working in-office from Tuesday through Thursday and having the option to work remotely on Monday and Friday.

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

Global: United States, Europe and Asia

At Citadel, our mission is to be the most successful investment team in the world. Quantitative Researchers play a key role in this mission by developing next-generation models and trading approaches for a range of investment strategies. You’ll get to challenge the impossible in quantitative research by applying sophisticated and complex statistical techniques to financial markets, some of the most complex data sets in the world. As an intern, you’ll get to challenge the impossible in research through an 11 week program that will allow you to collaborate and connect with senior team members. In addition, you’ll get the opportunity to network and socialize with peers throughout the internship. Our signature internship program takes place June through August. Occasionally, we can be flexible to other times of the year. You will be able to indicate your timing preference in the application.

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

We are Bagel Labs - a distributed machine learning research lab working toward open-source superintelligence.

Role Overview

We encourage curiosity-driven research and welcome bold, untested concepts.
You will push the boundaries of diffusion models and distributed learning systems, testing hypotheses at the intersection of generative AI and scalable infrastructure.
We love novel, provocative, and untested ideas that challenge conventional paradigms.

Key Responsibilities

• Prototype AI methodologies that can redefine distributed machine learning.
• Pioneer next-generation diffusion architectures including rectified flows, EDM variants, and latent consistency models that scale across distributed infrastructures.
• Develop novel sampling algorithms, guidance mechanisms, and conditioning strategies that unlock new capabilities in controllable generation.
• Partner with cryptographers and economists to embed secure, incentive-aligned protocols into model pipelines.
• Publish papers at top-tier ML venues, organize workshops, and align our roadmap with the latest academic advances.
• Share insights through internal notes, external blog posts, and conference-grade write-ups (for example, blog.bagel.com).
• Contribute to open-source code and stay active in the ML community.

Who You Might Be

You are extremely curious and motivated by discovery.
You actively consume the latest ML research - scanning arXiv, attending conferences, dissecting new open-source releases, and integrating breakthroughs into your own experimentation.
You thrive on first-principles reasoning, see potential in unexplored ideas, and view learning as a perpetual process.

Desired Skills (Flexible)

1. Deep expertise in modern diffusion models, score matching, flow matching, consistency training, and distillation techniques.
2. Hands-on experience with distributed training frameworks such as FairScale, DeepSpeed, Megatron-LM, or custom tensor and pipeline parallelism implementations.
3. Strong mathematical foundation in SDEs, ODEs, optimal transport, and variational inference for designing novel generative objectives.
4. Clear and concise communication skills.
5. Bonus: experience with model quantization (QLoRA, GPTQ), knowledge distillation for diffusion models, or cryptographic techniques for secure distributed training.

What We Offer

• Top-of-market compensation and time to pursue open-ended research
• A deeply technical culture where bold ideas are debated, stress-tested, and built
• Remote flexibility within North American time zones
• Ownership of work shaping decentralized AI
• Paid travel to leading ML conferences worldwide

Apply now - help us build the infrastructure for open-source superintelligence.

Pittsburgh, PA

US Citizenship required (green card or visa does not suffice)

Work with the world leaders in computational game theory on software products for real problems of importance! Positions are available for working on the nation's best fighter pilot AI, on wargaming, on command and control, on missile defense, and on optimizing the world's nuclear stability. Work on the most important problems in the world! The work leverages the leading course-of-action generation and execution AI system, which we have developed.

Required qualifications:

• Degree as indicated in the position announcement roles

• Strong software development skills

• Excitement to change the world with AI products

• Desire to work with the world's leading experts in a fast-moving environment

• US citizenship (green card or visa does not suffice), and eligibility to obtain Top Secret clearance

Why apply?

• The company is the world leader in computational game theory AI

• Unique opportunity to apply game theory-based software products to the real world

• Ability to work directly with world-leading AI experts

• The company is already profitable

• CMU startup in close proximity to CMU

• Competitive compensation, including equity in a fast-moving, profitable startup

• The company has a no-jerks policy

** Our Founder, President, and CEO, Dr. Tuomas Sandholm, will be available to conduct interviews personally at NeurIPS between December 4th and 7th, 2025, and additional positions will be available thereafter as well. **