NeurIPS 2025 Career Opportunities

Location Beijing CHINA

Description

1. Program and Vision： BAAI launches its "Rising Star" Researcher Program, designed to recruit exceptional young scholars who have demonstrated outstanding research potential in AI and related fields. We provide a world-class research platform and robust development support, enabling you to launch your academic career from a high starting point, collaborate with leading scientists, and rapidly grow into a future leader in your field.

2. Qualifications：

3. A record of notable early-career research achievements in AI, Computer Science, Mathematics, or related interdisciplinary fields, demonstrating significant potential.
4. A soon-to-graduate outstanding Ph.D. candidate, a postdoctoral fellow, or an early-career scholar with a pure passion for scientific inquiry and innovation.

5. Strong independent research capabilities and a collaborative spirit.

6. We Offer：

7. A market-competitive salary and benefits package with a clear path for career advancement.
8. Ample start-up research funding and shared access to top-tier computing resources.
9. A clear career development path, with support to grow into an independent researcher.
10. Access to subsidized talent apartments and support for Beijing residency registration.

11. A comprehensive supplementary health insurance plan.

12. How to Apply： Please send your full CV, representative publications, and reference letters or contact information for references to: [recruiting@baai.ac.cn] Use the email subject line: "Researcher Application - [Name] - [Specific Research Focus]"

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.

At Pinterest Labs, you'll join a world-class team of research scientists and machine learning engineers to tackle cutting-edge challenges in machine learning and artificial intelligence. This role places you at the intersection of applied research and scalable infrastructure, focusing heavily on ML framework and efficiency.

You will conduct research that can be applied across Pinterest engineering teams, engaging in external collaborations and mentoring. Your research focus will specifically target ML efficiency and large-scale infrastructure challenges within high-impact areas such as: generative recommender systems, post-training, reinforcement learning, multi-modality representation learning, and graph neural networks.

What you’ll do:

• Design, develop, maintain, and enhance advanced machine learning solutions across various key business areas.
• Lead the technical strategy for optimizing and improving the efficiency of large-scale ML infrastructure.
• Lead high-impact machine learning projects, overseeing priorities, deadlines, and deliverables while providing technical guidance.
• Drive alignment and clarity on goals, outcomes, and timelines across teams.

What we’re looking for:

• MS/PhD in Computer Science or a related field degree.
• 10+ years of industry experience.
• Experience in distributed systems, ML frameworks (e.g. PyTorch), and scaling laws.
• Experience in research and in solving analytical problems.
• Cross-functional collaborator and strong communicator.
• Comfortable solving ambiguous problems and adapting to a dynamic environment.

London

Flow Traders is looking for a Senior Research Engineer to join our Hong Kong office. This is a unique opportunity to join a leading proprietary trading firm with an entrepreneurial and innovative culture at the heart of its business. We value quick-witted, creative minds and challenge them to make full use of their capacities.

As a Senior Research Engineer, you will be responsible for helping to lead the development of our trading model research framework and using it to conduct research to develop models for trading in production. You'll expand the framework to become global standard way of training, consuming, combining, and transforming any data source in a data-driven systematic way. You will then partner with Quantitative Researchers to build the trading models themselves.

What You Will Do

• Help to lead the development and global rollout of our research framework for defining and training models through various optimization procedures (supervised learning, backtesting etc.), as well as its integration with our platform for deploying and running those models in production
• Partner with Quantitative Researchers to conduct research: test hypotheses and tune/develop data-driven systematic trading strategies and alpha signals

What You Need to Succeed

• Advanced degree (Master's or PhD) in Machine Learning, Statistics, Physics, Computer Science or similar
• 8+ years of hands-on experience MLOps, Research Engineering, or ML Research
• A strong background in mathematics and statistics
• Strong proficiency in programming languages such as Python, with experience in libraries like numpy, pytorch, polars, pandas, and ray.
• Demonstrated experience in designing and implementing end-to-end machine learning pipelines, including data preprocessing, model training, deployment, and monitoring
• Understanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)
• Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)

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!

About the multiple postdoctoral fellowship positions: Join the Deep Learning for Precision Health Lab at the University of Texas Southwestern to build next-generation AI for medicine with direct access to large, deeply-phenotyped datasets and clinical partners across UT Southwestern Medical Center, Children’s Medical Center, and Parkland Hospital. Roles are ideal for researchers who have recently (or will soon) completed a PhD (typically ≤3 years from degree). Based in Dallas—one of the largest, most vibrant, and fastest-growing cities in the U.S. —fellows work closely with Prof. Albert Montillo, PhD (Associate Professor, tenured, Fellow of IEEE/ MICCAI / ISMRM / OHBM / SPIE/ ASNR) and collaborate with neurologists, radiologists, psychiatrists, and neuroscientists on clinically grounded problems—aimed at high-impact publications and deployable methods.

Project tracks (pick one or blend across): 1. Deep multimodal fusion models & GNNs: Integrate multi-contrast MRI & PET with electrophysiology, EHR/clinical data, and multi-omics via deep fusion and graph learning to predict disease trajectories and treatment response (Opportunities in Parkinson’s, AD, ASD, epilepsy, depression). 2. Image foundation models (FMs): Pretrain & fine-tune on very large medical image datasets (10k–100k+ subjects) for site-generalizable transfer to downstream tasks with per-subject explainability. 3. Bayesian Causal Discovery method development: Combine neuroimaging, interventional data, and priors to infer effective brain connectivity and mechanisms in developmental disorders (epilepsy, ASD).
4. Reinforcement learning to guide neuromodulation therapy: Fuse computational neuroscience models with data-driven FMs, optimizing neuromodulation under uncertainty. 5. Speech + Imaging for early dementia: Build multimodal FMs over voice (audio), language (linguistics/NLP), and neuroimaging for earliest, most accurate dementia diagnosis.

Required Qualifications:

1. We will only consider scholars having (or will have) PhD degrees in CS, ECE, Applied Math, Computational Physics, BME, Bioinformatics, Statistics, or related field with machine learning and signal/audio/text or omics analysis experience (e.g., MRI/CT/PET; MEG/EEG; speech/voice; NLP/clinical text; genomics/proteomics).
2. Proficient in DL programming in Python (PyTorch/TensorFlow) and strong mathematical training for fast DL prototyping.
3. Major contributions in peer-reviewed publications at top venues: NeurIPS/ICLR/ICML/AAAI, MICCAI, CVPR/ICCV, journals such as TPAMI, TMI, MedIA, Nature Communications, and related high-impact outlets.

Appointment and support:

Full-time position with competitive salary & benefits, based in Dallas, TX, USA. Initial appointment is 1 year, renewable; fellows should plan for minimum 2-yr commitment. US citizens strongly encouraged; visa sponsorship for exceptional international candidates. Start window: early 2026; later starts considered.

For consideration:

Reach out for an in-person meeting in San Diego at NeurIPS 2025 (or virtually afterwards) via email to Albert.Montillo@UTSouthwestern.edu with the subject “Postdoc-Applicant-MM/FM-NeurIPS” and include: (1) CV, (2) contact info for 3 references, (3) up to 3 representative publications, and (4) your preferred track(s) + start window. Positions open until filled; review begins immediately.

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

Location USA, WA, Seattle

Description As part of the AWS Applied AI Solutions organization, we're advancing the frontier of visual reasoning and agentic AI technologies. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries.

As a Principal Research Scientist, you'll drive research in visual reasoning and generative AI, defining novel research directions while ensuring impact through practical applications. Your day-to-day work will involve developing theoretical frameworks, conducting deep technical investigations, and validating complex hypotheses through rigorous experimentation. You'll mentor junior scientists in research methodology and experimental design while collaborating with cross-functional teams to translate research insights into scalable solutions.

Your expertise and guidance will be instrumental in shaping both the technical direction of our visual AI initiatives and the development of junior research talent on the team.

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 will develop the post-training pipeline for our text-to-image foundation models end to end, from data strategy to deployment, advancing techniques such as RLHF, RLAIF, and work on personalization/customization. You will contribute to post-training research that drives measurable gains, and implement and maintain high-throughput fine-tune/eval pipelines. You'll work with a creative and ambitious team of engineers and researchers who are building the future of the creative economy.

What We're Looking For

• 5+ years of experience in developing machine learning models in JAX, PyTorch, or TensorFlow.

• Experience in implementing Machine Learning foundations (e.g., Transformer, VAE, Denoising Diffusion models) from scratch.

• Track record in machine learning innovation and familiarity with Deep Learning and advanced Machine Learning.

• End-to-end understanding of generative media applications and excitement for pushing the state-of-the-art in generative AI.

• Ability to debug machine learning models to iteratively improve model quality and performance.

• Nice to have: Familiarity with Kubernetes and docker.

• Optional: Experience in low-level machine learning optimization, e.g., writing CUDA kernel code.

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.

ABOUT THE ROLE

You’ll join our Applied Research Engineering group to help build poolside’s coding agents. Your work will center on building the core agent framework, the supporting tools, and the orchestration environment needed to run coding agents securely, reliably, and at scale.

We’re looking for strong software engineers with a passion for building reliable, high-performance systems. Experience (or strong interest) in AI coding agents is a significant plus.

In this role, you’ll collaborate closely with our product engineering and research teams to continuously build and improve our platform for coding agents.

YOUR MISSION

Help us design and deliver the most capable AI agents for software engineering tasks, pushing the boundaries of what AI agents can do.

RESPONSIBILITIES

• Design, build, and maintain the core framework for poolside’s coding agents
• Develop scalable, secure, and isolated environments to run agents in complex enterprise environments
• Collaborate with research and product teams to prototype, develop, and evaluate new agent capabilities
• Continuously improve the performance, reliability, and developer experience of our platform

SKILLS & EXPERIENCE

• Solid understanding of AI agents, or a strong interest in developing expertise in this area
• Strong programming skills in either Go, C, C++ or Python (we are open to polyglot engineers from other languages)
• Plus: Experience in large scale, distributed data systems
• Plus: Familiarity with container runtimes, microVMs, or sandboxing systems

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

USA or International

The Renaissance Philanthropy Engineering Hub provides on-demand development technical assistance in support of grant-funded educational technology projects. Our support allows mission-driven teams to overcome hurdles and achieve their technical and impact goals. As a Research Engineer, you will provide technical strategy and hands-on guidance to product and research teams by developing proof-of-concepts that explore new applications of generative AI and validate the viability of emerging approaches. Visit the URL above to learn more!