NeurIPS 2025 Career Opportunities

Location Beijing CHINA

Description

1. Mission and Positioning： The Beijing Academy of Artificial Intelligence (BAAI) invites strategic scientists from the global AI community to join us as a Chief Scientist. In this role, you will chart the future course for the Academy's and the discipline's development, guiding our exploration of the AI frontier and establishing yourself as an academic leader shaping the global AI landscape.

2. Qualifications：

3. A distinguished research background at world-leading universities, national-level research institutions, or corporate R&D labs of global renown.
4. A proven record of publishing a series of highly influential research findings in top-tier AI journals and conferences, with the ability to define the frontiers of the discipline.

5. Visionary strategic insight and exceptional academic leadership, with a demonstrated capacity to identify and tackle the field's most fundamental challenges.

6. We Offer：

7. A globally competitive compensation package and comprehensive benefits (customized arrangements are available).
8. Full academic autonomy supported by substantial, long-term research funding and access to world-class computing infrastructure.
9. Full support to assemble and lead an elite research team from around the world.
10. Expedited Beijing residency registration for eligible candidates and access to a premium medical "Green Channel" for senior talent.

11. Customized supplementary health insurance plans for experts and their immediate family members.

12. How to Apply： Please send your detailed CV, representative publications, and a brief research vision statement to: [recruiting@baai.ac.cn] Use the email subject line: "Chief Scientist Application - [Name] - [Primary Research Field]"

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]"

D. E. Shaw Research welcomes applications for our summer 2026 internship program from undergraduate and graduate students who are pursuing degrees in scientific and technical disciplines, including machine learning and other areas of computer science, electrical and computer engineering, applied mathematics, physics, chemistry, and chemical or biomolecular engineering. Programming experience in Python or C/C++ is required, and experience with Linux systems, high-performance computing, PyTorch, and/or CUDA would be a plus.

Interns spend 12 to 15 weeks (with flexible start and end dates) working closely with members of our computer science and machine learning team. They are fully immersed in a challenging project involving, for example, applying ML (including large language models) to drug discovery, building and deploying AI-powered systems, developing scientific software, or working on various other engineering and research problems to advance our drug discovery goals. At the end of the summer, interns have the opportunity to give group-wide presentations of their work.

Throughout the summer, interns are invited to attend scientific and technical seminars and workshops, and to join in lively social programming in and around New York City.

For more information, visit www.DEShawResearch.com.

Please apply using the link below:

https://apply.deshawresearch.com/careers/Register?pipelineId=657&source=NeurIPS_1

The expected monthly salary for our internships is USD 11,700 - USD 20,600. The applicable monthly salary paid to a successful applicant will be determined based on multiple factors, including the nature and extent of prior experience and educational background. We also provide our interns with a generous housing allowance.

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

Various locations available

Adobe seeks a Machine Learning Engineer to enhance customer experiences through AI and generative technologies. This is an exciting internship opportunity inside Adobe Firefly’s applied research organization. You will be surrounded by amazing talents who build the Firefly family of models from research inception all the way to production. We offer internship roles situated at different stages of the development pipeline from fundamental research to advanced development to production engineering directly shaping the training and integration of Firefly production models. Your role will center on pioneering data, models, applications and scientific evaluation that shape the future of technology in the realms of images, videos, language and multimodal models. Join us in reshaping the future of technology and customer experiences at Adobe!

What You’ll Do

• Work towards results-oriented research goals, while identifying intermediate achievements.
• Contribute to research and advanced development that can be applied to Adobe product development.
• Help integrating novel research work into Adobe Firefly product.
• Lead and collaborate on projects across different teams.

What You Need to Succeed

• Currently enrolled full time and pursuing a Master's or PhD in Computer Science, Computer Engineering, Electrical Engineer or related fields.
• 1 + years of experience in computer vision, natural language processing or machine learning
• Some experience in Generative AI
• Experience communicating research to public audiences of peers.
• Experience working in teams.
• Knowledge in Python and typical machine learning development toolkits.
• Ability to participate in a full-time internship between May-September.

Redwood City, CA

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

The Team Biohub supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems
Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease The Opportunity At Biohub, we are generating unprecedented scientific datasets that drive biological modeling innovation:

Billions of standardized cells of single-cell transcriptomic data, with a focus on measuring genetic and environmental perturbations 10s of thousands of donor-matched DNA & RNA samples PB-scale static and dynamic imaging datasets TB-scale mass spectrometry datasets Diverse, large multi-modal biological datasets that enable biological bridges across measurement types and facilitate multi-modal model training to define how cells act. After model training, we make all data products available through public resources like CELLxGENE Discover and the CryoET Portal, used by tens of thousands of scientists monthly to advance understanding of genetic variants, disease risk, drug toxicities, and therapeutic discovery.

As a Senior Staff Data Scientist, you'll lead the creation of groundbreaking imaging datasets that decode cellular function at the molecular level, describe development, and predict responses to genetic or environmental changes. Working at the intersection of data science, biology, and AI, you'll define data needs, format standards, analysis approaches, quality metrics, and our technical strategy, creating systems to ingest, transform, and validate and deploy data products.

Success for this role means delivering high-quality, usable datasets that directly address modeling challenges and accelerate scientific progress. Join us in building the data foundation that will transform our understanding of human biology and move us along the path to curing, preventing, and managing all disease.

Position: Data Science Intern

Location: 660 5th Avenue, New York, NY

Viking Global Investors (“Viking”) is a global investment firm founded in 1999, managing over $53 billion in capital across public and private investments. With offices in Stamford, New York, Hong Kong, London, and San Francisco, Viking is registered with the U.S. Securities and Exchange Commission. For more information, visit www.vikingglobal.com.

Internship Opportunity

The Data Science Intern will collaborate with the Data Science team, Investment Analysts, and Data Engineers to analyze and expand Viking’s alternative data assets, generating actionable investment insights. This role is ideal for analytical, creative problem solvers eager to apply their data science skills to pressing research questions. Interns will work both independently and alongside quantitative professionals, with flexibility in duration, start dates, and full-time/part-time options.

Informational Webinar: October 30, 6:00–7:00pm ET
Register here

Responsibilities

• Develop and deliver predictive analytics on companies, sectors, and macroeconomic trends
• Generate investment insights from alternative data analysis
• Create methodologies to identify and evaluate private company investment opportunities
• Identify and assess new data sources
• Streamline data lifecycle, operating models, and processes
• Test and evaluate new technologies for the big data platform
• Build centralized, automated analyses and processes
• Share information and insights to support Viking’s research efforts

Qualifications

• Currently enrolled in a Master’s or PhD program (3rd year+) in Data Science, Economics, Finance, Statistics, or related quantitative fields
• Strong communication skills, with the ability to explain complex ideas to non-technical audiences
• Independent thinker, capable of leading research projects with partial supervision
• Proficient in Python, statistical libraries, SQL, BI tools (e.g., Tableau), and cloud technologies
• Sound judgment and big-picture perspective
• Passionate about research, proactive, and self-motivated
• Committed to excellence

Application

Submit your resume and a 1–2 page supplement describing a recent quantitative research project via the Viking career site.
Supplement must include:
- Research question
- Data used
- Approach and statistical methodologies
- Findings
- Computational environment (language, main libraries, etc.)

Application Deadline: November 11, 2025 (11:59 PM EST)
Interviews: Conducted virtually in December

Compensation & Benefits

• Base Salary Range (NYC): $175,000 – $250,000 annually
• Actual compensation determined by skill set, experience, education, and qualifications

Equal Opportunity Employer

Viking is an equal opportunity employer. For questions or accommodation requests, contact:
Viking Campus Recruiting Team
campusrecruiting@vikingglobal.com

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!

Biohub supports the science and technology that will make it possible to help scientists cure, prevent, or manage all diseases by the end of this century. While this may seem like an audacious goal, in the last 100 years, biomedical science has made tremendous strides in understanding biological systems, advancing human health, and treating disease.

Achieving our mission will only be possible if scientists are able to better understand human biology. To that end, we have identified four grand challenges that will unlock the mysteries of the cell and how cells interact within systems — paving the way for new discoveries that will change medicine in the decades that follow:

Building an AI-based virtual cell model to predict and understand cellular behavior Developing novel imaging technologies to map, measure and model complex biological systems
Creating new tools for sensing and directly measuring inflammation within tissues in real time.tissues to better understand inflammation, a key driver of many diseases Harnessing the immune system for early detection, prevention, and treatment of disease Our work in science is focused on doing fundamental research to better understand human biology and building the tools and technology that move science forward to prevent disease and get to cures faster. Join us in accelerating science.

The AI/ML team is funding and building one of the largest computing systems dedicated to nonprofit life sciences research in the world. This new effort will provide the scientific community with access to predictive models of healthy and diseased cells, which will lead to groundbreaking new discoveries that could help researchers cure, prevent, or manage all diseases by the end of this century.

As a Senior Research Scientist on the AI/ML team, you will apply and optimize state-of-the-art models in artificial intelligence and machine learning to solve important problems in the biomedical sciences aligned with our mission. You will work on a team responsible for developing and deploying ML models that use data developed by CZI and research partners all for the purpose of contributing to greater understanding of human cell function.

What You'll Do - Develop and apply state-of-the-art methods in artificial intelligence such as representation learning, time series modeling or physics-informed machine learning to solve important problems in biological imaging. - Work with a diverse range of biological data types, including cell/tissue images, time-lapse microscopy, cryo-ET tomography, multi-omics data and more. - Implement scalable solutions with respect to complex problems/scientific questions on large-scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, to advance understanding of cell dynamics, systems, and interactions. - Work as part of a team to leverage large open-source biological datasets and large-scale compute to create models that transform our understanding of cells. - Advance the community standards for dissemination, presentation, and evaluation of computational approaches to core scientific problems. - Contribute to the scientific community through publishing papers, blog posts, open source code, and attending conferences in machine learning and the life sciences.

What You'll Bring - Have a PhD or Masters in computer science (focus on machine learning and/or computer vision), physics or applied math, or a related field or equivalent industry experience and at least 5 years of experience developing and applying state-of-the-art AI/ML methods. -Experience in modern computer vision methods such as vision transformers or diffusion models.

New York

Description - Bloomberg’s Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 1 billion proprietary and third-party data points published daily -- across all asset classes -- searchable, discoverable, and actionable.

Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.

We are looking for Senior MLOps Engineers with strong expertise and passion for building and maintaining AI systems to join our team.

As a Senior MLOps Engineer you will design and build tools to improve the efficiency of our Model Development Life Cycle (MDLC), automate ML processes, enhance the performance of our systems and more.

Join the AI Group as a Senior MLOps Engineer and you will have the opportunity to: -Architect, build, and diagnose production AI applications and systems -Collaborate with colleagues on production systems and write, test, and maintain production quality code -Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage -Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

We are looking for a Senior MLOps engineer with:

-4+ years of experience working with an object-oriented programming language (Python, Go, etc.) -A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience -An understanding of Computer Science fundamentals such as data structures and algorithms -An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management -Industry experience with machine learning teams -Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc. -Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc. -Experience with cloud providers such as AWS, GCP or Azure -A track record of collaboration with colleagues to achieve repeatable high quality outcomes

USA – Austin, San Jose

Overview

Arm technology is becoming the platform of choice for compute and AI. The Arm System Engineering team’s mission is to architect, design, and develop scalable compute platforms. Our capabilities span hardware and software, interconnects, system management, storage, physical infrastructure, and performance engineering. We lead customer collaborations, technology evaluation, end-to-end architecture, network strategy, and rigorous performance analysis. The team is developing advanced technologies to deliver innovative, high-performance solutions to power high-performance AI/ML applications. Job Overview:

The Performance Engineering Team plays a central role in enabling and optimizing performance across Arm’s compute systems. The team’s charter is to model, measure, and optimize performance at scale, ensuring Arm-based solutions achieve world-class efficiency and throughput for diverse workloads—from AI training and inference to scientific and data-intensive computing Responsibilities:

The System Engineering team is looking for AI/ML, Software, and Performance Engineers that will be responsible for application performance and benchmarking to enable ARM’s customer base in the datacenter space. Ownership of system performance for AI workloads and related software tools Collaboration with platform, interconnect, software, storage and system management engineering teams to perform system-scale testing and validation Oversight of support functions such as programs management, quality, and DevOps. Core Hiring Focus:

We are expanding our Performance Engineering team and seeking individuals passionate about pushing the limits of AI performance on systems built around Arm platforms. Key areas of recruitment include: Performance Modeling Engineers: Develop analytical and simulation-based performance models for large-scale AI/ML systems. AI and ML Performance Engineers: Optimize LLM and generative model training/inference workloads on Arm-based systems. Systems and Networking Engineers: Advance interconnect and collective communication performance across multi-node clusters, reduce system jitter. Storage Performance Engineers: Design and optimize parallel file system and near computer storage solutions for AI/ML workloads. Resilience and Reliability Engineers: Innovate in checkpointing, recovery, and resilient distributed training. Benchmarking Specialists: Lead evaluation and comparison of Arm-based performance using industry-standard metrics. In Return:

Be part of a groundbreaking team influencing the next generation of Arm systems for AI/ML computing! Collaborate with top engineers and vendors to develop industry-leading AI systems. Access professional growth through sophisticated project involvement and multidisciplinary teamwork. Join a company committed to diversity and inclusion, where your work matters and drives global progress!