Various locations available

Adobe Researchers are developing the next generation of advanced technologies and user experiences, inventing a future where Adobe enables new forms of creativity, frees people from routine tasks, and allows enterprises to understand and act quickly on customer and business insights. Our research labs are actively published in leading journals and conferences, work with product teams on high profile features, and explore new product opportunities across various domains. We are especially interested in fostering ongoing collaborations that last beyond the internship and become part of your PhD thesis.

Adobe Research focuses on the following research areas: - Content Intelligence - AI & Machine Learning - Computer Graphics (2D&3D) - Data Intelligence - Computer Vision, Imaging & Video - Audio - Systems and Languages - Natural Language Processing - Human Computer Interaction - AR, VR & 360 Photography - Document Intelligence - Intelligent Agents & Assistants

What you will do

Under the direction of an Adobe Research mentor, you will: - Pursue a research problem to apply to Adobe’s products and with the possibility of academic publication - Develop new algorithms, run experiments, and produce demonstration prototypes - Document and present your work, both verbally and in writing

What you will need - Current PhD or master's student in computer science, or related field (exceptional undergraduates will also be considered) - Sufficient research skills and background in your chosen subject area - Strong communication skills and teamwork experience - Passion for solving real-world problems with web-scale data using and inventing innovative Machine Learning algorithms.

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.

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 diseour organization and research partners all for the purpose of contributing to greater understanding of human cell function.

You will have the opportunity to work closely with teams of scientists, computational biologists, engineers and to collaborate with our grantees, with our institutes, and other external labs and organizations. Your work will inspire and enhance the production and analysis of datasets by teams and collaborators. Scientific focus areas could include single cell biology, imaging, genomics, and proteomics.

What You'll Do Working with the AI Research Scientists, iterate on, optimize, deploy, and maintain innovative machine learning models, systems, and software tools that enable the analysis and interpretation of AI models for Biology Work with cross-functional team members to quickly iterate on system performance to meet/stay ahead of users’ needs - e.g. we get feedback that the model doesn't scale to X million so working with our user researcher/scientist/product team to iterate on the solution. Partner with research scientists to build robust data loader pipelines for scalable distributed training and evaluation. Serve as an interface to product and engineering teams to understand how models may need to evolve to support multiple use cases. Develop model evaluation and interpretability frameworks that help biologists understand which data features drive model predictions Build reusable engineering utilities that can unlock experimentation velocity across research initiatives in the organization Optimize model architectures to enhance performance, fine-tune accuracy, and efficiently manage infrastructure resources

What You'll Bring Experience in working with a highly interactive and cross-functional collaborative environment with a diverse team of colleagues and partners solving complex problems through applied deep learning. A track record and expertise in developing deep learning models on large-scale GPU clusters, using techniques of distributing training such as DDP, FSDP, Model parallelism, low-precision training, profiling and optimizing AI/ML code, fine tuning models. Expertise in leading end-to-end experimentation pipelines for training and evaluating deep learning models, with particular focus on experiment tracking and reproducibility. A good working knowledge of Python-based ML libraries and frameworks such as PyTorch, JAX, TensorFlow, NumPy, Pandas, and Scikit-learn. Experience in using modern frameworks for distributed computing and infrastructure management, particularly as related to ML models such as PyTorch Lightning, Deepspeed, TransformerEngine, RayScale etc. Ability to effectively balance exploratory research with robust engineering practices. A good working knowledge of general software engineering practices in a production environment. The ability to work independently and as part of a team, and have excellent communication and interpersonal skills. Have a Masters in computer science with a focus on machine learning & data analytics, or equivalent industry experience and at least 6-8 years of experience developing and applying machine learning methods.

USA – Austin, Seattle

Job Overview

At Arm, we’re enabling the next wave of AI innovation - from cloud to edge, data center to device. Our AI Product Managers play a pivotal role in turning cutting-edge research and engineering into real-world solutions that scale across billions of devices. As part of a globally trusted ecosystem, you’ll define and shape products that power the future of intelligent, energy-efficient computing.

We’re looking for AI-focused Product Managers who thrive at the intersection of technology, strategy, and customer need - individuals who can align market trends with technical innovation, and help bring transformative AI products to life.

Responsibilities

As an AI Product Manager at Arm, your role may include: Defining and owning product roadmaps for AI/ML software, hardware, tools, or platforms Identifying emerging AI market opportunities and customer needs across domains Working closely with engineering, research, and design teams to guide product development Collaborating with business development and partner teams to support go-to-market strategy Ensuring delivery of impactful, scalable solutions aligned with Arm’s long-term vision

Required Skills and Experience

Demonstrated experience in product management, technical program management, or product strategy Familiarity with AI/ML technologies, platforms, or development workflows Strong ability to synthesize market trends, customer feedback, and technical input into clear product direction Excellent cross-functional collaboration and communication skills Ability to work across a range of stakeholders - from engineers to executives A strategic mindset with a drive to build products that solve real problems at scale

“Nice to Have” Skills and Experience

Experience with AI deployment in edge, embedded, cloud, or mobile environments Exposure to AI frameworks (e.g., TensorFlow, PyTorch), ML compilers, or hardware accelerators Background in developer tooling, ML model optimization, or platform product management Prior involvement in launching or scaling AI or infrastructure products

Postdoctoral Researcher – AI/ML for Scientific Discovery

The Center for Artificial Intelligence in Science and Engineering (ARTISAN) at Georgia Tech is seeking a highly motivated Postdoctoral Researcher to advance AI/ML methods for large-scale scientific challenges—including protein structure prediction, molecular dynamics, quantum chemistry, and computational neuroscience.

The immediate project centers on protein structure prediction and molecular dynamics. Emphasis is on creating innovative AI approaches grounded in protein biophysics and interpretability approaches to advance foundational scientific theories in protein science. The position is ideal for candidates excited by frontier questions at the intersection of AI, scientific computing, and molecular science.

Georgia Tech’s ARTISAN center offers a rich, interdisciplinary environment that brings together computational scientists, biologists, data scientists, and AI engineers. The candidate will be supported by a strong engineering team and have access to top-tier computing resources, including new AI4Science–dedicated HPC frameworks and GPU clusters.

Contact : For questions or to submit materials, contact: artisan-hiring at groups.gatech.edu. If you are at NeurIPS, please reach out to Giri Krishnan to meet in person and discuss giri@gatech.edu

AI Engineer - Agentic AI for scientific workflows

Location: Boston (US) / Barcelona (Spain)

Position overview:

As an AI Engineer specialized in Agentic AI workflows, you will play a key role in building new verifiable workflows for science and engineering. Your responsibilities will include designing, prototyping, developing and testing our pipeline. You will also manage data curation, conduct benchmarking to evaluate performance, analyze reasoning flaws and propose solutions. Close collaboration with our dedicated cross-functional team - consisting of AI Engineers, Software Engineers, Physicists and AI scientists - will be essential to the success of the project.

Your mission:

• AI Development: Contribute to the development of novel AI reasoning models and architectures, focusing on advanced reasoning techniques and application to scientific fields where rigour and reliability are fundamental.
• Data & Benchmarking: Supervise dataset curation, run benchmarks, and analyze performance results to guide improvements.
• Collaboration: Work closely with a cross-functional team of engineers and scientists, collaborating on solving challenging problems at the intersection of AI, physics and engineering.
• Documentation and Reporting: Develop detailed technical documentation and present research findings to internal teams and external stakeholders.
• Research & Publication: Contribute to cutting-edge research and publish results in top AI conferences and journals, helping advance the global AI research community whenever opportunities arise.

Key requirements:

• Master’s degree in Data Science, Computer Science, Information Technology, Artificial Intelligence, Physics or related field.
• 2+ years of experience, preferably in a mathematical, engineering, scientific, or technical setting.
• At least one year of experience in agentic AI applications
• Strong communication skills
• Ability to collaborate effectively within a multidisciplinary and multicultural environment
• Curiosity, and a proactive, solution-oriented mindset
• Excitement to work in a dynamic and fast-paced environment, thrives in ambiguity
• Personal interest in exploring most recent AI developments and keeping up to state of the art

Technical skills:

• Proficiency in Python
• Understanding of fundamental computer science principles
• Proficiency in agentic and deep learning frameworks
• Solid understanding of machine learning principles and architectures
• Fundamentals of statistics
• Hands-on experience with large language models
• Excellent research and analytical skills

Preferred Qualifications (Nice to Have):

• Proven excellence in relevant areas (e.g., awards, competition wins)
• Demonstrated curiosity and passion for AI (e.g., personal projects, outreach activities, hobby work) or proven contributions to open-source projects
• Proven ability to independently solve complex problems or lead challenging projects
• Academic or practical background in physics or other natural sciences
• Experience with good coding practices and software development standards
• Familiarity with recent AI pipelines and protocols e.g. MCP tools/servers

New York

Software Developer

Technology is integral to virtually everything the D. E. Shaw group does, which is why we seek exceptional software developers with a range of quantitative and programming abilities. Members of our technical staff collaborate on challenging problems that directly impact the firm’s continued success, utilizing their excellent analytical, mathematical, and software design skills as well as some of the most advanced computing resources in the world. Software developers have the opportunity to be part of a collegial, collaborative, and engaging working environment.

What you'll do day-to-day

Specific responsibilities may include formulating statistical models for our computerized trading strategies, developing distributed systems to analyze and react to incoming data in real time, and creating tools for advanced mathematical modeling.

Who we're looking for

• Successful developers have traditionally been the top students in their programs and have extensive software development experience.
• We welcome outstanding candidates at all experience levels.
• The expected annual base salary for this position is 225,000USD. Our compensation and benefits package includes substantial variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, a sign-on bonus, a relocation bonus, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

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 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

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 NLP Engineers with a strong expertise and passion for Natural Language Processing research and applications to join our team.

Natural Language Processing (NLP) methods are used to process collections of unstructured and semi-structured texts in order to extract semantic meaning, enhance the quality of the data and derive actionable insights and analytics.

Broad areas of applications and interest include: information extraction, entity recognition and disambiguation, topic classification, sentiment analysis, text analytics, summarization, event detection, conversation mining, dialogue systems, semantic parsing, question answering or sentence representations.

You'll have the opportunity to: -Collaborate with colleagues on production systems and write, test, and maintain production quality code -Design, train, experiment, and evaluate NLP models, algorithms and solutions -Demonstrate technical leadership by owning cross-team projects -Stay current with the latest research in NLP and incorporate new findings into our models and methodologies -Represent Bloomberg at scientific and industry conference and in open-source communities -Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have: -Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques -Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields. and 2+ years of relevant work experience -Experience with deep learning frameworks such as PyTorch -Proficiency in software engineering -An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving -Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders. -A track record of authoring publications in top conferences and journals is a strong plus

Job Description At Emmi AI, we are redefining how industries innovate. Traditional simulations are slow, expensive, and computationally heavy. We make them fast, scalable, and intelligent! Our AI-powered physics architecture and models unlock real-time interaction, slashing simulation times from days to seconds.

The Opportunity Work directly with our founding team as the strategic right hand to our CEO, COO, and Chief Scientist. You'll help navigate Emmi AI's growth trajectory in the specialized AI-physics simulation landscape through a blend of strategic insight and hands-on execution.

Your Mission - Strategic Intelligence & Decision-Making – Conduct market analysis of the specialized physics AI landscape, translating technical developments into strategic positioning - Lead Cross-Functional Projects – Orchestrate a wide range of high-impact special projects - VC & Investor Relations – Lead preparation for funding rounds, create compelling investor materials, and manage relationships with our European and international investors - High-Stakes Execution – Drive critical initiatives from conception to completion, adapting quickly as our strategic landscape evolves

Job Requirements - Venture Experience – 5+ years in VC, deep tech startups, consulting, or similar analytical roles - Strategic Thinking – Proven ability to analyze complex markets and translate insights into actionable recommendations - Project Management – Project management expertise across multiple workstreams - International Perspective – Experience working across European markets and innovation ecosystems - Exceptional Communication – Ability to translate complex technical concepts for diverse stakeholders

What Sets You Apart - Analytical Depth – You excel at quantitative and qualitative analysis, uncovering insights others miss - Technical Curiosity – While not necessarily a developer, you understand technology well enough to engage meaningfully with our research team - Growth Mindset – You thrive in ambiguity and see challenges as opportunities to push boundaries - Continental Vision – You understand Europe's unique deep tech ecosystem and can help position Emmi for success across multiple markets - Execution Excellence – You deliver consistently high-quality work and can adapt quickly as priorities evolve

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.

NVIDIA is developing the NVIDIA DRIVE AV Solution (NDAS), powered by the latest advancement in AI and accelerated computing. We are seeking a highly motivated software expert to join our Autonomous Vehicles (AV) Drive-Alpha team in US Santa Clara. You will be driving the engineering execution of feature development or exceeding the meaningful metric requirements, especially for L2++ and L3/L4.

Drive-Alpha consists of proficient domain-experts spanning the full stack of autonomous driving, including perception, fusion, prediction, planning and control, autonomous model, many with proven development experiences for the highly competitive market in key functions like Highway NOA (Navigation on Autopilot) and Urban NOA (Navigation on Autopilot), as well as p2p driving (including parking). This team is responsible for the integration and sign-off of NDAS component teams' merge request/change lists, promotes validated changes to merge into stable branch, analyzes the root-cause of the regression identified, and drive the corrective actions taken by component engineering teams for a productive CI/CD process of SW development. Also, the team members tightly integrate into component teams' development, acting as a dependency resolver for the component teams to deliver cross-function improvement that are most impactful to NDAS product. We nurture teamwork among component teams' engineers and establish positive relationships and communications with partner organizations.

What you’ll be doing: Provide in-depth and insightful technical feedback on the quality of NDAS L2++/L3/L4 SW stack, based on the performance metrics proven through offline-replay and in-car testing. Identify the weak link of the L2++/L3/L4 SW stack and make it strong. Integrate, test and sign-off SW stack's code change and model update, and drive the Root-Cause-Corrective-Action (RCCA) process to continuously improve the quality of NDAS SW. Decompose a complicated cross-function problem into actionable items and coordinate a concerted effort among multiple collaborators. Join force with component team developers, when necessary, provide your domain expert input to a solution for hard problems, and produce production-quality code to component code base.

What we need to see: BS/MS in Electrical Engineering, Computer Science, or related fields or equivalent experience. 5+ years related experience in software development, with hands-on dev experience in AD for automotive. Great coding skills in modern C++ and scripting languages like Python. Deep understanding of L2++/L3/L4 product features in the market. Hands-on experience in debugging AD SW problems. Excellent communication and interpersonal skills with ability to strive in a cross-disciplinary environment.

Ways To Stand Out From The Crowd: Experience of working as a hands-on tech lead for one or more autonomous driving components. Hands-on development experience of an SOP-ed AD and/or ADAS product. Rich experience of in-car testing with great intuition of first-level triaging (from symptom to component). Familiar with CI/CD process, test automation, Jenkins, Log-Sim reply.

NVIDIA has some of the most forward-thinking and hardworking people in the world. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 212,750 USD.

You will also be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other char