NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Our internships offer an excellent opportunity to expand your career and get hands on experience with one of our industry leading Deep Learning Computer Architecture teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Throughout the 12-week minimum full-time internship, students will work on projects that have a measurable impact on our business. We’re looking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

What we need to see: Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship.

Course or internship experience related to the following areas could be required:
Computer Architecture experience in one or more of these focus areas: GPU Architecture, CPU Architecture, Deep Learning, GPU Computing, Parallel Programming, or High-Performance Computing Systems  

GPU Computing (CUDA, OpenCL, OpenACC), GPU Memory Systems, Deep Learning Frameworks (PyTorch, TensorFlow, Keras, Caffe), HPC (MPI, OpenMP)
Modelling/Performance Analysis, Parallel Processing, Neural Network Architectures, GPU Acceleration, Deep Learning Neural Networks, Compiler Programming
Performance Modeling, Profiling, Optimizing, and/or Analysis

Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
C, C++, Python, Perl, GPU Computing (CUDA, OpenCL, OpenACC), Deep Learning Frameworks (PyTorch, TensorFlow, Caffe), HPC (MPI, OpenMP)

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits. ​

Applications are accepted on an ongoing basis.

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 characteristic protected by law.

Hong Kong

Flow Traders is committed to leveraging the most recent advances in machine learning, computer science, and AI to generate value in the financial markets. We are looking for Quantitative Researchers to join this challenge.

As a Quantitative Researcher at Flow Traders, you are an expert in mathematics and statistics. You are passionate about translating challenging problems into equations and models, and have the ability to optimize them using cutting-edge computational techniques. You collaborate with a global team of researchers and engineers to design, build, and optimize our next generation of models and trading strategies.

Are you at the top of your quantitative, modeling, and coding game, and excited by the prospect of demonstrating these skills in competitive live markets? Then this opportunity is for you.

New York

Software Developer: Generative AI Product Development

The D. E. Shaw group seeks exceptional software developers with expertise in generative AI (GAI) to join a small, fast-moving team building greenfield GAI products that directly transform how our teams operate. In this hands-on, entrepreneurial role you’ll partner with users across the firm to design, build, and deploy bespoke GAI solutions that drive efficiency, enhance analytical capabilities, and accelerate decision-making. This position offers the chance to lead projects from concept to production, and shape internal GAI strategy in a collaborative environment.

What you'll do day-to-day

You’ll join a dynamic team, with the potential to:

• Lead and contribute to greenfield projects, driving innovation and defining the future of GAI at the firm through full-cycle ownership, from exploration to deployment.
• Collaborate directly with internal groups and end users to build GAI applications tailored to nuanced, real-world business needs, and deliver solutions with immediate impact.
• Experiment with emerging AI tools and applications, rapidly prototyping and integrating them across platforms to enhance usability and effectiveness firmwide.
• Scale GAI tool adoption and improve integration with internal systems, with a focus on enabling seamless workflows and efficiency gains.

Who we're looking for

• An extensive background in software and product development and a solid understanding of GAI technologies, demonstrated through hands-on experience building and scaling AI solutions at the product or company level.
• Expertise in technical or entrepreneurial environments, with a record of solving complex challenges and taking projects from inception to deployment.
• We welcome outstanding candidates at all experience levels who are excited to work in a collegial, collaborative, and fast-paced environment.
• The expected annual base salary for this position is 200,000USD to 250,000USD. Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, wellness reimbursement, family building benefits, and a charitable gift match program.

Abu Dhabi, UAE

The Department of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) has faculty openings at all ranks (full/associate/assistant professors). Qualified candidates are invited to apply. Applicants are expected to conduct outstanding research and be committed to teaching. Successful applicants will be provided an attractive remuneration package and allocated generous research funding for each year. Long-term research on big problems is particularly encouraged.

More details about the positions and the submission are available at https://apply.interfolio.com/176242

Those attending NeurIPS are welcome to talk to us to learn more about the university and the positions.

Contact: Chih-Jen Lin (chihjen.lin@mbzuai.ac.ae)

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

Locations: New York, Chicago, London, Amsterdam, Hong Kong, Sydney

IMC is looking for experienced quant researchers to develop high to mid frequency trading strategies and predictive models for the global markets. If you’re excited about helping to push the boundaries of what we can do with Machine Learning in trading, unlocking the significant edges we have in execution, and collaborating to become the best trading firm worldwide, there's a role for you at IMC.

Work Location:

Toronto, Ontario, Canada

Description

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs. Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

As a Research Machine Learning Scientist, you will

• Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.

• Research, develop, and apply new techniques in deep learning to advance our industry leading products.

• Work with large-scale, real-world datasets that range from banking transactions, to large document collections.

• Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.

Required Qualifications:

• PhD or Master’s degree in Computer Science, Statistics, Mathematics, Engineering or a related field

• Strong background in machine learning and deep learning

• 2+ years of research experience with publication record

• Proven track record of applying machine learning to solve real-world problems

Preferred Qualifications:

• Depth of experience in relevant ML research disciplines

• Hands on experience in software systems development

• Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library

• Experience with Spark, SQL, or comparable database systems

• Experience using GPUs for accelerated deep learning training

• Familiarity with cloud computing systems like Azure or AWS

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

Various locations available

Adobe is looking for a Machine Learning intern who will apply AI and machine learning techniques to big-data problems to help Adobe better understand, lead and optimize the experience of its customers.

By using predictive models, experimental design methods, and optimization techniques, you will be working on the research and development of exciting projects like real-time online media optimization, sales operation analytics, customer churn scoring and management, customer understanding, product recommendation and customer lifetime value prediction.

All 2026 Adobe interns will be co-located hybrid. This means that interns will work between their assigned office and home. Interns will be based in the office where their manager and/or team are located, where they will get the most support to ensure collaboration and the best employee experience. Managers and their organization will determine the frequency they need to go into the office to meet priorities.  

What You’ll Do
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques. - Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems - Collaborate with product management and engineering groups to develop new products and features.

What You Need to Succeed
- Currently enrolled full time and pursuing a Master’s or PhD degree in Computer Science, Computer Engineering; or equivalent experience required with an expected graduation date of December 2026 – June 2027 - Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts. - Proficient in one or more programming languages such as Python, Java and C - Familiar with one or more machine learning or statistical modeling tools such as R, Matlab and scikit learn - Strong analytical and quantitative problem-solving ability. - Excellent communication, relationship skills and a team player - Ability to participate in a full-time internship between May-September

AI Scientist

The Role

This AI Scientist position will drive the development and optimization of Aizen's generative AI-based peptide drug discovery platform, DaX™. You will be responsible for incorporating state-of-the-art neural network architectures and high-performance computational biology software to improve the accuracy and throughput of our drug discovery efforts. Your work will be critical in translating experimental data and scientific insights into scalable, robust models.

Our Ideal Candidate

You are passionate about the company’s mission and a self-starter with an inextinguishable fire to compete and succeed. You thrive in an environment that requires crisp judgment, pragmatic decision-making, rapid course-corrections, and comfort with market ambiguity. You discharge your duties within a culture of mutual team respect, high performance, humility, and humor.

Key Responsibilities

• Incorporate state-of-the-art neural network architectures and training methods to improve accuracy and throughput of DaX™, Aizen's generative AI-based peptide drug discovery platform.
• Develop, test, deploy, and maintain high-performance computational biology software according to the needs and feedback of experimentalists at Aizen.
• Orchestrate new and existing Aizen software tools into scalable, highly-available, and easy-to-use cloud pipelines.
• Work closely with experimental scientists at Aizen to manage storage and access of Aizen's experimental data.

Candidate Skills and Experience

• Ph.D. and/or postdoctoral studies in Computer Science, Computational Biology, Bioinformatics, or a related field.
• Deep, demonstrated expertise in advanced Generative Models (e.g., Flow Matching, Diffusion Models) for de novo design in discrete and continuous spaces.
• Experience integrating and leveraging data from physics-based simulations (e.g., Molecular Dynamics) into machine learning models.
• Experience collecting, sanitizing, and training on biological property datasets, with a preference for prior experience with peptides.
• Proficiency with Python, shell scripting, and a high-performance compiled language.
• Entrepreneurial spirit, self-starter with proper balance of scientific creativity and disciplined execution.
• Preferred: Experience designing and maintaining high-availability cloud architectures for hosting high-performance biological analysis software.
• Preferred: Experience in chemical featurization, representation, and model application for peptide chemistry, non-canonical amino acids (NCAAs), and complex peptide macrocycles.
• Preferred: Experience in protein/peptide folding dynamics, protein structural analysis, and resultant data integration to improve computation/design.

About Aizen

Aizen is an AI-driven biotechnology company pioneering Mirror Peptides, a novel class of biologic medicines. Mirror Peptides are synthetic, fully D-amino acid peptides that represent a vast, unexplored therapeutic chemical space. Backed by life science venture capital and based in the biotech hub of San Diego, CA.

Location & Compensation

• Reporting: Principal AI Scientist
• Location: This position offers fully remote work with monthly/quarterly trips to company facilities in California.
• Compensation: Competitive base salary, stock options, and a benefits package including medical coverage.

Contact

To apply, please contact us at jobs@aizentx.com.

An equal opportunity employer V1