San Diego

Qualcomm AI Research looking for talented machine learning algorithm evaluation engineers with experience in machine learning to enable embedded GenAI. Come join a high-caliber team of engineers building advanced machine learning technology, best-in-class solutions, tools such as AI Model Efficiency Toolkit, Snapdragon Neural Processing Engine (SNPE) SDK and others to enable state-of-the-art networks/systems to run on devices with limited power, memory, and computation. Join Qualcomm’s AI Research team to design and implement highly optimized machine learning solutions for generative AI, in collaboration with a multi-disciplinary team of researchers and engineers.

Responsibilities: - As GenAI evaluation engineer, work with world-class engineers at Qualcomm Research to evaluate ML software tools and algorithms to ensure they meet quality standards - Learn the latest cutting-edge technologies in machine learning and new emerging applications and participate in each step of the development process and drive quality improvements. - Port AI/ML solutions to various platforms and optimize the performance on multiple hardware accelerators (like CPU/GPU/NPU) - Collaborate with members of the software teams and plan a comprehensive evaluation approach. - Work with a small team of engineers to implement the evaluation strategy, deciding key performance metrics (KPIs), developing automation, and performing qualitative tests. - Develop a deep understanding of the ML algorithms developed in the project. - Apply tools and algorithms on wide variety of use cases, develop best practices, provide detailed analysis, extend research, and identify areas for further optimization.

Minimum Qualifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Required Skills: - Great at software development with excellent analytical, development, and debugging skills. - Strong understanding of Machine Learning fundamentals. - Understanding of generative AI and its usage in various application - Experience with LLM, LVM, LMM models, and other NN architectures. - Proficiency in designing, implementing and training ML algorithms in high-level languages/frameworks (PyTorch and TensorFlow). - Excellent interpersonal, written, and oral communications skills

Preferred Skills: - MS or PhD in Computer Science/Engineering - 5+ years of proven experience in software development for GenAI, machine learning or high-performance computing with strong programming skills in Python and software design. - Familiarity with AI agent frameworks (like LangChain, LlamaIndex, Autogen). - Experience using/integrating Qualcomm AI Stack products (e.g. QNN, SNPE, QAIRT). - Experience with machine learning accelerators, optimizing algorithms for hardware acceleration cores, working with heterogeneous or parallel computing systems. - Design and develop generalized AI solutions, including RAG systems, to enhance user capabilities with our AI accelerators. - Experience in Android/Linux or other embedded systems.

For more positions and to register see: https://qualcomm.eightfold.ai/events/candidate/landing?plannedEventId=bkyZbLR19

At NVIDIA, we're not just building the future—we're generating it. Our Cosmos generative AI engineering team is pushing the boundaries of what’s possible across multimodal learning, video generation, synthetic data, and intelligent simulation. We welcome hard-working engineers and applied scientists with deep experience in generative modeling to help define the next era of AI computing.

What you'll be doing:

• Design, post-train, and optimize novel world models (e.g., diffusion video models, VLMs, VLAs) for Physical AI applications.
• Contribute to highly-collaborative development on large-scale training infrastructure, high-efficiency inference pipelines, and scalable data pipelines.
• Work with teams in research, software, and product to bring world models from idea to deployment.
• Collaborate on open-source and internal projects, author technical papers or patents, and mentor junior engineers.
• Prototype rapidly and iterate on experiments across cutting-edge AI domains, including text-to-image/video generation, reinforcement learning, reasoning, and foundation models.
• Design and implement model distillation algorithms for size reduction and diffusion step optimization. Profile and benchmark training and inference pipelines to achieve production-ready performance requirements.

What we need to see:

• Pursuing BS, MS, or PhD in Computer Science, Machine Learning, Applied Math, Physics, or a related field (or equivalent experience)
• Proficiency in PyTorch, JAX, or other deep learning frameworks is a must!
• We are working on all range of foundation models. You should have expertise in one or more of: diffusion models, auto-regressive models, VAE/GAN architectures, retrieval-augmented generation, neural rendering, or multi-agent systems.
• Our models are predominantly built on the transformer architectures. You should be intimately familiar with all variants of the attention mechanisms.
• Hands on experience with large scale training (e.g., ZeRO, DDP, FSDP, TP, CP) and data processing (e.g. Ray, Spark).
• All we do is in Python and we open source our product, therefore production-quality software engineering skills is highly relevant.

Ways to stand out from the crowd:

• Familiarity with high-performance computing and GPU acceleration.
• Contributions to influential open-source libraries or influential conference publications (NeurIPS, ICML, CVPR, ICLR).
• Experience working with multimodal data (e.g., vision-language, VLA, audio).
• Prior work with NVIDIA GPU-based compute clusters or simulation environments.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people on the planet working for us. If you're creative, passionate and self-motivated, we want to hear from you! NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services.

The base salary range is 120,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and benefits. NVIDIA accepts applications 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.

Location USA, WA, Seattle USA, CA, East Palo Alto

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!

Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, deep learning, and foundation models. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, deep learning, real-time and distributed systems, and hardware design.

Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. The team works on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues.

Networking Opportunity

Want to meet our CTO Reese Kneeland at CVPR? Send your resume to reese@alljoined.com with [CVPR Meetup] in the subject line, and we can find a time to connect!

About Alljoined

Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting healthcare applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.

We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.

About the Role

We're seeking a talented and experienced Machine Learning Researcher to join our core R&D team in person at our offices in San Francisco, CA. This role involves designing and implementing advanced machine learning models for EEG-based neural decoding, publishing high-impact research, and developing the core infrastructure for our brain decoding systems. You will work closely with leading experts in neural decoding and AI, pushing the boundaries of what's possible in brain computer interfaces.

Key Responsibilities

Research & Model Development:

• Develop, train, and refine state-of-the-art deep learning models for neural decoding, building on the latest advancements in ML architectures (e.g., transformers, diffusion models, etc).
• Explore novel approaches for modeling high-frequency timeseries EEG datasets along with a number of adjacent data modalities.
• Translate research insights into production-grade code that integrates seamlessly with our in-house BCI stack.

Collaboration & Publication:

• Collaborate with a team of neuroscientists and ML engineers to create scalable, end-to-end neural decoding solutions.
• Publish findings at top-tier ML and AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) and contribute to open-source communities where appropriate.

Qualifications

Educational Background & Experience:

• Bachelor's degree in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Mathematics, Biomedical Engineering, etc), with 5-7 years of experience in ML research or applied ML engineering; OR
• Graduate degree (M.S., Ph.D.) in Computer Science or a related domain (e.g., AI, Computational Neuroscience, Biomedical Engineering) with 3+ years of experience in ML research or applied ML engineering.
• Candidates with a Ph.D. and/or experience in high profile ML research labs are strongly preferred.

Technical Expertise:

• Strong foundation in contemporary machine learning techniques, including multimodal representation learning, generative models, transformers, LLMs, and other advanced network architectures.
• A track record of high-quality research demonstrated by publications in top ML conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR).
• Strong proficiency in Python and PyTorch, familiarity with ML tooling, and distributed training.
• Experience working in a production-quality codebase with modern code review standards.

Compensation Range

\$120,000 - \$250,000/year + equity at an early stage startup

While this represents our expected range based on market data, final compensation will be determined based on your specific qualifications and may be outside this range.

Other Benefits

• Options for housing support
• Visa sponsorship
• 3% 401k matching
• Health insurance

University of Surrey, Guildford, UK

This research post is part of the multimillion GBP EPSRC-funded SustaPack Prosperity Partnership project between the University of Surrey and Pulpex Ltd. As a research fellow, you will help to make the paper bottle a reality through your fundamental research on autonomous quality control.

Plastic packaging persists in the environment and is difficult to recycle. There is a growing demand for alternative materials to use as containers for liquids. Pulpex Ltd. (https://www.pulpex.com) are developing a new type of bottle made from cellulose fibres. The Pulpex bottle uses sustainable materials, can be recycled in existing paper waste-streams, can naturally degrade if not recycled, and has a carbon footprint 30% less than poly(ethylene terephthalate).

Specialist coatings are needed for the bottles to hold liquids and to enable a long shelf-life for the products contained within them. You will work as part of a team of three post-doctoral fellows and a PhD student at the University of Surrey along with engineers from Pulpex.

The project is well funded to allow training opportunities, travel to use national facilities, and conference attendance. There will be opportunities to visit collaborators’ sites and access national facilities. You will be provided with mentorship for personal and professional development to advance your future career. This project will be an excellent entry into the field of sustainable materials which are rapidly growing in use.

NVIDIA is searching for a world-class Research Scientist to join our growing Spatial Intelligence research team. The ideal candidate will be conducting cutting-edge research at the intersection of Machine Learning, Computer Vision and Computer Graphics, and working alongside top experts in these fields. With incredible resources in AI, graphics and robotics, you will be able to impact, contribute and advance these exciting domains. Topics include but are not limited to AI for simulation, 3D Deep Learning, DL for animation, content generation, transfer learning, domain adaptation, computer vision, and medical imaging. With its unique open culture, NVIDIA is one of the best industry labs to do AI research.

What you will be doing:

• Apply deep learning techniques to the simulation of complex physical phenomena such as fluid dynamics, fracture of materials, combustion, audio synthesis and propagation, and more.
• Work on improving realism and immersive qualities of VR environments and interactions, including intelligent characters, behavior of crowds and traffic, and human-machine interface problems.
• Participate in numerous projects to conduct Deep Learning research and publish papers to well known conferences (ex. ICCV)
• Product development for technology in Games, Virtual Reality, Education and other applications.

What we need to see:

• PhD or equivalent experience in Computer Science or a related field.
• Expertise in computer graphics, simulation or game development.
• In depth experience with C++/C, CUDA, DX, or OpenGL.
• Dedication to producing high quality and creative results in a collaborative environment.

Ways to stand out from the crowd:

• Skills in efficient model architectures and efficient implementations.
• Sharp mathematics skills.

Image recognition and speech recognition — GPU deep learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human imagination, conjuring up the amazing

Location USA, WA, Seattle

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems? Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment? You enjoy the prospect of solving real-world problems that, quite frankly, have not been solved at scale anywhere before. Along the way, you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables machine learning to create significant impacts.

We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute cutting-edge solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.

Location USA, WA, Bellevue

Description Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI and foundation models.

We are seeking an exceptional Principal Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases.

Machine Learning Engineer – Autonomous Vehicles

NVIDIA is looking for an experienced Machine Learning Engineer to join its Autonomous Vehicle team. As a member of our team, you will develop key features for our autonomous driving platform, applying machine learning to prediction, planning, and control problems. You will create innovative ML solutions for NVIDIA’s next-generation automotive products.

The ideal candidate has hands-on experience and deep knowledge in machine learning. Understanding of deep neural networks, autonomous vehicles, and domain adaptation is highly desirable. You should thrive in cross-disciplinary environments, collaborating across computer vision, computer graphics, and machine learning. Strong research, software development, communication, interpersonal, and analytical skills are essential.

Join us and help craft the future of AI automation.

What You’ll Be Doing

• Research, implement, and evaluate deep-learning-based methods for prediction and planning for NVIDIA's Autonomous Vehicle products.
• Lead, design, run, and analyze experiments and tests to evaluate solution efficiency on real-world data.
• Partner with system software engineering specialists to ship industrial-strength ML models.
• Communicate and collaborate with cross-functional teams.

What We Need to See

• BS/MS/PhD in computer science, electrical engineering, mechanical engineering, applied math, or related fields (or equivalent experience)
• 15+ years of proven experience building ML systems for autonomous vehicles or similar robotics applications
• Deep understanding of large language models (LLM) and transformers
• Hands-on experience building large-scale production ML systems and deploying them at scale
• Excellent leadership and a track record for innovation in ML-based planning solutions
• Experience with deep neural network (DNN) training, inference, and optimization in frameworks such as PyTorch, TensorFlow, TensorRT, etc.
• Excellent understanding of the mathematical foundations of machine learning and deep learning

Ways to Stand Out from the Crowd

• Prior experience as an ML planning lead
• Proven publication record in ML for planning, vision, or related fields
• Experience building and deploying vision-language-action or chain-of-thought models

Academic and commercial groups around the world are powering a revolution in AI using deep learning techniques running on NVIDIA GPUs, enabling breakthroughs in problems from image classification to speech recognition to natural language processing and autonomous vehicles. Intelligent AI computers that can learn, reason, and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an outstanding time. The era of AI has begun and NVIDIA is leading the way with revolutionary hardware and software. Come join us at NVIDIA!

Compensation & Benefits

• Base salary range: $272,000 – $425,500 USD
  (Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.)
• Equity and benefits: Eligible
• NVIDIA accepts applications on an ongoing basis.

Commitment to Diversity

NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity and 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.

Location USA, CA, Sunnyvale USA, WA, Bellevue

Description As a Principal Scientist within the Artificial General Intelligence (AGI) organization, you are a trusted part of the technical leadership. You bring business and industry context to science and technology decisions.

You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. You solicit differing views across the organization and are willing to change your mind as you learn more. Your artifacts are exemplary and often used as reference across organization.

You are a hands-on scientific leader. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.

You amplify your impact by leading scientific reviews within your organization or at your location. You scrutinize and review experimental design, modeling, verification and other research procedures. You probe assumptions, illuminate pitfalls, and foster shared understanding. You align teams toward coherent strategies. You educate, keeping the scientific community up to date on advanced techniques, state of the art approaches, the latest technologies, and trends.

You help managers guide the career growth of other scientists by mentoring and play a significant role in hiring and developing scientists and leads.

You will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.