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.

The Team: Amazon Go 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 Amazon 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, and advanced machine learning. 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, machine learning, distributed systems and hardware design.

The Role: 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. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems.

As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.

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 Palo Alto, CA, USA

Machine Learning Engineer, Foundation Models (Medical Imaging)

About Vista AI

Vista AI is transforming MRI with real-time imaging software. We're rethinking the entire MRI stack—from pulse sequences to reconstruction and AI—to deliver faster, higher-quality, and more accessible scans that improve patient care.

The Role

We’re looking for a collaborative and creative ML Engineer to help build foundational AI technology for medical imaging. You’ll develop core models that power tasks like segmentation, registration, and protocol optimization—driving the next generation of clinical AI.

Responsibilities

• Foundational Encoders: Design and train general-purpose image encoders for downstream tasks.

• Self-Supervised Learning: Apply advanced pretraining using medical metadata and unlabeled data.

• Model Evaluation: Run experiments to compare architectures and define data needs.

• Multimodal Modeling: Integrate images, metadata, ECG, and other signals in unified models.

• Clinical Data Pipelines: Build tools for extracting and processing EHR and semi-structured data.

• Team Collaboration: Share insights, contribute to a culture of learning, and grow with the team.

Qualifications

• Bachelor’s in CS, Engineering, Math, Physics, or related field.

• Experience with MRI, CT, or ultrasound, especially volumetric data.

• Strong ML background with vision Transformers.

• Skilled in Python and PyTorch or TensorFlow.

• Familiar with ResNet, ConvNeXT, ViT, Swin.

• Excellent communication and teamwork.

Bonus Points

• Ph.D. in a relevant field.

• Experience with self-supervised pretraining and multimodal models.

• Knowledge of EHR and cloud platforms.

• 2+ years in ML/software roles.

Apply

Send your resume to apply@vista.ai. We offer competitive pay and benefits—and a chance to shape the future of medical AI.

Location USA, NY, New York City USA, WA, Seattle USA, CA, Palo Alto

Description Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

The Ad Response Prediction team in the Sponsored Products organization builds GenAI-based shopper understanding and audience targeting systems, along with advanced deep-learning models for Click-through Rate (CTR) and Conversion Rate (CVR) predictions. We develop large-scale machine-learning (ML) pipelines and real-time serving infrastructure to match shoppers' intent with relevant ads across all devices, contexts, and marketplaces. Through precise estimation of shoppers' interactions with ads and their long-term value, we aim to drive optimal ad allocation and pricing, helping to deliver a relevant, engaging, and delightful advertising experience to Amazon shoppers. As our business grows and we undertake increasingly complex initiatives, we are looking for entrepreneurial, and self-driven science leaders to join our team.

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.

Location USA, WA, Seattle

Description Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience.

As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people.

We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you!

Location Pittsburgh, PA

Description Who we are

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly.

The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone.

At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Machine Learning Software Engineer for our Motion Planning Team.

In this role, you will

Build machine learning approaches for motion planning for creating, generating, and selecting comfortable and safe trajectories for a self-driving vehicle Develop policies and plans to manage multi-actor interactions and plans under uncertainty Develop approaches that interleave motion planning with forecasting of other agents Develop and implement production-grade algorithms for the Aurora Driver Required Qualifications

BS, MS, or PhD in Robotics, Machine Learning, Applied Mathematics, Computer Science or related field 1+ years of industry experience building software in a production environment Strong programming and software design skills ideally in C++ and/or Python Knowledge of classical and modern ML approaches such as transformer networks, linear models, recurrent models, convolutional neural networks Familiarity with modern ML and GPU toolkits such as PyTorch, TensorFlow, JAX, TensorRT, and/or CUDA Desirable Qualifications

Experience with imitation and reinforcement learning and how machine learning can be used in robotics applications Experience in designing, building, and productionizing robotics systems, especially decision making systems, motion planning algorithms, state estimation algorithms, probabilistic modeling, or statistical techniques.

Location USA, WA, Seattle USA, NY, New York USA, CA, Palo Alto

Description In Demand Tech, we're revolutionizing digital advertising. Our products deliver on Amazon.com and beyond to TV, Twitch, and third-party websites. We bring advertising to brands of all sizes with rich creative experiences (images, video, text) and brand-first advertising goals.

The Response Prediction team sits at the heart of this mission. We build deep-learning models to predict consumer responses to ads that serve internet-scale traffic. Our goal is to accurately predict shopper responses to ads across a variety of devices, contexts, and marketplaces. By meticulously analyzing shopper interactions and their value, we enable the most effective ad allocation and pricing strategies, crafting advertisements that are not only relevant and engaging but also enrich the shopping experience.

Amidst rapid growth and evolving challenges, Demand Tech seeks a Principal Scientist with a deep passion for data, innovation, and the drive to explore new frontiers. This role is perfect for a leader capable of inspiring our team, pioneering deeply technical strategies, and playing a crucial role in crafting world-class advertising solutions. If you're ready to lead in a culture that prioritizes experimentation, teamwork, and ownership, join us. Together, we'll lead the advancement of brand advertising, pushing boundaries to ensure our continued success and growth.

Location USA, WA, Seattle USA, NY, New York USA, CA, Palo Alto

Description Amazon's advertising business has grown exponentially over the past years, helping connect sellers and vendors to shoppers who may be interested in their products. Our ad products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products that leverage state of the art AI technologies.

The Sponsored Products Marketplace Intelligence team is seeking a Principal Applied Scientist to lead the development and implementation of generative AI solutions for ad allocation and ranking on Amazon search pages. This role will be instrumental in revolutionizing how we match ads with customer intent and shopping behavior.

REMOTE

First and most importantly: our mission is to bring transparency and clarity to the world's data.

Our platform, FiftyOne, is where AI work happens. Our enterprise platform is the mission critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.

We believe that open source is the way to lead the data-centric AI revolution. Our open source version has 3 million downloads to-date.

Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the thrilling center of real-world AI advancement’s next wave.

And we’re built on three key tenets:

• We are all human beings: we strive to be a “human-first” organization and treat everyone with the respect, care, and flexibility that all people deserve.
• We are distributed: we believe in getting autonomy and power into the hands of people actually doing the work.
• We believe in the power of community.

Our fully distributed team is located across North America today.

As a Machine Learning Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community answering technical questions, coding integrations with complementary models and datasets, creating engaging content, plus helping organize and speak at events (in-person and virtual).

What you will do

• Writing: Author original documentation, tutorials, guides, technical articles, and blogs
• Integrations: Code up integrations that combine FiftyOne with complementary ML technologies, models, and datasets
• Videos: Self-produce short videos to supplement the written content
• Technical Support: Provide technical answers to open source users on Discord, Stackoverflow, and Reddit
• Educational Content: Create and deliver original courses, both online and in-person

What you should bring

• 2+ years of professional ML experience with an emphasis on computer vision uses cases
• MS or PhD in computer science with an emphasis on computer vision
• Proficiency with Python
• Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
• Great writing ability and proficiency with a screening recording/editing suite
• Links to blogs, articles and papers written
• Links to conferences or events you have spoken at
• Links to open source communities where you are an active participant
• Links to GitHub repos where your code is visible
• Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)

The cash compensation for this person is in the $200K-$240K range. In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.