Senior Applied Scientist, Linear Personalization Experience Team (LPEX) Amazon.com IncSenior Applied Scientist, Linear Personalization Experience Team (LPEX)Seattle, WAPrime 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+. The LPEX team"s vision is to surface the breadth and depth of Prime Video"s linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog.
Data Scientist, AWS Support Capacity Planning Amazon.com IncData Scientist, AWS Support Capacity PlanningSeattle, WAAmazon Web Services, Inc. provides services for broad range of applications including compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), security, and application development, deployment, and management. AWS Support"s Capacity Planning team is looking for a strong, talented Data Scientist to model contact and volume forecasting, discovering insights and identifying opportunities through the use of statistics, machine learning, and combinatorial optimization problems to drive business and operational improvements.
Sr. Applied Scientist, Selling Partner Communities (SPC) Amazon.com IncSr. Applied Scientist, Selling Partner Communities (SPC)Seattle, WAThe team focuses on developing comprehensive frameworks for measuring and monitoring seller sentiment, improving content discovery and engagement, enhancing operational efficiency for Community Assistance Managers (CAMs), bringing clarity to complex challenges through scientific expertise, and creating AI-powered tools for content generation and validation. The successful candidate is a skilled scientist capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems.
Applied Scientist, Linear Personalization Experience Team (LPEX) Amazon.com IncApplied Scientist, Linear Personalization Experience Team (LPEX)Seattle, WAPrime 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+. The LPEX team"s vision is to surface the breadth and depth of Prime Video"s linear selection at exactly the right moment for each customer curating the most relevant programming, tailored to individual tastes, purchase behaviors, schedules, and viewing habits, while simultaneously elevating awareness of our extensive live and linear catalog.
Software Engineer, EC2 Nitro Amazon.com IncSoftware Engineer, EC2 NitroSeattle, WAYou will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Collaborate with Senior/Principal Engineers, Product Managers, Sr TPMs, and cross-functional teams to define requirements, system architectures, and implement robust and scalable solutions.
Applied Scientist, Customer360 Amazon.com IncApplied Scientist, Customer360Seattle, WAOur team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, execute experiments, and develop statistical and ML models.
Sr. SDE, EC2 Nitro Networking Amazon.com IncSr. SDE, EC2 Nitro NetworkingSeattle, WAYou will be part of a team that owns the software-defined networking (SDN) dataplane stack that powers EC2 networking across diverse applications such as Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Lead the end-to-end design, scoping, implementation, and integration testing of performance optimizations and dataplane features that run on the EC2 Nitro System that power Machine Learning workloads.
Applied Scientist, Sponsored Products and Brands Amazon.com IncApplied Scientist, Sponsored Products and BrandsSeattle, WAThe Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.
Applied Scientist, Amazon Leo Satellite Build Systems Amazon.com IncApplied Scientist, Amazon Leo Satellite Build SystemsBellevue, WAYour work will power AI-enabled workflows such as non-conformance disposition, root-cause analysis, and predictive test optimization - reducing defects, accelerating production, and helping create more intelligent, data-driven manufacturing systems. You may start by partnering with Quality and Manufacturing teams to define a training dataset for a root-cause prediction model, including how historical cases should be labeled and evaluated.
NewApplied Scientist , Prime Video Personalization and Discovery Amazon.com IncApplied Scientist , Prime Video Personalization and DiscoverySeattle, WADevelop AI solutions for various Prime Video Personalization systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; Effectively communicate technical and non-technical ideas with teammates and stakeholders; Stay up-to-date with advancements and the latest modeling techniques in the field; Publish your research findings in top conferences and journals. 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+.
Customer Engineer III, Platform, Google Cloud Google LLCCustomer Engineer III, Platform, Google CloudSeattle, WAAs part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. Preferred qualifications: Experience selling technical solutions in one or more of the following: infrastructure modernization, application modernization, data management, data analytics, cloud AI, networking, migrations, security.
Applied Scientist, Prime Video - Personalization and Discovery Science Amazon.com IncApplied Scientist, Prime Video - Personalization and Discovery ScienceSeattle, WAPrime 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+. 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.
Sr. Applied Scientist, Classification and Policy Platform Amazon.com IncSr. Applied Scientist, Classification and Policy PlatformSeattle, WAAs an Applied Scientist on the CPP team, you will be responsible for working across backend, client, business development, and data engineering teams to coordinate deep-dives, inform roadmaps, visualize metrics, and create predictive models to determine how we can best serve our customers. Responsibilities include: Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching and ranking problems, including filtering, new content indexing, and apply document understanding.
Applied Scientist, Search Ranking Amazon.com IncApplied Scientist, Search RankingSeattle, WAOur interests span machine learning for better ranking, personalization to refine the ranking of our models, reinforcement learning to bring the benefits of exploration to search ranking, and infrastructure to make it all happen at scale and efficiently. As an Applied Scientist on the Search Ranking team, you will build search ranking models that work for thousands of product types, billions of queries, and hundreds of millions of customers spread around the world.
Software Engineer- AI/ML, Amazon Neuron Training Amazon.com IncSoftware Engineer- AI/ML, Amazon Neuron TrainingSeattle, WAYou will work across PyTorch and Neuron solftware stack with amazing Neuron compiler and runtime teams to enable and tune large-scale training workloads on the latest Trainium instances You will own the parallelism strategies these models depend on, spanning data, tensor, pipeline, expert, and context parallelism, and apply reduced-precision formats where they measurably pay off. The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on AWS Trainium, Amazon"s custom machine learning accelerator.
Sr. Applied Scientist - Computer Vision, Amazon Robotics Amazon.com IncSr. Applied Scientist - Computer Vision, Amazon RoboticsSeattle, WAWe are seeking an passionate, hands-on, seasoned Senior Applied Scientist who will be deep in code and algorithms; who is technically strong in building scalable 3D perception systems across semantic scene completion, encoder-decoder and transformer architectures (e.g., VoxFormer, MonoScene), voxelized occupancy prediction, panoptic and instance segmentation, depth estimation, point cloud processing, and multi-view fusion. Our team tackles some of the hardest unsolved problems in 3D robotic perception: completing occluded scenes from partial observations, generating real-time semantic occupancy predictions, fusing multi-camera inputs (pedestal and end-of-arm tool), and producing sub-250ms mesh reconstructions that drive downstream manipulation decisions.
NewStaff + Sr. Software Engineer, Scaling Anthropic PBCStaff + Sr. Software Engineer, ScalingSeattle, WA$320,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Staff + Senior Software Engineer, Inference Anthropic PBCStaff + Senior Software Engineer, InferenceSeattle, WA$320,000–$485,000 / yearThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Data Annotation Specialist - Seattle (On Site) Welo Global IncData Annotation Specialist - Seattle (On Site)Seattle, WADriving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. This role is an incredible chance to be at the forefront of AI technology, helping shape the future by testing new products, updating machine learning models, and ensuring high-quality data for impactful AI solutions.
Staff + Sr. Software Engineer, Scaling AnthropicStaff + Sr. Software Engineer, ScalingSeattle, WAThis research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.