Senior Deep Learning Compiler Engineer NVIDIASenior Deep Learning Compiler EngineerAustin, CaliforniaWe have some of the most brilliant and hardworking people in the world working with us and our product lines are growing fast in some of the hottest state of the art fields such as Virtual Reality, Artificial Intelligence, Deep Learning and Autonomous Vehicles. Scope of these efforts includes defining public APIs, performance optimizations and analysis, crafting and implementing compiler infrastructure techniques for neural networks, and other general software engineering work.
Senior DFX Software Engineer - Machine Learning NvidiaSenior DFX Software Engineer - Machine LearningSanta Clara, CAOur team contributes to the advancement of all the fields in which NVIDIA participates, from gaming to building groundbreaking state-of-the-art compute platforms and Artificial Intelligence, by enabling high quality Silicon defect screening to sustain all these fields. What you'll be doing: Develop high performance software to enable design and development of efficient test pattern generation, application of these patterns on Silicon, failure analysis, and yield learning.
Principal Software Engineer, Full Stack, Event Technology Tableau SoftwarePrincipal Software Engineer, Full Stack, Event TechnologySan Francisco, CAOur industry-leading platforms and solutions help connect target audiences to the content they need, when and where they need it — making it as easy as possible for them to learn how to use Salesforce products and drive business growth. • Proven ability to collaborate closely with cross-functional teams, including product managers, designers, and other engineering teams, to deliver exceptional user experiences.
Machine Learning / Reinforcement Learning Infrastructure Engineer EkaMachine Learning / Reinforcement Learning Infrastructure EngineerCambridge, MassachusettsCollaborate with Researchers: Partner with the research team to understand their needs, build infrastructure that supports cutting-edge methods, guide best practices for training at scale, and contribute to core JAX model and training code. Distributed Systems: Familiarity with distributed training, multi-host setups, data pipelines, and managing workloads on cloud platforms or orchestration systems (e.g., Kubernetes, SLURM, GCP, AWS).
Senior Deep Learning Compiler Engineer - XLA NVIDIASenior Deep Learning Compiler Engineer - XLAAustin, CaliforniaMore recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.
Senior Machine Learning Engineer, Wallet, Payment & Commerce Apple IncSenior Machine Learning Engineer, Wallet, Payment & CommerceCupertino, CADesign and implement synthetic data generation systems across modalities such as: images, video, time series, and text, while using techniques such as GANs, VAEs, diffusion models, Bayesian/Causal methods, and LLM-based synthesis. Hands-on experience building synthetic data generation systems using modern generative techniques (GANs, VAEs, diffusion models, or LLM-based approaches), with measurable impact on model performance or data cost reduction.
Senior Deep Learning Framework Communications Engineer NVIDIASenior Deep Learning Framework Communications EngineerWestford, CaliforniaWe are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
Machine Learning Engineer – Forecasting & Production Systems Mai PlacementMachine Learning Engineer – Forecasting & Production SystemsNewark, NJExperience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter .
Senior Systems Software Engineer, Machine Learning NVIDIA CorpSenior Systems Software Engineer, Machine LearningSanta Clara, CAWays to stand out from the crowd: Experience designing and operating multi-agent pipelines in production, including handling non-deterministic failures, retry logic, and tool-call error recovery". Today, we're tapping into the unlimited potential of AI to define the next era of computing - an era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world.
Staff Machine Learning Engineer - Ads Signals Intelligence & Information Retrieval Apple IncStaff Machine Learning Engineer - Ads Signals Intelligence & Information RetrievalCupertino, CAApple's Ads Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple's advertising ecosystem-including the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack.
Principal Software Engineer, Full Stack Tableau SoftwarePrincipal Software Engineer, Full StackSan Francisco, CAIn addition to Events Technology, you will play a part in other public web experiences including www.tableau.com, www.mulesoft.com, and "role based" sites such as the developer, admin, and architect subdomains of Salesforce.com. Our industry-leading platforms and solutions help connect target audiences to the content they need, when and where they need it — making it as easy as possible for them to learn how to use Salesforce products and drive business growth.
Senior Deep Learning Tools Engineer – CUDA Tile NVIDIASenior Deep Learning Tools Engineer – CUDA TileRedmond, CaliforniaYou will collaborate closely with compiler developers, infrastructure providers, and hardware teams to build systems that track, analyze, and improve performance across rapidly evolving AI workloads. In this role, you will work at the intersection of deep learning compilers, GPU systems, and automation infrastructure, ensuring that performance improvements are measurable, scalable, and continuously validated over time.
NewSenior Deep Learning Systems Engineer, Datacenters NvidiaSenior Deep Learning Systems Engineer, DatacentersRedmond, WAAs NVIDIA makes inroads into the Datacenter business, our team plays a central role in getting the most out of our exponentially growing datacenter deployments as well as establishing a data-driven approach to hardware design and system software development. The role of a Deep Learning Systems Engineer would be to analyze the performance and power consumption of deep learning applications on datacenter-class hardware and significantly influence the design and optimization of datacenters.
Machine Learning Engineer Manager ZoomMachine Learning Engineer ManagerSeattle, WAMust have 5 years of experience in the following: 5 years of experience utilizing programming languages Python, C, C++, or CUDA; 5 years of experience building scalable software systems; 5 years of experience utilizing deep learning frameworks such as PyTorch and TensorFlow; 5 years of experience developing and deploying business application logic for handling requests and routing to deployed machine learning models such as LLMs, as well as, feature stores in DynamoDB, MongoDB, MySQL, and ElasticSearch; 5 years of experience leveraging authentication mechanisms such as Asymmetric JWT using a complex and securely designed key management system, such as AWS KMS and internally developed CSMS; 5 years of experience leveraging machine learning models, such as LLM prompts and agentic workflows, internally developed and third-party, and deploy them in a microservice environment powered by Docker and Kubernetes (AWS EKS), and an internal platform called ZCP, using languages such as Python and Java; 5 years of experience writing machine learning workflows operating on up to terabytes of data, deploy, and verify them on DataBricks using technologies like Spark and SQL. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
Senior/Staff Machine Learning Engineer, Search & Knowledge Platforms Apple IncSenior/Staff Machine Learning Engineer, Search & Knowledge PlatformsSanta Clara, CABachelor's in Computer Science, Machine Learning, or a related field 7+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems Strong programming skills in C/C++ or Python, and experience with ML frameworks Proficient understanding of search algorithms and familiarity with evaluation metrics for search and information retrieval Excellent communication and collaboration skillsAdvance degree in Computer Science, Machine Learning, or a related field 10+ years of industry or academia experience in machine learning, with a focus on search, NLP, or recommender systems Familiarity with NLP/ML tools and packages like Jax, TensorFlow, pyTorch, etc. Experience working with transformer-based models (e.g., BERT, T5) in a search context Prior industry experience on large scale search systems Ability to quickly prototype ideas / solutions, perform critical analysis, and use creative approaches for solving complex problems.
Machine Learning Engineer, Wallet Intelligence and Machine Learning Apple IncMachine Learning Engineer, Wallet Intelligence and Machine LearningAustin, TXMachine Learning Engineers here build analytical solutions and think deeply about where they fit into a larger system, staying ahead of fraud and applying the best privacy-preserving and fraud-prevention methods available to make Apple products, and especially Apple Pay and Apple Wallet, the safest platform people can use. As part of the Wallet Intelligence and Machine Learning team, you will help secure users digital lives across Apples devices - including Apple Pay and Apple Wallet - without sacrificing privacy.
Machine Learning Engineer Platform - iCloud Mail Intelligence Apple IncMachine Learning Engineer Platform - iCloud Mail IntelligenceSan Diego, CAExperience with agent-based architectures, orchestration frameworks, and LLM observability and evaluation tooling Expertise with LLMs, including fine-tuning, prompt engineering, embeddings, retrieval systems, evaluation, and integration into production systems. In this highly transparent position, the successful candidate will enhance existing mail systems while collaborating with multi-functional engineering teams, and also implement new customized mail experiences, in addition to preventing abuse of the system.
Sr Machine Learning Engineer, Proactive - ML Systems Engineering Apple IncSr Machine Learning Engineer, Proactive - ML Systems EngineeringCupertino, CAJoin the Proactive Intelligence team to create the future of intelligent experiences across our entire lineup of devices iPhone, iPad, HomePod, Mac, Apple Watch, AppleTV, and more!3+ years of experience building production machine learning systems Proficiency in Python programming Proficiency in at least one compiled language like C, C++, Objective-C, Swift, Go, Java, Kotlin, C#, or RustExperience working with ML pipelines and large datasets in production environments Experience in resource constrained computing (e.g., embedded systems or mobile development). As a member of our team, you will ship excellent software for machine learning systems; establish scalable automated processes for evaluation and monitoring; contribute to a healthy team culture where everyone feels respected, empowered, and challenged to grow; commit to engineering excellence by upholding best practices that enable us to move quickly with confidence; obsess over the user experience first, and learn the power of story telling to communicate complex ideas; and develop innovative tools and techniques that change the way we look at problems.
Machine Learning Engineer, Video Engineering Apple IncMachine Learning Engineer, Video EngineeringSunnyvale, CAWork both independently and collaboratively with team members to research and develop state-of-the-art ML models for 3D content creation, spatial video processing, and scene understanding, presenting and demonstrating your work to cross-functional teams and leadership alike. As a Machine Learning Engineer, youll be developing breakthrough ML models that power spatial media features, including 3D photos, immersive video, and scene reconstruction, reaching hundreds of millions of users.
Machine Learning Engineer II MimecastMachine Learning Engineer IIColumbus, OhioIn this role, you will embrace the role of "full-stack" data scientist, which will often require you to acquire and clean raw data, engage internal and external partners to obtain labels for that data, develop machine learning and statistical models, deploy models to production, and monitor the models for performance. D. or Master’s degree in a quantitative discipline (such as computer science, statistics, or mathematics) with a minimum of four years’ experience applying advanced machine learning techniques to real-world industry challenges, or possess a Bachelor’s degree with at least six years of directly relevant experience.