Senior Machine Learning Engineer - Foundation Model XPeng MotorsSenior Machine Learning Engineer - Foundation ModelSanta Clara, CA$174,720–$295,680 / yearYou will work closely with world-class researchers, perception and planning engineers, and infrastructure experts to design, train, and deploy large-scale multi-modal models that unify vision, language, and control. XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics.
AIML - Distinguished Engineer, Foundation Models Apple IncAIML - Distinguished Engineer, Foundation ModelsCupertino, CADemonstrated expertise in deep learning with a publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, KDD, ACL, ICASSP, InterSpeech) or a track record in applying deep learning techniques to products Proficient programming skills in Python and one of the deep learning toolkits such as JAX, PyTorch, or Tensorflow Ability to work in a collaborative environmentWeb-scale information retrieval Human-like conversation agent Multi-modal perception for existing products and future hardware platforms On-device intelligence and learning with strong privacy protections PhD, or equivalent practical experience, in Computer Science, or related technical field. Were solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows.
Senior Model-Based Systems Engineer Rondo Energy IncSenior Model-Based Systems EngineerAlameda, CA$185,000–$210,000 / yearBuild and maintain automated workflows in an AI-powered systems engineering platform to connect requirements, interfaces, simulations, verification status, interface changes, and traceability into a live, continuously updated picture of program health. 7+ years in systems, integration, or verification engineering on complex multi-disciplinary, software-intensive systems (energy storage, industrial, aerospace, automotive, robotics, or similar); 3+ years in a model-based engineering environment.
Member of Technical Staff - Foundation Model Architecture & AI Infrastructure Vinci4dMember of Technical Staff - Foundation Model Architecture & AI InfrastructurePalo Alto, CaliforniaToday, our unified model already operates across a subset of partial differential equations in real industrial environments. The next phase is expanding that unified architecture across operators, including: Maxwell’s equations.
Research Scientist Intern (TikTok-Privacy Innovation Lab-Multimodal Generative Model) - 2026 Start (PhD) TikTok IncResearch Scientist Intern (TikTok-Privacy Innovation Lab-Multimodal Generative Model) - 2026 Start (PhD)San Jose, CAResponsibilities: Participate in the architecture design and deep optimization of next-generation text-to-image and text-to-video models, including but not limited to: Develop a deep understanding of and optimize DiT + Flow Matching / Rectified Flow-based generative models. You will work on end-to-end training architecture design, from model-parallel execution and GPU efficiency to robust, fault-tolerant, privacy-aware training infrastructure.
Software Engineer Project Intern (Model Infrastructure) - 2026 Start (BS/MS) TikTok IncSoftware Engineer Project Intern (Model Infrastructure) - 2026 Start (BS/MS)San Jose, CAMassive Sparse & Dense Streaming: Build and optimize high-concurrency engines for Petabyte-scale streaming training, handling continuous parameter updates and high-frequency data ingestion without compromising stability. We tackle the industry's most demanding "frontier" challenges: managing Petabyte-scale distributed embedding states, optimizing thousand-node GPU clusters, and perfecting real-time Sparse/Dense streaming.
Senior Technical Program Manager, GenAI and Models NVIDIA CorpSenior Technical Program Manager, GenAI and ModelsSanta Clara, CAExperience running software releases across repositories, dependencies, test configurations, quality gates, collaborator approvals, open-source workflows, CI/CD systems, and tools such as GitHub, Git, Jira, Linear, Aha!, or Confluence. NVIDIA's Deep Learning Software team is looking for a Senior Technical Program Manager to lead programs across model pre-training, production RL runs, evaluation, and agentic AI infrastructure.
Senior System Software Engineer, Interactive World Models NVIDIA CorpSenior System Software Engineer, Interactive World ModelsSanta Clara, CACollaborate with research, simulation, rendering, robotics, and autonomous-vehicle teams to make technical tradeoffs, integrate capabilities into downstream workflows, and own complex modules or cross-team projects that shape technical direction and roadmaps. Demonstrated engineering judgment and a record of turning technically complex prototypes into reliable products through thoughtful tradeoffs, testing, and delivery, along with ownership of complex modules or cross-team projects and clear communication with partners.
Senior AI Architect, Foundation Models and SoC Co-Design - Autonomous Vehicles NVIDIA CorpSenior AI Architect, Foundation Models and SoC Co-Design - Autonomous VehiclesSanta Clara, CAYou will work with world-class AI researchers, silicon architects, and AV platform teams to identify the AI workloads that will define the next decade - and ensure NVIDIA platforms are architected to lead them. We are looking for a Senior AI Architect to help define the next generation of AI model paradigms for autonomous vehicles and shape how those models co-evolve with NVIDIA's future embedded SoC architectures.
Alibaba Cloud Intelligence-International GenAI Marketing Manager-Model Commercialization Growth (Sunnyvale) Alibaba Group Holding LtdAlibaba Cloud Intelligence-International GenAI Marketing Manager-Model Commercialization Growth (Sunnyvale)Sunnyvale, CA$121,000–$198,000 / yearVoice of Market to Product: Serve as the critical bridge between market and internal teams-systematically capturing, structuring, and prioritizing customer feedback and market signals to directly inform product roadmaps, pricing, and launch timing, enabling an agile "use-to-build, sell-to-scale" operating model. Own the full commercialization lifecycle: design and operate end-to-end data tracking from lead API sign-up token consumption, using attribution models to measure and optimize conversion efficiency at every stage-turning insights into action to accelerate token growth and business outcomes.
Senior Research Engineer, Foundation Model Training Infrastructure NvidiaSenior Research Engineer, Foundation Model Training InfrastructureSanta Clara, CAWays to stand out from the crowd: Master's or PhD's degree in Computer Science, Robotics, Engineering, or a related field; Demonstrated Tech Lead experience, coordinating a team of engineers and driving projects from conception to deployment; Strong experience at building large-scale LLM and multimodal LLM training infrastructure; Contributions to popular open-source AI frameworks or research publications in top-tier AI conferences, such as NeurIPS, ICRA, ICLR, CoRL. What we need to see: Bachelor's degree in Computer Science, Robotics, Engineering, or a related field; 10+ years of full-time industry experience in large-scale MLOps and AI infrastructure; Proven experience designing and optimizing distributed training systems with frameworks like PyTorch, JAX, or TensorFlow.
Marketing Manager, Institute of Foundation Models (IFM) Institute of Foundation ModelsMarketing Manager, Institute of Foundation Models (IFM)Sunnyvale, California$225,000–$275,000 / yearStrategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers. Based in Sunnyvale, this role focuses on translating complex technical work into clear, compelling campaigns, content, and assets for developers, researchers, and the broader AI ecosystem.
NewProduct Manager - Open Models NvidiaProduct Manager - Open ModelsSanta Clara, CASupporting product marketing in crafting model-specific messaging and documentation - including blogs, whitepapers, case studies, and presentations, highlighting NVIDIA's optimizations and software tools. Collaborating closely with internal engineering, infrastructure, and developer experience teams to enable best-in-class support for open models across inference, fine-tuning, and evaluation.
Senior AI Architect, Foundation Models And Soc Co-Design - Autonomous Vehicles NvidiaSenior AI Architect, Foundation Models And Soc Co-Design - Autonomous VehiclesSanta Clara, CAYou will work with world-class AI researchers, silicon architects, and AV platform teams to identify the AI workloads that will define the next decade - and ensure NVIDIA platforms are architected to lead them. We are looking for a Senior AI Architect to help define the next generation of AI model paradigms for autonomous vehicles and shape how those models co-evolve with NVIDIA's future embedded SoC architectures.
2026 Summer Intern - Physics & AI Modeling Engineering Applied Materials2026 Summer Intern - Physics & AI Modeling EngineeringSanta Clara, CAIf you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members.
2026 Summer Intern - Physics & AI modeling Engineering Applied Materials Inc2026 Summer Intern - Physics & AI modeling EngineeringSanta Clara, CAFamiliar with Python library like Scikit-learn, TensorFlow and PyTorch Additional Information Time Type: Full time Employee Type: Intern / Student Travel: Yes, 20% of the Time Relocation Eligible: Yes The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor.
Staff Machine Learning Engineer - Foundation Model XPeng MotorsStaff Machine Learning Engineer - Foundation ModelSanta Clara, CA$215,280–$364,320 / yearDesign, train, and deploy large deep learning models that can leverage the vast amount of labeled and unlabeled data from a fleet of million vehicles. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
Senior Staff Machine Learning Engineer – Autonomous Driving Foundation Models XPeng MotorsSenior Staff Machine Learning Engineer – Autonomous Driving Foundation ModelsSanta Clara, CA$244,140–$413,160 / yearXPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. Key Responsibilities: Architectural Leadership: Lead the design of end-to-end VLA architectures, bridging multi-modal perception with high-level linguistic reasoning and precise action generation.
Senior Machine Learning Engineer - Model Inference AppleSenior Machine Learning Engineer - Model InferenceCupertino, CAYour responsibilities span the full server stack, including onboarding new use cases, optimizing inference across heterogeneous accelerated compute hardware, deploying services on Kubernetes, building and integrating inference engines and control-plane components, and ensuring seamless integration with Maps infrastructure. **Description** As a Software Engineer on the Apple Maps team, you will lead the design and implementation of large-scale, high-performance inference services that support a wide range of models used across Maps, including deep learning and large language models.
Software Engineer - Model Performance - Special Projects Apple IncSoftware Engineer - Model Performance - Special ProjectsCupertino, CAWhat the day-to-day looks like:Investigating ML model performance and power on Apple Silicon Working closely with performance, power, model, and silicon teams to optimize the system Partner with ML and AI researchers to translate cutting-edge models onto Apple Silicon Prototyping ideas to support feature definition and iteration Clearly communicate technical concepts to cross functional partners Collaboration on architecture discussions and code reviewYouve shipped software that people relied on, and you learned something from every hard call along the way Youre someone who unblocks yourself. Deep experience in one or more iOS/macOS domains: system services, UI frameworks, concurrent application architecture, or performance optimization Practical knowledge of how LLMs work at the lowest level of model design and execution Close to the frontier.
Member of Technical Staff - Model Training X CorpMember of Technical Staff - Model TrainingPalo Alto, CA$180,000–$600,000 / yearIf you previously trained models used by millions of people it's a big plus, but modeling experience is not required. xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.
Senior AI Infra Engineer - Large Model Inference Systems (Multimodal/LLM/VLM) TikTok IncSenior AI Infra Engineer - Large Model Inference Systems (Multimodal/LLM/VLM)San Jose, CAExplore AI-driven infrastructure for inference systems, including AI Agents for kernel optimization, performance tuning, consistency validation, deployment pipelines, and intelligent operations Minimum Qualifications: Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields. Build and evolve next-generation inference systems for large-scale online traffic, including global scheduling across heterogeneous compute resources, high-concurrency load balancing, and efficient batch formation.
Research Scientist (Model Evaluation) SanasResearch Scientist (Model Evaluation)Palo Alto, CaliforniaDevelop reference-based and reference-free metrics calibrated to Sanas's specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short. Deep familiarity with speech and audio quality metrics — perceptual (MOS, MUSHRA, PESQ, STOI), signal-level (SI-SDR, SNR), and task-specific (WER, speaker similarity, DNSMOS) — and an understanding of when each is and isn't the right tool.
AI Infra Engineer - Large Model Training Infrastructure (LLM/VLM /Agent RL) TikTok IncAI Infra Engineer - Large Model Training Infrastructure (LLM/VLM /Agent RL)San Jose, CAEnable multimodal training across image, text, audio, and video, and support emerging architectures such as MoE and Linear Attention with correctness and convergence validation Minimum Qualifications: Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields. About the Team We are dedicated to building the training infrastructure for ultra-large-scale language models, vision-language models, and frontier agentic models.
AI Infra Engineer - Large Model Inference Systems (Multimodal/LLM/VLM) TikTok IncAI Infra Engineer - Large Model Inference Systems (Multimodal/LLM/VLM)San Jose, CAExplore AI-driven infrastructure for inference systems, including AI Agents for kernel optimization, performance tuning, consistency validation, deployment pipelines, and intelligent operations Minimum Qualifications: Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields. Build and evolve next-generation inference systems for large-scale online traffic, including global scheduling across heterogeneous compute resources, high-concurrency load balancing, and efficient batch formation.
Research Scientist (Model Evaluation) Sanas.aiResearch Scientist (Model Evaluation)Palo Alto, CADevelop reference-based and reference-free metrics calibrated to Sanas''s specific model tasks: SI-SDR, PESQ, STOI, DNSMOS, speaker similarity, WER delta, COMET, and task-specific custom metrics where off-the-shelf measures fall short. If you're looking to have a significant role in roadmapping and driving technical directions, if you're looking to deploy challenging and big ideas without much overhead or slowness, if you''re looking to leave your mark on an ambitious, generational mission to change how the worlds thinks about speech + AI, then Sanas is a well-suited place for you.
Senior AI Infra Engineer - Large Model Training Infrastructure (LLM/VLM /Agent RL) TikTok IncSenior AI Infra Engineer - Large Model Training Infrastructure (LLM/VLM /Agent RL)San Jose, CAEnable multimodal training across image, text, audio, and video, and support emerging architectures such as MoE and Linear Attention with correctness and convergence validation Minimum Qualifications: Bachelor's degree or above in Computer Science, Software Engineering, Artificial Intelligence, Mathematics, or related fields. About the Team We are dedicated to building the training infrastructure for ultra-large-scale language models, vision-language models, and frontier agentic models.
Lead AI Engineer (Vision model customization, VLM) Capital One Financial CorpLead AI Engineer (Vision model customization, VLM)San Jose, CA$197,300–$225,100 / yearBasic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
ML Engineer - Inference & Model Deployment HiringCafeML Engineer - Inference & Model DeploymentCupertino, CaliforniaYou will own the bridge between model development and real user-facing infrastructure: deploying models, optimizing inference latency and throughput, scaling serving systems, and making sure our models run efficiently in production. Implement optimization techniques such as quantization, pruning, batching, caching, efficient attention, and precision trade-offs while preserving model quality.
Applied Research Scientist - Foundation Models Ambient.aiApplied Research Scientist - Foundation ModelsRedwood City, CaliforniaPowered by Ambient Pulsar, the first reasoning Vision-Language Model purpose-built for physical security, our platform seamlessly integrates with existing security cameras and physical access control systems to unify monitoring, access control, threat assessment, response, and investigations through an always-on reasoning layer that augments security operators with superhuman capabilities. The momentum speaks for itself: we doubled new ARR in FY26, we process 200M+ video hours per day, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA.
Principal Product Manager, AI Model Security Microsoft CorpPrincipal Product Manager, AI Model SecurityMountain View, CA$139,900–$274,800 / yearOwn the model security roadmap: Define and prioritize the security hardening strategy for our frontier models across the full OWASP LLM threat surface - prompt injection (direct and indirect), data exfiltration, jailbreak resistance, system prompt leakage, training data extraction, and adversarial manipulation of agentic workflows. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
World Model Research Scientist- Physical AI KodiakWorld Model Research Scientist- Physical AIMountain View, California$180,000–$240,000 / yearShould the position require, and Kodiak determines that a candidate’s residence, U.S. person status, and/or citizenship status necessitate an export license, bar the candidate from the position, or otherwise fall under national security-related restrictions, Kodiak will consider the candidate for alternative positions unaffected by such restrictions, under terms and conditions set forth at Kodiak’s sole discretion, or, as an alternative, opt not to proceed with the candidate’s application. We are looking for a research scientist to lead the design and development of world models capable of generating multi-sensor, multi-view, temporally coherent driving scenarios conditioned on actions, 3D scene context, and text.
Staff Software Engineer, Modelling Infrastructure Google LLCStaff Software Engineer, Modelling InfrastructureSunnyvale, CAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. You will work closely with partner teams, external organizations, and engineers from various tool and infrastructure teams to understand needs, align road-maps, and ensure the modeling infrastructure meets the evolving demands of both networking and AI/ML landscape.
NewAI Research Scientist- Multimodal Foundational Models Robert Bosch GmbHAI Research Scientist- Multimodal Foundational ModelsSunnyvale, CA$165,000–$195,000 / yearThe Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG.
Research Scientist / Engineer – Foundation Model: Core Research LumaResearch Scientist / Engineer – Foundation Model: Core ResearchRedwood City, CaliforniaUnified Modeling & Efficiency Drive the core research that powers all of Luma's products — co-designing multimodal representations, advancing core algorithms for long-context training, and establishing rigorous scaling laws to predict performance across compute budgets. This role offers the chance to bridge frontier research with magical, shipped products like Dream Machine and Ray3, solving novel problems where no playbook exists.
NewSoftware Development Engineer AI/ML, Inference Model Enablement, AWS Neuron Amazon.com IncSoftware Development Engineer AI/ML, Inference Model Enablement, AWS NeuronCupertino, CAAs a Software Development Engineer on the Inference Model Enablement team, you will onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. You"ll collaborate with cross-functional teams of applied scientists, system engineers, and product managers to architect and deliver state-of-the-art inference capabilities.
Staff AI Research Engineer, Large User Models Google LLCStaff AI Research Engineer, Large User ModelsMountain View, CAWe"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
Tech Lead Manager, Large Language Models & Generative AI Beijing ByteDance Technology Co LtdTech Lead Manager, Large Language Models & Generative AISan Jose, CAWe're leveraging our deep expertise in artificial intelligence to create advanced AI algorithms that can understand, learn, and predict, dramatically enhancing user interactions. Improve natural language understanding, including intent recognition, structured/unstructured, characterization learning for short/long texts, etc.
Model UX Writer, Devices and Services Google LLCModel UX Writer, Devices and ServicesMountain View, CATeams across this area research, design, and develop new technologies to make our user"s interaction with computing faster and more seamless, building innovative experiences for our users around the world. The Platforms and Devices team encompasses Google"s various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware.
Research Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (PhD) Beijing ByteDance Technology Co LtdResearch Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (PhD)San Jose, CAMinimum Qualifications: Currently pursuing a PhD in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Our areas of focus include model pretraining, posttraining, inference, memory capabilities, learning, interpretability and other related directions.
Research Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (BS/MS) Beijing ByteDance Technology Co LtdResearch Scientist in Large Language Model (LLM) - Seed - Graduates - 2027 Start (BS/MS)San Jose, CAMinimum Qualifications: Currently pursuing a Bachelor's or Master's degree in computer science, mathematics, engineering, or a related field, with an expected graduation date in 2027 and the ability to commit to an onboarding date by the end of 2027. Our areas of focus include model pretraining, posttraining, inference, memory capabilities, learning, interpretability and other related directions.
Edge ML Software Engineer (Model Optimization-PICO) - San Jose Beijing ByteDance Technology Co LtdEdge ML Software Engineer (Model Optimization-PICO) - San JoseSan Jose, CAMaster's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field, or equivalent practical experience. Apply hardware-aware optimization strategies, such as quantization, compression and operator fusion, to meet latency, memory and power targets.
Software Development Manager, LLM Inference Model Enablement, Neuron SDK Amazon.com IncSoftware Development Manager, LLM Inference Model Enablement, Neuron SDKCupertino, CAAs an SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Trainium accelerators. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries.
Staff ML Engineer, Generative Model Performance & Efficiency Waymo LLCStaff ML Engineer, Generative Model Performance & EfficiencyMountain View, CA$251,000–$310,000 / yearSince its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World''s Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.
Machine Learning Engineer, Foundation Model Services Apple IncMachine Learning Engineer, Foundation Model ServicesSanta Clara, CAOur Infrastructure powers a wide gamut of services at Apple including Apple Search, Apple Music, AppleTV, AppStore, iMessages, Photos & Camera, Spotlight, Safari, Siri and upcoming ever exciting Apple products serving millions of queries every day with incredible low latencies, drawing every ounce of compute from our hardware. Proficient in building and maintaining systems written in modern languages (eg: Golang, python) Bachelor's degree or higher in Computer Science or related technical field.
Hunyuan Aigc Algorithm Researcher (World Model Foundation Direction) Tencent LTDHunyuan Aigc Algorithm Researcher (World Model Foundation Direction)Palo Alto, CA$140,400–$264,000 / yearAs the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation. Technology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services.
Staff/Sr. ML Infrastructure Engineer, Foundation Model Compute Infra Apple IncStaff/Sr. ML Infrastructure Engineer, Foundation Model Compute InfraCupertino, CAEvery new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better.
AI/ML Engineer - Model Inference General Motors CoAI/ML Engineer - Model InferenceSunnyvale, CA$117,700–$221,400 / yearThe team sits at the intersection of machine learning, data infrastructure, and developer productivity, building systems that make it easier to search for important scenarios, prepare training-ready data, and support fast iteration across perception and evaluation workflows. We believe the next generation of autonomy and robotics depends not only on stronger models, but also on better infrastructure for turning massive volumes of multimodal data into reusable signals, searchable artifacts, and high-quality evaluation loops.
On-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine Learning Apple IncOn-Device ML Compiler Engineer, Model Compilation, Graphics, Games and Machine LearningCupertino, CAIf you are passionate about the technical challenges of running sophisticated ML models across all devices, from resource-constrained devices to powerful clusters, and eager to directly impact how machine learning operates across the Apple ecosystem, this role presents a great opportunity to work on the next generation of intelligent experiences on Apple platforms. We're seeking a highly motivated software engineer who is creative, versatile, and passionate about machine learning, common compiler optimizations, and system software engineering in the fast-paced and dynamic field of machine learning.
AIML - Machine Learning Engineer in Foundation Models, Responsible AI and Safety Apple IncAIML - Machine Learning Engineer in Foundation Models, Responsible AI and SafetyCupertino, CAWork closely with product and partner teams to drive requirement definition, technical quality of deliverables, and executionResearch or product deployment record in areas related to responsible AI, with publications in top ML venues (e.g., ACL, CHI, CVPR, EMNLP, FAccT, ICML, Interspeech, NeurIPS, UIST, etc.). Work multi-functionally on a diverse set of challenging problems and collaborate with extraordinary software engineers, machine learning engineers, and researchers to impact the future of Apple products.