NewClay Modeling Lead, Robot Industrial Design (10+ years) Continuum Resource NetworkClay Modeling Lead, Robot Industrial Design (10+ years)Foster City, CaliforniaDescription We are helping an on-demand, autonomous ride-hailing company hire a Clay Modeling Lead, Robot Industrial Design to lead the development and execution of clay models that translate design vision into precise three-dimensional form. In this role, you’ll partner closely with Industrial Design, Digital Modeling, Engineering, and Prototype teams to ensure physical models accurately reflect design intent while meeting technical and manufacturing requirements.
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.
Sr. Research Engineer/Scientist(all levels), Efficient Models TikTok IncSr. Research Engineer/Scientist(all levels), Efficient ModelsSan Jose, CAProven experiences in at least one of the following areas: image/video generation and editing; model compression (e.g., quantization, step/cfg distillation); efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO). Develop efficient algorithms and architectures for large-scale generative and multimodal models, using techniques such as step distillation, cfg distillation, quantization, and other methods to improve model efficiency (e.g., image generation, video generation, VLM).
NewMachine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD) TikTok IncMachine Learning Engineer Graduate (E-Commerce Content Recommendation - Generative & Large Recommendation Model) - 2027 Start (PhD)San Jose, CAReframe retrieval as generation: tokenize the item space into semantic IDs (RQ-VAE / SID) and train autoregressive models, grounded in MLLM semantics, to generate what a user wants next - collapsing the traditional "multi-channel retrieval + ranking" funnel into a single generative stage. Use large models real-world knowledge to mine latent user interests and semantic representations beyond what pure ID co-occurrence can express; use reasoning models to run explicit chain-of-thought inference over long-horizon user intent, making the system materially better at discovery and novelty.
Research Engineer/Scientist(all levels), Efficient Models TikTok IncResearch Engineer/Scientist(all levels), Efficient ModelsSan Jose, CAProven experiences in at least one of the following areas: image/video generation and editing; model compression (e.g., quantization, step/cfg distillation); efficient architectures (e.g., MoE, window attention); efficient model design; or reinforcement learning training methods (e.g., RLHF, DPO, GRPO). Develop efficient algorithms and architectures for large-scale generative and multimodal models, using techniques such as step distillation, cfg distillation, quantization, and other methods to improve model efficiency (e.g., image generation, video generation, VLM).
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 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.
ML Scientist, Foundation Models For Life Sciences LILAML Scientist, Foundation Models For Life SciencesSan Francisco, CA$176,000–$304,000 / yearFull-time U.S. employees receive a comprehensive benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter benefits, including bike share memberships for office based employees; and a company subsidized lunch program. LILA combines advanced AI models with proprietary AI Science Factory instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
Machine Learning Engineer - Multimodal Modeling Stand InsuranceMachine Learning Engineer - Multimodal ModelingSan Francisco, California$250,000–$295,000 / yearYou will own modeling work end-to-end, from architecture and training strategy through evaluation and production deployment, and partner closely with the Platform team to ensure the agentic harness and workflows your models plug into deliver strong results in production. Standing up the training-data pipelines, evaluation harnesses, and production monitoring that take these models from prototype to production, collaborating closely with Applied Science infrastructure engineers to build out proper tooling.
Product Designer, AI Models FIGMAProduct Designer, AI ModelsSan Francisco, CA$169,000–$303,000 / yearJob level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off.
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.
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.
Modelling Lead (SystemC / Virtual-Platform Architect) LumilensModelling Lead (SystemC / Virtual-Platform Architect)San Jose, CaliforniaArchitecture/performance models : architectural trade studies, end-to-end datapath throughput and latency, FIFO/buffer sizing, design-space/configuration exploration. A SystemC/TLM-2.0 virtual platform — MCU (ISS-backed) + peripherals + memory map + a UCIe transactor + host stub — that firmware runs on pre-RTL.
Machine Learning: Multimodal Foundation Models The Bot CompanyMachine Learning: Multimodal Foundation ModelsSan Francisco, CaliforniaImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesn't just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints). Ship and Iterate on Real Systems: Integrate models into real robotic stacks, build on robot code to deploy your models, and optimize performance for edge inference.
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.
Senior Software Engineer - Model Performance InferenceSenior Software Engineer - Model PerformanceSan Francisco, California$220,000–$320,000 / yearYour work spans from implementing known optimization techniques to experimenting with novel approaches, always with the goal of serving models faster and cheaper at scale. If you love squeezing every last drop of performance out of GPUs, diving deep into CUDA kernels, and turning optimization techniques into production systems, we'd love to meet 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.
Senior Applied Research Scientist - Foundation Models Ambient.aiSenior Applied 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, and have delivered results for world-class customers including Cisco, ServiceNow, SentinelOne, TikTok, Bayer, and MoMA.
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.
Forward Deployed Engineer - Language Models Artificial AnalysisForward Deployed Engineer - Language ModelsSan Francisco, CaliforniaYou’ll onboard new models to our evaluation pipeline, run and debug benchmarks, and serve as the primary technical point of contact for AI lab customers: explaining results, fielding methodology questions, and resolving endpoint issues in real time. Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.