Battery Modeling Engineer ZiplineBattery Modeling EngineerSouth San Francisco, CA$130,000–$165,000 / yearOur customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Senior Systems Modeling Engineer ZiplineSenior Systems Modeling EngineerSan Francisco, CA$145,000–$185,000 / yearContinuously improve model fidelity by comparing predictions against laboratory testing and production flight data, identifying model deficiencies, and deploying validated improvements that increase predictive accuracy across the fleet. Our customers include the world's largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible.
NewPerformance Modeling Engineer EtchedPerformance Modeling EngineerSan Jose, CaliforniaBacked by hundreds of millions from top-tier investors and staffed by leading engineers, Etched is redefining the infrastructure layer for the fastest growing industry in history. Experience profiling and analyzing deep learning workloads on hardware accelerators (GPUs, TPUs, ASICs, FPGAs, or others).
Engagement Manager Credit Modeling Inizio Partners CorpEngagement Manager Credit ModelingSan Francisco, CaliforniaThe ideal candidate will be responsible for leading the development and deployment of machine learning models that power key business decisions such as collections models, credit risk scoring, fraud detection, customer segmentation, and personalized financial services. We are seeking a highly skilled and experienced Machine Learning Modeling Lead to join our ML Model Innovation team within the banking domain (digital lending).
Head of Energy Risk Management and Grid Modeling GoogleHead of Energy Risk Management and Grid ModelingSan Francisco, CAFull timeFrom 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. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Software Engineer III, AI/ML, Image Recommendation Modeling GoogleSoftware Engineer III, AI/ML, Image Recommendation ModelingMountain View, CAFull timeWe'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. As a part of the Ember team, you will help reimagine Google Images, a platform serving over a billion daily interactions, to build a queryless, hyper-personalized feed that fuels creativity worldwide.
Staff AI Engineer, Data Analytics & Modeling - Office Of The CTO Sonatus, IncStaff AI Engineer, Data Analytics & Modeling - Office Of The CTOSunnyvale, CA$188,000–$300,000 / yearThe pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, geographic location and external market pay for comparable jobs. The Opportunity: Sonatus is seeking a highly motivated Staff AI Engineer with expertise in data analytics and modeling to build AI-based software for next-generation AI-driven software-defined vehicles.
Head of Modeling & Simulation, Frontier AI Hardware Sygaldry TechnologiesHead of Modeling & Simulation, Frontier AI HardwareSan Francisco, California$220,000–$325,000 / yearSygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications. Exposure to the simulation environments used by the GPU/XPU supplier, hyperscalers and/or frontier labs for simulation AI workloads on various system and hardware architectures.
Senior Associate, Bess Modeling & Structuring Clearway Energy, Inc.Senior Associate, Bess Modeling & StructuringSan Francisco, CA$115,000–$150,000 / yearAlong with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.6 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.5 GW of conventional dispatchable power generation providing critical grid reliability services. Along with our public affiliate Clearway Energy, Inc., our portfolio comprises approximately 11.8 GW of gross generating capacity in 26 states, including 9.1 GW of wind, solar, and battery energy storage assets, and over 2.8 GW of flexible dispatchable power generation providing critical grid reliability services.
Hardware Architecture Modeling Engineer, PhD, University Graduate GoogleHardware Architecture Modeling Engineer, PhD, University GraduateSunnyvale, CAFrom 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. We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Product Manager, Search Ads Quality Modeling GoogleProduct Manager, Search Ads Quality ModelingMountain View, CAFull timeAdvertisers worldwide use Google Ads to promote their products; publishers use AdSense to serve relevant ads on their website; and business around the world use our products (like Google Shopping, and Google Wallet) to support their online businesses and bring users into their offline stores. As a Product Manager in the Ad Relevance and User Quality team, you will play a key role in building the ML models that are responsible for showing useful ads to users across Google Search and AI Mode.
Sr. Engineer, Research Software & Modeling Infrastructure Ayar Labs IncSr. Engineer, Research Software & Modeling InfrastructureSan Jose, CA$170,000–$192,000 / yearYou''ll own the schemas, pipelines, and shared software that let our modeling stack grow with the product - making simulations faster to run, results easier to trust, and insights transparent to engineering teams and executive stakeholders alike. Backed by industry giants like NVIDIA, AMD, Mediatek and Intel and manufactured in partnership with the world''s leading semiconductor ecosystem, Ayar Labs'' co-packaged optics solution is key to unleashing next-generation AI scale-up architectures.
Performance Modeling Engineer OpenAI LLCPerformance Modeling EngineerSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will work closely with the Performance Modeling Lead and partner teams to analyze system behavior, run simulations or analytical models, and help quantify tradeoffs across compute, memory, networking, and storage.
Principal Architect, Performance Analysis and Modeling d-Matrix CorpPrincipal Architect, Performance Analysis and ModelingSanta Clara, CAExperience with developing analytical performance models, architecture simulators for performance analysis, Research background with publication record in top-tier architecture, or machine learning venues is a huge plus (such as ISCA, MICRO, ASPLOS, HPCA, DAC, MLSys etc.). d-Matrix is seeking outstanding computer architects to help accelerate AI application performance at the intersection of both hardware and software, with particular focus on emerging hardware technologies (such as DIMC, D2D, 3D-DRAM etc.) and emerging workloads (such as generative inference etc.).
Performance Modeling Engineer ~2 OpenAI LLCPerformance Modeling Engineer ~2San Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In this role, you will partner closely with Senior Performance Modeling Engineers and the Performance Modeling Lead to analyze system behavior, run simulations and analytical models, and help evaluate tradeoffs across compute, memory, networking, and storage.
Staff Software Engineer, Applied Research, Foundation User Models GoogleStaff Software Engineer, Applied Research, Foundation User ModelsMountain View, CAFull timeWe'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.
VP, Modeling & Data Science LendingClubVP, Modeling & Data ScienceSan Francisco, California$240,000–$270,000 / yearAs a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems. Extensive hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command of a wide range of advanced data mining and machine learning techniques.
Software Engineer - Hosted Model Infrastructure Palantir Technologies IncSoftware Engineer - Hosted Model InfrastructurePalo Alto, CA$145,000–$200,000 / yearWe deploy AI models to run in variety of environments: air-gapped government networks, forward-deployed defense environments, edge nodes, and enterprises with strict data sovereignty requirements. Debugging complex issues and performance problems throughout the stack, including open source inference engines, container runtimes, and GPU drivers, in environments you cannot always access directly.
Senior Quantum Applied Research Scientist, Physics Modeling NVIDIA CorpSenior Quantum Applied Research Scientist, Physics ModelingSanta Clara, CAWays to stand out from the crowd: Hands-on experience developing simulation frameworks or digital twins of quantum systems and deploying them in calibration or control workflows, with awareness of fidelity, latency, and scalability tradeoffs. Build physics-informed synthetic data generation pipelines that leverage quantum device models, noise channels, and Hamiltonian characterization to produce high-quality datasets.
Senior Staff Machine Learning Engineer - Autonomous Driving Foundation Models XPeng Inc.Senior 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.
Principal Supply Chain Modeling Engineer NVIDIA CorpPrincipal Supply Chain Modeling EngineerSanta Clara, CAMaterial Forecasting: Build deterministic and stochastic models to simulate multi-variable demand scenarios for silicon wafers, memory, substrates, and critical long-lead-time sub-assemblies. What we need to see: Bachelor's degree within Operations Research, Industrial Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, or an equivalent quantitative engineering discipline (or equivalent experience).
Senior Software Engineer - Vehicle Modeling General MotorsSenior Software Engineer - Vehicle ModelingSunnyvale, CA$129,400–$198,400 / yearBenefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).
Aerodynamics Engineer, Modeling and Optimization ArcherAerodynamics Engineer, Modeling and OptimizationSan Jose, CA$140,000–$190,000 / yearArcher is an aerospace company based in San Jose, California building an all-electric vertical takeoff and landing aircraft with a mission to advance the benefits of sustainable air mobility. Our sights are set high and our problems are hard, and we believe that diversity in the workplace is what makes us smarter, drives better insights, and will ultimately lift us all to success.
Machine Learning Engineer - Speech & Multimodal Language Modeling Apple IncMachine Learning Engineer - Speech & Multimodal Language ModelingCupertino, CAWe are looking for a highly skilled Machine Learning Engineer to build and evaluate these experiences, with a specific focus on Multimodal and Speech Language Models. Design and implement processes for evaluating and improving multi-modal generative models to meet end-to-end product requirements.
Staff Modeling & Controls Engineer Form EnergyStaff Modeling & Controls EngineerBerkeley, CAThis team is part of our broader Hardware & Systems Engineering Org and interfaces with multiple engineering disciplines, which will give you the opportunity to work on a diverse set of engineering problems ranging from air handling to thermal management and fluid systems. We have signed contracts with leading electric utilities across the United States and production of our iron-air batteries is underway at our first high-volume manufacturing facility in West Virginia.
Sr. Software Engineer, Model Scaling, AI Infrastructure Tesla IncSr. Software Engineer, Model Scaling, AI InfrastructurePalo Alto, CA$176,000–$558,000 / yearYou will help build and optimize large-scale training systems running on thousands of GPUs while developing the tools, metrics, and workflows needed to make model scaling faster and more predictable. Drive improvements in model scaling efficiency, including larger models, longer context lengths, and higher-quality datasets.
Research Engineer - Audio & Speech Models Zyphra TechnologiesResearch Engineer - Audio & Speech ModelsSan Francisco, CAThe Role: As a Research Engineer - Audio & Speech Models, you will be a core contributor on Zyphra's Audio Team, building the next generation of open-source autoencoders, ASR, TTS, SSL, and speech-to-speech models. Qualifications / Additional Skills: Expertise and intuition for training models in the audio domain, including text-to-speech, ASR, speech-to-speech, speech-emotion-recognition, or other models.
ML Research Scientist - Quantum Accelerated Generative Models Sygaldry TechnologiesML Research Scientist - Quantum Accelerated Generative ModelsSan Francisco, CaliforniaYou'll identify where quantum approaches can provide genuine advantage in generative workflows—not incremental improvements, but structural speedups rooted in the mathematics of these models. Sygaldry AI servers combine multiple qubit types within a single, fault-tolerant architecture to deliver the combination of cost, scale, and speed necessary for advanced AI applications.
Member of Technical Staff, Core Model Engineering OdysseyMember of Technical Staff, Core Model EngineeringPalo Alto, CaliforniaThey’ve now brought together a world-class research team from DeepMind, Tesla, Waymo, Meta, Apple, and Wayve, who have made significant contributions to language models (DeepMind Gemini), video models (DeepMind Veo), world models (Wayve GAIA), and autonomous systems (Tesla FSD). Odyssey has raised significant venture capital from GV, Amazon, AMD, EQT, NVIDIA, Natural Capital, In-Q-Tel, Elad Gil, Jeff Dean, Guillermo Rauch, Garry Tan, Kyle Vogt, and researchers from OpenAI, DeepMind, MSL, Recursive, and Thinking Machines.
Research Scientist - World-Action Foundation Model, Robotics Applied IntuitionResearch Scientist - World-Action Foundation Model, RoboticsSunnyvale, CaliforniaSupported by industry-leading tools and infra, researchers can access millions of miles of data from large fleets, and deploy methods they develop into various autonomous and robotic systems including self-driving cars/trucks, autonomous mining/construction machines, humanoid robots and dexterous hands. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.
Research Scientist/Engineer, Neural Graphics and World Models Graduate (TikTok Engine & Tools) - 2027 Start (PhD) TikTok IncResearch Scientist/Engineer, Neural Graphics and World Models Graduate (TikTok Engine & Tools) - 2027 Start (PhD)San Jose, CADeep experience in at least one of the following AI-for-graphics areas: 3D modeling, asset generation, or 3D representations; animation or motion generation; simulation or physics-aware learning; rendering or neural rendering; world models or video prediction; or graphics and game-engine workflows. Familiarity with modern generative architectures and training methods such as variational autoencoders, latent tokenizers, diffusion or flow-matching models, diffusion transformers, autoregressive models, multimodal transformers, long-context modeling, pre-training, or post-training.
Product Manager, Model Gateway MercorProduct Manager, Model GatewaySan Francisco, CaliforniaOwn the LLM gateway end-to-end : Set the roadmap and policy for the shared layer that routes every product surface to the models it depends on, from priority queueing to cost attribution to model access, and own its lifecycle from conception through execution. You'll own this product area with significant autonomy, working directly with an infrastructure team that owns the underlying shared services and with leadership to turn ambiguous, cross-cutting tradeoffs into durable systems and clear policy.
Research Scientist Intern (TikTok-Neural Graphics and World Models) - 2027 Start (PhD) TikTok IncResearch Scientist Intern (TikTok-Neural Graphics and World Models) - 2027 Start (PhD)San Jose, CADeep experience in at least one of the following AI-for-graphics areas: 3D modeling, asset generation, or 3D representations; animation or motion generation; simulation or physics-aware learning; rendering or neural rendering; world models or video prediction; or graphics and game-engine workflows. Familiarity with modern generative architectures and training methods such as variational autoencoders, latent tokenizers, diffusion or flow-matching models, diffusion transformers, autoregressive models, multimodal transformers, long-context modeling, pre-training, or post-training.
ML Scientist I / II, Foundation Models for Life Sciences Lila Sciences IncML Scientist I / II, 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. You will work on generative models spanning biological sequences, molecular structures, and multimodal experimental data, contributing to problem formulation, model design, training, evaluation, and integration into Lila''s closed-loop discovery engine.
Research Engineer / Research Scientist - Personal AGI, Personality and Model Behavior OpenAI LLCResearch Engineer / Research Scientist - Personal AGI, Personality and Model BehaviorSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. Were looking for individuals with strong ML engineering skills and research experience, especially with novel and highly capable models, and in areas like reinforcement learning and reward modeling.
Machine Learning: Multimodal Foundation Models The Bot CoMachine Learning: Multimodal Foundation ModelsSan Francisco, CAImprove Cross-Modal Reasoning: Research and implement methods to ensure the model doesnt just "associate" modalities but actually reasons through them (e.g., grounding visual physics in kinematic constraints).Own the Training Loop End-to-End: Design, run, debug, and iterate on large-scale training experiments; diagnosing failure modes, improving data mixtures, and tightening evaluation to drive measurable gains. 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.
Research Engineer/Research Scientist, Personal AGI-Model Experience OpenAI LLCResearch Engineer/Research Scientist, Personal AGI-Model ExperienceSan Francisco, CAFor unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
AI Systems, Model Optimization Unconventional AIAI Systems, Model OptimizationPalo Alto, CASystems Fluency: Demonstrated ability to map state-of-the-art AI model architectures (e.g., Transformers, Mixture of Experts, diffusion models) to system performance implications and apply advanced efficiency techniques such as sparsity, quantization, and distillation. Cross-Functional Collaboration: Act as a translator between AI model architects and hardware/infrastructure engineering teams, converting model requirements into concrete specifications and codifying learnings for tapeouts.
Member of Technical Staff - Language & Reasoning Models Unconventional AIMember of Technical Staff - Language & Reasoning ModelsPalo Alto, CAModel Development: Design, train, and scale next-generation language and reasoning architectures (such as transformers, state space models, diffusion/flow models, and deep equilibrium models) specifically tailored for unconventional compute. Evaluation & Scaling: Establish the training recipes, loss functions, and evaluation metrics needed to reach the frontier of language comprehension, logical reasoning, and generation speed while maintaining the massive energy efficiency of our platform.
Technical Program Manager, Model Alignment and Deployment Character AITechnical Program Manager, Model Alignment and DeploymentRedwood City, CATogether, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products-working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving.
Senior Machine Learning Scientist, Multimodal & Relational Foundation Models Altos Labs IncSenior Machine Learning Scientist, Multimodal & Relational Foundation ModelsSan Francisco, CA$270,600–$330,000 / yearArchitect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs. • Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.
Model Engineer - Member of Technical Staff MeterModel Engineer - Member of Technical StaffSan Francisco, CaliforniaEnd-to-end ownership : You'll ship models into production networks, collaborate with firmware and application teams sitting next to you, and rapidly iterate in the wild. Now, we’re assembling a founding core engineering team to build and train models that understand these systems, optimize operations, anticipate failures, and repair issues before humans even notice them.
Researcher, World Models MenloResearcher, World ModelsSan Francisco, CaliforniaConversant, ideally deep, in several of: SSL for visual and sensor representations; world models (JEPA, V-JEPA, I-JEPA, LeJEPA, MJEPA); generative and predictive architectures (diffusion, DiT, flow matching, VAEs); robotics ML (VLA, inverse dynamics, sim-to-real, optical flow); sensor fusion (vision, proprioception, force/torque, multi-modal encoders); PyTorch, JAX, and distributed training. Advance our self-supervised learning stack for visual and sensor representations, building on and extending the JEPA family (V-JEPA, I-JEPA, and related predictive-embedding approaches).
Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles NVIDIA CorpSenior Perception Engineer, Obstacle Foundation Models - Autonomous VehiclesSanta Clara, CAHands-on experience architecting and deploying DNN-based perception pipelines on embedded or real-time platforms, including optimization for latency, memory, and compute constraints, and experience with modern architectures such as CNNs and transformers, plus familiarity with techniques like large-scale pretraining, parameter-efficient fine-tuning (e.g., LoRA), or vision-language models (VLMs). Contribute to the data strategy for perception: specify data and labeling requirements, help prioritize data collection and annotation, and collaborate with data and ground-truth teams, including model-assisted workflows (e.g., active learning, auto-labeling, vision-language models (VLMs)) and model-in-the-loop tooling.
Senior Vision Language Model Engineer NVIDIA CorpSenior Vision Language Model EngineerSanta Clara, CAFluent with agentic AI workflows across the full applied research lifecycle, including prototyping novel algorithms and search pipelines, benchmarking, and integrating prototypes in production codebases. Excellent experience training and deploying deep learning models on real‑world datasets: data preprocessing, distributed training, evaluation, debugging, and iterative improvement.
Lead Machine Learning Engineer - Agentic Models, Llm, Rag, Genai Eightfold, Inc.Lead Machine Learning Engineer - Agentic Models, Llm, Rag, GenaiSanta Clara, CAOur platform is built from the ground up, operating at scale across Azure and AWS, deployed in multiple regions globally, including IL4-compliant environments for the US Government, supporting users in 100+ countries and 30+ languages. Today, Eightfold is at the forefront of agentic AI, delivering intelligent agents that actively drive outcomes across hiring and talent workflows, while much of the industry is still experimenting with prototypes.
Technical Program Manager, Model Alignment And Deployment Character AITechnical Program Manager, Model Alignment And DeploymentRedwood City, CATogether, these groups are responsible for transforming powerful pretrained language models into intelligent, engaging, safely aligned, and highly scalable products-working across data, compute, algorithms, infrastructure, and user insights to improve model performance and ensure reliable delivery. Program ownership: Lead planning and execution of cross-functional programs spanning data collection, annotation pipelines, alignment workflows (RLHF, DPO, Constitutional AI), safety guardrails (adversarial testing, red-teaming), and model serving.
Machine Learning Infrastructure Engineer, Model Inference AbridgeMachine Learning Infrastructure Engineer, Model InferenceSan Francisco, CaliforniaAs an ML Infrastructure Engineer, Model Inference at Abridge, you’ll play a pivotal role in building and optimizing the core inference infrastructure that powers our machine learning models. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output.
Primary Care Physician, Care Model Innovation - San Francisco, CA TiaPrimary Care Physician, Care Model Innovation - San Francisco, CASan Francisco, CA$250,000–$300,000 / yearDuring your protected innovation time, you may help design clinical protocols, improve patient care journeys, develop provider tools and workflows, evaluate new services, and translate clinical evidence into scalable care models. By integrating primary care, mental health, gynecology, dermatology, and wellness across both in-person and virtual settings, Tia is improving outcomes, lowering costs, and creating a better experience for patients and providers alike.
AI/ML Engineer - Model Inference GMAI/ML Engineer - Model InferenceSunnyvale, CaliforniaThe 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.