Autonomy Engineer - Deep Learning Model Acceleration Skydio, Inc.Autonomy Engineer - Deep Learning Model AccelerationSan Mateo, CA$170,000–$277,500 / yearThe Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders, soldiers in battlefield scenarios, and beyond. If you are excited about leveraging massive amounts of structured video data to solve problems in Computer Vision (CV) such as object detection and tracking, optical flow estimation and segmentation, we would love to hear from you.
Vision Language Model Engineer EchoTwin AIVision Language Model EngineerSan Francisco, CaliforniaThere are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more! Powered by a proprietary visual intelligence engine with full spatial reasoning, EchoTwin transforms municipal fleets into mobile urban sensors—creating living digital twins that provide real-time insights into infrastructure, compliance, and safety.
Technical AI Policy Researcher, Model Behaviour - Trust and Safety TikTok IncTechnical AI Policy Researcher, Model Behaviour - Trust and SafetySan Francisco, CADesign end-to-end policy development to pre-launch evaluation to post-launch monitoring workflows across safety-relevant domains, including golden set construction, labeling guidance, calibration, adjudication, and eval coverage analysis, to ensure policies can be reliably measured and improved. We work closely with Trust & Safety teams (product policy, product, engineering, data science, operations, red teaming), business and model teams, and cross-functional stakeholders (comms, legal, public policy) across global markets.
Principal Research Engineer, Model Training & Post-Training Inflection AIPrincipal Research Engineer, Model Training & Post-TrainingPalo Alto, CA$400,000–$550,000 / yearLead training and post-training strategy, including supervised fine-tuning, RLHF, DPO, GRPO, RLAIF, reward modeling, preference optimization, tool-use fine-tuning, distillation, synthetic data, and related methods. Inflection's models are central to our product and platform strategy, and we are looking for a hands-on technical leader to own the model-improvement loop from data and training through evals, post-training, release criteria, and production feedback.
CW Research on Large Vehicle Data Model - Summer Intern (99W210) KYYBA, IncCW Research on Large Vehicle Data Model - Summer Intern (99W210)Mountain View, CAFounded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere.
Director, Foundation Model Data Recipes Waymo LLCDirector, Foundation Model Data RecipesMountain View, CA$349,000–$431,000 / 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. Demonstration of original contributions to the field through high-impact publications (ArXiv, peer-reviewed conferences like NeurIPS/ICLR/CVPR), technical blog posts, or significant open-source contributions.
Senior Data Engineer- Large Driving Model, Autonomy RivianSenior Data Engineer- Large Driving Model, AutonomyPalo Alto, California$179,000–$223,800 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Senior Machine Learning Engineer - Large Driving Model (Behavioral Alignment) RivianSenior Machine Learning Engineer - Large Driving Model (Behavioral Alignment)Palo Alto, California$179,000–$223,800 / yearFull timeRivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning NebiusSenior Machine Learning Engineer, Model Training and Reinforcement LearningPalo Alto, CaliforniaThey can translate an ambiguous capability goal into concrete experiments, implement and debug training and RL recipes, build the supporting data and systems, and deliver measurable improvements in model quality, experiment throughput, and reliability. Design and run model-training and post-training experiments, including SFT, continued pretraining, preference optimization (DPO/IPO/KTO), and RL methods such as RLHF/RLAIF, PPO, and GRPO.
Research Intern - World-Action Model / VLA for Autonomous Driving Robert Bosch GmbHResearch Intern - World-Action Model / VLA for Autonomous DrivingSunnyvale, CA$39–$66 / hourThe 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. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design.
Foundation Model Data, Software Engineer Waymo LLCFoundation Model Data, Software EngineerMountain View, CA$213,000–$263,000 / 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.
Principal Data Scientist - AI Foundations, Specialist Models Capital One Financial CorpPrincipal Data Scientist - AI Foundations, Specialist ModelsSan Jose, CA$161,800–$184,600 / yearBasic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
Senior Manager, Data Science - AI Foundations, Specialist Models Capital One Financial CorpSenior Manager, Data Science - AI Foundations, Specialist ModelsSan Jose, CA$229,900–$262,400 / yearBasic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
ML Engineer - Healthcare Data Curation & Model Workflows Stanford UniversityML Engineer - Healthcare Data Curation & Model WorkflowsStanford, CA$122,929–$145,389 / yearWORKING CONDITIONS: May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. Perform supervisory duties, including overseeing the work of technicians and other staff associated with the group/project, supervising the regular installation, maintenance, and operation of complex scientific or engineering projects, and training technicians, operators, and others working in particular scientific or engineering function area.
Workload / Performance Model Lead SiFiveWorkload / Performance Model LeadSanta Clara, CA$231,444–$282,876 / yearSiFive's unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. Any offer of employment for this position is also contingent on the Company verifying that you are a authorized for access to export-controlled technology under applicable export control laws or, if you are not already authorized, our ability to successfully obtain any necessary export license(s) or other approvals.
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.
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.
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.
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.
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.
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.
Sr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTM Amazon.com IncSr. Worldwide Specialist - GenAI, Foundation Models, Data & AI GTMSan Francisco, CAThis involves activities such as market sizing, building an opportunity pipeline, working with customers to understand technical requirements for proof-of-concepts, creating content to train the field teams, driving industry thought-leadership, working with product teams to define new features, and identifying partners and potential acquisitions. You will need to be adept at interacting, communicating, and partnering with teams within AWS (product, solutions architecture, sales, marketing, and professional services) and externally with customers, partners, and importantly, the developer community of ML Frameworks and key open-source offerings.
Engineering Manager, Model Flywheel OpenAIEngineering Manager, Model FlywheelSan Francisco, CaliforniaFor 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. The ChatGPT Model Flywheel team unified goal is to transform model advancements into great ChatGPT user experiences through reliable serving, rapid experimentation, safe deployment, and continuous improvement.
Software Engineer, Productivity - Model Performance OpenAISoftware Engineer, Productivity - Model PerformanceSan Francisco, CaliforniaFor 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.
Senior AI Infrastructure Engineer - Model Training KodiakSenior AI Infrastructure Engineer - Model TrainingMountain View, CA$190,000–$260,000 / 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. Experience building high-performance data pipelines for large-scale training, including streaming dataset formats (WebDataset, MosaicML Streaming/MDS, or similar), sharding, and storage/network-aware loading.
Model Policy, Chemical & Biological Risk OpenAIModel Policy, Chemical & Biological RiskSan Francisco, CaliforniaFor 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. Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, a private outdoor space for working in the sun or socializing, nap rooms, private bike storage, and more.
Member of Technical Staff, Model Evaluation InceptionMember of Technical Staff, Model EvaluationSan MateoInception was co-founded by Stanford professor Stefano Ermon , who co-invented such breakthrough AI technologies as diffusion models, flash attention, and DPO, UCLA professor Aditya Grover , who co-invented node2vec, decision transformers, and d1 reasoning, and Cornell professor and Afresh co-founder Volodymyr Kuleshov , who co-invented MDLM and Block Diffusion. Based in Palo Alto, CA, we are backed by top-tier venture capitalists, including Menlo Ventures, Mayfield, M12 (Microsoft’s venture fund), Snowflake Ventures, Databricks, and Innovation Endeavors, and by tech luminaries such as Andrew Ng, Andrej Karpathy, and Eric Schmidt.
Bilingual Language Model Evaluator MercorBilingual Language Model EvaluatorSan Francisco, CaliforniaRemote$15–$20 / hourGenerate high-quality human evaluation data by identifying response strengths, areas for improvement, and factual inaccuracies. For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome.
Data Scientist - Model Optimization QuadricData Scientist - Model OptimizationBurlingame, CAQuadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Software Engineer - Model & Partnerships Management (Agentic Builders Experience team) ADOBE IncSoftware Engineer - Model & Partnerships Management (Agentic Builders Experience team)San Jose, CA$177,900–$257,550 / yearAdobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Machine Learning: World Models The Bot CoMachine Learning: World ModelsSan Francisco, CAOwn 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. Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations.
Hunyuan AIGC Algorithm Researcher (World Model Foundation Direction) TencentHunyuan AIGC Algorithm Researcher (World Model Foundation Direction)Palo Alto, CaliforniaAs 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.
Engineering Manager, Foundation Model Inference (Fmapi) DataBricksEngineering Manager, Foundation Model Inference (Fmapi)San Francisco, CA$190,000–$261,250 / yearMore than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Strong technical judgment in distributed systems, platform infrastructure, AI/ML infrastructure, or large-scale backend services, with the ability to maintain quality even in areas you have not worked on personally.
Software Engineer — Model & Partnerships Management (Agentic Builders Experience team) AdobeSoftware Engineer — Model & Partnerships Management (Agentic Builders Experience team)San Jose, CaliforniaAdobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. In California, the pay range for this position is $177,900 - $257,550 At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.
Engineering Manager, AI Models Infrastructure IntercomEngineering Manager, AI Models InfrastructureDublin, CAFounded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Fin can also be combined with our Helpdesk to become a complete solution called the Fin Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Data selection and quality evaluation for biological foundation models InceptiveData selection and quality evaluation for biological foundation modelsPalo Alto, CaliforniaOur team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming antedisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields. We approach our goals with a Beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.
Staff Software Engineer- Foundation Model Inference DataBricksStaff Software Engineer- Foundation Model InferenceSan Francisco, CA$190,000–$265,000 / yearThe impact you will have: Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama). More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.
NewMember of Technical Staff (Model Behavior) Perplexity AI IncMember of Technical Staff (Model Behavior)Palo Alto, CAContext Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. Were hiring software engineers for the Model Behavior team to help shape how Perplexity's AI products behave: the style of their responses, and the way they use tools, skills, and memory.
Staff Software Engineer, Foundational Model Serving DataBricksStaff Software Engineer, Foundational Model ServingSan Francisco, CA$192,000–$260,000 / yearWe're looking for engineers who have owned high scale operational sensitive systems like customer facing APIs, Edge Gateways, ML Inference, or similar services and have an interest in getting deep building LLM APIs and runtimes at scale. Contribute directly to key components across the serving infrastructure - from working in systems like vLLM and SGLang to creating token based rate limiters and optimizers - ensuring smooth and efficient operations at scale.
Lead Software Engineer, Model Serving Platform SciforiumLead Software Engineer, Model Serving PlatformSan Francisco, CaliforniaBacked by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications. Experience with ML systems engineering, distributed GPU scheduling, open source inference engine like vLLM, Sglang, or TRT-LLM.
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.
NewResearch Scientist - Vision Foundation Models Epsilon LabsResearch Scientist - Vision Foundation ModelsSan Francisco, CaliforniaDrive research and technical excellence through conference publications and technical blog posts, establishing best practices for training robust medical imaging models at scale. This role focuses on pretraining and scaling vision encoders for radiology diagnosis across X-ray, CT, and MRI, with a growing emphasis on 3D volumetric modeling.
Scientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation Models Altos LabsScientist /Senior Scientist, Multimodal & Relational Machine Learning Foundation ModelsSan Francisco, CA$200,900–$257,500 / 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.
ML Engineer, Apple Foundation Models AppleML Engineer, Apple Foundation ModelsCupertino, CAMinimum Qualifications** + Demonstrated expertise in LLM or Multi-modal LLM 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 environment + Ph. You will work closely with researchers, engineers, and product teams to identify capability gaps, design data-centric solutions, and create high-quality training signals for reasoning, agentic behavior, multimodal understanding, tool use, and alignment.
LLM Machine Learning Engineer, Models and Agent Science, AIML Apple IncLLM Machine Learning Engineer, Models and Agent Science, AIMLCupertino, CASuccessful candidates will bring a strong software engineering background, hands-on zero-to-one machine learning development experience, and broad expertise in post-training machine learning models (including quality and performance optimization).Proven ability to define goals and deliver results amid uncertainty and real-world constraints in AI product development Ability to read, evaluate, and reproduce recent research and assess its practical viability under real-world constraints Experience optimizing or post-training large language models (LLMs), developing interpretability or stress-testing algorithms, steering model behavior, or building agent harnesses Strong Python and UNIX skills and a demonstrated ability to use agentic coding tools in these environments History of applied research in neural network optimization, model training, or a related area Proven track record of driving scientific investigations and experiments while overcoming obstacles and uncertainty in a research environment BS and 5+ years of experience, MS and 3+ years of experience, or PhD and 1+ year of experiencePhD in a related field Publication record at top AI/ML venues Experience with post-training LLMs and network optimization algorithms, as well as interpretability or steering techniques for LLMs Experience of working with large-scale compute infrastructure Experience shipping a real world product, project or feature Experimental rigor and ablation design when benchmarking LLM optimizations Strong communication and accountability skills, with a collaborative mindset and strong work ethic. You will join a collaborative team of software developers and deep learning experts focused on large language modeling, optimization, interpretability, and related algorithms.
Senior Staff Software Engineer, AI Model Lifecycle Crusoe EnergySenior Staff Software Engineer, AI Model LifecycleSan Francisco, CA$237,600–$318,240 / yearAbout This Role: The Senior Staff Software Engineer for the AI Model Lifecycle team will play a crucial role in building a comprehensive managed platform for the entire application development lifecycle, with a specific focus on leveraging Machine Learning models, including Large Language Models (LLMs). We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
Sr. Data Engineer - Ontology & Semantic Modeling SoundThinking IncSr. Data Engineer - Ontology & Semantic ModelingFremont, CAData Engineer (Ontology & Semantic Modeling) to design scalable data pipelines, contribute to an ontology-driven semantic layer, and help improve database schema and performance across our platform. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.\n \nSoundThinking expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.