Principal Model Optimization Engineer Roblox CorpPrincipal Model Optimization EngineerSan Mateo, CA$295,250–$345,040 / yearEvery day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
Senior Software Engineer, Model Serving DataBricksSenior Software Engineer, Model ServingSan Francisco, CA$166,000–$225,000 / yearContribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform.
Staff Software Engineer, Model Serving DataBricksStaff Software Engineer, Model ServingSan Francisco, CA$192,000–$260,000 / yearYou will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. Contribute directly to key components across the serving infrastructure - from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling - ensuring smooth and efficient operations at scale.
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 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Research Intern, Model Shaping Fall 2026 Together Computer IncResearch Intern, Model Shaping Fall 2026San Francisco, CA$58–$63 / hourWe have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancements such as FlashAttention, Mamba, FlexGen, SWARM Parallelism, Mixture of Agents, and RedPajama. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, algorithms, and models.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning NebiusSenior Machine Learning Engineer, Model Training and Reinforcement LearningPalo Alto, California$195,200–$262,200 / yearThey 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.
Member of Technical Staff - Imagine Model SpaceXAIMember of Technical Staff - Imagine ModelPalo Alto, CA$180,000–$440,000 / yearDomain expertise in multimodal applications such as graphics engines, rendering techniques, image/video understanding and generation, world models, real-time simulation, or controllable/long-horizon visual content creation (audio/speech processing or music/audio generation experience is a plus where it supports video). ABOUT THE ROLE: As a multimodal engineer on the Imagine Model Team, you will develop cutting-edge AI experiences beyond text, with a strong focus on enabling high-fidelity understanding and generation across image and video modalities, while also incorporating audio where it enhances visual content (e.g., synchronized audio for video).
Deals Services - Manager, Strategic Finance and FP&A, Advanced Decision Modeling RSM US LLPDeals Services - Manager, Strategic Finance and FP&A, Advanced Decision ModelingSan Francisco, CA$112,100–$225,500 / yearThe salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including, but not limited to, education, skills, work experience, certifications, location, etc. Develops and reviews complex, fully integrated financial models, including operating, cash flow, valuation, and transaction models, to support strategic decision-making.
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.
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.
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.
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.
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.
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.
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.
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.
Workload / Performance Model Lead SiFiveWorkload / Performance Model LeadBerkeley, 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 Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAID Genentech IncAI Scientist/Senior, Clinical & Molecular Genomics Modeling, BRAIDSouth San Francisco, CA$127,500–$236,900 / yearThe new Computational Sciences Center of Excellence (CoE) is a strategic, unified group whose goal is to harness the transformative power of data and Artificial Intelligence (AI) to assist our scientists in both pRED and gRED to deliver more innovative and transformative medicines for patients worldwide. Connect Molecular and Clinical Data: Create models that link heterogeneous molecular and cellular data with clinical outcomes, specifically focusing on prognostic, predictive, and pharmacodynamic biomarkers.
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.
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.
Machine Learning Engineer, Model Quantization, Tesla AI Tesla IncMachine Learning Engineer, Model Quantization, Tesla AIPalo Alto, CA$124,000–$558,000 / yearJoin our AI Team and you'll have: Unparalleled real-world data (tens of billions of miles of driving + robot interactions + digital workflows); One of the largest AI training clusters on Earth; Immediate closed-loop feedback from vehicles, physical robots, and real-time computer interfaces; The ability to ship improvements to millions of customers, robots, and digital agents in weeks, not years. Whether your background is in pushing the limits of ultra-low-bit precision, developing post-training quantization and quantization-aware-training algorithms, or designing model architecture for quantized inference, if you excel at making massive deep learning models run lightning-fast on custom silicon and want to see your research deployed at planetary scale, this role is built for you.
Research Engineer - Brain Computer Interface Models Zyphra TechnologiesResearch Engineer - Brain Computer Interface ModelsSan Francisco, CAThe Role: As a Research Engineer - Brain Computer Interface Models, you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain.
Research Engineer - Brain Computer Interface Models ZyphraResearch Engineer - Brain Computer Interface ModelsSan Francisco, CaliforniaAs a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra’s BCI work, building the next generation of open-source EEG and brain–computer interface models. Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain.
AI Engineer, Model Distillation, Tesla AI Tesla IncAI Engineer, Model Distillation, Tesla AIPalo Alto, CA$124,000–$558,000 / yearYou will work with one of the richest real-world driving, robotics and human-interaction datasets available, spanning vision, language, action, and on-robot telemetry providing a unique environment to study how capability transfers from large teacher models into compact students that must run under strict latency, power, and reliability constraints. Tesla also offers one of the highest GPU resources per engineer in the industry, giving you the computational budget to train frontier-scale teachers, generate high-quality distillation corpora at volume, and iterate on student architectures far beyond typical research environments.
Software Engineer, AI Model Delivery Tesla IncSoftware Engineer, AI Model DeliveryPalo Alto, CA$140,000–$390,000 / yearBeyond speed, our systems are core to 24/7 Optimus model evaluation, reinforcement learning flows, weights installation on Tesla products around the world, driving vehicles autonomously off factory lines, and seamless deployment across countries. Comfortable across many subsystems, cloud, build, device, inference runtime, networking, scope broad asks, solve them optimally in the fast internal loop, then leverage that win in prod across the fleet and around the world.
Member of Technical Staff (Model Behavior) PerplexityMember of Technical Staff (Model Behavior)San Francisco, CaliforniaContext Engineering: Design, test, and optimize the prompts, skills, tools, and memory that shape Perplexity responses across products, features, and use cases. We're 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.
Associate Product Manager, Hive Models HiveAssociate Product Manager, Hive ModelsSan Francisco, CA$90,000–$120,000 / yearAssociate Product Manager, Hive Models Role As an Associate Product Manager on our Hive Models team, you will work cross-functionally with stakeholders to help define product requirements and support implementation efforts, collaborating closely with our Machine Learning, Core Infrastructure, and Product teams. Support our Hive Models portfolio by learning the needs of the product development teams, and contributing to the creation of our deep learning models that provide human-like interpretation of video, image, audio, and text.
Product Manager, Models HiveProduct Manager, ModelsSan Francisco, CA$120,000–$170,000 / yearAs a Product Manager on our Hive Models team, you will work cross-functionally with all stakeholders to define product requirements and see the implementation through to completion, leading development efforts between our Machine Learning, Core Infrastructure, and Product teams. Own our Hive Models portfolio, understanding the needs of the product development teams, and envisioning and executing the creation of our deep learning models that can provide human-like interpretation of video, image, audio and text.
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.
Autonomy Engineer - Deep Learning Model Acceleration SkydioAutonomy Engineer - Deep Learning Model AccelerationSan Mateo, California$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.
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.
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.
Member of Technical Staff (Model Behavior) Perplexity AI IncMember of Technical Staff (Model Behavior)San Francisco, 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.
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.
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.
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.
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.
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.
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.
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 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Principal Research Engineer, Model Training & Post-Training Inflection AI IncPrincipal 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.
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, 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.
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.
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 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.
NewResearcher, 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).
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.
Software Engineer (Model Evaluation & Benchmarking) SpreeAISoftware Engineer (Model Evaluation & Benchmarking)San Francisco, CaliforniaMultimodal generative systems require: benchmarking across visual realism, pose consistency, and identity preservation, automated regression detection across model checkpoints, scalable evaluation pipelines integrated into continuous deployment workflows. You will work at the intersection of applied science, infrastructure, and product — helping define how we measure realism, consistency, and quality across image, video, and multimodal AI systems.