Model Architecture Researcher

Join Cartesia as a Model Architecture ResearcherAt Cartesia, our vision is to revolutionize AI by creating interactive intelligence that is seamlessly integrated into your daily life. Unlike current models, our goal is to develop systems capable of processing extensive streams of audio, video, and text—1 billion text tokens, 10 billion audio tokens, and 1 tr…

About Andromeda Cluster Andromeda Cluster was founded by Nat Friedman and Daniel Gross to give early-stage startups access to advanced AI infrastructure that was once limited to hyperscalers. The company began with a single managed cluster, which quickly filled, and has since focused on building the systems, networking, and orchestration layers that make global AI resources more accessible. Today, Andromeda works with leading AI labs, data centers, and cloud providers to deliver compute resources wherever and whenever they are needed. The platform routes training and inference workloads across a worldwide supply chain, aiming for greater flexibility and efficiency in the fast-growing AI sector. Looking ahead, Andromeda’s goal is to create a liquidity layer for global AI computing. The team is expanding and seeking experts in AI infrastructure, research, and engineering to help shape this vision. Role Overview: Strategic Compute Finance Lead The Strategic Compute Finance Lead will guide financial strategy, modeling, and deal execution for Andromeda’s global compute portfolio. This position combines infrastructure finance with commercial execution, focusing on the frameworks needed to acquire, finance, and deploy GPU computing resources at scale. Key areas include capital expenditure planning, scenario modeling, deal structuring, and building relationships with lenders. The role centers on financial modeling and deal execution, not trading or capital markets. Andromeda is looking for someone who enjoys building new processes from scratch, rather than stepping into established systems. What You’ll Do Lead financial planning and performance management for the GPU cluster portfolio, including NPV/IRR modeling, scenario analysis, and ROI evaluation for procurement choices. Design and own the financial structure of major infrastructure deals, modeling time-value-of-money trade-offs for long-term contracts and decisions between building, leasing, or routing compute resources. Serve as the main contact for lenders and debt partners, handling covenant reporting, draw schedules, and ongoing lender communications. Location This role is open to candidates globally (remote) or based in San Francisco, CA.

Join Crusoe as a Senior Systems Performance Engineer, where you will play a crucial role in optimizing and enhancing our systems for superior performance. You will be responsible for diagnosing performance bottlenecks, implementing solutions, and ensuring that our infrastructure can scale efficiently. Work in a dynamic environment that encourages innovation and professional growth.

AI Financial Modeling Extern — F2 AILocation: San Francisco, CA / In-Person or RemoteCommitment: 5+ hours per week | 4 - 12+ weeksCompensation: $50/hrAbout F2 AIAt F2 AI, we are revolutionizing private market investments. Our cutting-edge AI technology streamlines the process of analyzing complex, unstructured deal materials, transforming them into actionable, investment-grade insights in mere minutes. By empowering private credit funds, commercial banks, and private equity firms, we enable faster and more confident capital deployment. Supported by top-tier investors such as NFX and Y Combinator, we are committed to expanding our exceptional product and engineering teams, shaping the future of vertical AI for finance.Role OverviewWe are on the lookout for 1–2 exceptional externs with a strong foundation in Investment Banking or Private Equity to contribute to the development of AI-driven financial modeling on the F2 platform.In this role, you will collaborate closely with our Engineering, Product, and Design (EPD) teams in the San Francisco office to translate institutional-level financial modeling standards into automated, intelligent workflows. This hands-on experience will allow you to shape the future of AI in financial modeling.Key ResponsibilitiesEducate F2 agents on best practices for financial modeling.Create and standardize financial modeling templates optimized for AI execution using a first principles approach.Establish formatting, structure, and best practices that align with institutional modeling standards.Conduct rigorous quality assurance on AI-generated outputs to guarantee precision that meets investor expectations.Test edge cases and assist in identifying potential failures in automated modeling workflows.Ideal Candidate ProfilePossess prior experience in Investment Banking, Private Credit, or Private Equity with extensive exposure to financial modeling.Demonstrated ability to build and audit complex 3-statement, LBO, or credit models from the ground up.Strong understanding of model hygiene, structure, and institutional formatting standards.Critical thinker who enjoys analyzing model logic and stress-testing systems.Passionate about leveraging AI to enhance financial workflows.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future.At SoFi, we are transforming how individuals engage with their personal finances. As a next-generation financial services company and national bank, we leverage cutting-edge, mobile-first technology to empower millions of members in achieving their financial goals. Amidst significant industry changes, we are proud to lead the way and positively impact lives through our core values. Become a part of our journey to invest in yourself, your career, and the financial landscape.The Role:We are looking for a Fraud Model Developer to join our Lending Business Insights and Data Science team. This role will involve collaborating closely with SoFi’s Product, Engineering, and Finance teams.The successful candidate will work to enhance our application funnels through experimentation, analyze product usage across various member segments, and facilitate data-driven strategic decision-making. We are seeking an individual who is innovative, hands-on, possesses a strong sense of ownership, and is dedicated to delivering results while also mentoring and developing team members. We value a commitment to continuous learning and growth.

About UsAt Lemurian Labs, we are dedicated to democratizing AI technology while prioritizing sustainability. Our mission is to create solutions that minimize environmental impact, ensuring that artificial intelligence serves humanity positively. We are committed to responsible innovation and the sustainable growth of AI.We are in the process of developing a state-of-the-art, portable compiler that empowers developers to 'build once, deploy anywhere.' This technology ensures seamless cross-platform integration, allowing for model training in the cloud and deployment at the edge, all while maximizing resource efficiency and scalability.If you are passionate about scaling AI sustainably and are eager to make AI development more powerful and accessible, we invite you to join our team at Lemurian Labs. Together, we can build a future that is innovative and responsible.The RoleWe are seeking a Senior ML Performance Engineer to take charge of designing and leading our Performance Testing Platform from inception. In this pivotal role, you will be recognized as the technical expert in measuring, validating, and enhancing the performance of large language models (including Llama 3.2 70B, DeepSeek, and others) prior to and following compiler optimization on cutting-edge GPU architectures.This is a critical position that will significantly impact our product quality and customer success. You will work at the intersection of Machine Learning systems, GPU architecture, and performance engineering, constructing the infrastructure that substantiates the value of our compiler.

Join CoreWeave: The Essential Cloud for AI™At CoreWeave, we empower innovators to build and scale AI confidently. Our platform, crafted by pioneers for pioneers, is trusted by top AI labs, startups, and global enterprises. With superior infrastructure performance and deep technical expertise, we accelerate breakthroughs and transform compute into capability. Since our inception in 2017, we've grown to become a publicly traded company (Nasdaq: CRWV) by March 2025. Discover more at www.coreweave.com.Role Overview:As a Senior Marketing Performance Analyst, you will be pivotal in architecting our measurement strategy. Your role transcends mere reporting; you will uncover insights that define the 'why' and 'what's next' for our marketing initiatives. Collaborating with Growth, Events, and Operations teams, you will develop and enhance a cohesive metrics framework tracking the buyer's journey from the initial digital interaction to closed-won deals. Your mission is to ensure that every dollar spent on events and digital tactics is quantifiable and optimized in alignment with our long-term revenue objectives.Key Responsibilities:Metrics Framework & Taxonomy: Collaborate with Marketing Operations, Growth, and Demand Generation teams to establish KPIs, performance frameworks, reporting hierarchies, and custom attribution models to assess marketing impact.Goal Setting & Forecasting: Spearhead the annual and quarterly target-setting process, utilizing historical conversion data to create 'reverse funnel' forecast models that clarify required traffic and lead volumes to achieve sales targets.End-to-End Analysis: Evaluate the performance of integrated campaigns, comparing the high-touch ROI of field events with the efficiency of digital channels (SEM, Paid Social, Content Syndication).Insight Synthesis: Go beyond dashboards to craft executive-level narratives. Present weekly updates and monthly/quarterly business reviews to Marketing and Sales leadership.

Role OverviewAt Mariana Minerals, we are on a mission to revolutionize refining processes for critical minerals, playing a pivotal role in the global energy transition. We are in search of a dynamic and driven Process Modeling Engineer who will be integral to this endeavor.In this position, you will take charge of developing, validating, and optimizing heat and material balance models utilizing advanced software such as ASPEN Plus/HYSYS, SysCAD, OLI Studio, or METSIM. You will collaborate closely with R&D, pilot operations, and project execution teams to transform lab and pilot data into robust, scalable process models that are essential for the design of groundbreaking mineral refining facilities.Key ResponsibilitiesCreate both steady-state and dynamic process models to determine heat and material balances for integrated mineral refinery systems using ASPEN, SysCAD, OLI, or METSIM.Automate the sizing of equipment and processes (including reactors, heat exchangers, filters, crystallizers, evaporators, and separators) based on model outputs, linking models to datasheets and other engineering tools.Develop and maintain comprehensive process simulation databases to ensure consistency and traceability among modeling assumptions, test data, and engineering outputs.Calibrate and reconcile models using operational data from pilot plants to ensure model accuracy and predictive validity.Conduct optimization studies to enhance energy recovery, recycling strategies, and material efficiency.Develop dynamic models for validating PLC and DCS programming while assessing buffer sizing throughout the design process.Integrate process models with CAPEX and OPEX estimation tools to streamline techno-economic model development.Document modeling methodologies and results, ensuring clear technical communication for design reviews, techno-economic assessments, and regulatory submissions.

Zyphra is a cutting-edge artificial intelligence firm headquartered in the vibrant city of San Francisco, California.Position Overview:As a Research Scientist specializing in Model Architectures, you will play a pivotal role in Zyphra’s AI Architecture Research Team. Your responsibilities will include the design and thorough evaluation of innovative model architectures and training methodologies aimed at enhancing essential modeling capabilities (e.g., loss per flop or loss per parameter) and tackling core limitations inherent in current models. You will collaborate closely with our pre-training team to ensure that your findings are seamlessly integrated into our next-generation models.Qualifications:A strong research acumen and intuition.Proven ability to navigate research projects from initial conception to execution and final write-up.Exceptional implementation and prototyping skills, with the capability to swiftly transform ideas into experimental outcomes.A collaborative spirit and the ability to thrive in a fast-paced research environment.A deep curiosity and enthusiasm for understanding intelligence.Requirements:Experience with long-term memory, RAG/retrieval systems, dynamic/adaptive computation, and alternative credit assignment strategies.Knowledge of reinforcement learning, control theory, and signal processing techniques.A passion for exploring and critically evaluating unconventional ideas, with the ability to maintain a unique perspective.Familiarity with modern training pipelines and the hardware necessities for designing efficient architectures compatible with GPU hardware.Strong understanding of experimental methodologies for conducting rigorous ablations and hypothesis testing.High proficiency in PyTorch and Python programming.Ability to quickly assimilate into large pre-existing codebases and contribute effectively.Prior publication of machine learning research in reputable venues.Postgraduate degree in a scientific discipline (e.g., Computer Science, Electrical Engineering, Mathematics, Physics).Why Join Zyphra?We emphasize a structured research methodology that systematically addresses ambitious challenges in AI.

ABOUT BASETENAt Baseten, we are at the forefront of AI innovation, providing critical inference solutions for leading AI companies like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. Our platform combines advanced AI research, adaptable infrastructure, and intuitive developer tools, empowering organizations to deploy state-of-the-art models effectively. With rapid growth and a recent $300M Series E funding round backed by top-tier investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we invite you to join our mission in building the platform of choice for engineers delivering AI products.THE ROLE:As a member of Baseten’s Model Performance (MP) team, you will play a pivotal role in ensuring our platform’s model APIs are not only fast and reliable but also cost-effective. Your primary focus will be on developing and optimizing the infrastructure that supports our hosted API endpoints for cutting-edge open-source models. This role involves working with distributed systems, model serving, and enhancing the developer experience. You will collaborate with a small, dynamic team at the intersection of product development, model performance, and infrastructure, defining how developers interact with AI models on a large scale.RESPONSIBILITIES:Design, develop, and maintain the Model APIs surface, focusing on advanced inference features such as structured outputs (JSON mode, grammar-constrained generation), tool/function calling, and multi-modal serving.Profile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, create custom CUDA operators, and enhance memory allocation patterns for maximum efficiency across multi-GPU setups.Implement performance improvements across various runtimes based on a deep understanding of their internals, including speculative decoding, guided generation for structured outputs, and custom scheduling algorithms for high-performance serving.Develop robust benchmarking frameworks to evaluate real-world performance across diverse model architectures, batch sizes, sequence lengths, and hardware configurations.Enhance performance across runtimes (e.g., TensorRT, TensorRT-LLM) through techniques such as speculative decoding, quantization, batching, and KV-cache reuse.Integrate deep observability mechanisms (metrics, traces, logs) and establish repeatable benchmarks to assess speed, reliability, and quality.

About Our TeamJoin the Inference team at OpenAI, where we leverage cutting-edge research and technology to deliver exceptional AI products to consumers, enterprises, and developers. Our mission is to empower users to harness the full potential of our advanced AI models, enabling unprecedented capabilities. We prioritize efficient and high-performance model inference while accelerating research advancements.About the RoleWe are seeking a passionate Software Engineer to optimize some of the world's largest and most sophisticated AI models for deployment in high-volume, low-latency, and highly available production and research environments.Key ResponsibilitiesCollaborate with machine learning researchers, engineers, and product managers to transition our latest technologies into production.Work closely with researchers to enable advanced research initiatives through innovative engineering solutions.Implement new techniques, tools, and architectures that enhance the performance, latency, throughput, and effectiveness of our model inference stack.Develop tools to identify bottlenecks and instability sources, designing and implementing solutions for priority issues.Optimize our code and Azure VM fleet to maximize every FLOP and GB of GPU RAM available.You Will Excel in This Role If You:Possess a solid understanding of modern machine learning architectures and an intuitive grasp of performance optimization strategies, especially for inference.Take ownership of problems end-to-end, demonstrating a willingness to acquire any necessary knowledge to achieve results.Bring at least 5 years of professional software engineering experience.Have or can quickly develop expertise in PyTorch, NVidia GPUs, and relevant optimization software stacks (such as NCCL, CUDA), along with HPC technologies like InfiniBand, MPI, and NVLink.Have experience in architecting, building, monitoring, and debugging production distributed systems, with bonus points for working on performance-critical systems.Have successfully rebuilt or significantly refactored production systems multiple times to accommodate rapid scaling.Are self-driven, enjoying the challenge of identifying and addressing the most critical problems.

Join Hive as a Product Manager on our Hive Models team, where you will collaborate with cross-functional stakeholders to define product requirements and oversee the implementation of cutting-edge AI models. You will lead development initiatives among Machine Learning, Core Infrastructure, and Product teams, playing a pivotal role in our cloud-hosted deep learning solutions. As a key player in our organization, you will not only support our existing clients but also drive innovation and growth within our product offerings.

At Descript, we envision a world where video editing is an essential tool for every communicator. Gone are the days of needing multiple monitors and advanced degrees to craft engaging video content. Our platform allows you to edit videos as easily as working with documents and slides, increasingly through the power of AI. We are at the forefront of redefining how videos are recorded and generated, making it more user-friendly and accessible.We are in search of a dedicated Product Manager to shape the future of AI-driven video editing. You will collaborate closely with a dynamic and collaborative team of skilled PMs, AI researchers, engineers, designers, and marketing professionals. This role offers a unique opportunity to work hands-on with state-of-the-art AI technology and contribute to a product that resonates with users and accelerates in growth.As a Product Manager, you will lead the AI Research and Enablement roadmap at Descript. This pivotal role lies at the intersection of advanced AI research, robust ML infrastructure, and strategic product development. Your mission will be to ensure our AI capabilities are unparalleled while empowering our product teams to deliver AI-enhanced features that captivate our users.

Anthropic is looking for a Research Engineer focused on model evaluations. This position involves research and development to assess and strengthen the performance of AI models. Teams are based in San Francisco and New York City, and the role supports remote work with required travel. Key responsibilities Design and implement evaluations for Anthropic's AI models Collaborate with team members to enhance model performance Contribute to research that pushes the boundaries of AI systems Location Remote-friendly (travel required) San Francisco, CA New York City, NY

Join Scale AI’s Finance Analytics and Systems team as a proactive team member dedicated to crafting and enhancing internal tools and AI agents designed to automate workflows within finance and accounting. In this dynamic role, you will collaborate closely with stakeholders across business finance, corporate finance, and accounting to gain insights into their workflows, enabling you to develop systems that facilitate quicker turnaround times with enhanced accuracy. Your responsibilities will include designing data models, prototyping internal tools, and implementing agent-driven workflows utilizing our internal data infrastructure, system integration tools, Scale’s proprietary AI platform, and innovative AI tools. We seek an individual who thrives on tackling complex challenges, is passionate about building systems from the ground up, and excels at translating vague business needs into scalable technical solutions, all while maintaining a strong focus on detail and a thorough approach to validating results.

About Superhuman Grammarly is now part of Superhuman, an innovative AI productivity platform dedicated to unlocking the superhuman potential in everyone. Superhuman's suite of applications and agents seamlessly integrates with over 1 million applications and websites, providing tools like Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers assistance automatically. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, empowering them to eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here. The Opportunity We are seeking a dynamic Performance Marketing Lead for Paid Social, Display, and Video to spearhead our visual performance channels and drive growth across both desktop and mobile platforms. You will oversee a talented team of channel specialists while remaining actively involved in the strategy formation, execution guidance, and ongoing enhancement of our customer acquisition and growth efforts across key visual platforms. Your role will involve building and scaling performance strategies through a data-driven creative testing framework, expanding mobile app initiatives, and conducting incrementality testing, while taking ownership of the desktop acquisition strategy for these channels. Collaboration with Data Science, Product, Engineering, Creative, and Product Marketing teams will be essential to implement cohesive, impactful growth initiatives. This position is perfect for an individual who enjoys being a hands-on manager, balancing mentoring with deep dives into performance analytics and experimentation. In this role, you will: Lead and mentor a team of 2–3 channel specialists, offering guidance on channel strategies and professional development while being actively engaged in day-to-day decisions. Develop and execute performance strategies across Paid Social, Display, and Video to foster self-serve growth on both desktop and mobile. Oversee the mobile acquisition strategy for visual channels, including measurement, optimization, and experimentation across app campaigns and mobile inventory. Create and maintain a data-driven creative testing framework that links creative concepts to performance outcomes such as CAC, LTV, and incrementality. Develop a comprehensive cross-channel roadmap that aligns testing, budgeting, and insights across Paid Social, Display, and YouTube. Collaborate closely with Data Science, Product, Engineering, Creative, and Product Marketing teams to synchronize strategies and objectives.

At Sciforium, we're at the forefront of AI infrastructure innovation, dedicated to developing cutting-edge multimodal AI models and a proprietary, high-efficiency model serving platform. With significant multi-million-dollar backing and direct collaboration from AMD, including hands-on support from AMD engineers, our team is rapidly expanding to construct the comprehensive stack that fuels leading-edge AI models and real-time applications.About the RoleJoin us in a unique opportunity to architect and spearhead the development of Sciforium's next-generation model serving platform, the powerhouse that will deliver a multimodal, high-performance foundation model to market. As a senior technical leader, you will not only craft core components but also mentor and guide fellow engineers, shaping engineering direction, standards, and quality of execution.You'll delve into the entire AI stack: from GPU kernels and quantized execution paths to distributed serving, scheduling, and the APIs that drive real-time AI applications. If you relish deep systems work, thrive on ownership, and aspire to lead engineers in constructing foundational AI infrastructure, this role places you at the heart of Sciforium's mission and growth.Your ResponsibilitiesSteer the technical direction of the model serving platform, overseeing architectural decisions and engineering execution.Develop core serving components such as execution runtimes, batching, scheduling, and distributed inference systems.Create high-performance C++ and CUDA/HIP modules, including custom GPU kernels and memory-optimized runtimes.Collaborate with ML researchers to transition new multimodal models into production while ensuring low-latency, scalable inference.Construct Python APIs and services that make model capabilities accessible to downstream applications.Mentor and assist other engineers through code reviews, design discussions, and direct technical support.Lead performance profiling, benchmarking, and observability initiatives across the inference stack.Guarantee high reliability and maintainability through rigorous testing, monitoring, and adherence to engineering best practices.Diagnose and resolve intricate issues spanning GPU, runtime, and service layers.

About UsScribe is a dynamic workplace where talented individuals excel in their careers. With over 94% of Fortune 500 companies utilizing Scribe to streamline and document their workflows, our cutting-edge Workflow AI platform is designed to enhance efficiency and consistency across teams.Since our inception in 2019, we have rapidly expanded to serve more than 5 million users across 600,000 businesses. Headquartered in San Francisco, we are proud to have been recognized as a LinkedIn Top Startup, boasting a valuation of over $1 billion, supported by prominent investors. Join us in transforming how work is accomplished.Our Work CultureWe are a team of builders focused on mastering our skills while fostering collaborative success. Our core values include:Accelerate ImpactRaise the BarEmpower UsersClarity is KindnessContinuous LearningUnified Team SpiritRole OverviewAs the Director of Performance Marketing, you will be at the forefront of Scribe's growth strategy. Your leadership will drive how we connect with, motivate, and convert thousands of customers each month. Over the past year, we have tripled our scale, and now we seek an innovative leader to guide our performance marketing initiatives across various platforms, including Meta, Google, YouTube, TikTok, Reddit, and other emerging channels, fostering measurable and scalable growth globally.This influential leadership role is ideal for a seasoned professional with a proven track record of building and scaling high-impact performance marketing strategies. You will design and implement our cross-channel marketing approach, blending operational excellence with strategic insight and expertise in modern measurement methodologies. Collaborating with our analytics and data science teams, you will utilize Marketing Mix Modeling (MMM), geo testing, and incrementality studies to support informed, data-driven decisions.With the autonomy to conduct bold experiments, challenge traditional perspectives, and shape the growth systems, you will thrive in our scientific, data-informed environment. We are eager to welcome a strategic thinker with a passion for experimenting and innovating.

Join Anthropic as a Senior Research Scientist on our Reward Models team, where you will spearhead groundbreaking research aimed at enhancing our understanding of human preferences at scale. Your innovative contributions will directly influence how our AI models, including Claude, align with human values and optimize for user needs. You will delve into the forefront of reward modeling for large language models, designing novel architectures and training methodologies for Reinforcement Learning from Human Feedback (RLHF). Your research will explore advanced evaluation techniques, including rubric-based grading, and tackle challenges such as reward hacking. Collaboration is key, as you'll work alongside teams in Finetuning, Alignment Science, and our broader research organization to ensure your findings result in tangible advancements in AI capabilities and safety. This role offers you an opportunity to address critical AI alignment challenges, leveraging cutting-edge models and substantial computational resources to further the science of safe and capable AI systems.

Role Overview OpenAI is hiring a ChatGPT Performance Engineer in San Francisco. This role focuses on improving the performance and efficiency of ChatGPT’s advanced AI models. The position works closely with cross-functional teams to identify and implement solutions that make ChatGPT faster and more reliable for users around the world. What You Will Do Optimize the speed, reliability, and scalability of ChatGPT’s platforms. Collaborate with engineers and other teams to solve technical challenges. Develop and refine systems to support a seamless user experience globally. Impact This work directly shapes the future of AI at OpenAI, helping deliver a dependable and efficient ChatGPT experience to millions of users.