Post-Training Technical Staff Member at Liquid AI | San Francisco

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in the development of versatile artificial intelligence systems optimized for performance across various deployment environments, ranging from data center accelerators to on-device hardware. Our focus on low latency, minimal memory consumption, privacy, and reliability allows us to pa…

Join Our TeamAt Liquid AI, we are not just creating AI models; we are revolutionizing the very fabric of intelligence. Originating from MIT, our objective is to develop efficient AI systems across all scales. Our Liquid Foundation Models (LFMs) excel in environments where others falter—on-device, at the edge, and under real-time constraints. We are not simply refining existing concepts; we are pioneering the future of AI.We recognize that exceptional talent drives remarkable technology. The Liquid team is a collective of elite engineers, researchers, and innovators dedicated to crafting the next generation of AI solutions. Whether you are designing model architectures, enhancing our development platforms, or facilitating enterprise integrations, your contributions will significantly influence the evolution of intelligent systems.While San Francisco and Boston are preferred locations, we welcome applicants from other regions within the United States.

Technical Staff Member in Applied AIAbout the OpportunityWe are seeking a highly skilled Technical Staff Member specializing in generative modeling to bridge the gap between our advanced models and the clients who rely on them. You will collaborate with a diverse team of machine learning experts, protein engineers, and biologists to revolutionize biological control and disease treatment. Your role will involve gaining a comprehensive understanding of our proprietary generative models and leveraging that expertise to deploy, adapt, and optimize these models in client environments, particularly within the pharmaceutical and biotech industries.This hybrid position requires a research-oriented mindset to deeply understand our models, paired with the communication skills necessary to translate that knowledge into production systems that yield scientific value for our collaborators.About UsAt Latent Labs, we are pioneering frontier models that decode the fundamentals of biology. Our ambitious goals are driven by curiosity and a commitment to scientific excellence. Prior to founding Latent Labs, our team co-developed DeepMind's Nobel Prize-winning AlphaFold, innovated latent diffusion, and created groundbreaking lab data management systems along with high-throughput protein screening platforms. Here, you will work alongside some of the brightest minds in generative AI and biology.We value interdisciplinary collaboration, continuous learning, and teamwork. Our team offsites foster a culture of trust and connection between our London and San Francisco offices. We are looking for innovators who are passionate about solving complex problems and making a positive global impact. Join us on our ambitious mission.Your QualificationsExpertise in Machine Learning: You are a proficient ML researcher with a strong background in generative modeling, evidenced by your contributions to notable open-source projects, impactful product launches, or significant publications in leading venues such as NeurIPS, ICML, ICLR, or Nature. You possess a deep understanding of generative model architectures, training dynamics, and inference behavior.Proficient ML Developer: You produce robust, tested, and maintainable ML code. Your experience includes using version control and code review systems. You are adept at rapid prototyping while also being able to write elegant production code. Additionally, you have experience in building systems that deploy large models via APIs and executing inference tasks in production environments.

Shape the Future with AI InnovationAt asari.ai, we are on a mission to empower individuals to create intricate systems and tackle the world's most challenging problems with the aid of advanced AI agents that are both scalable and reliable.Our team boasts a history of publishing award-winning AI research and is supported by elite investors such as Eric Schmidt, Caltech, Jeff Dean, and JP Millon.We thrive in a fast-paced environment, leveraging first-principles thinking and purposeful building. We believe that exceptional outcomes arise when individuals take ownership, grow collectively, and share both the hurdles and victories.Your RoleDesign, train, and assess hybrid AI systems that excel at scale while making optimal trade-offs.Develop scalable data processing and machine learning frameworks.Address min-max challenges: maximizing output while minimizing resources.Enhance our productivity by eliminating operational and tooling constraints.Ideal Candidate ProfileYou find motivation in resolving complex real-world challenges.You possess a proven background in a technical field such as machine learning, computer science, physics, or mathematics.You demonstrate strong programming skills (in Python, C++) and mathematical proficiency.You exhibit robust conceptual and structured thinking abilities.You communicate clearly and effectively, both verbally and in writing.You are eager and capable of rapid learning.You embody a team-oriented spirit.You can independently organize, plan, prioritize, and execute tasks.You are driven by excellence, ownership, and a proactive mindset.Preferred QualificationsExperience with open-source projects, published research, or demonstrated expertise in machine learning.Familiarity with applying deep learning, reinforcement learning, unsupervised learning, and related techniques to large-scale problems.Experience with distributed computing and managing large datasets.Compensation and BenefitsAttractive salaryEquity optionsComprehensive health insurance (100% covered), dental (90% covered), and vision (90% covered). Dependent coverage is at 50%.

At Chroma, we are at the forefront of AI data infrastructure, providing top-tier retrieval solutions that empower developers worldwide.Join us as we navigate the nascent stages of AI technology, and become part of a team that values curiosity and dedication to mastering your craft.There is significant work ahead, and we invite you to contribute to our mission.

About Cogent SecurityCogent Security is an innovative Applied AI Lab dedicated to developing the next generation of AI agents for cybersecurity. As cyber threats evolve, so do our defenses. Our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address potential breaches before they can escalate.To maintain our edge, we integrate pioneering research with practical implementation. In addition to our core product initiatives, Cogent Research acts as our applied AI laboratory, fueling our ability to create truly intelligent security workflows.Since our launch, Cogent has rapidly expanded, collaborating with Fortune 500 companies to secure some of the world's most intricate production environments.Supported by Greylock, we've assembled a team of exceptional talent in applied AI, including individuals from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and WaterlooHigh-growth companies including Scale AI, Databricks, Stripe, Tesla, and CoinbaseLeading cybersecurity experts from Wiz, Abnormal AI, and ZscalerPrestigious research institutions like DeepMind and SAILAbout the RoleIn the role of Senior Frontend Engineer, you will take ownership of the frontend platform and user experience, empowering customers to visualize, understand, and act upon complex security data with assurance.This position is classified as Staff+ level; you will have previously operated as a Staff, Senior Staff, or Principal Frontend Engineer and will be eager to define the technical pathway for a new platform. Your responsibilities will include designing frontend infrastructure, developing 'golden' component libraries, and enhancing the platform’s AI capabilities, all while delivering customer-facing features.You will balance in-depth architectural design with hands-on development, ensuring our frontend stack is both sophisticated and robust as we scale. Over time, you will play a key role in mentoring junior frontend engineers, laying the groundwork for a strong team based on the foundations you establish.

tierzero seeks a Founding Member of Technical Staff to play a key role in building the company’s technology from the earliest stages. This position is based at the San Francisco headquarters and offers the chance to collaborate directly with founders and engineers. Role overview As an early team member, you will help design and develop new products and systems. The work involves close collaboration with others in the office, shaping both the technical direction and the culture of the engineering team. What you will do Develop core technology in partnership with founders and engineers Contribute ideas and code that guide the evolution of tierzero’s products Help define engineering standards and establish best practices Location This position is based onsite at the San Francisco HQ.

Gimlet Labs is pioneering the development of the first heterogeneous neocloud designed specifically for AI workloads. As the demand for AI systems grows, the current infrastructure is reaching critical limitations in terms of power, capacity, and cost-efficiency. Gimlet addresses these challenges by effectively decoupling AI workloads from the hardware they run on. Our innovative platform intelligently partitions workloads into various components and allocates each to the most suitable hardware, optimizing for performance and efficiency. This dynamic approach facilitates heterogeneous systems that can operate across diverse vendors and generations of hardware, including the latest cutting-edge accelerators, thus enabling substantial advancements in performance and cost-effectiveness.Furthermore, Gimlet is developing a production-grade neocloud for agentic workloads, allowing clients to effortlessly deploy and manage their tasks through stable, production-ready APIs, without needing to consider hardware selection, placement, or intricate performance optimizations.Our collaborations span foundation labs, hyperscalers, and AI-native companies, all aimed at powering real production workloads built for scalability in gigawatt-class AI datacenters.Gimlet Labs is currently on the lookout for a dedicated Technical Staff Member specializing in AI research. In this role, you will assess and apply innovative techniques to enhance performance and quality across the newest AI models. Your contributions will be crucial in exploring new model architectures and experimenting with advanced inference efficiency methods such as KV caching and FlashAttention. The research team will focus on designing and prototyping frameworks that leverage fine-tuning and knowledge distillation techniques to push the limits of model performance.

At Magic, we are on a mission to create safe AGI that propels humanity forward in tackling the world's most pressing challenges. We believe that the key to achieving safe AGI lies in automating research and code generation, allowing us to enhance models and ensure alignment more reliably than human capabilities alone. Our innovative approach integrates frontier-scale pre-training, domain-specific reinforcement learning, ultra-long context, and advanced inference-time computing to realize this vision.About the Role:We are seeking a passionate individual to spearhead developer experience and data tooling within our pre-training data team. This role involves creating internal tools and infrastructure that enhance team productivity, including dashboards, command-line interfaces (CLIs), data exploration UIs, and the systems that interconnect them.Focusing on developer experience and tooling, we need someone who enjoys solving problems, deploying solutions quickly, and experimenting with new ideas.Potential Projects:Lead tooling initiatives across the architecture: develop systems, implement continuous integration, create CLI utilities, and design internal web interfaces.Design internal tools for dataset exploration, data labeling, quality assessment, and data inventory management.Enhance data infrastructure ergonomics—optimizing IO patterns in Ray/dataflow jobs, improving dataset tracking, and enhancing pipeline observability.Spot opportunities by engaging with the team, understanding their challenges, and proactively refining workflows.Elevate standards for code organization, packaging, and engineering best practices.What We Are Looking For:Preferred QualificationsSolid foundation in software engineering principles.Genuine interest in developer experience and best practices for code organization.Effective communicator, adept at collaborating with teammates to understand their requirements.Proactive mindset—identifies issues and implements solutions.Local to San Francisco (this role requires in-office attendance).Ideal Background (in order of importance)Open source contributor—experience with tools similar to Ruff, uv, or other developer-centric projects.Experience in build systems and CI—has developed or overseen build systems, CI pipelines, or developer tools on a large scale.Data pipeline experience—understanding of optimizing data workflows and data handling.

Tzafon is at the forefront of machine intelligence, operating as a cutting-edge foundation model lab dedicated to building scalable computing systems. With offices in San Francisco, Zurich, and Tel Aviv, we have secured over $12 million in funding to propel our mission of expanding the boundaries of machine intelligence.Our talented team comprises engineers and scientists with extensive expertise in ML infrastructure and research, founded by distinguished IOI and IMO medalists, PhD holders, and alumni from top tech firms such as Google DeepMind, Character, and NVIDIA. We specialize in training models and constructing infrastructure for swarms of agents to automate tasks across real-world environments.In this role, you'll collaborate between our product and post-training teams to deploy Large Action Models that deliver results. Your responsibilities will include building evaluations, benchmarks, and fine-tuning pipelines, as well as defining optimal model behavior and achieving it at scale.

Join the team at Mirendil as a Member of Technical Staff specializing in Machine Learning Systems. In this role, you will leverage your expertise to develop innovative solutions that enhance our ML frameworks and contribute to groundbreaking projects in the AI space. Collaborate with top talent in a dynamic environment that promotes creativity and technical excellence.

At teameigen, we are a dynamic group of innovators, engineers, and storytellers, supported by renowned venture capitalists and the visionaries behind some of the world’s most cherished consumer products, as well as influential figures from film, music, and television.We seek passionate builders with a keen sense of product development to advance applied emotional intelligence and create the technological frameworks that will define consumer technology in the next decade.As a member of our technical staff, you will:Independently tackle complex and ambiguous challenges from start to finish.Engage across the entire technology stack with a product-first mindset rather than a tech-centric approach.Collaborate with writers, artists, and other creatives to enhance the emotional and aesthetic experience of our product.Demonstrate relentless urgency and a strong work ethic in all projects.

At Gimlet Labs, we are pioneering the first heterogeneous neocloud tailored for AI workloads. As the demand for AI systems grows, traditional infrastructure faces significant limitations in terms of power, capacity, and cost. Our innovative platform addresses these challenges by decoupling AI workloads from the hardware, intelligently partitioning tasks, and directing each component to the most suitable hardware for optimal performance and efficiency. This method allows for the creation of heterogeneous systems that span multiple vendors and generations of hardware, including the latest cutting-edge accelerators, achieving substantial improvements in performance and cost-effectiveness.Building upon this robust foundation, Gimlet is developing a production-grade neocloud designed for agentic workloads. Our customers can effortlessly deploy and manage their workloads with stable, production-ready APIs, eliminating the complexities of hardware selection, placement, or low-level performance optimization.We collaborate with foundational labs, hyperscalers, and AI-native companies to drive real production workloads capable of scaling to gigawatt-class AI data centers.We are currently seeking a dedicated Member of Technical Staff specializing in kernels and GPU performance. In this role, you will work closely with accelerators and execution hardware to extract maximum performance from AI workloads across diverse and rapidly evolving platforms. You will analyze low-level execution behaviors, design and optimize kernels, and ensure consistent performance across both established and emerging hardware.This position is perfect for engineers who thrive on deep performance analysis, enjoy exploring hardware trade-offs, and are passionate about transforming theoretical peak performance into tangible real-world outcomes.

Join Liquid AI as a Technical Staff Member specializing in Applied Vision. In this dynamic role, you will leverage cutting-edge technology to develop innovative solutions and enhance our product offerings. This position is ideal for recent graduates with a passion for technology and a desire to make a meaningful impact in the field of artificial intelligence.

Overview: Join Listen Labs as we embark on an exciting journey to revolutionize decision-making for companies through cutting-edge AI technology. With a robust product roadmap planned for the next six months, we are expanding our engineering team. We are in search of a highly technical individual who thrives on solving complex problems and is eager to contribute to our mission. If you are passionate about innovation and want to be part of a team that includes several IOI medalists, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-powered research, enabling teams to extract valuable insights from customer interviews in a matter of hours rather than months. Our platform assists users in analyzing conversations, identifying key themes, and making informed product decisions swiftly.Why Join Us?Exceptional Team: Our founding team consists of seasoned entrepreneurs with a proven track record in AI, alongside top talents from renowned organizations such as Jane Street, Twitter, Stripe, and Goldman Sachs.Rapid Growth: Backed by Sequoia Capital, we have grown from zero to a $14M run-rate in under a year, with a dedicated team of 40.Impressive Clientele: We are witnessing significant traction across various sectors, securing enterprise clients like Google, Microsoft, and Nestlé.Product Excellence: Our differentiated product offers an industry-leading win rate, which is a testament to our commitment to quality.Market Success: Our customer base is expanding rapidly, with numerous six-figure contracts leading to further growth.Viral Impact: Our product's interviews reach tens of thousands of viewers, driving organic growth and interest from Fortune 500 companies.

Overview: Listen Labs is experiencing robust market demand and is set to launch an ambitious product roadmap over the next six months. We are seeking an exceptionally technical individual to join our engineering team, which includes three IOI medalists. If you're passionate about building innovative solutions that empower companies to make informed decisions, we want to hear from you.About Listen Labs:Listen Labs is an advanced AI-driven research platform designed to help teams extract actionable insights from customer interviews in record time. Our technology enables users to analyze conversations, identify key themes, and expedite the decision-making process.Why Join Us?Exceptional Team: Our founders are seasoned entrepreneurs with successful AI exits, complemented by talent from prestigious firms like Jane Street, Twitter, Stripe, Bain, and Goldman Sachs, along with backgrounds in IOI/ICPC.Rapid Growth: As a 40-person team backed by Sequoia, we have scaled from $0 to a $14 million run-rate in under a year. We prioritize craftsmanship and collaborate with individuals who demonstrate ownership.Proven Success: Our traction includes significant enterprise wins with clients such as Google, Microsoft, Nestlé, and P&G.Market Leadership: Our product's unique features drive an industry-leading win rate and rapid customer acquisition across various segments.Viral Growth: Our interviews are disseminated widely, fueling organic growth and attracting attention from Fortune 500 companies.Technical Challenges:AI Research Agent: We are developing an AI research agent that transforms traditional research methodologies, offering expert guidance on project setup, interview strategies, and data analysis.Human Database: Our goal is to create a comprehensive database of users, enhancing our ability to connect clients with target demographics based on ongoing research studies.

About the Role Reflection AI is hiring a Member of Technical Staff focused on Infrastructure Security in San Francisco. This position plays a key part in protecting the company’s infrastructure from security threats. What You Will Do Work with teams across the company to design, implement, and monitor security protocols and systems Help safeguard digital assets by maintaining the integrity and security of infrastructure

Join cleara as a Fullstack Engineer, where you will play a pivotal role in developing and optimizing our software solutions. You will collaborate with cross-functional teams to deliver high-quality applications that meet the needs of our clients.

Join OpenEvidence: Pioneering the Future of Medical AIOpenEvidence is globally recognized as the leading medical AI platform, achieving unparalleled growth with over 40% of US clinicians adopting our technology through organic word-of-mouth. As a $12 billion company, we are backed by a talented engineering team from prestigious institutions like MIT, Harvard, and Stanford. We are on a mission to redefine the medical AI landscape and are eager to expand our team with exceptional individuals who are ready to make a significant impact on the lives of millions.Our CultureAt OpenEvidence, we maintain a culture of excellence where creating groundbreaking technologies is akin to a professional sport. We believe in complete ownership and responsibility; every engineer and scientist is empowered to drive significant advancements in our product. Mediocrity has no place in our organization; we pursue precision, intentionality, and quality in every detail. Our engineers thrive on tackling the most challenging aspects of projects while ensuring an exceptional user experience. We value transparency in project outcomes, celebrating achievements, and learning from failures.Who You AreWe are looking for passionate individuals who are ready to roll up their sleeves and dive into the deep end of innovation. If you are someone who seeks to make a tangible impact—driving significant revenue and enhancing the lives of millions—this role is for you. The ideal candidate is not only a brilliant builder but also smart, ambitious, resourceful, and humble. If this resonates with you, we want to hear from you!QualificationsWe are looking for candidates who possess strong technical skills, a passion for innovation, and a desire to take ownership of projects. A Bachelor's degree in a relevant field is preferred, along with experience in software development, data analysis, or a related discipline. Your ability to work independently while collaborating within a team is crucial to our success.

Role overview As a Founding Member of Technical Staff at tierzero in San Francisco, this early hire will play a key role in shaping both the company’s technology and its products from day one. The position calls for hands-on work, building new solutions and collaborating with the team to set technical direction. What you will do Work directly with the founding team on core product development Help establish engineering practices and technical standards Take on projects designed to set new benchmarks in the industry Influence decisions that guide the company’s technology roadmap Location This role is based at tierzero’s headquarters in San Francisco.