Technical Safety Lead - Member of Technical Staff

Our MissionAt Reflection AI, our mission is to develop open superintelligence and make it universally accessible.We are pioneering open weight models tailored for individuals, agents, enterprises, and even nation-states. Our exceptional team comprises AI researchers and innovators from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Chara…

At Catalog, we are pioneering the commerce infrastructure for AI—creating the essential framework that enables digital agents to not only explore the web but also comprehend, analyze, and engage with products. Our innovations drive the future of AI-driven shopping experiences, fundamentally transforming how consumers discover and purchase items online.Role OverviewAs a Technical Staff Member, you will be instrumental in developing core systems, shaping our engineering culture, and transitioning our vision from prototype to a robust platform. This role requires full-stack expertise and a commitment to owning and resolving challenges from start to finish.Who You AreYou have experience creating beloved and trusted products from the ground up.You combine technical proficiency with a keen product sense and data-driven intuition.You are well-versed in AI technologies.You prioritize speed, write clean code, and ensure thorough instrumentation.You seek a high level of ownership within a small, talent-rich team based in San Francisco.Challenges You Will TackleDevelop and deploy agentic-search APIs that deliver structured and real-time product data in milliseconds.Build checkout systems enabling agents to conduct transactions with any merchant.Create an embeddings and retrieval layer that optimizes recall, precision, and cost efficiency.Establish a product graph and ranking pipeline that adapts based on actual user outcomes.Preferred QualificationsProven experience shipping data-centric products in a live environment.Experience with recommendation systems or information retrieval methodologies.Familiarity with API development, search indexing, and data pipeline construction.Our Work CultureWe operate with a small, high-trust, and highly motivated team, fostering an environment of in-person collaboration in North Beach, San Francisco. Our process involves debate, decision-making, and execution.If your profile aligns with our needs, we will contact you to arrange 2-3 brief technical interviews, followed by an onsite meeting in our office where you will collaborate on a small project, exchange ideas, and meet the team.

Join our dynamic team at Adyen as a Technical Staff Member in San Francisco! We are seeking innovative minds passionate about technology and problem-solving. In this role, you will collaborate with cross-functional teams to craft solutions that enhance our services and improve customer experiences.

About Our TeamJoin the Safety Systems team at OpenAI, where we are dedicated to ensuring that our cutting-edge models are deployed safely in the real world, positively impacting society. We are at the forefront of OpenAI's mission to develop and implement safe Artificial General Intelligence (AGI), emphasizing a culture of trust, transparency, and responsibility in AI.The Safety Research team is focused on advancing our capabilities to implement robust and safe behaviors in AI models and systems. As we make strides in AI capabilities, our safety approaches must evolve to effectively address the changing landscape of risks. This vigilance is essential not only for preventing harmful misuse but also for ensuring that potential misalignments do not result in adverse outcomes. Our research is grounded in current methodologies while also being adaptable to future systems.As we expand our team, we are looking for innovative research methods that enhance safety for AGI and beyond. This includes exploratory research into improving safety common sense and generalizable reasoning, developing evaluations to identify misalignment or hidden objectives of AI, and creating new strategies to support human oversight during long-term tasks.About the RoleIn your capacity as a Technical Lead, you will spearhead our strategic initiatives aimed at mitigating potential risks arising from misalignment or significant errors. Your responsibilities will encompass:Establishing visionary goals and milestones for new research endeavors, alongside crafting rigorous evaluations to monitor progress.Leading or driving research into new exploratory areas to validate the feasibility and scalability of our safety approaches.Collaborating across safety research and related teams to ensure that diverse technical strategies converge to deliver robust safety outcomes.We seek individuals with a proven track record in practical research concerning safety and alignment, particularly within the realms of AI and large language models (LLMs), who have successfully led substantial research initiatives in the past.This role is situated in San Francisco, CA, with a hybrid work model of three days in the office each week. We also offer relocation assistance to new employees.

TierZero builds tools that help engineering teams deliver and manage code efficiently. The platform enables quicker incident response, clearer operational visibility, and shared knowledge among engineers. Backed by $7 million from investors like Accel and SV Angel, TierZero supports clients such as Discord, Drata, and Framer as they strengthen infrastructure for AI-driven work. This in-person role is based at TierZero's San Francisco headquarters, with a hybrid schedule requiring three days onsite each week. As a founding member of the technical staff, work directly with the CEO, CTO, and customers to influence the direction of TierZero’s core products and systems. The position calls for flexibility as priorities shift and close collaboration across the company. What you will do Design and develop AI systems that handle large volumes of unstructured data. Build full-stack product features, informed by direct feedback from users. Enhance the product so agents are intelligent, reliable, and easy for engineers to use. Create systems to automatically evaluate outputs from large language models and improve agentic reasoning through self-play and feedback. Construct machine learning pipelines, including data ingestion, feature creation, embedding stores, retrieval-augmented generation (RAG) pipelines, vector search, and graph databases. Experiment with open-source and emerging large language models to compare different approaches. Develop scalable infrastructure for long-running, multi-step agents, including memory, state management, and asynchronous workflows. Requirements Interest in working with large language models, managed cloud platforms, cloud infrastructure, and observability tools. At least 5 years of professional experience or significant open-source contributions. Comfort with shifting priorities and tackling new technical problems. Strong product focus and commitment to customer outcomes. Openness to learning from a team with a track record of delivering over $10 billion in value. Ability to work onsite in San Francisco three days per week. Bonus: Experience in a startup setting and familiarity with startup dynamics.

About TierZero TierZero helps engineering teams use AI to build and ship code more efficiently. The platform targets the bottleneck of human speed in production, giving teams tools for faster incident response, better operational visibility, and shared knowledge. TierZero is backed by $7M in funding from investors including Accel and SV Angel. Companies like Discord, Drata, and Framer trust TierZero to strengthen their infrastructure for AI-driven engineering. Role Overview: Founding Member of Technical Staff This is an on-site role based at TierZero’s San Francisco headquarters, with three days a week in the office. As a founding member, direct collaboration with the CEO, CTO, and early customers shapes the direction of both product and systems. The work spans hands-on development and close engagement with users and leadership. What You Will Do Design and build intelligent AI systems to analyze large volumes of unstructured data. Deliver full-stack features based on real user feedback. Improve the product experience so AI agents are both reliable and easy for engineers to use. Develop systems that automatically evaluate LLM outputs and advance agentic reasoning using self-play and feedback loops. Create machine learning pipelines, including data ingestion, feature generation, embedding stores, retrieval-augmented generation (RAG), vector search, and graph databases. Prototype with open-source and new LLMs, comparing their strengths and weaknesses. Build scalable infrastructure for long-running, multi-step agents, with attention to memory, state, and asynchronous workflows. What We Look For Over five years of relevant professional or open-source experience. Comfort working in environments with uncertainty and evolving challenges. Strong product focus and a drive for customer satisfaction. Interest in large language models (LLMs), Model Control Planes (MCPs), cloud infrastructure, and observability tools. Previous startup experience is a plus. Location This position is based in San Francisco. Expect to work on-site three days per week at TierZero’s HQ.

Join Us If You:Are eager to learn from a group of experienced engineers who have successfully delivered over $10 billion in value.Prefer to work in our San Francisco office three days a week.Excel in navigating uncertainty.Possess a product-oriented mindset with a strong emphasis on customer satisfaction.Are passionate about working with Large Language Models (LLMs), Multi-Cloud Platforms (MCPs), Cloud Infrastructure, and Observability tools.Bring at least five years of professional or open-source experience.Bonus: Have previous experience in a startup environment and understand the dynamics involved.About TierZeroAt TierZero, we are redefining how engineering teams leverage AI to enhance the speed and efficiency of code deployment. While AI accelerates the development cycle, the actual process of productionizing code remains a challenge. Our platform empowers agile engineering teams to manage code in production effectively, ensuring quicker incident response times, comprehensive operational visibility, and shared knowledge among all team members.Backed by $7 million in funding from leading investors like Accel and SV Angel, TierZero is trusted by industry leaders such as Discord, Drata, and Framer to operate their high-scale systems and create the foundational layer for AI-driven engineering teams.The RoleAs a founding member of our team, you will play a crucial role in conceptualizing and developing our core product and systems from the ground up. Collaborating closely with the CEO, CTO, and our valued customers, you will be engaged in a variety of dynamic projects, including:Designing and implementing intelligent AI systems capable of analyzing extensive unstructured data.Delivering full-stack features informed by direct user feedback.Enhancing the product experience to ensure agents are not only intelligent but also user-friendly and reliable for engineers.Creating systems that autonomously assess LLM outputs, enhancing agent reasoning through iterative self-play and feedback mechanisms.Developing machine learning pipelines encompassing data ingestion, feature generation, embedding stores, retrieval-augmented generation (RAG) pipelines, vector search infrastructure, and graph databases.Investigating and prototyping with open-source and cutting-edge LLMs to assess their capabilities and trade-offs.Establishing scalable infrastructure to support long-running, multi-step agents, addressing aspects like memory management, state handling, and asynchronous workflows.

tierzero is looking for a Founding Member of Technical Staff to help shape the direction of its technology from the ground up. This role is based at the company's San Francisco headquarters. Role overview As an early technical hire, you will work closely with engineers and product managers to build new products and features. The work centers on designing, coding, and delivering software solutions that address client needs and support tierzero's growth. Impact Contributions in this role will directly influence the company's future. The team values initiative and hands-on problem solving, giving each member a chance to make a visible difference in how the company evolves. Collaboration This position involves regular collaboration with a small, focused team. Input and ideas from every member help guide product direction and technical decisions.

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.

Overview: As a part of our ambitious expansion plan driven by strong market demand, Listen Labs is looking to enhance our engineering team with a talented Technical Lead. If you are passionate about leveraging technology to create innovative solutions that reshape decision-making for companies, we want to hear from you!About Listen Labs:Listen Labs is at the forefront of AI-driven research, transforming the way teams derive insights from customer interviews in mere hours instead of months. Our platform empowers users to analyze conversations, identify themes, and expedite smarter product decisions.Why Join Us?Exceptional Talent: Our team boasts multiple IOI medalists and includes experts from prestigious companies like Jane Street, Twitter, and Stripe, among others.Rapid Growth: Backed by Sequoia, we’ve scaled from zero to a $14M run-rate in under a year, maintaining a focus on quality and ownership.Strong Customer Base: We have secured significant wins with enterprises such as Google and Microsoft, showcasing our product's effectiveness across various segments.Proven Success: Our differentiated product has resulted in an industry-leading win rate and consistent customer acquisitions, leading to rapid expansions.Viral Engagement: Our product promotes organic growth, with interviews reaching thousands of viewers, generating daily interest from Fortune 500 companies.Technical Responsibilities:AI Research Agent Development: Design an AI agent that supports users throughout their research process, ensuring they leverage best practices for optimal results.Human Database Construction: Develop a comprehensive database of users to enhance our understanding and capabilities, enabling precise targeting and improved insights.

Overview: Due to the increasing market demand and a robust six-month product roadmap, Listen Labs is expanding its engineering team. We seek a technically adept individual (our team includes three IOI medalists) who is eager to contribute to a product that is revolutionizing corporate decision-making. If you are passionate about solving intricate problems from start to finish, we invite you to connect with us.About Listen LabsListen Labs is an innovative AI-driven research platform that empowers teams to swiftly extract insights from customer interviews in hours rather than months. Our technology enables clients to analyze conversations, identify recurring themes, and expedite informed product decisions.Company Highlights:Exceptional Team: Composed of seasoned entrepreneurs (with prior AI exits), co-founders, and experts from leading firms such as Jane Street, Twitter, Stripe, Affirm, Bain, Goldman Sachs, and more, our team is built on a foundation of excellence.Rapid Growth: We are a dynamic team of 40, supported by Sequoia, achieving a remarkable growth trajectory from $0 to $14 million run-rate in less than a year. We prioritize speed, craftsmanship, and collaboration with individuals who embrace ownership.Impressive Traction: We have seen rapid growth across various sectors, securing enterprise clients such as Google, Microsoft, Nestlé, and P&G.Outstanding Performance: Our industry-leading win rate is a direct result of our uniquely differentiated product.Market Validation: We consistently attract customers across every segment, often landing six-figure deals that lead to quick expansions.Viral Product: Our interviews are shared with tens of thousands of viewers, driving product-led growth, organic expansion, and daily inquiries from Fortune 500 companies.Technical Challenges:Research Agent Development: Unlike traditional software purchases, hiring McKinsey involves gaining insights and execution expertise. We are building Listen Labs with that mindset — an AI agent that understands our platform and best research practices, assisting users in project setup, interview execution, and response analysis.Human Database Creation: A core value proposition is our capability to connect users with specific demographics. We are developing a database of millions of individuals, continually enhancing our understanding of user needs as they engage with Listen Labs.

As a Technical Staff Member specializing in Machine Learning, you will:Engage in the complete development lifecycle of innovative large-scale deep learning models.Curate datasets, architect solutions, implement algorithms, and train and assess models to enhance our offerings.Work collaboratively with engineers and researchers to convert groundbreaking research into real-world applications.Join us at a pivotal time, take on diverse roles, and contribute to building transformative products from the ground up!

At Composio, we are developing advanced infrastructure that enables agents to seamlessly interact with essential work tools such as GitHub, Gmail, Notion, Salesforce, and more. Our dedicated team of engineers is committed to tackling challenges ranging from contextual understanding to search functionalities, ensuring we provide an exceptional bridge between your agents and their tools.Having secured a $25M Series A funding from Lightspeed, alongside prominent angel investors like Guillermo Rauch (CEO of Vercel), Dharmesh Shah (CTO of HubSpot), and Gokul Rajaram, we have experienced remarkable growth, tripling our ARR at the start of this year. Our clientele includes notable names from Y Combinator cohorts to Wabi, Glean, Zoom, and beyond.Your RoleEnhance the experience of teams utilizing our platform by refining our core APIs and SDK.Create intuitive interfaces for both frontend and SDK applications.Take ownership of product development from concept through to production.Collaborate closely with customers to cultivate their loyalty while enhancing the product.Craft clear and concise documentation.

Overview: Join Listen Labs as we respond to a surge in market demand with an ambitious 6-month product roadmap. We are expanding our engineering team and are on the lookout for a highly skilled technical expert (our current team includes three IOI medalists) who is eager to build a transformative product that reshapes decision-making for businesses. If you have a passion for solving intricate problems from start to finish, we want to connect with you.About Listen LabsListen Labs is an AI-driven research platform designed to help teams quickly extract insights from customer interviews in a matter of hours rather than months. We empower our clients by enabling them to analyze conversations, identify key themes, and make faster, more informed product decisions.Why Work with Us?Exceptional Team: Founded by seasoned entrepreneurs with a successful AI exit, along with talent from renowned companies such as Jane Street, Twitter, Stripe, Affirm, Bain, and Goldman Sachs, our team boasts impressive credentials including IOI and ICPC backgrounds.Rapid Growth: As a 40-person team backed by Sequoia Capital, we have achieved a remarkable growth trajectory, scaling from $0 to a $14 million run-rate in less than a year. We prioritize craftsmanship and thrive on collaboration with individuals who take ownership.Impressive Traction: We are experiencing rapid growth across various sectors, securing enterprise clients such as Google, Microsoft, Nestlé, and Procter & Gamble.Proven Performance: We maintain an industry-leading win rate driven by our uniquely differentiated product.Market Validation: We consistently attract customers from diverse segments, achieving six-figure contracts that facilitate quick expansions.Viral Product: Our interviews reach tens of thousands of viewers, promoting product-led growth, organic expansion, and daily interest from Fortune 500 companies.Technical Challenges Await:Research Agent Development:Unlike traditional software purchases, hiring McKinsey offers valuable opinions, expertise, and execution. We aim to provide users with an AI agent that possesses complete knowledge about our platform and best research practices, assisting them in project setup, interview conduction, and response analysis.Human Database Creation:One of our core offerings is the ability to identify target users effectively (e.g., "power users of ChatGPT and Excel"). We are in the process of building a comprehensive database that connects users with the insights they need.

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.

Technical Staff MemberMirendil is a pioneering technology company dedicated to addressing fundamental challenges that propel significant advancements in science and technology. Our primary mission is to democratize access to cutting-edge AI research and development across various scientific fields. We believe that accelerating scientific discovery is one of the most impactful ways to enhance humanity's future, with AI playing a crucial role in achieving this vision.We are in the process of establishing a leading AI research company, developing our own models from the ground up. Our focus encompasses model training, reinforcement learning, reasoning systems, and the infrastructure necessary for large-scale experiments. Our team comprises accomplished researchers and engineers from esteemed organizations such as Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.Position OverviewWe are seeking skilled engineers and researchers to join us as Members of Technical Staff.This role is designed to be flexible and open-ended. Depending on your expertise and interests, you may engage in:Enhancing and training advanced AI modelsDeveloping reinforcement learning and reasoning systemsBuilding infrastructure for extensive experimental projectsCreating systems to automate or expedite research workflowsIf you are passionate about tackling ambitious challenges at the crossroads of AI, research, and scientific innovation, we would love to connect with you.

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.

Are you ready to take a leap into innovation?Join a team of expert engineers who have collectively contributed over $10 billion in value.Be present in our San Francisco office three days a week, collaborating closely with your peers.Flourish in a dynamic environment where adaptability is key.Adopt a product-driven and customer-centric mindset.Engage with cutting-edge technologies including LLMs, MCPs, Cloud Infrastructures, and Observability tools.Bring over five years of professional experience or open-source contributions to the table.Bonus points if you've previously thrived in a startup environment.About TierZeroAt TierZero, we are transforming the landscape of software engineering with AI. Our mission is to enhance the speed at which engineering teams build and deploy code, addressing the bottlenecks that slow down production. With $7 million raised from esteemed investors like Accel and SV Angel, our solutions are trusted by leading companies such as Discord, Drata, and Framer to optimize their high-scale systems and infrastructure for the AI-driven future.Your RoleAs a founding member, you will play a pivotal role in creating and developing our core products and systems. Collaborating closely with our CEO, CTO, and our valued customers, you will be engaged in a variety of tasks, including:Designing and implementing intelligent AI systems capable of reasoning over vast amounts of unstructured data.Deploying full-stack features based on direct user feedback.Enhancing the product experience to ensure that our AI agents are not only intelligent but also reliable and user-friendly for engineers.Building systems that automatically assess LLM outputs, enhancing reasoning through self-play and feedback loops.Developing machine learning pipelines for data ingestion, feature generation, embedding storage, RAG pipelines, vector search infrastructure, and graph databases.Experimenting with open-source and frontier LLMs to assess various trade-offs.Creating scalable infrastructure to support long-running, multi-step agents, including memory, state management, and asynchronous workflows.

Greetings! I’m Teddy, the CTO and co-founder of Magic Patterns. Our engineering team has expanded significantly over the past few months, and we are eager to continue this growth!If you are an enthusiastic web engineer, our roadmap holds a treasure trove of projects you've likely been eager to tackle:An infinite canvas featuring live collaborationInnovative intersections of design systems and AIFigma-like intuitive design editingEngaging consumer onboarding processes and funnelsCommunity templates and showcases with impressive componentsCurrently, thousands of teams leverage Magic Patterns to accelerate their software delivery. Our mission to empower product teams from concept to deployment has attracted Fortune 500 clients and cultivated a cherished community. However, we recognize that every day is a new beginning, and we need your expertise!If you thrive in startup cultures, have a passion for AI, and enjoy dynamic, fast-paced settings, we can’t wait to collaborate with you.Our Work Culture:We prioritize purposeful hiring, seeking only top-tier talent. Our compact yet formidable team operates from our San Francisco office, with additional distributed colleagues across North America.Our Core Values:Act decisively — if something can be done in hours, it can be done in minutes.Data-driven decisions — it’s okay to make mistakes; we rely on data to guide our choices.Customer obsession — our customers are the heart of our existence.Ownership — we uphold high standards and craftsmanship.Spread the magic — to many, Magic Patterns is truly 'magical.' Take pride in your contributions and enjoy the journey!Your Role:Develop and deploy high-quality, user-centric features that enhance core product valueWork collaboratively with the team to transition concepts into productionEngage in technical discussions to refine system design and architectureContinuously gather insights from user feedback and data to optimize product performance and user experience