Backend Engineer - Member of Technical Staff

Krew is revolutionizing the credit-servicing sector with cutting-edge AI-driven agents designed to enhance financial wellness. Our innovative approach is supported by notable investors such as Long Journey Ventures (Arielle Zuckerberg, Pascal Levy-Garboua) and prominent angels including Ryan Hoover (Founder, Product Hunt), Charlie Songhurst (Board Member, Meta), and Michael Jones (Former Chair, Huntington Bank Ventures). Our team consists of exceptional talent from renowned organizations including Figure Robotics, Optiver, Bain, and the United Nations, alongside top-tier engineers and researchers from institutions like the University of Chicago and Oxford. Currently, our omnichannel agents assist over 100,000 consumers on their journeys towards financial stability. Our ambitious goal is to resolve more than $1 trillion in outstanding consumer delinquencies globally, employing an empathetic and human-centric approach.Job Overview:We are seeking a talented Member of Technical Staff with a focus on backend engineering. The ideal candidate is a motivated engineer who prioritizes high-quality code and thrives in a collaborative environment driven by rapid innovation.Key Responsibilities:Architect and develop backend APIs and services that empower our AI agents and operational tools.Deliver user-facing features from conception through to deployment (including data modeling, API development, and UI integration).Enhance system reliability, observability, and performance across the engineering stack.Work closely with design, operations, and compliance teams to ensure the delivery of safe and compliant features.Write comprehensive tests, maintain code quality, and engage in design review discussions.Contribute to the evolution of our engineering standards and product development methodology.Minimum Qualifications:A minimum of 2 years of full-time professional experience in backend or full-stack engineering.Proficiency in backend development technologies such as Python or Go.Strong commitment to code quality, including testing, documentation, and code reviews.Preferred Qualifications:Experience in FinTech, Risk Management, or Compliance is advantageous but not essential.Familiarity with LLM/AI-powered products, event-driven architectures, or data processing pipelines.Knowledge of security, privacy, and compliance best practices.

About Vapi:At Vapi, we are pioneering the transition to voice as the primary interface for human interaction.Our platform offers unmatched configurability for deploying voice agents.In just two years, we have amassed over 600,000 developers, with an addition of 2,000 developers daily.Experience Vapi now!Why This Role is Essential:With a feature request every 30 minutes, we need an exceptional backend engineer to enhance our offerings.Your Responsibilities:First 30 Days: Familiarize yourself with our voice agent pipeline, a challenging yet rewarding task.First 60 Days: Take ownership of significant projects such as WhatsApp voice agents or automated reinforcement learning loops.First 90 Days: Engage with customers to design APIs that will provide lasting value and satisfaction.Who You Are:You have experienced the growth from Series B to F funding rounds.You have developed exceptional products that we admire.Bonus: You have entrepreneurial experience as a startup founder.Why Join Vapi:Generational Impact: Build the human interface for businesses across the globe.Ownership Culture: 70% of our team comprises former founders.Supportive Team: Our founders, Jordan and Nikhil, foster a kind and inclusive environment.Top-tier Investors: Backed by Y Combinator, KP Seed, and Bessemer Venture Partners.What We Provide:Equity Ownership: Competitive salary coupled with substantial equity opportunities.Comprehensive Health Plans: Medical, dental, and vision coverage.Team Bonding: Enjoy quarterly off-site events with your colleagues.Flexible Time Off: Take the time you need.Additional Perks: Catered meals, transportation support, gym memberships, and a $10,000 annual learning and development budget.

Join us as a Backend Engineer - Member of Technical Staff at fuku, located in the vibrant tech hub of San Francisco, CA. In this full-time role, you will play a pivotal part in revolutionizing compliance processes for banks and fintechs through the development of advanced AI agents. These agents mimic human analysts to navigate the web and automate critical compliance functions, including AML, KYC, KYB, and transaction monitoring. With a compensation range of $150,000 to $280,000 plus competitive equity, we are offering a remarkable opportunity for high-impact contributions within our rapidly growing engineering team.Your mission will be to build and enhance the backend and machine learning systems that inform our AI agents. You’ll tackle complex challenges like developing browser agents that interact with legacy systems, creating a global risk graph, and ensuring compliance decisions are made at lightning speed. You will have the freedom to own features from design through deployment, working in an environment that values autonomy and innovation.This role is ideal for engineers who are eager to push the boundaries of AI application, seek minimal meetings, and thrive in a small, dynamic team. If you are passionate about technology that makes a real-world impact, we want to hear from you!

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.

About UsParallel is a leading web infrastructure company empowering businesses across sales, marketing, insurance, and software development to create state-of-the-art AI agents. Our innovative products provide flexible and robust programmatic access to the web.With a successful funding round of $130 million from prestigious investors including Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain, we are assembling a stellar team of engineers, designers, marketers, and operational experts to revolutionize web technology for AI.Role Overview: As a key member of our technical staff, you will be responsible for developing and maintaining our backend infrastructure, which currently manages millions of requests daily. Your focus will be on ensuring high reliability and performance while exceeding customer expectations as we expand our services. You will also play a crucial role in maintaining our API, making it user-friendly and easy for developers to integrate.What We Seek: You possess a profound understanding of distributed systems, database management, and maintainable code architecture. Your ability to evaluate trade-offs between speed, scalability, and developer experience is essential. You are passionate about creating products and APIs that have significant real-world impact and are beloved by developers.Life at ParallelOur team operates fully in-person between our headquarters in Palo Alto and our San Francisco office. We pride ourselves on being a flat organization with a dense talent pool dedicated to tackling complex technical and creative challenges.We are looking for individuals who share our enthusiasm for applying science, creativity, and consistency to solve large, intricate problems that yield substantial outcomes. Our core values include:Customer Impact: We take ownership of delivering tangible results for our clients.Craftsmanship: We obsess over every detail, as quality compounds.Change Acceleration: We prioritize rapid shipping and swift adaptation, bringing innovative ideas to production.Win-Win Solutions: We creatively turn challenges into opportunities.High-Conviction Decisions: We embrace experimentation; we learn from failures and celebrate our successes.Compensation & BenefitsCompetitive salaryGenerous equity optionsVisa sponsorship available401K retirement plansDaily lunch and office snacks

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.

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.

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.

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.

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.

About Cogent SecurityCogent Security is an innovative Applied AI Lab pioneering the future of AI agents in the realm of cybersecurity. In a world where cyber threats evolve at unprecedented speeds, our 'AI Taskforce' analyzes vast amounts of enterprise data to proactively address vulnerabilities and avert critical breaches.We remain at the forefront of technology by merging cutting-edge research with practical applications. Our dedicated Cogent Research team fuels our mission, ensuring we develop truly effective security workflows powered by AI.Since our inception, Cogent has rapidly grown, collaborating with Fortune 500 companies to safeguard the most intricate production environments globally.Supported by Greylock, our team comprises some of the brightest minds in applied AI, including experts from:Renowned universities such as Stanford, Berkeley, Penn, Duke, Carnegie Mellon, and Waterloo.High-growth unicorn companies like Scale AI, Databricks, Stripe, Tesla, and Coinbase.Leading cybersecurity specialists from Wiz, Abnormal AI, and Zscaler.Prestigious research institutions including DeepMind and SAIL.About the RoleAs we embark on building a suite of backend services and integrations with our design partners, we seek passionate and skilled Backend Engineers at both Senior and Staff levels, eager to thrive in the Applied AI domain.ResponsibilitiesDesign and implement critical backend subsystems and integration platformsComprehend business objectives and customer requirements to engineer backend subsystems that align with our technology strategies.Adapt systems to meet evolving needs of design partners and clients.Incorporate non-functional requirements such as compliance and security into system design.Establish scalable infrastructure foundationsPrepare for future growth in customer base, headcount, and data management by collaborating with your team to enhance infrastructure.

Why Weave ExistsAt Weave, we are on a mission to revolutionize the way therapeutic knowledge is captured, transformed, and communicated throughout the drug development process. Our innovative approach combines human expertise with advanced AI tools to accelerate the delivery of safe and affordable medications to patients.The Weave Platform enhances regulatory workflows at every stage by seamlessly integrating AI technology. Partnering with our clients, Weave is dedicated to creating the ultimate AI workbench for the entire therapeutic lifecycle.The Role & Your MissionWe are seeking a talented Staff Backend Engineer to join our engineering team, reporting directly to the Backend Engineering Manager. This role requires navigating between data, AI, and backend systems to ensure the stability, performance, and reliability of our AI systems. You will be responsible for developing innovative solutions to customer challenges, analyzing outcomes, and deploying these solutions into production. Success in this position hinges on your ability to transition smoothly from conception to experimentation, testing, and production. We prioritize effective problem-solving over trends, favoring straightforward, well-tested solutions that are reliable yet impressive.What You Will OwnUnderstanding customer challenges and creating straightforward solutionsCollaborating with Product and Design teams to rapidly identify solutionsWriting efficient, maintainable code using Django, Python, Postgres, and RedisManaging ongoing technical complexities while delivering value on product initiativesWhat You'll BringExperience in an early-stage, product-focused startup environment (fewer than 50 employees)Over 8 years of experience with Django in a production settingPractical experience using LLMs in productionAbility to interact directly with LLMs without the use of abstraction librariesA humble, hungry, and intelligent approachCapacity to work quickly while delivering high-quality outcomesPragmatic and analytical thinking with efficient decision-making skillsBonus: Experience working on products in regulated domains or with critical data privacy and security requirementsBachelor's degree in Computer Science or a related field preferred

About tierzero tierzero helps engineering teams build and deploy code with greater speed and operational clarity in an AI-driven world. The company focuses on improving incident response, operational visibility, and knowledge sharing for engineers. Backed by $7 million in funding from investors like Accel and SV Angel, tierzero supports large-scale systems for clients such as Discord, Drata, and Framer. Role Overview: Founding Member of Technical Staff This role is based at tierzero's San Francisco headquarters. In-person work is required three days a week. As a founding member of the technical team, you will help design and build core products and systems from the ground up. Collaboration is central: expect to work closely with the CEO, CTO, and customers. Projects span a wide range of technical challenges and product areas. What You Will Do Design and implement intelligent AI systems that process and reason over large volumes of unstructured data. Develop full-stack features, incorporating direct feedback from users. Improve the product experience so intelligent agents are practical and reliable for engineers. Create systems that automatically evaluate LLM outputs and refine agent reasoning using self-play and feedback loops. Build machine learning pipelines covering data ingestion, feature generation, embedding stores, RAG pipelines, vector search, and graph databases. Prototype and experiment with open-source and advanced LLMs to weigh different approaches. Set up scalable infrastructure for long-running, multi-step agents, including memory management, state handling, and asynchronous workflows. What We Look For At least 5 years of professional or open-source experience in a relevant technical field. Comfort working in a setting that changes and evolves quickly. Strong product focus and an understanding of customer needs. Interest in LLMs, MCPs, cloud infrastructure, and observability tools. Ability to learn from and collaborate with engineers who have delivered over $10 billion in value. Commitment to working onsite in San Francisco three days per week. Startup experience is a plus.

Tzafon is at the forefront of machine intelligence, specializing in the development of scalable compute systems. With offices located in San Francisco, Zurich, and Tel Aviv, we have successfully secured over $12 million in funding to push the boundaries of machine intelligence.Our dynamic team consists of engineers and scientists with profound expertise in machine learning infrastructure and research. Founded by experts with accolades such as IOI and IMO medals, PhDs, and backgrounds from top tech companies, we are dedicated to training models and constructing infrastructure that empowers swarms of agents to automate tasks in real-world scenarios.Your Responsibilities:Design, version, and manage core APIs within our systemsOrchestrate processes ensuring isolation, quotas, and safety measuresImplement approval mechanisms along with audit and replay functionalitiesEstablish observability through OpenTelemetry spans, logs, metrics, and replayable tracesEnhance reliability through SLOs, autoscaling, backpressure, and retry mechanisms

About YouAs a remarkable builder, you seek significant responsibility and impact, boasting a proven track record of insightful and practical decision-making. You have designed, constructed, and sustained backend systems that effectively address intricate challenges with straightforward and resilient code. Passionate about overcoming new obstacles, you excel at identifying third-party tools that align with our needs, while efficiently creating solutions that are scalable and capable of managing edge cases. You genuinely enjoy the process of building and are eager to contribute as a vital team member among like-minded individuals.ResponsibilitiesDevelop the foundational systems that deploy our machine learning capabilities in both training and production, establish metrics systems for swift iteration and analysis, and assist in enhancing the performance of both through your judgment in optimizing for changing technical and product needs.Lead technology and architectural decisions for Additive's core services, which will empower us to quickly build and refine user experiences that enable our clients to excel in their work.Design and implement the integration of ML inference, monitoring frameworks, Large Language Model (LLM) interactions, application layers, and tax-related business logic into our primary systems.Establish database layers that support business logic and applications within our systems, along with a data integration strategy involving external vendor APIs and interfaces.Collaborate with the team on effective CI/CD systems to accelerate our collective progress.Engage directly with accountants to understand their requirements and how we can best create a product they will truly appreciate.Expected to operate independently and with sound judgment to deliver substantial value while navigating both technical and market constraints.RequirementsA minimum of 5 years of experience working on backend systems with significant ownership over what was built and the rationale behind it, preferably for systems handling substantial data or ML workloads.Familiarity with ML concepts and experience integrating ML inference and monitoring functionalities into business applications.Proficient in Python, cloud platforms such as GCP/AWS, container technologies (e.g., Docker, Kubernetes, serverless architectures), and various database and storage solutions (e.g., Postgres, SQL, S3/GCS, Redis).This position requires full in-person attendance five days a week in downtown San Francisco.

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.

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.

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.

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.