Elevenlabs jobs

AI Scientist London, United Kingdom posted: Posted 28 Days Ago

Machine Learning Intern - AI Agents Conversational AI Hong Kong, STP posted: Posted 30+ Days Ago

Chief of Staff San Francisco HQ | OnSite ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest - and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other. Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle - calculation, registration, filing, remittance - at millisecond latency with zero downtime. - Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable. - Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office. - The problem keeps compounding.Expanding into input tax, withholding, e-invoicing, tariffs - each multiplies the complexity. Tens of millions of transactions today, billions ahead. THE ROLE We're looking for a swiss army knife / Chief of Staff to work directly with our CEO at Sphere https://www.getsphere.com/. You'll be an extension of Nick, helping him across GTM, Ops, Finance, Tax and more. It will be intense (our Founder is an intense person) but you'll learn more than you would in any other role. WHAT

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Founding CSM San Francisco HQ | OnSite ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest - and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other. Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle - calculation, registration, filing, remittance - at millisecond latency with zero downtime. - Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable. - Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office. - The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs - each multiplies the complexity. Tens of millions of transactions today, billions ahead. THE ROLE You'll be the first CS hire at Sphere, which means you're not stepping into a function; you're building one. The role spans the full customer lifecycle, from resolving technical issues to expanding contracts, but the bigger mandate is creating the systems, processes, and playbooks that a future team will run on. You'll get deep on cross-border compliance,

Research Intern - AI Hardware Redmond, WA, US

Business Development Representative San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role This is a full-time role located in San Francisco, CA. As a Business Development Representative (BDR) at Bland, your primary responsibility will be driving pipeline and growing net-new business. You'll actively prospect, qualify, and pass meetings to our AEs to move deals forward. We're a startup, and we need people who understand what that means. We aren't a super traditional team, but we are an extremely effective one. We love unique backgrounds, hardworkers, and intelligent people who take pride in everything they do. What Makes You a Great Fit - Preferably 1+ year of SaaS BDR experience - Startup experience is a plus, especially in Enterprise SaaS - Comfortable understanding and communicating around complex technical problems - Experience in business development and customer relationship management - High level of agency-able to figure things out, build new processes, and just get it done - Bachelor's degree is preferred but not required - Comfortable with cold outreach (calls, emails, LinkedIn, etc.) Benefits and Pay: - Healthcare, dental, vision, all the good stuff - Meaningful equity in a fast-growing company - Every tool you need

Scientist, Lab Operations Beijing, China posted: Posted 30+ Days Ago

Licensed Therapist New York, NY, USA Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. Who are we, and why should you join us? Slingshot AI is on a mission to transform mental health care through the power of AI. Our app, Ash, meets patients where they are - and now we're building the human layer to match. We're launching a clinical research initiative to study how Ash paired with real therapy supports patient outcomes, and we're looking for licensed therapists who want to help shape how the product is tested and built. Who Should Apply? - Clinicians looking for a structured, time-limited contract - 4-week patient engagements with a defined scope - Clinicians who are fully licensed and carry their own liability insurance (LPC, LMFT, LCSW, or equivalent)

Junior Brand Manager Neuroscience Brussels posted: Posted 30+ Days Ago

Multimedia Creative Manager London (hybrid), London, United Kingdom About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry - which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best,

Intern – Assistant Scientist (large molecule) Shanghai China posted: Posted Yesterday

Experience Designer - UI/UX Ireland - Dublin About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Overview The Solutions Center of Excellence team is seeking an Experience Designer to design intuitive, high-quality demo experiences and tooling that enable Solutions Engineers and Sales teams to effectively communicate our products. In this role, you will work alongside Product, Engineering, and stakeholders to understand user needs, translate complex product capabilities into clear and compelling demo experiences, and design solutions grounded in insight and aligned to product strategy. You will work across the full design process - from discovery, through prototyping, testing, and delivery - helping to improve the clarity, consistency, and effectiveness of our demo ecosystem. Our design team plays a strategic role in creating polished demo experiences and internal tools that help Solution Engineers communicate product value in high-stakes sales and customer-facing moments. You will help ensure our demos are intuitive, scalable, and evidence-led, enabling

Internship - Machine Learning and Data Analytics Singapore

Founding Forward Deployed Engineer San Francisco HQ | OnSite ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest - and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other. Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle - calculation, registration, filing, remittance - at millisecond latency with zero downtime. - Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable. - Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office. - The problem keeps compounding. Expanding into input tax, withholding, e-invoicing, tariffs - each multiplies the complexity. Tens of millions of transactions today, billions ahead. THE ROLE As the Founding Forward Deployed Engineer at Sphere, you'll embed directly with Sphere's most strategic customers to understand their cross-border business workflows, identify the highest-impact compliance challenges, and design and deliver custom solutions that make Sphere fit seamlessly into their operations. You won't just be executing a playbook, you'll be defining it as you go.

Machine Learning Intern - 2026 Hong Kong, STP posted: Posted 23 Days Ago

Founding Growth Lead San Francisco HQ | OnSite ABOUT SPHERE Every breakthrough in trade infrastructure has followed the same pattern: reduce a transaction cost, expand the market. Containerization for goods. SWIFT for money. Stripe for payments. Compliance is one of the last and largest - and the hardest, because trade rules aren't data to be looked up. They're a complex adaptive system with 190+ sovereign jurisdictions, in different languages, changing constantly, reacting to each other. Sphere built the system that solves it. Our AI (TRAM) ingests global trade law, interprets it, resolves conflicts across jurisdictions, and produces compliance determinations more reliable than human experts. We handle the entire lifecycle - calculation, registration, filing, remittance - at millisecond latency with zero downtime. - Backed by a16z and YC. $21M Series A, 30%+ month-over-month growth, customers include ElevenLabs, Replit, Deel, Runway, and Lovable. - Small team, global surface area. Everyone owns a domain that would be a full team at a larger company. San Francisco, five days in office. - The problem keeps compounding.Expanding into input tax, withholding, e-invoicing, tariffs - each multiplies the complexity. Tens of millions of transactions today, billions ahead. THE ROLE Sphere is looking for a Founding Growth Lead based in San Francisco to work closely with the Founder to help amplify our brand messaging, build out our direct and partner channels, establish our presence in numerous international markets and take us to $100m+ in ARR. WHAT YOU'LL DO - Fuel and build out our direct channels: -

Machine Learning Intern - 2026 Hong Kong, STP posted: Posted 30+ Days Ago

Member of Technical Staff, Production London, United Kingdom Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Member of Technical Staff focused on Production Engineering, you will build the platform that powers Ash at scale. You'll work across voice and AI stacks, internal services, and the data systems around them, improving observability, deployment, and platform tooling to scale reliably. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders who care deeply about the quality of

Business Operations (Intern / Working Student) Lausanne | OnSite Adaptyv is building an automated lab thats let AI agents run biology experiments. We're entering the era of agentic science where AI models can now design novel proteins, propose hypotheses, and iterate on experimental results. But they can't run the experiments themselves - that's still a manual, months-long process. We're building the infrastructure that gives AI agents access to the physical world. We are one of the fastest growing biotech companies, trusted by leading biopharmas, frontier AI labs, and the techbio companies pushing the field forward. This is a rare chance to help advance some of the most important work happening in biotech today. Our automated lab is powered by a deep software + hardware stack: lab instruments worth millions of USD reverse-engineered into API-controllable hardware, dozens of devices orchestrated through complex workflows, full observability on everything that happens in the lab, processing pipelines for messy physical-world data, and AI systems that troubleshoot production results and accelerate assay development. We're growing rapidly and are hiring for talented people to scale and support the massive demand for AI-driven wet lab experimentation. ABOUT THE ROLE Adaptyv is growing fast. We are significantly expanding our lab this year, onboarding more and more customers every week, and building the systems needed to keep the company running smoothly as we scale. We are looking for a Business Operations Intern or Working Student to join our operations team in Lausanne. This is a hands-on generalist role where

Associate Member of Technical Staff, Platform Team London, United Kingdom Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role We're looking for early-career engineers who are exceptional builders. You're a year or two into your first job, and you have evidence already that you're brilliant, that you build, and that you're on a fast growth trajectory. As a member of our platform team, you'll build tooling that enables our internal team and our collaborators to build our foundation model for psychology, and build Slingshot as an AI-native company. You'll learn fast and build constantly. Examples of things you may work on include our "devboxes" that enable people less familiar with the codebase (like designers) to ship for themselves; enabling our trust and safety team; working closely with

Intern – Assistant Scientist (small molecule) Shanghai China posted: Posted Yesterday

Associate Creative Director, Customer Stories New York, NY (HQ), New York City, NY, USA About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you've built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 5% and grows revenue 16% in their first year - far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role The Creative Director for Customer Stories will set the creative standard for the program, leading the charge on how we celebrate the compelling people and businesses building on Ramp. You'll own the story bar, bringing narrative clarity, and filmmaker-level craft to every project. Your job is to define the program's creative principles, write the treatments, and direct a bench of filmmakers and animators. You'll apply deep production knowledge to govern our tiers and actively push to break the mold

Senior Infrastructure Engineer San Francisco About Bland At Bland.com http://Bland.com, our goal is to empower enterprises to make AI-phone agents at scale. Based out of San Francisco, we're a quickly growing team striving to change the way customers interact with businesses. We've raised $65 million from Silicon Valley's finest; Including Emergence Capital, Scale Venture Partners, YC, the founders of Twilio, Affirm, ElevenLabs, and many more. About the Role As a Senior Infrastructure Engineer at Bland, you'll help us to build the backbone that enables millions of AI-powered phone conversations. You're not just keeping servers running, you're architecting distributed systems that handle real-time voice processing, scale ML inference, and integrate with enterprise telephony infrastructure. Your work directly determines whether our platform can handle business-defining call volumes for our customers, or leaves them with dead air. What You'll Do - Contribute to the designing of scalable architecture: Build distributed systems using Kubernetes that handle high-volume, real-time voice processing with strict latency and reliability requirements. - Build and Support ML infrastructure: Create and optimize the infrastructure supporting our AI models, from training pipelines to real-time inference serving across multiple regions. - Integrate with telephony: Maintain robust connections between our platform and complex enterprise phone systems, SIP trunks, and VoIP infrastructure. - Recognize Flaws, Control for them: We're building a new type of architecture that takes something from Column A, and Column B. We're never going to get it perfect, so you'll be helping us keep a look out for what we need to