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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Previous experience working inside innovative, high-growth environments  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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The Company   Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role Metropolis is seeking a Senior Machine Learning Software Engineer to accelerate the development of our proprietary computer vision and machine learning software that powers our mobility products.  As part of the Metropolis Machine Learning Team, you will be responsible for the development, deployment, and ongoing optimization of edge-deployed software. These systems are foundational to the Metropolis platform and have correspondingly large potential impacts on Metropolis and its customers.  You will find this to be a challenging opportunity filled with unique technical and operational considerations while being able to learn from and leverage our existing Computer Vision based development and operational ecosystem.  The right candidate will possess a strong background in C++ and OpenCV, experience with computer vision and ML on edge / embedded systems, and demonstrated experience taking complex software systems from concept to production.  You can expect to be working on all stages of the software development pipeline – from problem analysis and design to prototyping and deployment.  You should be able to thrive and succeed in an entrepreneurial setting, working collaboratively in a fast-paced environment with multiple stakeholders.  You won’t be afraid to break new technological ground at Metropolis and are more than willing to roll up your sleeves, dig in and get the job done.   Responsibilities Work with the Machine Learning Team to design, develop, improve, and optimize computer vision, machine learning and application software on edge devices using C++.  Participate in all phases of embedded software development, from concept and design to deployment and maintenance.  Identify top-level software requirements and establish development best practices.  Deliver high-quality C++ code in a real-time embedded environment.  Perform optimization on Machine Learning models targeting different hardware accelerators e.g. CUDA cores, Qualcomm DSP, etc.  Implement, manage, and support over-the-air software updates to edge systems.  Communicate ideas and results effectively, verbally and in writing, to a wide range of technical and non-technical audiences.    Qualifications  BS, MS, or Ph.D. in a Computer Science and Engineering or relevant discipline.  5+ years experience in modern software design, development, version control, refactoring, and testing  5+ years of experience with C++17 onward and a strong understanding of object-oriented programming  3+ years of experience working with C++ OpenCV, SQLLite and MQTT.  Experience in parallel computing, accelerator architecture, CUDA, Qualcomm DSP, and TensorRT libraries.  Experience with ARM Cortex series microcontroller  Excellent written and verbal communication skills with a proven ability to present complex technical information in a clear and concise manner to a variety of audiences  Previous experience working inside innovative, high-growth environments  Strong preference for candidates to be local to the Seattle area. Will also consider candidates in Los Angeles, Seattle, and New York.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $170,000.00 to $200,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-AR1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. Some examples of things you will do:Build and maintain APIs and UI flows for web + mobile in Svelte/SvelteKit, TypeScript.Design interactive, responsive front-end experiences—drag-and-drop, real-time canvas polish, smooth and responsive UI animations.Optimize frontend performance: minimize render latency, profile UI with virtual DOM techniques, deliver seamless WebSocket image streams.Design and maintain backend services (Node), DB models (Postgres + Redis caching/pooling).Kickstart a Public API project to serve Krea AI models to millions of developers.Diagnose HTTP/3 and WebSocket related issues both on the client side and the server side.Drive real-time image & video generation pipelines via low-latency APIs.Improve observability and alerting using OpenTelemetry tools.Implement enterprise features: Audit Logs, SAML/SSO, SCIM provisioning.Bonus: Scale our infra architecture through deep understanding of our AWS EKS GPU clusters or Kubernetes operators.Strong candidates may have experience with the following:Solid full-stack JS/TS engineer with frontend focus—component design, UI state, animations, client performance.Experience with SvelteKit or similar frameworks, real-time UI via WebSockets.Comfortable designing APIs, database schemas, caching strategies.Familiar with infra and scale: Kubernetes, Postgres, Redis, observability stacks.Side projects or open‑source contributions in UI/infra are plus.Bonus: prior work on enterprise auth features, GPU workloads, ML or image/video pipelines.Stack:Frontend: Svelte/SvelteKitBackend: Node + TypeScript, Postgres, RedisRealtime: WebSockets, HTTP/3Infra: AWS EKS GPU clusters, KubernetesObservability: Prometheus, OpenTelemetry, Axiom/HyperDXTools: GitHub, Slack, Notion

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. About the CompanyAt Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Ecology / Environment Science, you’ll have the opportunity to collaborate on these projects.Although every project is unique, you might typically: Generate prompts that challenge AI. Define comprehensive scoring criteria to evaluate the accuracy of the AI’s answers. Correct the model’s responses based on your domain-specific knowledge. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Bachelor’s degree plus 6 years of relevant experience in Ecology, Environmental Science, or a related field. You hold a Master’s or PhD in Ecology, Environmental Science, or a related field, along with 3 years of relevant work experience. Your level of English is advanced (C1) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $50/hour depending on your skills, experience, and project needs. Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

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Who We Are  PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit You’ll work closely with our development squads while helping to lead and coordinate the efforts of our SDET team. As a key point of contact between engineering and quality, you’ll bring visibility to testing activities, drive process improvements, and ensure that quality remains a priority throughout the development lifecycle. This role is ideal for someone who’s hands-on, collaborative, and ready to take ownership of how we build and verify great products. What You’ll Do  Take ownership of quality assurance processes across multiple development squads Collaborate closely with engineering leadership and product teams to align on quality goals Track development progress and manage the QA testing backlog Write and maintain manual test cases for new and existing features when needed Support test automation by providing test data, building fixtures, and running exploratory tests Oversee the verification process, including documentation updates and compliance activities Maintain end-to-end test traceability from requirements through test execution Monitor CI/CD pipelines, investigate failures, and communicate issues to the engineering team Represent the SDET team in squad meetings and share quality status, risks, and metrics Work from our office in Boston (2+ days/week in office if local) or remotely from the United States on Eastern or Central hours) What You Bring Strong organizational skills and attention to detail Clear and effective communication, both written and verbal Ability to quickly learn and adapt in a fast-paced environment 1-2 years programming experience (e.g., Python or TypeScript) Understanding of test automation concepts Familiarity with modern testing frameworks such as Playwright or Cypress Experience with CI/CD tools like GitLab, GitHub Actions, or CircleCI Experience with Jira for test and issue tracking Background in Agile or Scrum development environments A collaborative mindset and a proactive approach to solving problems Nice to have: Experience in regulated industries (e.g., medical devices, finance, aerospace) Familiarity with advanced test management tools (e.g., Xray, Zephyr) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Senior Data Scientist in our Defence business unit you will lead project teams that deliver bespoke algorithms to our clients across the defence and national security sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.You will play an important role in the development of others at Faculty by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Senior experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillA leadership mindset focussed on growing the technical capabilities of the team; a caring attitude towards the personal and professional development of other data scientists; enthusiasm for nurturing a collaborative and dynamic cultureAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods with  powerful new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We're looking for a skilled and experienced translational scientist program manager to join our team and help support the execution of PathAI’s business and academic partnerships, including strategic projects, external collaborations and internal initiatives. The Translational Science Lead will work closely with machine learning, biomedical data sciences, product development, and business operations teams to ensure that our scientific project goals are being met, and that we and that we are maximizing our platform’s capabilities. The Translational Science Lead will be responsible for the day-to-day operations of current project relationships and supporting the development of new activities, as well as lead internal scientific strategy within disease areas. What You’ll Do Responsible for the scientific and strategic development of company projects. Drive and uphold rigorous scientific standards, bringing consistency to the analyses you encounter and ensuring our discoveries are adequately reviewed. Apply cutting edge approaches towards understanding disease biology to improve precision medicine and biomarker development. Solve interesting problems with machine learning and data science. Oversee day-to-day technical developments and manage relationships with internal and external stakeholders Collaborate across a range of groups - product, design, engineering front-end, machine learning, business operations, and infrastructure teams. Recommend new features for internal and external users, and improve existing ones to enhance the user experience. Drive the prioritization of our platform development, considering the team and our future roadmap. Mentor, learn, and share knowledge with others along the way. What You Bring 5+ years of experience in biotech, pharmaceutical or medical device industries. Advanced degree in life sciences or biomedical engineering-related disciplines required, PhD preferred. Ability to process quantitative datasets and broad comfort with statistics. Intellectual curiosity and the ability to learn quickly in a complex space. Strong organizational skills and experience managing project timelines We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.    #LI-Remote   

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.What we're looking forIn this role, you'll build the next-gen platform to verify the origin, quality, and factuality of the world's information. The ideal intern candidate is someone who is a voracious learner, has a history of building applications from the ground up, and can break down complex challenges.You'll be working on a fast-paced team of passionate builders and partnering closely with our ML and design teams, to create industry-defining software that has attracted over 2M users globally. Past intern projects have been the focus of demos to VCs and state-level policy leaders.ResponsibilitiesBuild and deploy high-impact, intuitive, AI-driven web apps in React, Node, and TailwindDevelop top-requested features from our users on our dashboard, chrome extensions, and APIUtilize product analytics to make data-driven product decisionsCollaborate with our ML, design, and business teams to develop new product initiativesWear multiple hats and work across the product stackQualificationsComfortable building end-to-end experiences from backend to CSS+2 years of experience with modern web frameworks (Express, Next.js, Typescript, and React)+1 years of experience with databases (PostgreSQL, AWS RDS)Highly motivated to make positive societal impactWork with 5 hours of overlap with Eastern Standard TimeBonus:strong open-source portfolioexperience working in an early-stage startup environmentexperience as a peer-edited writerWho you'll be joiningOur TeamYou will be working directly withAlex (our CTO) R&D at Uber self-driving division and Facebook, 3 patents in MLEdmond (our fullstack lead) Obama Foundation Scholar at Columbia University and Editor-in-chief of The Andela WayOlivia (our head of design) on translating your research into outputs for millions of users. Edward (our CEO, ex-Bellingcat, Microsoft, BBC investigative journalism) to craft the messages we send to our community, and shape the GPTZero brand.Additionally, you will be working with an experienced (eg. ex-Google, Meta, Microsoft, Bloomberg ML, Uber, Vector, MILA), diverse (eg. an engineering team with both Y-combinator and Obama scholarship recipients, a designer with art featured in the Met), and driven (eg. an operator who has scaled a company to 100M+ revenue and is committed to doing it again) group of individuals, described by one investor as one of the strongest founding teams seen in their career.Together, we are committed to making a permanent impact on the future of writing, and on humanity.Our Angels and Advisors Tom Glocer (Legendary Reuters CEO)Mark Thompson (Legendary NYT CEO and current CNN chief executive)Jack Altman (CEO of Lattice, brother of Sam Altman)Karthik Narasimhan (Princeton NLP Professor, co-author of OpenAI’s original GPT paper) Emad Mostaque (CEO of Stability AI)Doug Herrington (CEO of Worldwide Amazon Stores)Brad Smith (President of Microsoft)Tripp Jones (Partner at Uncork Capital)Ali Partovi (co-founder of Code.org, early investor in Dropbox and Airbnb)Russ Heddleston (CEO of Docsend)Alex Mashrabov (Snapchat, Director of AI)Faizan Mehdi (Affinity, Director of Demand Generation)Our Perks🏥 Health, dental, and mental health benefits💻 Hybrid work in Toronto and NYC offices🚀 Competitive salary🏝 Flexible PTO🎉 Regular company retreats💡Mentorship opportunities with our world-class team, advisors, and investors🙌 Wellness and learning stipend

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About IntangibleIntangible is a spatial intelligence AI company for creatives in film, advertising, events, marketing and interactive media. We make constructing 3D experiences dramatically faster, cheaper and more collaborative for creative, distributed teams. We are an interdisciplinary team of engineers, artists and designers that have built and shipped multiple end-to-end products at companies like Apple, Unity, Pixar, ILM and Electronic Arts. Intangible is seed funded by a16z Speedrun, Crosslink Capital and prominent angels.We are a design-obsessed team shipping a groundbreaking product — and we’re looking for someone who shares our attention to detail and love of craft in building fun things. If you’ve been looking for something with actual creative freedom and real impact I promise you - this is it. General InterestWe’re always excited to meet talented, driven individuals who want to shape the future with us. If you don’t see an open role that matches your expertise but believe you’d be a great fit for our team, we’d love to hear from you!Submit your application and we’ll keep your details on file. When the right opportunity comes up, we’ll be sure to reach out.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium. This jobWe're looking for a machine learning engineers who can work on large-scale image and video models training experiments..Some stuff you can do:Train foundation diffusion models for image and video generation.Train controllability modules such as IPAdapters or ControlNets.Develop novel research techniques and put them into production.Conducting large-scale experiments on high-performance computing clusters, optimizing data pipelines for massive image datasetsExample experience and skills we’re looking forProven track record in working with image or video models at scale (publications or open-source contributions a plus)Strong background in deep learning frameworks and distributed training paradigms.Ability to iterate rapidly, and propose creative research directionsA bit more about usWe’ve raised over $83M and are backed by world-class Silicon Valley investors such as Andreessen Horiwitz, and the cofounder of the Meta AI Research laboratory (FMK as Facebook AI Research) or founding members of OpenAI.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI. If you see possibilities where others see limits, read on.About the RoleYou’ll be one of the very first engineers shaping our core product and reimagining how people integrate AI companions into their day-to-day workflows. Expect to:Think from zero. Whiteboard the concept in the morning and demo it by evening.Own the stack. Backend, frontend, model orchestration, observability—whatever removes friction between idea and shipped product.Bridge research and delight. Sit beside scientists, translate breakthroughs into polished consumer experiences, and push them to production in days, not quarters.Define the bar. Establish the engineering, design, and reliability standards that every future hire will follfow.Move markets. Your features won’t live in a sandbox—they’ll redefine how everyday people trust and collaborate with AI.You’ll be leading initiatives from conceptual design to production deployment, iterating quickly and putting real user feedback at the heart of product decisions. Key ResponsibilitiesCraft end-to-end experiences: Design, code, and ship full-stack features—Python, TypeScript, Postgres, GPU infra—whatever it takes. Design the MCP schema: Create flexible, extensible JSON-based models that represent property context, room types, policies, branding, and more. Integrate core booking systems: Build robust connectors to PMS, CRM, messaging platforms, and booking enginesBuild internal and partner-facing APIs: Develop secure, scalable APIs that ingest, structure, and serve hotel context to downstream AI agents. Engineer for trust: Single-digit-ms paths, sandboxed execution, telemetry everywhere—four nines or it’s broken. Invent agentic primitives: APIs, eval harnesses, and safety guardrails that let wild research ship to millions. Listen, iterate, delight: Sit with users, absorb the pain, and turn feedback into joy—fast. What You BringMust HavesMore than 5 yrs years of professional software engineering experienceStrong backend fundamentals: REST API architecture, distributed systems, cloud deploymentProficiency with JavaScript, React, and other web technologiesProficiency with a backend language (we use Py C. B thon)Some experience with relational databases like Postgres/MySQLDeep experience integrating 3rd-party APIs and building data abstraction layers (bonus: hotel/hospitality tech exposure)Working knowledge of LLM pipelines, embeddings, and context windows (LangChain, OpenAI Assistants API, etc.)Proven ability to thrive in fast-growing, product-driven companies by effectively navigating loosely defined tasks and managing competing priorities or deadlines.Nice to HavesFamiliarity with travel tech (e.g. Mews, SynXis, Oracle Opera, Cloudbeds)Experience designing or managing structured knowledge graphs or JSON schemasExperience with LLMs, prompt engineering, or function callingFormer founder, or early engineer at a startup who has built a product from scratch is a plusInterest in AI/ML (direct experience not required)

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role [The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]  We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists and campaign managers to improve RTB (Real-Time Bidding) campaign performance through model enhancements, strategic insights, and cross-team collaboration. You will have the opportunity to run large-scale A/B testing experiments on billions of ad requests daily, identify key signals that drive performance, and shape the optimization direction based on real-time data and industry trends. This is an ideal opportunity for someone who is passionate about advertising technology, machine learning applications, and performance marketing. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Analyze competitor strategies and market trends to identify optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Collaborate with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across teams. Qualifications: Education: Background in Engineering, Data Science, Marketing, or related fields is a plus. Availability: Must be available full-time; based in TW preferred. Language Skills: Proficient in English and Mandarin; able to clearly articulate ideas and findings across technical and non-technical audiences. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus.   #LI-AK1

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.About the roleThis is an exciting opportunity to join Faculty as the most senior data scientist in its recently formed Professional and Financial Services Team. As the Lead Data Scientist, you’ll have an opportunity to shape a technical vision and guide the senior and junior data scientists on your team. Working collaboratively, you will oversee project teams that deliver high-impact AI solutions that are differentiated and compelling. You will also lead project teams delivering enterprise-scale applications for a range of clients, including major banks, asset managers, insurers, law firms, and B2B services.Maintaining ownership of the data science approach, you will own the technical vision for your projects, partner directly with clients to shape strategy, and play a crucial part in mentoring the next generation of data science talent at Faculty.What you'll be doingProject Leadership:Guide the technical delivery of custom data science solutions for clients, from initial discovery to deployment in productionOwn the end-to-end data science approach, designing and implementing the appropriate techniques - from classic to AI agents using LLMs - that are designed, optimised and applied at scaleDesign robust and scalable software architecture for the solutions you build, ensuring best practices in engineering and MLOps are followed.Partner with our commercial team and clients to build strong relationships, acting as a trusted technical advisor.Articulate intricate technical concepts and strategic decisions clearly and effectively to diverse audiences, from client-side engineers to C-suite executives.Team Mentorship:Formally manage and mentor a number of data scientists, taking responsibility for their career progression and professional growth.Provide targeted technical support and learning opportunities for data scientists on your project teams.Contribute to sustaining our culture, creating an atmosphere of collaboration and setting a high standard for performance and technical excellence.Technical LeadershipEstablish a distinct and differentiated data science vision for professional and financial services, and communicate that vision through external thought leadership and in potential client presentations.Partner with our commercial team to ensure potential projects and programmes of work are appropriately resourced, balancing client delivery, colleague wellbeing, and commercial imperatives.Keep abreast of the latest technical and technology advancements, share these with others in the organisation, and identify how they can help drive Faculty forward.Who we're looking forYou have deep technical expertise in machine learning and a command of diverse methodologies, with a solid grasp of data science and statistical techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysisAn excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch)Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in consulting would be a bonus.You possess proven experience leading data science projects and making key decisions on technical direction and architecture.You are an exceptional communicator, capable of building rapport with clients and translating complex ideas into clear, actionable insights.You have a strategic mindset, with a grasp on key financial services sector trends that informs a compelling technical vision.You are passionate about developing people and have experience mentoring or managing other technical professionals.You are motivated to contribute to the wider data science community. We will actively support you in building your professional profile by speaking at major conferences, delivering courses, or contributing to open-source projects.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About BreeBree is a consumer finance platform that brings better, faster, and cheaper financial services to over half the Canadian population who live paycheck to paycheck. We operate in a huge, but overlooked market in a country with the least amount of financial technology innovation in the developed world. Our first act is to become the cheapest and best provider of short-term credit to the 20 million people in Canada who live paycheck to paycheck.More than half a million Canadians have already signed up with Bree, and we believe we are just scratching the surface. We are in an exciting place where we have product market fit, explosive growth, and a clear path to becoming one of the most important FinTechs in Canada.We have $5M ARR per full-time engineer, growing at a double-digit monthly rate, profitable, and have had 0 voluntary employee churn. We were part of Y Combinator in 2021 and raised a $2M seed round shortly after.About the RoleBree is on a mission to build the best AI native engineering team. As a new graduate joining us in 2026, you'll be part of a high-growth environment where you'll learn to build scalable systems while leveraging AI tools to accelerate your development and problem-solving. Our ideal candidate is a smart, high-potential recent grad who is AI native, comfortable integrating AI into their workflow to ship code efficiently and reliably. Read more about AI native engineering teams here.What You'll DoContribute to building scalable backend systems to handle high-throughput financial transactions in a fast-paced FinTech startup.Collaborate on designing and implementing features, incorporating AI tools to automate testing and speed up development cycles.Help ensure system reliability through monitoring, debugging, and scaling efforts to support a growing user base.Work closely with the team to solve real-world problems, learning best practices in software engineering along the way.What You'll NeedA strong foundation in computer science fundamentals, such as data structures, algorithms, and software design, ideally demonstrated through academic projects, internships, or personal initiatives.Enthusiasm for backend development and an eagerness to learn modern tools and practices in a regulated environment.Familiarity with or interest in using AI tools to enhance coding efficiency and innovation.Excellent problem-solving skills, a growth mindset, and the ability to collaborate in a supportive, low-churn team focused on excellence.BenefitsTop of the market compensation for top performers$1,500 annual learning stipend$1,000 annual wellness stipend$250 monthly lunch stipendComprehensive insurance coverage2 annual company retreatsParental leaveUnlimited PTO

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Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on client side, experience in implementing complex UI interactions is ideal. FE only experience is OK if you are happy to occasionally help out with BE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. We are looking for a user-centric Product Designer who has hands-on experience building complex but intuitive digital products. As a Product Designer at Abridge, you would work with our team of product managers, engineers, researchers, and creatives to craft high-quality products that continue to transform care delivery experiences. You will work with complex and regulated workflows, which include establishing design standards, systems, and processes for our AI-powered healthcare product. What You'll Do:As our Product Designer, you’ll shape the product experience at Abridge, setting a high bar for taste, clarity, and strategic thinking across initiatives that directly impact clinicians, patients, and care teams.You’ll collaborate deeply with cross-functional partners, immerse yourself in the complexity of clinical workflows, and bring structure and empathy to ambiguous problems. Whether you’re prototyping new ideas or refining existing features, you’ll advocate for design excellence at every stage of the product lifecycle.Simplify the Complex: Tackle our most challenging and ambiguous design problems, transforming complex clinical workflows and AI capabilities into intuitive and delightful user experiences.Elevate Our Craft: Push the boundaries of visual and interaction design. You have an extremely strong command of design principles, motion, and prototyping, ensuring every pixel and interaction is meticulously considered and executed to perfection.Lead End-to-End Design Execution: Design for today’s needs and tomorrow’s challenges, translating early ideas into concrete, high-fidelity designs, prototypes, and user flows. No task is too small or too large when it comes to building exceptional products.Champion User-Centered Design: Advocate passionately for our users—clinicians who rely on our product daily. Engage in user research, synthesize insights, and ensure that every design decision is rooted in a deep understanding of their needs and pain points.What You'll Bring:5-10+ years of experience shipping impactful product design in complex domains. Bonus points for AI experience.A proven track record of leading significant design initiatives from concept to launch, demonstrating measurable impact on user experience and business outcomes.A high craft bar that you consistently meet and exceed. You sweat the details and inspire others to do the same.Exceptional communication, presentation, and storytelling skills that enable you to articulate design rationale and influence stakeholders at all levels.A highly collaborative spirit and a low ego, with a genuine desire to learn, teach, and grow with a fast-paced, high-performing team.Ideally, you’d have experience with:AI/ML productsConsumer mobileEnterprise product experienceThis is a hybrid role requiring a minimum of 3 days per week in our San Francisco office, with flexibility for remote work on other days. Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.