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About the TeamThe Payments Team is working to make AGI financially sustainable by enabling OpenAI to accept payments across our existing products (ChatGPT, ChatGPT for Teams, API) and supporting future commercial experiences. We own the user-facing payments experience, direct integrations with payment service providers, and other supporting infrastructure that powers checkout and payment flows. Payments works closely with teams across Finance, Legal, Growth, Product, external vendors and more to ensure our payments infrastructure scales with the business and supports evolving commercial goals.About the RoleAs a Software Engineer on the Payments Team, you will play a pivotal role in shaping the infrastructure that powers OpenAI’s financial systems. You’ll design and build core payments systems, partner with cross-functional teams to deliver scalable solutions, and ensure that our financial systems support rapid product iteration and global reach. We’re looking for people who are pragmatic, collaborative, and energized by the opportunity to build systems that are foundational to OpenAI’s long-term mission and sustainability.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Architect, implement and scale core payment infrastructure.Build robust and extensible financial primitives to enable rapid iteration and support hyper-growth.Collaborate closely with internal and external stakeholders (e.g. Finance, GTM, Product, etc) to translate business requirements into clean, scalable technical systems.Demonstrate high levels of ownership to get changes shipped in the highly-regulated domain of payments.Create a seamless user experience for checkout around the world.Improve the reliability, observability and auditability of money movement at OpenAI. You might thrive in this role if you:Have 5+ years of professional experience in software engineering, ideally with a focus on payments or financial systems at scale.Are familiar with payment processors (e.g., Stripe, Adyen, Braintree) or have built similar internal financial systems, e.g. storing cardholder data, pricing, online commerce, etc.Bring a strong product mindset and a desire to deeply understand product needs and design for long-term flexibility.Thrive in high-growth, ambiguous environments, and can balance fast execution with technical rigor and system reliability.Excellent communication skills, with ability to build consensus among stakeholders both internally and externally.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.In the past year, our engineering and data science team grew from 40 to 100+ team members and we rolled out infrastructure updates, new products, and updates to existing workflows - combining data, ML frontend and backend work. The next 12 months are very exciting for us; we expect the technical team to double as we deliver on a roadmap to handle 10x our current volume and build new products. As a Software Engineer on our New Products team, you’ll be responsible for helping build and launch brand new products that directly impact our customers' workflows - which in turn has the opportunity to impact millions of lives in the personal injury space.This is a hybrid role with the expectation of working at least 3 days a week from our downtown San Francisco hub.What you’ll do:Build impactful technology: You will build first-of-a-kind technology that will transform an analog industry to improve the lives of millions of injury victims that got their lives turned upside down at no fault of their ownHave immediate impact in a small and tightly-knit team: be a key part of building the foundational blocks of their software and the team culture. Start shipping production code in less than two weeks!Be a core part of our engineering team: Be a key part of building the foundational blocks of EvenUp's software and the team culture. Build and deploy and work on our core software product, whereby you’ll tackle hard problems, explore and deliver solutions while working with key people across the organizationWork with a world-class team: Our team has deep expertise in technology, machine learning, law, and finance, combining experiences from careers at Google, Uber, Waymo, Quora, Vimeo, Blizzard, and more.Learn new technologies from the best: Our team emphasizes a culture of continual learning and you will have opportunities to work on projects in machine learning, data engineering, back-end, front-end, DevOpsWork with our tech-stack: Python, Typescript, React, Postgres, Kubernetes, Elasticsearch…What we look for:5-10+ years of experience with backend engineering, working with relational databases and/or other database technologiesHave several years of industry experience building high-quality software, shipping production-ready code and infrastructureAbility to communicate technical ideas or issues in easy-to-understand and actionable termsLearn quickly and are seeking opportunities to work cross-functionally (including data engineering & DevOps) and with a diverse group of peopleExperience owning a project from start to finish and loves to drive a project across the finish lineDemonstrated success in mentoring and upleveling teammatesEngineering excellence - you’ve helped build what “great” looks like at scale (both product + team culture)Kubernetes experience is a plus!Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco, Los Angeles, and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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About Us Ada is an AI customer service company whose mission is to make customer service extraordinary for everyone. We're driven to raise a new standard of quality customer service at scale, enabling enterprise companies to deliver experiences that people love–instant, proactive, personalized, and effortless. Ada is an AI transformation platform and partner—combining strategic expertise with powerful AI agent management technology to accelerate businesses’ AI maturity to keep them ahead of the curve. With Ada, 83% of customer conversations—and counting—are effortlessly resolved through automation, giving teams more time back, companies more resources to focus on growth, and customers more life to focus on what matters most to them. Established in 2016, Ada is a Canadian company that has powered over 5.5 billion interactions for leading brands like Square, YETI, Canva, and Monday.com, saving millions of hours of human effort. Backed with over $250M in funding from tier-one investors including Accel, Bessemer, FirstMark, Spark, and Version One Ventures, Ada is a pioneer in the management and application of AI in customer service. At Ada, we see growth as a reflection of each individual owner’s personal growth. That’s why our values are rooted in driving progress and continuous improvement. If you’re ambitious and eager to grow, Ada could be the place for you. Learn more at www.ada.cx.As a Senior Product Marketing Manager at Ada, you’ll play a pivotal role in shaping how our AI-powered customer service solutions are positioned and adopted across enterprise organizations. You’ll drive go-to-market success by developing differentiated messaging, launching new capabilities, and enabling our customer-facing teams. With a strong understanding of the AI technology landscape, CCaaS (Contact Center as a Service), and CX, you’ll help ensure Ada’s offerings are aligned with the evolving needs of modern customer service organizations. About you 7+ years of B2B SaaS product marketing experience within the enterprise segment, ideally in domains such as AI applications, CCaaS, CX, or contact center technology. Proven track record working across cross-functional workstreams including product management, marketing, customer success, and revenue teams. Experience bringing technical or AI-driven products to market and enabling internal teams with clear, compelling messaging and tools. Strong customer-centric, data-driven mindset with exceptional verbal and written communication skills. A compelling storyteller with a strategic, analytical approach and the ability to confidently present at conferences, webinars, and customer meetings. Highly organized with the ability to prioritize multiple concurrent projects, all while maintaining a high bar for quality and execution. Outcomes  Product positioning and messaging: Craft compelling, differentiated messaging and positioning that resonates across verticals and personas. Ground your narratives in market research, competitive analysis, and customer insights, and ensure they are consistently reflected in sales tools, campaigns, and web content. Successful launches: Lead cross-functional go-to-market efforts for product launches, driving launch execution and post-launch adoption metrics. Partner closely with product, sales, brand, and marketing teams to define and deliver campaigns that accelerate product adoption. Resonant storytelling: Ensure every campaign, launch, and GTM initiative reflects a deep understanding of the customer service audience, continuously informed by market research, win/loss analysis, and customer interviews. Sales enablement: Empower sales and CX teams with tailored collateral (eg. battlecards, customer case studies, data sheets, pitch decks, and competitive briefs), equipping them to confidently position Ada’s AI capabilities against traditional and emerging players. Customer advocacy: Cultivate relationships with key customers to source feedback, capture impactful stories, and turn them into compelling proof points and references for marketing and sales efforts. Feedback loops with product: Act as the voice of the market within Ada, ensuring that customer feedback, competitive dynamics, and adoption insights continuously influence Ada’s AI product roadmap. The expected salary range for this position is $125,000 to $155,000 CAD. Actual pay will be determined based on several factors such as past experience and qualifications, geographic location, and other job-related factors permitted by law. #LI-NS1Benefits & Perks At Ada, you’ll not only build extraordinary products but also thrive in an environment designed for your success. We prioritize your well-being, growth, and work-life balance. Here’s what we offer: Benefits Unlimited Vacation: Recharge when you need to. Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance. Wellness Account: Empowering you to invest in your overall well-being and lifestyle. Employee & Family Assistance Plan: Resources to support you and your loved ones. Perks Flexible Work Schedule: Balance your work and personal life. Remote-First, In-Person Friendly: Options to work from home or at our local hub. Learning & Development Budget: Invest in your long-term growth goals and skills. Work from Home Budget: Equipping you with the tools and support for a seamless remote work experience. Access to Cutting-Edge AI Tools: Work with the best AI tech stack in the industry. Hands-On with LLMs: Enhance your expertise in leveraging large language models. A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology. The above Benefits and Perks only apply to full-time, permanent employees. Thank you for your interest in joining us at Ada. Due to the high volume of applications, we will only contact candidates whose qualifications match closely to the requirements of the position. We appreciate the time you have invested in learning more about us.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the Role As the Head of Developer Relations at Anthropic, you will build and lead the team responsible for how developers discover, onboard, build, and scale applications using Claude and Anthropic's suite of AI technologies. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our AI technologies are used responsibly across a diverse range of implementations. You'll set the vision and strategy for Anthropic's developer experience and community, including partners, customers, and independent developers. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our AI technologies are implemented responsibly across countless use cases. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. Responsibilities Set the Vision and Drive Strategic Impact  Own and develop the near and long-term strategy for how developers discover, onboard, build, and scale applications with Claude and Anthropic's APIs Pioneer the definition of what world-class AI developer relations looks like in this emerging field Create frameworks for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community building and growth initiatives based on data, feedback, and the needs of both developers and Anthropic's business objectives Collaborate with product and engineering leadership to ensure developer needs inform our roadmap Build and Lead a World-Class Global Team Recruit, inspire and scale a global high-impact developer relations organization with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Partner with customers, partners, and internal stakeholders to execute on our developer experience strategy Create and implement scalable processes and organizational structures that evolve as both the team and developer ecosystem expand  Establish clear growth paths and professional development opportunities for team members that align personal advancement with delivering exceptional value  Drive Scaled Developer Adoption and Success Understand the diverse needs of customers, partners, and stakeholders across different segments, from individual developers to enterprise organizations Partner strategically with GTM, Sales, and Marketing teams to create unified developer-focused campaigns that drive adoption while reinforcing Anthropic's position in the market Organize and lead high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content including sample apps, tutorials, documentation, integration guides, and best practices that demonstrate how to use Claude responsibly and effectively Drive Alignment and Innovation Through Cross-Functional Leadership Act as the primary advocate for developer needs at the executive level, translating developer feedback into strategic initiatives Orchestrate complex cross-functional initiatives that require alignment across multiple teams, balancing differing priorities while maintaining focus on developer success Collaborate with Research to translate AI capabilities into accessible developer tools and educational resources Partner with Communications and Marketing teams to amplify developer success stories and shape Anthropic's narrative in the developer community Ensure best practices for responsible AI use are adopted by developers building with Claude You may be a good fit if you: Have 10+ years of experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems Are technically credible—able to deeply understand AI/ML concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives Are passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations Have deep insight into developer psychology and behavior—knowing how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption Have hands-on technical abilities—capable of creating your own code demos, critically reviewing developer samples for quality and best practices, and providing specific technical feedback that elevates the work of your team Are a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels Have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Strong Candidates May Have: Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Experience in building developer communities around emerging technologies Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) The expected salary range for this position is:Annual Salary:$385,000—$460,000 USDLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

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About the Team: OpenAI's mission is to ensure that artificial general intelligence (AGI) benefits all of humanity. Our API is the industry's most widely adopted AI platform, empowering startups, indie developers, and Fortune 500 companies alike. Through multimodal APIs—spanning real-time interactions, text-to-speech (TTS), speech generation, and image generation—we enable users to harness the full potential of diverse AI modalities effectively and at scale.About the Role:We are seeking an Engineering Manager to lead our multimodal API product suite. Your team will be responsible for delivering innovative APIs across real-time processing, speech transcription, speech generation, and image creation. You will own the product roadmap for how we evolve our multimodal API offerings, and you will build the products that allow developers to reach millions of end users through AI audio, video, and images.In this role, you will:Build, mentor, and grow a high-performing engineering team focused on multimodal API products – including our realtime API, our transcription models (Whisper), our speech generation models (TTS), and our image generation APIs (DALLE and native 4o).Collaborate closely with product managers, designers, and other stakeholders to define the strategic vision and product roadmap.Work closely with our research teams to improve our core multimodal models for API customer use cases.Guide technical and architectural decisions, emphasizing scalability, robustness, and user experience.Foster a culture of innovation, continuous improvement, and accountability within your team.Qualifications:Proven experience managing engineering teams that deliver complex, high-quality products at scale.Strong technical background and proficiency in modern software engineering practices and system architecture.Excellent collaboration and communication skills to effectively coordinate across diverse teams and stakeholders.Familiarity with or strong interest in multimodal AI, including speech technologies, real-time systems, and image generation.Ability to operate effectively in a fast-paced, ambiguous startup environment. Preferred Qualifications:Experience developing multimodal systems or APIs in AI/ML domains, especially around image generation, audio generation, or speech transcription.Familiarity with real-time streaming technologies, audio processing, and computer vision.Hands-on experience with cloud platforms and distributed architectures.Location:This role is in-person at our San Francisco office.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Our Mission:At Sunrise Robotics, we are dedicated to augmenting humanity through intelligent robotics. Our mission is to elevate the world of manufacturing by introducing intelligent, flexible robots that enhance human capabilities and existing machinery, ushering in the next era of production at higher quality, with less waste, and lower cost. Our Vision:We see a future where every element of manufacturing, from design to assembly, is optimised with intelligent automation. Our vision is to integrate flexible robotic solutions, based on generic hardware and advanced software/AI capabilities, into manufacturing, particularly in small and medium-sized enterprises, to make automation economically viable and accessible, for all sizes of manufacturers. We are not just building robots; we are creating the strategically crucial components for autonomous, intelligent agents of the future.The Role:As a Computer Vision Engineer you are presented with a unique and exhilarating challenge: You will be building flexible, scalable and maintainable deep learning pipelines. You will be working on 2D image-classification, object-detection, semantic & instance segmentation, metric learning, smart filtering and many more while researching the latest applicable SOTA methods.What You'll Do:Develop 2D/3D imaging based solutions to recognize objects, anomalies or certain events.Contribute to the design and development of in-house MLOps.Implement end-to-end CV / ML applications and deploy them to production which will be running 24/7.Apply SOTA methods to create the next generation of robotics with an international multidisciplinary team.Who You Are:A very skilled and experienced computer vision or machine learning engineer who has a professional background in 2D/3D Computer Vision and 2D/3D Deep Learning.A professional software engineer who has implemented solutions for production grade systems for 3+ years.You have extensive experience with Python and are familiar with other programming languages, such as C++.You have experience with deep learning frameworks such as PyTorch and Tensorflow, computer vision frameworks such as OpenCV, Numpy, Pandas and others.You have in-depth knowledge of model optimization, model conversion, model deployment and are familiar with edge device compute.You have experience with MLOps, experiment tracking, data versioning and model serving on platforms such as MLFlow, W&B, CometML, ClearML, etc.You have experience with imaging hardware, such as industrial cameras, 3D cameras and stereo systems.You have a product oriented mentality.You have the ability to break down complex problems into small sub problems and build efficient hierarchical solutions.You have the capacity to work with multidisciplinary and international teams and are an excellent communicator who can articulate complex architecture and solution design concepts in a clear, compelling manner.You are passionate about robotics, automation, and the transformative potential of intelligent systems.Good to Have:You have experience with synthetic data generation, domain transfer and an ability to design smart and optimized data collection strategies.Experience with ROS, Docker, Kubernetes, AWS / GCE.Experience with NVIDIA edge devices, deployment and robotics stack.Experience with Multi Domain models and contrastive learning.Why Sunrise Robotics?Play a pivotal role in defining the future of intelligent robotics and manufacturing.Be part of a company that is at the forefront of technological innovation, with a clear mission and vision.Competitive compensation, including equity, and a flexible work environment that values innovation, learning, and excellence.

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Why Delphi? We are redefining how knowledge is shared. We are enabling anyone to transform their unique expertise into an interactive experience, a digital version of their mind: a dynamic reflection of their knowledge and perspective. This is a completely new medium of knowledge transfer designed to make human intelligence deeply engaging and infinitely scalable. Imagine a world where the collective wisdom of individuals isn’t locked away, but is instead a dynamic, ever-evolving resource anyone can engage with. We are building a future where human wisdom is abundant, learning is radically personalized, and individual brilliance scales effortlessly.2,800 years ago individuals from across the Greek world and beyond, including kings, city-state leaders, and ordinary citizens, made pilgrimages to Delphi, seeking guidance on matters ranging from war and politics to personal affairs.And now people will come to Delphi again. Learn more about Delphi and this position by calling the CEO’s digital mind here!Our SupportersWe are proud of the coalition that we’ve been able to build behind Delphi.  The best investors and angels you can find: backing from Sequoia, Founders Fund, Abstract Ventures, Michael Ovitz, Gokul Rajaram, Olivia Wilde and the founders of Lyft, Zoom, Doordash, and more. Incredible customers: we are a trusted and loved product by thousands of the world’s most brilliant minds. From Tony Robbins to Codie Sanchez, our customers reach tens of millions of people High talent density: our team includes founders with successful exits and builders from Apple, Discord, Spotify, Substack and more, all focused on our mission.We've more than doubled our revenue, users, and Delphi interactions in the last 6 months—all organically through word of mouth. We plan to accelerate even further from here.What It Takes to Succeed at DelphiDelphi is for those who want to be pushed to do their greatest work. We’re looking for those who don’t view their work as a job but rather, they want to shape the future of human connection and leave a lasting impact.This will work for you if:You are ambitious – Our team is full of former founders, and entrepreneurial individuals who are taking on immense initiatives. In a world of barrels and ammunition, we are in search of barrels. You are obsessed – Being great doesn’t happen by accident. It is hard. You know that and it excites you. We value people who want to be great. You have a unique perspective, and tend to view the world positively – At the end of the day our product is a result of the collaboration of our team. We want people who are additive to culture. We value people who ask the question “What could go right?”What You Will Work OnClone Studio: How our users create, manage, monetize, share, and improve their clones.Interaction Experience: How consumers interact with and learn from clones, via text, voice, and video.Consumer Platform: Where creators will showcase their clones, and consumers will discover and learn.About YouCan-Do, No-Excuse Attitude: You can hop into any situation and GSD, and build with velocity without sacrifice of qualityFast Learner. The world is moving faster than we can keep up with, and your ability to adapt is paramount.Effective Communicator. You understand the importance of not just what the idea is, but how it is delivered.Experience with LLMs (both as an assistant and via API)Skilled with:Typescript/Next.jsPythonHave at least a decent understanding ofSQL, Databases/CachingCloud infrastructureContainerizationEmpathy with your end users.This includes team members who are extending your codeAnd customers who are using your featuresProven track record of passion and engineering prowessWillingness and excitement to own massive initiatives.Bonus - if you understand LLMs and prompting.Why You Might NOT Like Working at DelphiHigh Expectations: We demand excellence. If you’re not comfortable with high standards, constant iteration, and direct feedback, this environment may not align with your working style.In-Person Collaboration: We believe in-person collaboration drives better ideas. If you thrive in a remote-first environment, this may not be the best fit.Ambiguity & Uncertainty: Many of our challenges don’t have obvious solutions. If you’re not comfortable navigating ambiguity or tackling problems without previous solutions this might not align with your working style.Not a 9-to-5: We move fast, iterate often, and tackle ambitious challenges. This isn’t a clock-in/clock-out environment.What You Would GetExcellent team: We have worked hard to put together some of the most ambitious, creative, smart people that we have met. They want to get to know you and work with you. Equity: We are confident that this opportunity is massive, and we want you to share in the upside. Unlimited Learning Stipend: Whether it’s books, courses, or conferences, we want to support your growth and development. The more you learn and improve your craft the more effective we will be together. Health, Dental, Vision: Comprehensive coverage to keep to take care of your health. In-Person Office: Work from our beautiful office in Jackson Square, San Francisco. We believe that learning through osmosis, in-person, is the best way to learn. Ascension: We’ll push you to do the greatest work of your life, with opportunities to grow both personally and professionally.Tell Us About YouIf all of this piques your interest reach out to us with your resume or linkedin and share a little bit aboutWho you are.What you’re motivated by.Which role and why you’re a good fit. No essays or AI-generated content, please. Authenticity is always the best.

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About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning & workflow automation. We developed the first Domain Specific Language (DSL) for fully representing regulatory requirements in AI code. This DSL, deployed with our enterprise platform, enables Norm clients to transform workflows and apply compliance checks at the source of business activities.We are setting the norms for compliance processes at the largest institutions in the world. Our client base includes firms with a combined $17 Trillion in AUM, and growing quickly.Our Software Engineers came from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT. Our Legal Engineers are from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have raised $85 million over the past 18 months from top VCs and global institutions, including Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, and Marc Benioff.This RoleAs a Legal Engineer- Agent Deployment at Norm Ai, you will occupy a pivotal role at the intersection of law, technology, and client success. Your primary responsibility will be to act as a legal subject matter expert by deeply engaging with clients as they navigate complex compliance and regulatory challenges using the Norm Ai platform. You will guide client onboarding and lifecycle engagement, ensuring clients maximize the platform's value while aligning their business objectives.In this role, you will collaborate closely with internal teams—including Client Engagement, Sales, Legal Engineering and AI Engineering—to ensure seamless client experiences and proactive solutions. You will translate legal, compliance, and business issues into actionable insights, becoming a trusted partner to our clients by surfacing client feedback and identifying opportunities to enhance the platform. You will also leverage our internal tools to further develop automated analysis of regulations.You will need to be comfortable presenting and navigating nuanced discussions on regulatory and compliance topics, and wherever possible, you will seek to go above and beyond to meet their needs and demonstrate the value of Norm Ai. Whether it's preparing insights, conducting in-person, on-site client sessions, or dissecting complex documentation, your work will underscore Norm Ai’s value proposition. You will connect the dots between regulatory landscapes, clients' operational contexts, and Norm Ai’s technology, driving success for both our clients and our company.Beyond client interactions, you will contribute to strategic initiatives, producing thoughtful, metrics-driven materials that help tell Norm Ai’s story and advance its mission.Responsibilities:Drive Client Success: Actively participate in and help lead client onboardings, ensuring a smooth adoption of the Norm Ai platform. Serve as the regulatory and compliance expert in client engagements, providing personalized support and ensuring clients derive maximum value from the platform.Regulatory Expertise and Analysis: Offer sophisticated insights on regulatory and compliance matters, connecting these insights to the platform’s capabilities and the client’s unique needs. Leverage our internal tools to further tailor our automated analysis of regulations to our clients' needs.Strategic Advocacy: Capture, organize, and present feedback that shapes product enhancements and improves client outcomes.Build Client Trust: Cultivate long-term relationships with clients, becoming a trusted advisor by proactively addressing challenges and identifying opportunities to add value.Custom Solutions: Develop tailored solutions, including preparing collateral, reviewing regulatory documents, and providing clients with actionable advice specific to their industry and organizational goals.Proactive Problem-Solving: Identify and resolve potential client issues, coordinating with internal teams to ensure timely and successful outcomes. Resolve any issues in a timely manner, engaging other internal resources as needed. Leave no stone unturned and always strive for excellence.Communications & Presentations: Craft compelling presentations, demos, and legal collateral to communicate complex ideas in an accessible, professional manner.Skills & Experience - CoreJuris Doctor (JD) required, with strong legal acumen and 1-2 years of experience in legal or compliance roles.Significant experience working with legal professionals, compliance officers, or in highly regulated industries (e.g., financial services, insurance).Exceptional communication skills with a proven ability to convey complex legal and regulatory concepts in a client-friendly manner.Demonstrated ability to manage complex client relationships. Highly independent and comfortable operating as an individual contributor.Detail-oriented with strong organizational and project management skills.Willingness to adapt, taking on both leadership and supportive roles as needed.Skills & Experience - PlusesPrior experience in compliance consulting or regulatory advisory roles.Background in AI-powered technologies or legal technology platforms.Experience at a venture-backed company.Familiarity with compliance and regulatory frameworks applicable to financial services or similar sectors.$175,000 - $225,000 a yearPlus equity.We embrace a flexible hybrid model, typically in-office 3–4 days per week.What Success Looks Like30 DaysMaster the Norm Ai platform and client onboarding processes.Gain a strong understanding of the compliance and regulatory frameworks Norm Ai supports.Confidently articulate Norm Ai’s value proposition and deliver client demos.60 DaysIndependently manage client onboarding and provide regular updates.Establish meaningful relationships with clients, understanding their unique legal and compliance needs.Surface actionable feedback to the product team, enhancing platform functionality.90 DaysLead the entire client engagement lifecycle, from onboarding through renewal.Be regarded as a trusted legal and compliance advisor by clients.Drive client renewals and upsells by consistently demonstrating Norm Ai’s value.Navigate complex client discussions with minimal preparation, effectively aligning their needs with Norm Ai’s offerings.

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ResponsibilitiesCoreWrite business logic in our cloud native backend service at scale.Drive and implement frontend solution.Partner with design, product, frontend and backend teams to build end-to-end functionalityApply and adapt new knowledge / tech stack in a rapid speed. (coming out of your comfort zone is our day to day work)Eng CitizenshipMaintain, refactor, migration of our existed service.Code Review.Oncall & Incident Handling.Day to day DevOps on AWS, GCP and Azure (optional)Actively work to improve the developer process and experience in all phases from coding to operation.Technical LeadershipWrite technical design and drive discussions on emerging new product.Drive technical initiatives based on business context, conduct research and technical design to support long term business OKR.Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale.Technical QualityEmploy automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you developImplement a rigorous release process that includes code reviews, continuous integration, and deployment pipelines to ensure high-quality software deliveryAutonomyEnable to drive project without Tech Lead/CTO’s guidance with independent technical decisions.Able to communicate technical design choices and decisions in both online (meeting) and offline (slack, design doc, daily reports, etc)Required QualificationWhat we are looking forStrong Vibe Coder -Able to generate 5k lines of code per day with a breeze.Have the taste - https://www.thewayofcode.com/1+ years of industry full stack development experience, building consumer or business facing productsLanguage: Typescript, Python, Go (optional) and a willingness to learnExperience with: Supabase, Postgres, FirebaseExperience in developing micro-services in NodeJS, Python and GoExpertise with technologies such as React, NextJS, Electron(optional)Large scale infra experienceExperienced with multi tenant system with LB, sticky session, cache, MQExperience in Opentelemetry, Grafana / DatadogExperience in experiment / analytics platform: posthog / amplitude / optimizely etcContainerized Service: Docker, ECS, k8sBullet proof production level code - edge case handling, unit tests, E2E testsPreferred Qualification:Hackathon winnerHands on experience with k8s and AWSDev ops experience, hands-down experience in building CICD pipeline for automative testing and software releasing.Experienced with Websocket & SSEExperience with crawler, browser / mobile automation like selenium, appium etc. Had scraped sites at scale.Data Wrangling withBigQuery to drive business insights + data miningWriting Data Pipeline with Spark, Apache Beam, DBT, Apache AirflowExperience with building data lake solutions / data warehouse.

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ABOUT VIBECODEVibe Code is a high-growth U.S. startup reimagining how everyday people create and communicate — not through videos or images, but through custom software. We believe personalized apps are the next major creative medium, allowing people to share a new type of experience. To fully highlight this, we're building a mobile-first platform where anyone can describe an idea and instantly turn it into a working product/experience.We're not just targeting developers — we're empowering non-technical creators, entrepreneurs, and dreamers to build software the same way they might create a TikTok or design a Canva post.We’ve raised close to $10M in venture funding as a seed stage company, putting is in the Top 0.1% of startup backed by some of the most iconic names in tech:💥 776 (Alexis Ohanian)🚀 Long Journey (Cyan Banister, Arille Zuckerberg)🔮 Neo (Ali Partovi, Suzanne Xie)Logan Kilpatrick, Head @ Google DeepmindAnd many other amazing angels, founders, and investors...What we offer:💸 $150K–$400K USD base salary, depending on experience📈 Equity in a breakout company redefining software creation🌎 Full H1B/O1 visa sponsorship and relocation support👉 Note: This is an in-person role based in San Francisco. We believe the best products are built shoulder-to-shoulder and at high speed. ABOUT THE ROLE Want to be at the forefront of making easy-to-use consumer AI agents? This is the perfect role for you.You'll be testing, iterating, deploying, designing, and architecting our AI coding agent. This could involve writing evals, designing tools, modifying agentic architecture, fine-tuning models, developing models, etc.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? NiCE, the market leader in cloud-based contact center technology, is looking for an experienced Solution Engineering Director to lead an international team of and drive our CXone and Digital solutions into markets. The Director leads a team which works consultatively with prospects to identify their goals and business drivers and creatively design a solution that will meet the ever-growing demands of their contact center and Digital needs. This position would also support deep technical expertise associated with our CXone solutions, as well as lead and drive partners enablement.  How will you make an impact?    Lead, manage, and coach international team of pre-sales experts across APAC, ensure alignment with company strategy and regional GTM activities.    Work closely with specialist pre-sales, sales, marketing, product house, partners, and regional leadership.  Engage, collaborate, and influence cross functional stakeholders in various roles and locations including services, supports, biz-ops and R&D to deliver business outcomes.  Lead and manage a team of portfolio solution engineers and help drive sales of the complete NiCE CX software portfolio.  Assist our Sales team through preparation and delivery of business discussions, technical presentations, and product demonstrations, by carefully mapping customer business requirements to effective value driven technical solutions leveraging the NiCE CX software portfolio.  Assist in the preparation and response to customer RFP requests, carefully qualifying the prospective deal for technical feasibility.  Continuously build and maintain relationships with key and executive stakeholders in major sales cycle, including executive, financial, technical decision makers, and influencers within our prospects. Have you got what it takes? Proven record of managing global pre-sales team in a challenging and global environment while maintaining a high level of responsiveness.  Ability to manage multiple competing priorities and work effectively under the pressure of time constraints in a fast-paced, collaborative environment.  Broad knowledge of call center technologies, automatic call distributors (ACD) and interactive voice response (IVR) systems.  Broad knowledge of digital self-service, messaging, and social media platforms.  Broad knowledge of workforce optimization and analytics practices and technologies.  Broad and up-to-date knowledge of Artificial Intelligence technologies, particularly in the Customer Experience domain. Basic knowledge of IP telephony, SIP trunk, WebRTC.  Experience in SaaS or CCaaS is preferable. Excellent interpersonal skills with the ability to effectively listen to quickly assess the situation and then convey thoughts and ideas in a clear and concise manner.  Strong presentation skills – must possess the ability to sell and effectively build credibility in front of all levels of management, including an executive audience.  You will have an advantage if you also have: 10+ years of managing large global pre-sales team in a software company.  Previous experience managing Contact Centre/ CX Digital solutions teams are preferred.   Experience in working with various leadership stakeholders and executives.     Requisition ID: Reporting into: Role Type:    About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About Appier Appier is a leading SaaS company empowering businesses with cutting-edge artificial intelligence (AI) to drive smarter decision-making. Founded in 2012 with a mission to democratize AI, we transform complex data into actionable insights, making AI accessible and profitable. With 17 offices across APAC, Europe, and the U.S., and listed on the Tokyo Stock Exchange (Ticker: 4180), Appier is at the forefront of AI innovation. Visit www.appier.com for more information.   About the Role We’re on the lookout for an ambitious and technically outstanding Senior Software Engineer, Machine Learning to join our Enterprise Solution Engineering Team, AIXON. This elite team leverages state-of-the-art ML technologies to solve real-world marketing challenges by integrating omnichannel customer data at scale. In this role, you’ll be the vital bridge between cutting-edge research and production-grade deployment. You’ll design, build, and optimize scalable, high-performance ML infrastructure—including data pipelines, APIs, monitoring systems, and workflow orchestration—that power transformative AI solutions.   What You’ll Do Architect and operate resilient ML job execution frameworks covering training, inference, and post-processing workflows. Develop and maintain API services and developer tooling to orchestrate ML workflows on Kubernetes using Argo Workflows, Helm, Terraform. Build scalable, efficient batch pipelines with Apache Spark to support large-scale ML training and evaluation. Design and maintain robust data infrastructures using Trino, Databricks and other modern database technologies, monitored with Prometheus and Grafana for high availability and observability. Develop tooling that streamlines ML experimentation, accelerates production workflows, and empowers cross-functional teams to innovate rapidly. Collaborate deeply with ML scientists to transform research prototypes into reliable, scalable, user-facing AI products. Lead cloud infrastructure design and operations on GCP, leveraging managed services such as Google Compute Engine (GCE) , Google Kubernetes Engine (GKE) , Cloud Storage, Cloud Functions, Cloud Pub/Sub, Cloud SQL, BigQuery, and more. Define and implement CI/CD pipelines with tools like Jenkins, Github Action, or ArgoCD to enable seamless, automated deployments. Harness distributed computing and parallel programming principles to optimize system resource utilization and performance.   What You Bring Bachelor’s degree in Computer Science, Engineering, or a related technical field (Master’s degree preferred). 5+ years of hands-on experience in ML platform engineering, MLOps, or data infrastructure, deploying enterprise-grade machine learning systems at scale. Expert proficiency in Python, Java, or Go, with solid foundations in data structures and algorithm design. In-depth experience with cloud environments (AWS or GCP) and cloud-native service management. Proven mastery of Docker containers and Kubernetes cluster management, including resource provisioning, autoscaling, and deployment best practices. Strong understanding of the ML lifecycle—from training and prediction to evaluation, backtesting, and feedback loops. Familiarity with Git workflows and Linux-based development environments. Passionate about continual learning and innovation, leveraging AI-powered developer tools like GitHub Copilot and ChatGPT to boost productivity.   What Will Set You Apart Experience in the MarTech industry or other customer-centric domains, eager to deliver products that delight users and drive business impact. Demonstrated architectural leadership and ownership, skillfully driving complex, cross-team platform initiatives. Strong grasp of deep learning fundamentals and end-to-end ML workflow platforms such as Kubeflow, MLflow, or AWS SageMaker. Hands-on experience with distributed data processing frameworks like Apache Spark, and pipeline orchestration tools such as Apache Airflow, Argo Workflow, or Luigi. Expertise in production-level ML applications, including handling data imbalance, preventing data leakage, and optimizing resource consumption for large-scale training and serving. Familiarity with real-time online inference architectures and batch processing trade-offs. Enthusiastic adopter of “vibe coding” culture—collaborative, transparent, and always pushing technical excellence together. Prior experience building or developing applications related to large language models (LLM), multi-agent LLM systems, or natural language processing (NLP).   Why Join Appier? At Appier, you’ll stand at the frontier of AI innovation, working alongside world-class engineers and researchers to create products that transform entire industries. Here, your engineering expertise will directly impact millions of users and drive revolutionary advances in marketing technology. If you’re ready to tackle challenging ML infrastructure problems with passion and creativity, Appier is your ultimate playground!     #LI-AK1

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in pretraining the next generation of Runway’s multimodal models. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in building large language models and vision language models that power Runway’s research and tools, with a focus on multimodal capabilities and reasoning. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant ML engineering or research experience in language models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC  

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We are a global AI research and technology company focused on building Universal Simulation systems. The research we are doing and the tools we are building are maturing rapidly and are quickly becoming the foundation for how we will all soon approach making anything. From images to videos, scripted media to documentaries, graphic design to architecture, interactive games to social media, new forms of learning and the future of entertainment itself. Everyone will be empowered to make anything. There will no longer be any barriers to entry. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you.About the role *Open to hiring remote across North America and Europe — we also have offices in NYC, San Francisco, Seattle, London, and Tel Aviv We’re looking for a Sr. Applied Research Scientist to lead efforts in applying reinforcement learning based techniques to improve the quality and controllability of the models that power Runway’s research and tools. This role is for someone who has a strong background building impactful and novel machine learning projects, has strong software engineering skills, and is deeply interested in seeing their research materialize in novel user interfaces for creative tasks. What you’ll need 4+ years of relevant engineering or research experience in applying reinforcement learning to align language, image, and/or video generation models Very strong programming skills and ability to write clean and maintainable research code Deep interest in building human-in-the-loop systems for creativity Passion for seeing research through from initial conception to eventual application Experience mentoring and teaching other researchers Strong communication, collaboration, and documentation skills Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. Salary range: $280,000-$380,000 Working at Runway Great things come from great teams. We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway Runway Research Runway's AI Film Festival Creative Dialogues Series Runway Studios Our Behaviors and Company Mission   We're excited to be recognized as a best place to work Crain's | InHerSight | BuiltIn NYC | INC