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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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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  

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Reporting into the Head of People, the HR Business Partner will serve as a strategic partner to our teams globally, while also collaborating with the rest of the people team on global initiatives.  This role goes beyond traditional HR functions, serving as a true business partner who understands regional complexities while delivering consistent people-first solutions that fosters an environment where brilliant minds can do their best work. The ideal candidate will be a versatile professional who can navigate cultural nuances, compliance requirements, and strategic people initiatives to drive organizational success in a fast paced environment.  Key Responsibilities: HR Business Partnership Serve as a trusted advisor to People Managers providing guidance on people-related matters Translate company vision into people-centric programs that enhance our competitive advantage in the AI talent market Provide data-driven insights on workforce trends, helping People Managers make informed decisions about team structure, growth, and development Support organizational design that optimizes for innovation, collaboration, and knowledge sharing across technical and non-technical teams Talent Enablement & Employee Relations Design and implement enablement programs that accelerate the performance of our teams Create learning pathways that help employees navigate the rapidly evolving AI landscape Establish mentorship and knowledge-sharing frameworks that leverage our collective expertise Support career development for highly specialized roles with unique progression paths Manage performance review processes for your regions and provide guidance on performance improvement plans HR Operations & Employee Experience Oversee full-cycle people operations ensuring excellence in onboarding, performance management, and retention Create scalable people processes that maintain our agility while supporting growth Develop and nurture a distinctive company culture that balances technical excellence with human connection in a remote first workplace Facilitate career development conversations and succession planning Address and resolve complex employee relations issues with sensitivity to cultural contexts Promote a positive workplace culture that embraces diversity and inclusion Regional Compliance & Policy Management Ensure HR practices comply with local employment laws across multiple jurisdictions Stay current on employment legislation  Advise managers on risk mitigation strategies for people-related decisions Compensation & Benefits Support compensation review processes across regions Provide input on competitive and equitable compensation structures Explain complex benefits information to employees in clear, accessible terms Experience & Qualifications Minimum of 5+ years of progressive HR experience, ideally with at least 3 years supporting international regions In-depth understanding of employment laws in our markets Strong knowledge of HR best practices across multiple HR functions Excellent conflict resolution, communication and negotiation skills Experience with HR analytics and data-driven decision making Familiarity with the unique challenges of AI companies (ethics, rapid technological change, specialized talent) Exceptional cultural intelligence and ability to navigate diverse work environments Strategic mindset balanced with operational excellence Proficiency with HRIS systems and HR technology platforms Experience in technology, research, or AI-focused environments highly valued CIPD, SHRM certification or equivalent HR credentials a plus Compensation The salary range for this role is between $130,000-$150,000 USD. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Product Engineering team at Decagon innovates on and refines the user experience, technical architecture and core features that power the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Product Engineering team, you’ll guide teams to build products that enable Customer Experience teams to train AI agents. Your team will develop cutting-edge methods to extract product insights from the treasure trove of unstructured data generated through conversations with end users.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willLead a team to design an AI agent building platform that supports Customer Experience teams in training AI agentsDevelop techniques for extracting insights from unstructured conversational data that drive product decisionsBuild automation that monitors and detects issues across hundreds of millions of interactionsBreak down ambiguous product ideas into clear, iterative milestones and roadmaps.Your background looks something like thisHave 3+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Typescript, Python and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $415K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Research team at Decagon innovates on building the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleOn the Research team, you’ll be responsible for building AI systems that can perform previously impossible tasks or achieve unprecedented levels of performance. You will design and implement state of the art methods for instruction tuning and information retrieval. We're looking for people with strong engineering skills, writing bug-free machine learning code, and building the science behind the algorithms that power our AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willDevelop models for customer support tasks that exceed the performance of closed source modelsExperiment with small open-source models to drive order of magnitude reductions in latency across channelsBreak down ambiguous research ideas into clear, iterative milestones and roadmaps.Your background looks something like this3+ years of experience in AI/ML engineering or research.Proven track record of working on AI/ML projects from concept to production.Experience fine-tuning and deploying LLMs in production environments.Prior experience working with multi-modal modelsBenefits:Medical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$250K – $415K + Offers Equity

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About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trust to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $275K + Offers Equity

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