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senior full stack engineer, marketing Jobs in San Francisco

senior full stack engineer, marketing

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software engineer ii Jobs in San Francisco

software engineer ii

full stack software engineer

Delty (YC X25)

<div>
 
 About Us
 
 
 
 
 Delty is building the world&rsquo;s first &ldquo;AI Staff Engineer.&rdquo;
 
 Unlike typical code-generation tools, Delty is trained on a team&rsquo;s codebase, documentation, and system history &mdash; giving it a system-level understanding of architecture, conventions, and constraints. Delty helps engineering teams design enterprise-scale software systems, make architectural decisions, and enable AI coding agents to work with real system context.
 
 
 Delty was founded by former engineering leaders from
 
 Google, including co-founders with deep experience at YouTube and in large-scale infrastructure
 
 . You&rsquo;ll get to work alongside people who built massive systems at scale &mdash; a chance to learn a
 
 lot
 
 and contribute meaningfully from day one.
 
 
 We believe in solving hard problems together as a team, iterating quickly, and building software with long-term thinking and ownership.
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Work full-stack: design and build features spanning front-end, back-end, data storage and processing.
 </li>
 <li>
 Build new product modules and services from scratch &mdash; or evolve existing ones &mdash; guided by context-aware system design.
 </li>
 <li>
 Work with AI and machine learning: integrate large-language models (LLMs), process large or long-form text data, apply traditional ML (e.g. regression, data pipelines), and build tooling around AI-driven flows.
 </li>
 <li>
 Make architectural decisions &mdash; choose frameworks, data models, APIs, storage solutions &mdash; balancing trade-offs between performance, scalability, maintainability, and complexity.
 </li>
 <li>
 Collaborate closely with co-founders and other engineers to translate product vision into a working, maintainable codebase.
 
 
 </li>
 </ul>
 What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 At least 3 years of full-stack engineering experience, including substantial work with AI/ML.
 </li>
 <li>
 Strong skills across front-end, back-end, databases/data storage &mdash; and demonstrated ability to design end-to-end systems.
 </li>
 <li>
 Experience working with or integrating AI/ML &mdash; LLMs, data pipelines, long-form text processing, traditional ML like regression or statistical modeling.
 </li>
 <li>
 Good design sense and architectural thinking: you understand trade-offs (scalability vs complexity, speed vs maintainability) and can choose wisely based on constraints.
 </li>
 <li>
 Comfort working in a fast-paced startup-style environment: nimble, iterative, high ownership.
 </li>
 <li>
 Bonus: prior startup experience, or even having been a founder &mdash; we value entrepreneurial thinking, self-direction, and willingness to wear multiple hats.
 
 
 </li>
 </ul>
 Why join
 
 
 <ul>
 <li>
 Learn from seasoned Google engineers: As former Google engineers who built systems at YouTube and Google Pay, we&rsquo;ve operated at massive scale. Working alongside us gives you a chance to build similar systems and learn best practices, scale thinking, and software design deeply.
 </li>
 <li>
 High impact: At a small but ambitious team, your contributions will influence architecture, product direction, and core features. You will have real ownership and see the effects of your work quickly.
 </li>
 <li>
 Grow fast: We&rsquo;re iterating rapidly; you&rsquo;ll be exposed to the full stack, AI/ML pipelines, system architecture, data modeling, and product-level decisions &mdash; a fast-track to becoming a senior engineer or technical lead.
 </li>
 <li>
 Challenging and meaningful work: We&rsquo;re tackling the hardest part of software engineering: bridging AI-generated prototypes and robust, scalable enterprise-grade systems. If you enjoy thinking deeply about systems and building reliable, maintainable foundations &mdash; this is for you.
 </li>
 </ul>
</div>

Full stack software engineer

Notion

<div>
 
 About Us
 
 
 
 Notion helps you build beautiful tools for your life&rsquo;s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email&mdash;with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
 
 
 In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
 
 
 
 About The Role
 
 
 
 As an Early Career Software Engineer at Notion, you&rsquo;ll help shape core user experiences and accelerate how people discover value in Notion. You'll tackle meaningful challenges with increasing autonomy, crafting code that millions of users will experience. You'll take ownership of projects that matter, make critical technical decisions, and contribute your unique perspective to our product vision. Working alongside passionate experts across design, product, and data, you'll help shape the future of how people work.
 
 
 We&rsquo;re hiring early career engineers to join us across several teams at Notion. Your recruiter will partner with you to find the team that best aligns with your interests and where you can make the highest impact.
 
 
 What You&rsquo;ll Achieve
 
 
 <ul>
 <li>
 Plan, build, and ship product features from conception to launch, then iterate based on insights and user feedback.
 </li>
 <li>
 Improve performance, reliability, and quality of key experiences used by millions of users and thousands of organizations.
 </li>
 <li>
 Run experiments that drive activation, retention, collaboration, and revenue, partnering with design, data science, and research.
 </li>
 <li>
 Build internal tools and platform improvements that help all engineers ship quickly and safely.
 </li>
 <li>
 Contribute to team norms, code quality, and a culture of learning and thoughtful tradeoffs.
 
 
 </li>
 </ul>
 Areas you might work on
 
 
 <ul>
 <li>
 Core Notion product features: Help develop, improve, and maintain features for our flagship product, focusing on the editor, databases, sharing, or other key areas that power millions of workflows.
 </li>
 <li>
 AI and automation: Help develop and integrate intelligent features that make Notion more powerful, contextual, and efficient for our users.
 </li>
 <li>
 Growth and activation: Work on features that help new users discover Notion's value, improve onboarding experiences, and increase user engagement.
 </li>
 <li>
 Platform and infrastructure: Contribute to the systems that power Notion's backend services, ensuring reliability, scalability, and performance as our user base grows.
 
 
 </li>
 </ul>
 Skills You&rsquo;ll Bring
 
 
 <ul>
 <li>
 Proven track record of execution: You have a minimum of 1 year (and up to 3 years) of full-time professional engineering experience, including building world-class product experiences as part of an engineering team. You have solid fundamentals in data structures, algorithms, and distributed systems, with a product-minded, pragmatic approach to solving problems.
 </li>
 <li>
 Thoughtful problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity successfully, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends. You stay current with the latest tools like Cursor, Claude Code, and other AI-assisted development environments, you're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users and the business.
 </li>
 <li>
 Proactive communication and high agency: You own your work, communicating clearly about progress and blockers. You don't wait for instructions for every step but rather show initiative in identifying what needs to be done and driving projects forward. You ask questions when needed while independently finding solutions to problems.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Experience with parts of our stack like React, TypeScript, Node.js, Postgres, or with experimentation and analytics tooling.
 </li>
 <li>
 Exposure to distributed systems, observability, CI/CD, or infrastructure fundamentals.
 </li>
 <li>
 An interest in product quality and craft, and in helping others stay in flow.
 </li>
 <li>
 You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others&mdash;and understand why we're big fans of their work.
 
 
 </li>
 </ul>
 We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you&rsquo;re excited about a role but your past experience doesn&rsquo;t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you&rsquo;re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
 
 
 Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
 
 
 Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role&rsquo;s scope and complexity, and the candidate&rsquo;s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $126,000 - $180,000 per year.
 
 
 By clicking &ldquo;Submit Application&rdquo;, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion&rsquo;s Global Recruiting Privacy Policy and NYLL 144.
 
 
</div>

Software Engineer, Fullstack, Early Career

Snap Inc.

<div>
 Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company&rsquo;s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.
 
 
 Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We&rsquo;re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.
 
 
 We&rsquo;re looking for a Backend Engineer to join Snap Inc!
 
 
 What you&rsquo;ll do:
 
 
 <ul>
 <li>
 Design, implement, and operate our most critical and scalable services - ranging from user identity services, friend graph, and our core persistence layer
 </li>
 <li>
 Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products
 </li>
 <li>
 You evaluate, appropriately test, and debug your work, striving for high quality
 </li>
 <li>
 Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management
 
 
 </li>
 </ul>
 Knowledge, Skills &amp; Abilities:
 
 
 <ul>
 <li>
 Experience with backend services or distributed systems
 </li>
 <li>
 Proven track record of operating highly-available systems at significant scale
 </li>
 <li>
 You can independently execute on medium sized features, taking a few weeks and multiple PRs to complete
 </li>
 <li>
 You understand the operational aspects of your system and may participate in incident or hotfix investigation and resolution
 </li>
 <li>
 Ability to collaborate and work well with others
 </li>
 <li>
 Experience in at least one of the following areas:
 </li>
 <li>
 Large-scale microservices and distributed systems
 </li>
 <li>
 Cloud computing and storage systems
 </li>
 <li>
 Infrastructure and large-scale system design
 </li>
 <li>
 Security
 </li>
 <li>
 Networking and data storage
 </li>
 <li>
 Machine learning and natural language processing tools
 
 
 </li>
 </ul>
 Minimum Qualifications:
 
 
 <ul>
 <li>
 2+ years of post-Bachelor&rsquo;s software development experience; or Master&rsquo;s degree in a technical field + 1+ year of post-grad software development experience; or PhD in a relevant technical field
 </li>
 <li>
 Experience working with distributed systems
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with Java, C++, and/or Python
 </li>
 <li>
 Experience with NoSQL solutions, Memcache/Redis, Kubernetes, or Google/AWS services
 
 
 </li>
 </ul>
 If you have a disability or special need that requires accommodation, please don&rsquo;t be shy and provide us some information.
 
 
 "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a &ldquo;default together&rdquo; approach and expect our team members to work in an office 4+ days per week.
 
 
 At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.
 
 
 We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).
 
 
 Our Benefits: Snap Inc. is its own community, so we&rsquo;ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap&rsquo;s long-term success!
 
 
 
 Compensation
 
 
 
 In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate&rsquo;s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.
 
 
 Zone A (CA, WA, NYC):
 
 
 The base salary range for this position is $157,000-$235,000 annually.
 
 
 Zone B:
 
 
 The base salary range for this position is $149,000-$223,000 annually.
 
 
 Zone C:
 
 
 The base salary range for this position is $133,000-$200,000 annually.
 
 
 This position is eligible for equity in the form of RSUs.
</div>

Software Engineer, Backend, Level 4

Tact

<div>
 
 Software Engineer- AI - LA - $250K base + early equity
 
 
 
 
 
 ⚡ Want to be one of the first engineers shaping a product, stack, and culture from the ground up?
 
 
 
 
 
 I&rsquo;m working with an early-stage, technically-driven startup that&rsquo;s doing something pretty wild, building autonomous AI systems that can run full end-to-end loops, detect issues, test ideas, and resolve problems on their own. It&rsquo;s one of those &ldquo;this shouldn&rsquo;t exist yet&rdquo; kinds of projects.
 
 
 
 
 
 They&rsquo;re tiny right now, and the founders are extremely technical (deep backgrounds across AI, security, and distributed systems). The vibe is more cutting-edge-research than corporate. Super hands-on, big ownership, and huge problems to tackle.
 
 
 
 
 
 
 You&rsquo;d be:
 
 
 
 &bull; Building generative AI agents that autonomously identify and test issues
 
 
 &bull; Designing backend + inference systems for large models
 
 
 &bull; Working with LLMs, agent frameworks, reasoning loops, memory systems
 
 
 &bull; Deploying to real customer environments and seeing impact fast
 
 
 
 
 
 
 They&rsquo;re looking for someone who:
 
 
 
 &bull; Is excellent with Python + backend fundamentals
 
 
 &bull; Has hands-on experience with LLMs or AI systems
 
 
 &bull; Understands API design and databases (esp. Postgres)
 
 
 &bull; Knows how to design reliable backend architecture
 
 
 &bull; Likes small teams, high ownership, and fast iteration
 
 
 
 
 
 
 Perks &amp; culture:
 
 
 
 &bull; $250K + early equity
 
 
 &bull; Unlimited PTO + full health coverage
 
 
 &bull; Premium gym membership fully covered
 
 
 &bull; Team lunches/dinners, collaborative environment
 
 
 
 
 
 They&rsquo;re at a super exciting stage just after seed, validating their AI platform ahead of the next raise. If you like building things that feel slightly impossible&hellip; this is worth a conversation.
 
 
 
</div>

Software Engineer

Andromeda Robotics

<div><h3 class="jobSectionHeader">About Us</h3>
Andromeda Robotics is an ambitious social robotics company with offices in Melbourne and San Francisco, dedicated to creating robots that seamlessly and intelligently interact with the human world. Our first robot, Abi, is a testament to this vision&mdash;a custom-built platform designed from the ground up to be a helpful aid and intuitive partner in aged care homes. We are a passionate, collaborative team of engineers who solve some of the most challenging problems in AI and robotics. To accelerate our development and ensure Abi's reliability, we are seeking a foundational member to build out our capabilities to train and test our robot in simulation.<h3 class="jobSectionHeader">
Our Values</h3>
Deeply empathetic - Kindness and compassion are at the heart of everything we do.
Purposely playful - Play sharpens focus. It keeps us curious, fast and obsessed with the craft.
Relentlessly striving - With relentless ambition, an action bias and constant curiosity, we don&rsquo;t settle.
Strong when it counts - Tenacious under pressure, we expect problems and stay in motion to adapt and progress.
United in action - Different minds. Shared mission. No passengers.<h3 class="jobSectionHeader">
The Role</h3>
We are looking for a creative and driven Simulation and Test Engineer to build Andromeda's testing infrastructure for our conversational AI systems and embodied character behaviours. Your immediate focus will be creating robust test systems for Abi's voice-to-voice chatbot, social awareness perception, and gesture motor control. As this infrastructure matures, you'll extend it into simulation environments for generating synthetic training data for character animation and gesture models.<h3 class="jobSectionHeader">
The Team</h3>
You'll work at the intersection of our character software, robotics, perception, conversational AI, controls, and audio engineering teams. We bring deep expertise from autonomous vehicles and robotics, including simulation backgrounds. You'll collaborate with product owners and technical specialists to define requirements, integrate systems, and ensure quality across our AI/ML stack.
Requirements<h3 class="jobSectionHeader">
Phase 1: Build The Test Foundation</h3><ul>
<li>Define and stand up synthetic test environments for our AI/ML conversational stack</li>
<li>Conversational AI testing: voice-to-voice chat quality, response appropriateness, tool calling accuracy</li>
<li>Memory system testing: context retention, recall accuracy, conversation coherence</li>
<li>Audio modelling and testing: multi-speaker scenarios, room acoustics, voice activity detection</li>
<li>Perception system testing: social awareness (face detection, gaze tracking, person tracking)</li>
<li>Gesture appropriateness testing: Working with our Controls/ML team, create test infrastructure to validate that Abi's body gestures</li>
<li>CI/CD and automated regression testing for all AI/ML subsystems</li>
<li>Custodian of quality metrics: if they don't exist, work with stakeholders to elicit use cases, derive requirements, and establish measurable quality metrics</li>
<li>Requirements formalisation: you're skilled at gathering, documenting, and tracing requirements back to test cases</li>
</ul><h3 class="jobSectionHeader">Phase 2: Scale To ML Training Infrastructure</h3>
Our approach to gesture generation requires high-fidelity synthetic interaction data at scale. You'll investigate and build the infrastructure to generate this data, working closely with our character software team to define requirements and validate approaches.<ul>
<li>
Extend test environments into training data generation pipelines</li>
<li>Investigate and stand up simulation tools (e.g. Unity, Unreal Engine, Isaac Sim) to support our machine learning pipeline with synthetic data and validation infrastructure</li>
<li>Build infrastructure for fine-tuning character animation models on simulated multi-actor scenarios</li>
<li>Enable ML-generated gesture development to augment hand-crafted animation workflows</li>
<li>Create virtual environments with diverse social interaction scenarios for training and evaluation</li>
</ul><h3 class="jobSectionHeader">Success In This Role Looks Like</h3>
Months 1-3, stabilise our conversational system with automated regression tests and measurable quality benchmarks. By month 6, deliver an integrated simulation environment enabling rapid testing and iteration across our AI/ML stack.
You'll design tests that push our systems beyond their limits and find what's brittle. Through trade studies and make-vs-buy decisions, you'll establish the infrastructure, set up automatic regression tests, and trace test cases back to high-level requirements. You'll be the final guardian, verifying that our AI and machine learning systems work as intended before integration with Abi's physical platform. Your work will directly impact the speed and quality of our development, ensuring that every software build is robust, reliable, and safe.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Architect and Build: Design, develop, and maintain scalable test infrastructure for conversational AI, perception, and gesture control systems</li>
<li>Own Testing Pipeline: Develop a robust CI/CD pipeline for automated regression testing, enabling rapid iteration and guaranteeing quality before deployment</li>
<li>Develop Test Scenarios: Create diverse audio environments, multi-actor social scenarios, and edge cases to rigorously test Abi's conversational and social capabilities</li>
<li>Model with Fidelity: Implement accurate models of Abi's hardware stack (cameras, microphone array, upper body motion) as needed for test and simulation scenarios</li>
<li>Enable Future ML Training: Design test infrastructure with an eye towards evolution into a simulation platform for generating synthetic training data for character animation and gesture models</li>
<li>Integrate and Collaborate: Work closely with the robotics, AI, and software teams to seamlessly integrate their stacks into the test infrastructure and define testing requirements</li>
<li>Analyse and Improve: Develop metrics, tools, and dashboards to analyse test data, identify bugs, track performance, and provide actionable feedback to the engineering teams</li>
</ul><h3 class="jobSectionHeader">Ideally You Have</h3><ul>
<li>Bachelor or Masters in Computer Science, Robotics, Engineering, or a related field</li>
<li>5+ years of professional experience testing complex AI/ML systems (conversational AI, perception systems, or embodied AI)</li>
<li>Strong programming proficiency in Python (essential); C++ experience valuable</li>
<li>Hands-on experience with LLM testing, voice AI systems, or chatbot evaluation frameworks</li>
<li>Understanding of audio processing, speech recognition, and/or computer vision fundamentals</li>
<li>Experience with testing frameworks and CI/CD tools (pytest, Jenkins, GitHub Actions, etc.)</li>
<li>Familiarity with ML evaluation metrics and experimental design</li>
<li>A proactive, first-principles thinker who is excited by the prospect of owning a critical system at an early-stage startup</li>
</ul><h3 class="jobSectionHeader">Bonus Points</h3><ul>
<li>Experience with simulation platforms (e.g. Unity, Unreal Engine, NVIDIA Isaac Sim, Gazebo) and physics engines</li>
<li>Experience with character animation systems, motion capture data, or gesture generation</li>
<li>Knowledge of reinforcement learning, imitation learning, or synthetic data generation for training ML models</li>
<li>Experience with 3D modelling tools and game engine content creation</li>
<li>Understanding of ROS2 for robotics integration</li>
<li>Knowledge of sensor modelling techniques for cameras and audio</li>
<li>Experience building and managing large-scale, cloud-based simulation infrastructure</li>
<li>PhD in a relevant field</li>
</ul>
Benefits
The expected base salary range for this role, when performed in our San Francisco office, is $150,000 - $250,000 USD, depending on skills and experience. The salary for this position may vary depending on factors such as job-related knowledge, skills, and experience. The total compensation package may also include additional benefits or components based on the specific role. Details will be provided if an employment offer is made.
If you&rsquo;re excited about this role but don&rsquo;t meet every requirement, that&rsquo;s okay&mdash;we encourage you to apply. At Andromeda Robotics, we celebrate diversity and are committed to creating an inclusive environment for all employees. Let&rsquo;s build the future together.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Simulation and Test Engineer (Conversational AI) - US Based

Ripple

<div><div>At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.</div><div>

THE WORK:

Ripple is looking for a Senior Full Stack Engineer, Marketing to join our growing Design &amp; Marketing Engineering team. You'll play a critical role in shaping, maintaining, and scaling Ripple's marketing web ecosystem &mdash; building dynamic, performant, and globally scalable experiences that elevate our brand and empower our internal teams.

This role is ideal for an engineer who's passionate about modern web architecture and thrives at the intersection of design, marketing, and technology. You'll collaborate daily with digital designers, brand designers, integrated marketers, and content teams &mdash; architecting solutions that are elegant for users and maintainable for the business.

You'll lead by example through hands-on coding and thoughtful architecture &mdash; participating in the technical direction of Ripple's marketing sites (including, but not limited to, our evolution of Next.js + Sanity + Vercel stack into a fully dynamic, CMS-driven platform).

WHAT YOU'LL DO:
<ul>
<li>Own and evolve the architecture of Ripple's marketing web platform &mdash; leveraging Next.js (App Router), Sanity, and Vercel to deliver fast, dynamic, and flexible experiences.</li>
<li>Lead full-stack feature development from concept to deployment &mdash; collaborating closely with Design, Marketing, and external development partners.</li>
<li>Design and implement scalable CMS schemas and APIs in Sanity to support modular, flexible content creation and page building.</li>
<li>Develop reusable, performant front-end components in React/TypeScript, aligned with Ripple's brand and design systems.</li>
<li>Continuously improve site performance, accessibility, and technical SEO using modern best practices and data-driven insights (Lighthouse, Web Vitals, etc.).</li>
<li>Streamline the development workflow &mdash; optimize CI/CD pipelines, preview environments, and local builds using Vercel and related tooling.</li>
<li>Define and enforce coding standards, documentation, and architecture guidelines to ensure long-term maintainability and consistency.</li>
<li>Mentor and collaborate with cross-functional partners, helping designers, marketers, and content teams better understand what's possible with our platform.</li>
<li>Evaluate and integrate third-party tools and APIs (analytics, experimentation, personalization, search, etc.) in partnership with marketing operations and product teams.</li>
</ul>
</div><div>WHAT YOU'LL BRING:
</div>
<div><ul><li>8+ years of professional web development experience, including full-stack or front-end leadership roles.</li>
<li>Deep expertise in modern JavaScript and React (Next.js 13+ preferred, ideally App Router + Server Components).</li>
<li>Hands-on experience with headless CMSs, especially Sanity (schema design, GROQ queries, content APIs, custom inputs, etc.). Experience with Contentful or similar systems is also valuable.</li>
<li>Strong understanding of performance optimization, SSR/SSG, and edge deployment strategies (Vercel, Cloudflare, etc.).</li>
<li>Familiarity with TailwindCSS, TypeScript, Node.js, and REST/GraphQL APIs.</li>
<li>Proven experience building scalable, component-driven design systems and integrating them with CMS-driven architectures.</li>
<li>A passion for bridging design and engineering &mdash; you value aesthetics, UX, and content as much as code quality.</li>
<li>Experience working with cross-functional creative teams, translating abstract marketing or design goals into reliable, production-ready implementations.</li>
<li>Excellent communicator and collaborator; able to lead discussions across disciplines and advocate for technical best practices.</li>
<li>Strategic problem solver who's comfortable owning complex systems end-to-end &mdash; from DevOps to browser debugging.</li>
</ul>
Preferred (not required):
<ul>
<li>Experience with Vercel edge functions, Sanity Studio customization, or live preview integrations.</li>
<li>Familiarity with A/B testing frameworks (e.g., VWO, Optimizely) and analytics tools (GA4, Segment, Amplitude).</li>
<li>Understanding of web security, SEO, accessibility (WCAG), and web performance metrics.</li>
<li>Prior experience in marketing engineering, design systems, or brand website ecosystems.</li>
<li>Contributions to open-source projects or public demos showcasing modern front-end craftsmanship.</li></ul> 

</div><div>
WHO WE ARE:

Do Your Best Work
<ul>
<li>The opportunity to build in a fast-paced start-up environment with experienced industry leaders</li>
<li>A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.</li>
<li>Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.</li>
<li>In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.</li>
<li>Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team</li>
<li>We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!</li>
</ul>
Take Control of Your Finances
<ul>
<li>Competitive salary, bonuses, and equity</li>
<li>Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support</li>
<li>Employee giving match</li>
<li>Mobile phone stipend</li>
</ul>
Take Care of Yourself
<ul>
<li>R&amp;R days so you can rest and recharge</li>
<li>Generous wellness reimbursement and weekly onsite &amp; virtual programming</li>
<li>Generous vacation policy - work with your manager to take time off when you need it</li>
<li>Industry-leading parental leave policies. Family planning benefits.</li>
<li>Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events</li>
</ul>
Benefits listed above are for full-time employees.

<div>Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.</div>
<div></div>
<div>Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.</div></div></div>

Senior Full Stack Engineer, Marketing

Aldea Inc

<div>About Aldea
Aldea is a multi-modal foundational AI company reimagining the scaling laws of intelligence. We believe today's architectures create unnecessary bottlenecks for the evolution of software. Our mission is to build the next generation of foundational models that power a more expressive, contextual, and intelligent human&ndash;machine interface. 
The Role
We are hiring a Research Engineer (Machine Learning) to build the infrastructure that powers Aldea's multi-modal AI research. You will design, optimize, and scale the training and inference systems that enable our research team to explore next-generation architectures across language, speech, and multi-modal domains. 
This is a high-leverage role where your work directly enables breakthrough research. You'll build production-grade systems supporting rapid experimentation at billion-parameter scale and real-time deployment of speech and language models. If you're passionate about building the systems that accelerate AI research, this role is for you. 
What You'll Do<ul><li>
Build and maintain distributed training infrastructure supporting researchers across language and speech domains at a billion-plus-parameter scale.</li><li>
Optimize training and inference performance across the stack, delivering significant speedups through framework optimization, custom kernels, and system-level improvements.</li><li>
Design experiment infrastructure including automated evaluation pipelines, experiment tracking, and monitoring systems that enable rapid iteration.</li><li>
Scale infrastructure from single-node to multi-node distributed training and deploy production inference systems for real-time applications.</li><li>
Support researchers with fast turnaround on infrastructure issues and maintain high reliability across all systems.</li><li>
Collaborate with research scientists, data engineers, and leadership to define technical priorities and infrastructure roadmap.</li></ul>
Minimum Qualifications<ul><li>
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.</li><li>
3+ years of experience with PyTorch and distributed training frameworks (DDP, FSDP, DeepSpeed, or similar).</li><li>
Experience training large-scale deep learning models at 1B+ parameters.</li><li>
Deep understanding of training optimization techniques including mixed precision, gradient checkpointing, and memory management.</li><li>
Proven ability to build production-grade ML infrastructure with high reliability.</li><li>
Track record of delivering significant performance optimizations in ML training or inference systems.</li></ul>
Preferred Qualifications<ul><li>
Experience with custom kernel development (CUDA, Triton) or GPU optimization.</li><li>
Hands-on experience with large-scale pretraining (100B+ tokens, ideally trillion+ scale).</li><li>
Experience optimizing inference for production: quantization, vLLM, TensorRT, or custom serving engines.</li><li>
Familiarity with speech/audio ML systems and real-time inference constraints.</li><li>
Experience building automated evaluation frameworks and experiment tracking systems.</li><li>
Knowledge of profiling tools and multi-node training across 8-32+ GPUs.</li><li>
Exposure to job orchestration systems (SLURM, Kubernetes, Ray).</li><li>
Master's or PhD in Computer Science, Machine Learning, or related field.</li></ul>
Compensation &amp; Benefits<ul><li>
Competitive base salary</li><li>
Performance-based bonus aligned with research and model milestones</li><li>
Equity participation</li><li>
Comprehensive health, dental, and vision coverage</li><li>
Flexible paid time off</li></ul> 
Aldea is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. 
Aldea uses E-Verify to confirm employment eligibility in compliance with federal law. For more information please visit: https://www.e-verify.gov. 
Please note: We do not accept unsolicited resumes from recruiters or employment agencies and will not be responsible for any fees related to unsolicited resumes.</div>

Research Engineer (Machine Learning)

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