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Samsara

<div><div>Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations&trade; Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing &mdash; and we are excited to help digitally transform their operations at scale.

Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term.</div>
About the role:

The Samsara AI team builds end-to-end AI solutions for our customers as well as core ML infrastructure for Samsara. As a Staff Machine Learning Engineer, you will be working with petabyte-scale sensor, diagnostic, video, and text data to solve critical problems for Physical Operations customers, globally. You will work closely with ML Engineers and Scientists, as well as full-stack and firmware engineers to deliver core product features, services, and optimizations.

This is a remote position open to candidates residing in the United States. This position requires travel up to 5% of the time. Relocation assistance will not be provided for this role.

You should apply if:
<ul>
<li>You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact&mdash;helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely.</li>
<li>You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations.</li>
<li>You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go.</li>
<li>You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes.</li>
<li>You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win&mdash;together.</li>
</ul><h4 class="jobSectionHeader">In this role, you will:</h4>
<ul><li>Lead design and implementation of critical AI product initiatives on Edge devices.</li>
<li>Develop both tactical AI solutions as well as more strategic and longer term research.</li>
<li>Work with petabyte-scale data from customer operations including text, transactions, diagnostics, sensor, camera, and location data.</li>
<li>Partner across business units to explore and prototype new AI experiences and optimize the ML model performance on edge devices.</li>
<li>Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs.</li>
<li>Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices</li>
</ul>
Minimum requirements for the role:
<ul>
<li>8+ years experience as a Machine Learning Engineer.</li>
<li>Profound experience in optimizing ML models and systems for Edge compute constraints.</li>
<li>Proficient with Spark, Ray, or a similar framework.</li>
<li>Coding in python or similar.</li>
<li>Coding in C++ or Rust.</li>
<li>Strong functional knowledge of the iterative machine learning product development process.</li>
<li>Experienced in developing and shipping production code at large scale.</li>
<li>Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions.</li>
<li>Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge.</li>
<li>Experience coaching and mentoring ML Engineers.</li>
</ul>
An ideal candidate also has:
<ul>
<li>Proficiency in self-serving with data for experiments and model training at scale.</li>
<li>An established record of successful high impact deliveries in AI.</li>
<li>Deep knowledge in state of the art Computer Vision and multi-model models.</li>
</ul><div>
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.

Benefits

Full time employees receive a competitive total compensation package along with employee-led remote and flexible working, health benefits, and much, much more. Take a look at our Benefits site to learn more.

Accommodations

Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.

Flexible Working

At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual's ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.

Fraudulent Employment Offers

Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in '@samsara.com' or '@us-greenhouse-mail.io'. For more information regarding fraudulent employment offers, please visit our blog post here.</div></div>

Staff Machine Learning Engineer

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

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
 
 
 
 We're looking for an AI Product Engineer to join the team responsible for Notion's database block&mdash; which powers views like tables, galleries, charts, forms, and more. As a strategic partner in shaping Notion's AI vision, you'll help define and build cutting-edge AI-powered features into this core product experience, leveraging LLMs, embeddings, and other AI technologies to make Notion's databases more intelligent and capable.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 <ul>
 <li>
 Work with the team to prototype and experiment with new AI features
 </li>
 <li>
 Productionize and launch new AI technology integrations into Notion&rsquo;s core product
 </li>
 <li>
 Collaborate with cross-functional teams to deliver product features on time
 </li>
 <li>
 Stay up-to-date with the latest AI technologies and trends
 
 
 </li>
 </ul>
 
 Skills You'll Need To Bring
 
 
 
 <ul>
 <li>
 Expertise building and prototyping: You have experience building AI products using LLMs, embeddings and other ML technologies. You understand how parts of a system fit together from UI to data model, are familiar with relational databases like Postgres or MySQL, and have experience building products from ground up.
 </li>
 <li>
 Shipping quality user interfaces: You partner closely with product and design to craft beautiful user experiences for large audiences, leveraging web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
 </li>
 <li>
 Problem-solving: You approach problems holistically, starting with a clear and accurate understanding of the context. You think critically about the implications of what you're building and how it will impact real people's lives. You can navigate ambiguity flawlessly, decompose complex problems into clean solutions, while also balancing the business impact of what you&rsquo;re building.
 </li>
 <li>
 Empathetic communication and collaboration: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed. You enjoy collaborating with both fellow engineers and cross-functional partners. You are a lifelong learner and invest in both your own growth and the growth, learning, and development of your teammates.
 </li>
 <li>
 Impact-orientation and user focus: You care about business impact and prioritize projects accordingly. You understand the balance between craft, speed, and the bottom line. You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact&mdash;good and bad. Work isn't a solo endeavor for you, and you enjoy collaborating cross-functionally to accomplish shared goals.
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 <ul>
 <li>
 You're proficient with any part of our technology stack: React, TypeScript, Node.js, and Postgres.
 </li>
 <li>
 You have experience driving teams toward shared goals and can balance business priorities with individuals&rsquo; strengths, areas of interest, and career development goals.
 </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>
 <li>
 You have interests outside of technology, such as in art, history, or social sciences.
 
 
 </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 and New York, the estimated base salary range for this role is $190,000 - $285,000 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, AI Product

Stealth Startup

<div>
 
 Based in San Francisco, we're an early-stage startup using advanced AI agents to meaningfully speed up clinical research. Our technology engages directly with patients &mdash; guiding them through qualification, enrollment, and long-term participation &mdash; helping research teams eliminate enormous operational waste and address one of the biggest chokepoints in drug development.
 
 
 After bootstrapping our way to several major enterprise wins, we closed a multi-million dollar seed round backed by well-known investors. We&rsquo;re now assembling a small, exceptional engineering team to take the platform to the next level.
 
 
 
 
 
 
 What We&rsquo;ve Already Built
 
 
 
 Our AI agents currently manage
 
 100K+ patient interactions each month
 
 , including:
 
 <ul>
 <li>
 Guiding people to appropriate studies based on clinical criteria
 </li>
 <li>
 Collecting and verifying required study information on an ongoing basis
 </li>
 <li>
 Offering round-the-clock support to reduce participant drop-off
 </li>
 <li>
 Continuously adapting based on real-world trial outcomes
 </li>
 </ul>
 
 We spent months working inside research sites to understand the day-to-day reality of the problem, and that groundwork has helped us expand quickly across the clinical research ecosystem.
 
 
 
 
 
 
 What We&rsquo;ve Accomplished (Pre-Funding)
 
 
 <ul>
 <li>
 🚀 Rapid month-over-month growth, including multiple six-figure contracts
 </li>
 <li>
 💼 Largest active agreement exceeds $600K annually
 </li>
 <li>
 🥇 Over a 90% success rate in commercial evaluations &mdash; we&rsquo;ve never been displaced by a competitor
 </li>
 <li>
 🧬 Multiple pilots underway with top-tier pharmaceutical organizations
 </li>
 <li>
 📈 Pipeline grows consistently via word-of-mouth from current partners
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Be Building
 
 
 <ul>
 <li>
 Systems that coordinate a large network of AI agents across hundreds of concurrent studies
 </li>
 <li>
 Machine learning models that match patients to trials based on real clinical outcomes
 </li>
 <li>
 Multi-channel communication layers (voice, SMS, email) powered by LLMs
 </li>
 <li>
 Integrations with older healthcare systems that lack modern APIs
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 We&rsquo;re looking for founding engineers who want to own massive parts of the product, thrive in high-velocity environments, and are excited to help reinvent how clinical research operates.
 
 
 If you want to make a measurable impact on how quickly breakthrough therapies reach patients &mdash; while working at a company with real traction and a massive mission &mdash; we&rsquo;d love to connect.
 
</div>

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

Skyfire

<div>About Skyfire 
Skyfire is building the payment backbone for the emerging machine economy &mdash; a future where AI and machines transact seamlessly, instantly, and autonomously. Current financial systems aren&rsquo;t designed for this, so we&rsquo;re creating one that is.By leveraging stablecoins and blockchain technology, Skyfire enables instant, global micropayments between AI, APIs, data providers, and services. Enterprises can also automate microtransactions at scale &mdash; all with speed, security, and transparency. Our team brings deep experience in payments, fintech, and distributed systems &mdash; and we&rsquo;re moving fast to define how the machine economy will pay for itself.<h2 class="jobSectionHeader">
Why This Role Matters</h2>
As a Backend Engineer at Skyfire, you&rsquo;ll be building the infrastructure that powers high-speed, high-volume machine-to-machine payments. From smart contract integrations to high-throughput APIs, you&rsquo;ll architect, code, and optimize backend systems that will scale from tens to thousands of requests per second. Your work will be critical in making AI-to-AI payments not just possible, but frictionless.<h2 class="jobSectionHeader">
In This Role, You&rsquo;ll Get To:</h2><ul><li>
Design and develop core backend components, including smart contract integrations, payment processing logic, and APIs. 
</li><li>
Implement scalable blockchain solutions for on-chain machine payments with high throughput and low latency. 
</li><li>
Collaborate closely with product to translate requirements into robust, maintainable technical solutions. 
</li><li>
Optimize performance for speed, scalability, and cost-efficiency across distributed systems. 
</li><li>
Mentor junior engineers and foster a culture of technical excellence and innovation. 
</li><li>
Stay ahead of the curve on blockchain, smart contracts, and AI technologies &mdash; integrating them where they create real impact. 
</li></ul><h2 class="jobSectionHeader">
We&rsquo;re Excited About You Because You Have:</h2><ul><li>
A self-starter mindset and the drive to tackle big challenges head-on. 
</li><li>
Strong TypeScript proficiency and Node.js backend development expertise. 
</li><li>
Experience with PostgreSQL or MySQL and sound database design skills. 
</li><li>
Solid system design skills to scale from 10s to 1000s of RPS. 
</li><li>
Familiarity with CI/CD, Kubernetes, and Docker for smooth build and deployment. 
</li><li>
Experience with cloud infrastructure (AWS, GCP, or Azure) &mdash; including networking fundamentals like load balancers and firewalls. 
</li><li>
Strong skills in testing, debugging, and reliability engineering.</li></ul><h2 class="jobSectionHeader">
Bonus Points If You Have:</h2><ul><li>
Experience with REST or GraphQL APIs (design + integration). 
</li><li>
Knowledge of OAuth 2.0, OpenID Connect, SSO, and RBAC. 
</li><li>
Understanding of time complexity and system performance optimization. 
</li><li>
Familiarity with NoSQL / Key-Value Stores. 
</li><li>
Awareness of security best practices for authentication, authorization, and encryption. 
</li><li>
Web3 / blockchain experience &mdash; especially smart contracts and dApps. 
</li></ul><h2 class="jobSectionHeader">
Why You&rsquo;ll Love Working Here:</h2><ul><li>
Competitive cash + equity package &mdash; we believe in rewarding impact. 
</li><li>
Healthcare coverage for you and your family. 
</li><li>
Fast-growth startup environment &mdash; with real ownership from day one. 
</li><li>
Collaborative, high-impact culture &mdash; where innovation and execution thrive. 
</li><li>
Shape the future &mdash; play a key role in how AI and machines transact globally.
Interview Process<ul><li>
Recruiter Screen</li><li>
Woven Assessment</li><li>
Hiring Manager Screen</li><li>
Live Coding</li><li>
System Design</li><li>
Commitment Interview</li></ul></li></ul>
kvxPcdFoav</div>

Senior Backend Engineer

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Senior Backend Engineer