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software engineer, fullstack (ai)

machine learning engineer

Quizlet

<div><div><b>About Quizlet:</b></div><div></div><div><br>
At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly.</div><div></div><div><br>
We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We&rsquo;re energized by the potential to power more learners through multiple approaches and various tools.</div><div></div><div><b><br>
Let&rsquo;s Build the Future of Learning</b></div><div>
Join us to design and deliver AI-powered learning tools that scale across the world and unlock human potential.</div><div></div><div><br>
About the Team:</div><div></div><div><br>
The AI &amp; Data Platform team's mission is to build and maintain a rock-solid, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the bedrock upon which our AI ambitions are built. As we consolidate our AI efforts to create a unified and powerful product portfolio, the platform team's primary focus is on achieving operational excellence. We aggressively buy and leverage best-in-class MLOps and DataOps technologies to accelerate the pace of innovation across Quizlet.</div><div></div><div><br>
About the Role:</div><div></div><div><br>
As an AI &amp; Data Platform Engineer, you will help lead the design and development of Quizlet&rsquo;s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and designed for long-term success. You&rsquo;ll partner closely with cross-functional teams to define technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product. This role requires strong technical depth, strategic thinking, and the ability to deliver systems that accelerate ML and Data innovation. You will measure success through platform adoption, reliability improvements, and developer productivity outcomes.</div><div></div><div><br>
We&rsquo;re happy to share that this is an<b> onsite position</b> in our San Francisco office. To help foster team collaboration, we require that employees be in the office a <b>minimum of three days per week</b>: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.</div>
<h3 class="jobSectionHeader"><b>In this role, you will:</b></h3><ul><li>
Accelerate and amplify the work of our Machine Learning Engineers by building ML infrastructure that streamlines the development, testing, and deployment of machine learning models to production</li><li>
Collaborate with cross-functional teams, including Product Management, Data Analytics, and Product Engineering, to build systems that support a diverse range of data needs</li><li>
Build tools and services that improve developer efficiency and platform usability</li><li>
Enable the ingestion and processing of large-scale data, from real-time streaming to batch processing, by developing and implementing scalable and resilient services, platform, and infrastructure</li><li>
Own projects end-to-end, from conceptualization to launch and deployment</li><li>
Partner with Product Engineers and Data Scientists to ensure that critical data is delivered to its destination with maximum availability, recoverability, and operational efficiency</li><li>
Design and deliver reliable data and ML infrastructure, contributing to the team&rsquo;s roadmap and collaborating across functions to enable data-driven features and insights</li></ul><h3 class="jobSectionHeader"><b>
What you bring to the table:</b></h3><ul><li>
5-8+ years of experience building and maintaining large-scale data or ML platforms in production environments</li><li>
Experience contributing to team-wide best practices and advocating for reliability and efficiency in data workflows</li><li>
Deep experience with distributed systems, data pipelines, and ML infrastructure (e.g., Airflow, dbt, GCP, Kubernetes, feature stores)</li><li>
Excellent communication skills with the ability to influence and align diverse stakeholders</li></ul><h3 class="jobSectionHeader"><b>
Bonus points if you have:</b></h3><ul><li>
Experience owning platform architecture</li><li>
Expertise in cross-cloud data infrastructure or hybrid orchestration</li><li>
Contributions to open-source data/ML tooling or internal frameworks</li><li>
Demonstrated impact on developer experience or data reliability culture</li></ul><h3 class="jobSectionHeader"><b>
Compensation, Benefits &amp; Perks:</b></h3><ul><li>
Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $204,000 - $285,000, depending on location and experience, as well as company stock options</li><li>
Collaborate with your manager and team to create a healthy work-life balance</li><li>
20 vacation days that we expect you to take!</li><li>
Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)</li><li>
Employer-sponsored 401k plan with company match</li><li>
Access to LinkedIn Learning and other resources to support professional growth</li><li>
Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits</li><li>
40 hours of annual paid time off to participate in volunteer programs of choice</li></ul><div><b>
Why Join Quizlet?</b></div><div></div><div><br>
 \uD83C\uDF0E Massive reach: 60M+ users, 1B+ interactions per week</div><div>
 \uD83E\uDDE0 Cutting-edge tech: Generative AI, adaptive learning, cognitive science</div><div>
 \uD83D\uDCC8 Strong momentum: Top-tier investors, sustainable business, real traction</div><div>
 \uD83C\uDFAF Mission-first: Work that makes a difference in people&rsquo;s lives</div><div>
 \uD83E\uDD1D Inclusive culture: Committed to equity, diversity, and belonging</div><div></div><div><b><i><br>
We strive to make everyone feel comfortable and welcome!</i></b></div><div>
We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership.</div><div></div><div><br>
We provide a transparent setting that gives a comprehensive view of who we are!</div><div></div><div><b><br>
In Closing:</b></div><div></div><div><br>
At Quizlet, we&rsquo;re excited about passionate people joining our team&mdash;even if you don&rsquo;t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.&rdquo;</div><div></div><div><br>
Quizlet&rsquo;s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion.</div><div></div><div><br>
As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!</div><div></div><div><b><br>
To All Recruiters and Placement Agencies:</b></div><div></div><div><br>
At this time, Quizlet does not accept unsolicited agency resumes and/or profiles.</div><div>
Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.</div><div>
#LI-FT</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Sr./Staff AI & Data Platform Engineer

NODE Referrals

<p><b>Note: This job is by referral only. Candidates must contact Ramone Smith at ramonesmith15@gmail.com for a referral for this position.</b></p><p>Who they're looking for:</p><p><b>TL;DR:</b> Burnt is looking for a Founding Full Stack Engineer to help build their core products from scratch. They&rsquo;d be working directly with the founders, making big technical calls, and actually shaping how everything gets built.</p><ul><li><b>Burnt does not support visa sponsorship at this time.</b></li></ul><p><b>Tech Stack</b></p><ul><li>Python</li><li>Pandas, NumPy, Scikit-learn</li><li>React.js, Next.js, HTML, CSS, JavaScript</li><li>SQL, NoSQL, Graph Databases</li><li>WebSockets, Real-time Databases</li><li>AWS, GCP, Azure</li></ul><p><b>Tools</b></p><ul><li>LangChain</li><li>LlamaIndex</li><li>GitHub</li><li>Docker, Kubernetes</li><li>Postman</li><li>Jupyter</li><li>Terraform</li><li>Datadog / Prometheus (Monitoring)</li></ul><p><b>100% of Must-Haves need to be met</b></p><ul><li>Experience working for a smaller company around 50 employees or less</li><li>3&ndash;5 years of hands-on experience with Python and core data science libraries (e.g., Pandas, NumPy, Scikit-learn)</li><li>3+ years of frontend development with HTML, CSS, and JavaScript</li><li>Proficient in modern frontend frameworks like React.js and Next.js</li><li>Experience building real-time UIs using WebSockets and/or real-time databases</li><li>Strong understanding of various database types: relational (SQL), document, columnar, key-value, and graph</li><li>Proven experience building production-grade AI agents and workflow systems, including observability, evaluation frameworks, and memory management</li><li>Skilled at optimizing small language models for scalability and accuracy</li><li>Comfortable deploying across major cloud providers (AWS, GCP, or Azure)</li><li>Deep understanding of AI safety, security, and compliance best practices</li></ul><p><b>70% of Nice-to-Haves need to be met</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science or a related field</li><li>Strong machine learning foundation with a pulse on the latest in Generative AI</li><li>Experience building frontend applications with Next.js</li><li>Familiarity with Agile development practices and fast iteration cycles</li><li>Natural leadership and clear communication skills</li><li>Entrepreneurial mindset with the ability to navigate ambiguity and move fast</li><li>Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex)</li><li>Open-source contributions or personal ML/AI projects</li><li>Experience scaling ML models in production environments</li><li>Solid data engineering skills&mdash;pipelines, transformations, and infrastructure</li><li>Understanding of GPU infrastructure and model optimization for performance</li></ul><p><b>Note: This job is by referral only. Candidates must contact Ramone Smith at ramonesmith15@gmail.com for a referral for this position.</b></p><p>Job Type: Full-time</p><p>Pay: $125,000.00 - $200,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li></ul><p>Work Location: In person</p>

Founding Full Stack Engineer at Burnt

Atlassian

<div>Overview:
<p><b>
Working at Atlassian</b></p><p>
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.</p>
Responsibilities:
<p>
As a <b>Senior Forward Deployed Engineer (FDE)</b> at Atlassian, you&rsquo;ll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian&rsquo;s AI capabilities to solve complex, real-world problems. You&rsquo;ll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork.</p><p><b>
What you&rsquo;ll do</b></p><p>
As a Senior Forward Deployed Engineer, you will:</p><ul><li><p>
Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs, leveraging frameworks such as TensorFlow, PyTorch, and agent-based platforms (e.g., LangChain, LlamaIndex).</p></li><li><p>
Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.</p></li><li><p>
Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.</p></li><li><p>
Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency.</p></li><li><p>
Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.</p></li><li><p>
Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks.</p></li><li><p>
Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning.</p></li><li><p>
Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.</p></li><li><p>
Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.</p></li></ul>
Qualifications:
<p>
On the first day, we'll expect you to have:</p><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.</p></li><li><p>
5+ years of experience in backend software development.</p></li><li><p>
3+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development.</p></li><li><p>
Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.</p></li><li><p>
Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.</p></li><li><p>
Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.</p></li><li><p>
Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority.</p></li><li><p>
Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR).</p></li><li><p>
Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.</p></li></ul><p>
It's great, but not required, if you have:</p><ul><li><p>
Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features.</p></li><li><p>
Familiarity with regulated industries (e.g., finance, healthcare).</p></li><li><p>
Experience deploying AI solutions to complex production systems at scale.</p></li><li><p>
Prior experience mentoring or leading engineering teams.</p></li></ul><p><b>
Compensation</b></p><p>
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:</p><p>
Zone A: $176,400 - $230,300</p><p>
Zone B: $159,300 - $207,975</p><p>
Zone C: $146,700 - $191,525</p><p>
This role may also be eligible for benefits, bonuses, commissions, and equity.</p><p>
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.</p><p><b>
Benefits &amp; Perks</b></p><p>
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <b>go.atlassian.com/perksandbenefits</b><b>.</b></p><p><b>
About Atlassian</b></p><p>
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.</p><p>
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.</p><p>
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.</p><p>
To learn more about our culture and hiring process, visit <b>go.atlassian.com/crh</b><b>.</b></p></div>

Senior Forward Deployed Engineer, AI (Remote)

Imprint

<div><h2 class="jobSectionHeader"><b>Who We Are</b></h2><p>
Imprint is reimagining co-branded credit cards &amp; financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products&mdash;without becoming a bank.</p><p>
Co-branded cards account for over $300 billion in U.S. annual spend&mdash;but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today&rsquo;s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we&rsquo;re building a world-class team to redefine how people pay&mdash;and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we&rsquo;d love to meet you.</p><p></p><h2 class="jobSectionHeader"><b>
The Team</b></h2><p>
Our <b>AI &amp; Data Implementation team</b> is responsible for designing, deploying, and optimizing artificial intelligence systems that power credit card decisioning, risk management, personalization, and customer service at scale. We work closely with Product, Engineering, Data Science, and Operations to bring AI solutions into production that are safe, explainable, and regulatory-compliant.</p><p>
We&rsquo;re looking for a <b>Senior AI Implementation Specialist</b> who can bridge technical execution with business impact&mdash;leading the rollout of AI tools across the credit card lifecycle, from application to collections, while ensuring compliance with consumer credit regulations.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Do</b></h2><ul><li><p>
Lead the design and implementation of AI models and decision systems in credit card underwriting, fraud detection, collections, and customer engagement.</p></li><li><p>
Partner with Data Science, Risk, and Compliance teams to ensure models meet regulatory requirements (e.g., Fair Lending, Reg Z, ECOA, FCRA).</p></li><li><p>
Translate business requirements into technical specifications, ensuring AI systems are scalable, explainable, and auditable.</p></li><li><p>
Manage deployment of AI solutions into production, including model integration with core platforms and third-party systems.</p></li><li><p>
Establish monitoring and feedback loops to measure AI system performance, fairness, and drift over time.</p></li><li><p>
Collaborate with stakeholders across Product, Operations, and Finance to maximize the business impact of AI-powered initiatives.</p></li><li><p>
Champion best practices for responsible AI use in financial services, including documentation, testing, and governance.</p></li><li><p>
Stay current on emerging AI technologies, regulations, and fintech use cases to guide adoption.</p></li></ul><h2 class="jobSectionHeader"><b>
What We Look For</b></h2><ul><li><p><b>
8+ years</b> of experience in artificial intelligence, machine learning, or advanced analytics, with at least <b>4+ years in credit cards or consumer lending</b>.</p></li><li><p>
Proven track record of deploying AI solutions in production for risk management, fraud detection, marketing personalization, or customer service automation.</p></li><li><p>
Strong understanding of <b>credit card lifecycle processes</b> (acquisition, underwriting, servicing, fraud, collections).</p></li><li><p>
Familiarity with consumer credit regulations and compliance requirements, including model explainability and adverse action notices.</p></li><li><p>
Proficiency in Python (or similar), SQL, and model deployment frameworks.</p></li><li><p>
Experience with cloud-based AI/ML platforms (AWS, GCP, or Azure).</p></li><li><p>
Ability to communicate complex AI concepts clearly to technical and non-technical stakeholders.</p></li><li><p>
Strong problem-solving skills and the ability to balance innovation with regulatory rigor.</p></li></ul><h2 class="jobSectionHeader"><b>
Nice to Have</b></h2><ul><li><p>
Background in fintech, payments, or large-scale consumer credit portfolios.</p></li><li><p>
Experience with deployments in industry systems (AWS Sagemaker).</p></li><li><p>
Knowledge of Large Language Models (LLMs) and their safe deployment in financial services.</p></li><li><p>
Exposure to call center or chatbot AI integrations for servicing credit card customers.</p></li></ul><h2 class="jobSectionHeader"><b>
Perks &amp; Benefits</b></h2><ul><li><p>
Competitive compensation and equity packages</p></li><li><p>
Leading configured work computers of your choice</p></li><li><p>
Flexible paid time off</p></li><li><p>
Fully covered, high-quality healthcare, including fully covered dependent coverage</p></li><li><p>
Additional health coverage includes access to One Medical and the option to enroll in an FSA</p></li><li><p>
16 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents</p></li><li><p>
Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity</p></li></ul><p></p><p><i>
Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let&rsquo;s move the world forward, together.</i></p><p>
Compensation Range: $150K - $175K</p></div>

Senior AI Implementation Specialist – Credit Cards

Alex AI

<div>
 <strong>
  Why Alex?
  <br/>
  <br/>
 </strong>
 Alex is one of the fastest growing startups to come out of its YC batch with strong traction. We&rsquo;re generating revenue and are well-funded by some of the best investors in the Valley with years of runway.
 <br/>
 <br/>
 <strong>
  What are you up to?
  <br/>
  <br/>
 </strong>
 Alex is building the future of hiring. Alex is an AI recruiter that conducts job interviews in real-time. Companies use Alex to get the best hiring signal on their applicant pool and hire in a fraction of the time.
 <br/>
 <br/>
 Alex has a live conversation over a video/phone call with each candidates based on the interview questions our customers choose or that are recommended based on their job description. During the interview, Alex asks personalized follow-up questions in real-time based on the candidate's responses. Alex has already conducted thousands of interviews across engineering, IT, retail, hospitality, and more.
 <br/>
 <br/>
 <strong>
  Who are you?
  <br/>
  <br/>
 </strong>
 We&rsquo;re people who:
 <br/>
 <br/>
 <ul>
  <li>
   genuinely enjoy solving complex engineering problems
  </li>
  <li>
   learn quickly and do what it takes to deliver results
  </li>
  <li>
   work really, really hard
  </li>
  <li>
   move with urgency
  </li>
  <li>
   enjoy and value working together in person in SF 5 days a week
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What technologies do you use?
  <br/>
  <br/>
 </strong>
 You should have experience in:
 <br/>
 <br/>
 <ul>
  <li>
   Javascript (Typescript, React, Node, Next)
  </li>
  <li>
   Python (FastAPI, concurrency)
  </li>
  <li>
   Cloud / DevOps (Azure, Kubernetes, Docker)
  </li>
  <li>
   System Architecture
   <br/>
   <br/>
  </li>
 </ul>
 We also prefer candidates with experience in:
 <br/>
 <br/>
 <ul>
  <li>
   Great frontend design (Figma)
  </li>
  <li>
   ML/DL (open source, inference at scale)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What can I work on?
  <br/>
  <br/>
 </strong>
 Our product is built and operates like a marketplace, as we serve both candidates through the interview experience and employers through the data aggregation and analysis platform. As a hands-on engineer, you will build both consumer-facing and enterprise-grade software, designed for scale.
 <br/>
 <br/>
 Problems that you could work on related to consumer software are:
 <br/>
 <br/>
 <ul>
  <li>
   How can we bring the average interviewer response latency down to 200ms?
  </li>
  <li>
   How can we fine-tune our models to decrease hallucination and increase response accuracy?
  </li>
  <li>
   How will our system architecture change as we scale to thousands more users, concurrently?
   <br/>
   <br/>
  </li>
 </ul>
 Problems that you could work on related to enterprise software are:
 <br/>
 <br/>
 <ul>
  <li>
   How do we integrate with our customer&rsquo;s internal hiring systems?
  </li>
  <li>
   What&rsquo;s the best way to present the interview data visually and as fast as possible?
  </li>
  <li>
   And many, many feature requests that need to be built out!
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What&rsquo;s in it for me?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Take ownership of building the next billion dollar company
  </li>
  <li>
   Collaborate with a tight-knit team of talented builders
  </li>
  <li>
   Launch products that directly impact people&rsquo;s careers
  </li>
  <li>
   Work with the co-founders every day in-person in SF
  </li>
  <li>
   Competitive salary and equity
  </li>
  <li>
   Health/vision/dental insurance, 401(k), unlimited PTO, and great company events
   <br/>
   <br/>
  </li>
 </ul>
 If you&rsquo;ve gotten this far and our culture/tech resonate with you,
 <strong>
  we want you to apply
 </strong>
 . Submit your application with the phrase &ldquo;fast track&rdquo; and we&rsquo;ll fast track your application with an interview directly.
 <br/>
 <br/>
</div>


Full Stack Software Engineer

Lambda

<div>
 Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda&rsquo;s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU.
 <br/>
 <br/>
 If you'd like to build the world's best deep learning cloud, join us.
 <br/>
 <br/>
 <ul>
  <li>
   Note: This position requires presence in our San Francisco or Seattle office location 4 days per week; Lambda&rsquo;s designated work from home day is currently Tuesday.
   <br/>
   <br/>
  </li>
 </ul>
 Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build responsive, feature-rich React applications that enable customers to manage their AI computing resources
  </li>
  <li>
   Ensure performance and scalability across desktop and mobile
  </li>
  <li>
   Translate designs into delightful, interactive UIs
  </li>
  <li>
   Optimize applications for speed, efficiency and usability
  </li>
  <li>
   Create robust communication architectures to interface with internal and third-party services/APIs
  </li>
  <li>
   Collaborate with cross-functional teams (Design, Product, Engineering, Marketing) to gather requirements and deliver high-quality solutions with high feature velocity
  </li>
  <li>
   Develop maintainable, reusable components within our design system
  </li>
  <li>
   Participate in code reviews and contribute to frontend architecture decisions
  </li>
  <li>
   Build integrations with marketing tools for user analytics and tracking
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Are
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   An experienced frontend engineer with 8&ndash;10+ years of professional experience, ideally in fast-paced product environments
  </li>
  <li>
   Passionate about frontend development, with a keen eye for detail.
  </li>
  <li>
   Experienced in user-centric design principles&mdash;color theory, typography, and layout hierarchy come naturally to you.
  </li>
  <li>
   Comfortable collaborating in a cross-functional environment with both technical and non-technical stakeholders.
  </li>
  <li>
   Proactive about staying current with industry trends, driving continuous improvement in your work.
  </li>
  <li>
   Ability to innovate through iteration; using prototypes to navigate solution ambiguity and utilizes data insight
  </li>
  <li>
   Proficient in HTML5, CSS3, JavaScript, and modern frameworks (e.g., React, Angular, Vue.js).
  </li>
  <li>
   Proven ability to lead projects and communicate with cross-functional partners
  </li>
  <li>
   You take a thoughtful, practical approach to problem solving that considers trade-offs and avoids over-engineering
  </li>
  <li>
   You have an ownership mentality in all the things you build, and are comfortable with identifying opportunities and driving forward-looking solutions
  </li>
  <li>
   You have strong project management skills, and partner effectively with cross-functional team members and stakeholders
  </li>
  <li>
   Familiar with Frontend testing frameworks and methodologies
  </li>
  <li>
   Comfortable with CI/CD pipelines
  </li>
  <li>
   Knowledgeable about accessibility standards (WCAG) and best practices.
  </li>
  <li>
   Knowledgeable in tracking mechanisms and tooling (utms, Heap, google tag manager, etc)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience in mobile application development and responsive web design.
  </li>
  <li>
   Background in fast-paced startup environments.
  </li>
  <li>
   Knowledge of the machine learning or computer hardware industry.
  </li>
  <li>
   A strong portfolio showcasing significant design and development contributions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Salary Range Information
  <br/>
  <br/>
 </strong>
 The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
 <br/>
 <br/>
 <strong>
  About Lambda
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Founded in 2012, ~400 employees (2025) and growing fast
  </li>
  <li>
   We offer generous cash &amp; equity compensation
  </li>
  <li>
   Our investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK &amp; Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.
  </li>
  <li>
   We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
  </li>
  <li>
   Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  </li>
  <li>
   Health, dental, and vision coverage for you and your dependents
  </li>
  <li>
   Wellness and Commuter stipends for select roles
  </li>
  <li>
   401k Plan with 2% company match (USA employees)
  </li>
  <li>
   Flexible Paid Time Off Plan that we all actually use
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  A Final Note
  <br/>
  <br/>
 </strong>
 You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
 <br/>
 <br/>
 <strong>
  Equal Opportunity Employer
  <br/>
  <br/>
 </strong>
 Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
 <br/>
 <br/>
 Compensation Range: $207K - $401K
</div>


Frontend Software Engineer

Discord

Discord is used by over 200 million people every month for many different reasons, but there&rsquo;s one thing that nearly everyone does on our platform: play video games. Over 90% of our users play games, spending a combined 1.5 billion hours playing thousands of unique titles on Discord each month. Discord plays a uniquely important role in the future of gaming. We are focused on making it easier and more fun for people to talk and hang out before, during, and after playing games.Discord seeks a Trust &amp;amp; Safety Content Annotation Analyst to strengthen our content moderation systems to more accurately and effectively enforce our Community Guidelines at scale. Reporting to our Core Initiatives team, you'll annotate user-reported content to train machine learning models that detect harmful behavior. This role requires flexibility across diverse policy domains, so the ideal candidate balances analytical precision with good judgment and a calm demeanor, even when handling sensitive or potentially distressing content. You'll apply operational rigor to audit ML outputs, investigate the root causes of policy interpretation errors, and communicate your findings to stakeholders across Trust &amp;amp; Safety. Through this work, you'll expand knowledge of policy areas and safety processes while aiding responsible, large-scale user protection. This position is temporary. What you'll be doing Annotate user-reported content with precision and consistency to build high-quality training datasets that capture the nuance ML models need to make accurate decisions. Quickly align with internal interpretations to apply policy judgments across multiple harm categories, including social engineering, threats, graphic content, teen safety, and harassment. Work with policy teams to navigate edge cases and ambiguous content, ensuring your annotations reflect current Community Guidelines and platform context. Audit ML model decisions to spot misclassification patterns, then investigate why automated and human judgments diverge. Partner with ML engineers and policy stakeholders to share insights on model performance, propose new annotation frameworks, and flag content categories requiring stronger detection. What you should have 2+ years of experience in trust &amp;amp; safety or policy work in a social online platform environment. A track record of strong judgment and adaptability across a broad range of trust &amp;amp; safety harm types which we enforce via our Community Guidelines. Ability to focus within structured policy taxonomies and annotation frameworks while maintaining consistency: you&rsquo;ll be reviewing a lot of content, and experience with deep focus to quickly get through a backlog will be crucial. A calm, resilient demeanor when handling sensitive or potentially distressing content. A strong curiosity around online culture and communication, and the nuances surrounding online speech. Strong communication skills to effectively document annotation rationales and convey findings and recommendations to a wide range of stakeholders, such as policy, quality assurance, and machine learning engineers. The ability to go between specific annotation decisions and broad operational trends, evidenced by previous exposure to quality assurance, root cause analysis, process improvement, or operational excellence initiatives. Bonus points Hands-on experience with data annotation or dataset creation for machine learning applications. Familiarity with prompt engineering and ongoing iteration on LLMs. Familiarity with Discord or similar community-based platforms as a user or moderator. Experience working on globally distributed, hybrid work teams. Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). The US hourly rate range for this full-time position is $51.92 to $58.40 + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include benefits.Why Discord?Discord plays a uniquely important role in the future of gaming. We're a multiplatform, multigenerational and multiplayer platform that helps people deepen their friendships around games and shared interests. We believe games give us a way to have fun with our favorite people, whether listening to music together or grinding in competitive matches for diamond rank. Join us in our mission! Your future is just a click away! Discord is committed to inclusion and providing reasonable accommodations during the interview process. We want you to feel set up for success, so if you are in need of reasonable accommodations, please let your recruiter know. Please see our Applicant and Candidate Privacy Policy for details regarding Discord&rsquo;s collection and usage of personal information relating to the application and recruitment process by clickingHERE.

Trust & Safety Content Annotation Analyst

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