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Experience Level
Entry Level
Qualifications
We are looking for candidates with a strong background in software engineering, particularly in GPU programming and distributed systems. Familiarity with relevant programming languages and frameworks, as well as a passion for solving complex problems, are essential. Ideal candidates will also have experience with parallel computing and a solid understanding of networking protocols.
About the job
Join Baseten as a Software Engineer focusing on GPU Networking and Distributed Systems. In this pivotal role, you'll collaborate with talented engineers and researchers to develop cutting-edge solutions that leverage GPU technology for high-performance networking operations. Your contributions will be instrumental in shaping the future of distributed systems, enhancing performance, scalability, and reliability.
About Baseten
At Baseten, we are committed to innovating the landscape of machine learning and data science. Our dynamic team thrives on collaboration and the pursuit of excellence, driving the development of tools that empower businesses to harness the full potential of their data.
Be Part of the Team Revolutionizing Autonomy in ConstructionAt Bedrock Robotics, we are at the forefront of transitioning artificial intelligence from theoretical frameworks to practical applications. Our team consists of seasoned professionals who have been instrumental in launching Waymo, scaling Segment to a $3.2 billion acquisition, and driving Uber Frei…
About the Role Speechify is looking for an iOS Core Product Software Engineer in San Francisco, CA. This position focuses on building and improving iOS applications that make audio content more accessible and enjoyable. The work centers on delivering a strong user experience for a diverse audience. What You Will Do Develop and maintain core features for Speechify’s iOS app Work closely with teams across product, design, and engineering Apply new technologies to improve app performance and accessibility Help shape the future direction of Speechify’s audio content platform Location This role is based in San Francisco, CA, USA.
Full-time|$135K/yr - $225K/yr|Hybrid|San Francisco Bay Area
About UsEma is at the forefront of developing cutting-edge AI technology designed to empower employees across enterprises to maximize their creativity and productivity. Our innovative platform allows organizations to delegate repetitive tasks to Ema, the AI employee. Founded by former executives from Google, Coinbase, and Okta, as well as seasoned entrepreneurs, we have attracted investment from prestigious firms including Accel Partners, Naspers, and Section32, along with influential Silicon Valley Angels such as Sheryl Sandberg, Divesh Makan, Jerry Yang, Dustin Moskovitz, David Baszucki, and Gokul Rajaram.Our exceptional team includes engineers from top tech giants like Google, Microsoft Research, Facebook, Square/Block, and Coinbase. We are proud to have talent from elite educational institutions such as Stanford, MIT, UC Berkeley, CMU, and IIT. With substantial backing from leading investors, Ema operates from Silicon Valley and Bangalore, India. This position is hybrid, requiring employees to work on-site three days a week.Your RoleWe are in search of a skilled DevOps Engineer to join our dynamic team. You will play a crucial role in the design and construction of our platform and infrastructure, ensuring it scales effectively to meet the demands of our growing product and user base. You will thrive in a fast-paced environment, focusing on system reliability, scalability, and performance, while working on service architecture, deployment, query optimization, distributed systems, machine learning infrastructure, and security protocols. Most importantly, you will be part of a mission-driven, high-growth startup poised to make a significant impact.Key ResponsibilitiesCollaborate with product teams to architect and build the foundational infrastructure for our offerings.Design, develop, and deploy resilient, highly available multi-tenant SaaS solutions across public cloud platforms such as AWS, Azure, and GCP, utilizing technologies like Kubernetes, Helm, Terraform, and Istio.Automate infrastructure tasks including provisioning, configuration management, and deployment, using tools like Terraform, Ansible, and Kubernetes.Work closely with software development teams to enhance CI/CD pipelines, optimize service interfaces, and improve deployment strategies.
Join Arena Intelligence as an Analytics Engineer!Arena Intelligence is a pioneering platform devoted to assessing the performance of AI models in real-world scenarios. Founded by talented researchers from UC Berkeley's SkyLab, our mission is to advance AI applications through rigorous evaluation and transparency.Each month, millions engage with Arena Intelligence to comprehend the effectiveness of cutting-edge AI systems, and we leverage our community’s insights to foster trustworthy and user-centric model evaluations. Top enterprises and AI laboratories depend on our assessments to gauge real-world reliability, alignment, and impact. Our leaderboards set the standard for AI performance, earning trust from industry leaders and steering global discussions on model reliability.Our dynamic team consists of researchers, engineers, and innovators with backgrounds from prestigious institutions such as UC Berkeley, Google, and Stanford. We prioritize truth, speed, and craftsmanship while maintaining an inclusive environment where passionate minds from diverse backgrounds can excel. Our workplace embodies excellence, energy, and concentration.Role OverviewWe are looking for an experienced Analytics Engineer to build and manage the data infrastructure that supports real-world AI evaluations. You will be responsible for designing and implementing analytics-ready data models, pipelines, and metrics that transform raw user data and votes into valuable insights for our stakeholders.This role is positioned at the intersection of data engineering, analytics, and product development. You will collaborate closely with researchers, product managers, and engineers to define schemas, standardize metrics, and ensure accuracy and scalability of our evaluation data. Your contributions will significantly influence how AI performance is assessed and interpreted across the sector.We seek someone who is passionate about crafting clean, robust data systems, values data integrity, and desires to see their work drive product decisions and benefit our external clients.
Shape the Future of E-Commerce with Whatnot!Whatnot stands as the premier live shopping platform across North America and Europe, allowing users to buy, sell, and uncover the products they adore. We are revolutionizing the e-commerce landscape by merging community, shopping, and entertainment into a unique marketplace tailored for you. Our remote co-located teams foster innovation and are deeply rooted in our core values. With operational hubs spanning the US, UK, Germany, Ireland, and Poland, we are collaboratively building the future of online marketplaces.From fashion, beauty, and electronics to collectibles such as trading cards, comic books, and live plants, our live auctions cater to a diverse audience.And this is just the beginning! As one of the fastest-growing marketplaces, we are on the lookout for visionary problem solvers in every department. Stay updated with Whatnot by exploring our news and engineering blogs, and join us in empowering individuals to transform their passions into thriving businesses while fostering connections through commerce. Position OverviewAt Whatnot, our Trust and Risk, Fraud, and Integrity teams are dedicated to developing systems that establish clear expectations, promote positive behavior, and address challenges fairly and efficiently. By merging proactive detection with transparent enforcement, we ensure that Whatnot remains a secure and reliable environment for buyers and sellers alike.Key Focus Areas:Policy Enforcement and Dispute Resolution: Innovating systems that define behavioral expectations, identify policy breaches, and resolve conflicts efficiently.Scalable and Reusable Platforms: Creating and maintaining robust infrastructure that supports both automated and manual operational systems, enhancing detection capabilities.Advanced Detection and Prevention: Utilizing machine learning, behavioral insights, and real-time intervention strategies to combat evolving abuse patterns and safeguard our users.Continuous Improvement: Implementing feedback mechanisms and monitoring systems to ensure ongoing quality assurance and to refine our algorithms, methodologies, and operational processes.
Join Us in Building the Future of SuperintelligenceAt Prime Intellect, we are pioneering the open superintelligence architecture, encompassing cutting-edge agentic models and the infrastructure that empowers anyone to develop, train, and deploy these innovations. We unify and orchestrate global computing resources into a cohesive control plane, complemented by a comprehensive reinforcement learning post-training toolkit that includes environments, secure sandboxes, verifiable evaluations, and our asynchronous RL trainer. Our mission is to enable researchers, startups, and enterprises to conduct end-to-end reinforcement learning at unprecedented scales, seamlessly adapting models for real-world applications and deployment scenarios.As a Research Engineer focused on Decentralized AI Training, you will be instrumental in steering our technological vision, particularly in enhancing our distributed AI training ecosystem. If you are passionate about scaling operations and optimizing training efficiencies, we invite you to explore this exciting opportunity with us.
Join Deepgram, a pioneering leader in voice AI technology, as a Software Engineer specializing in Voice Agents for the restaurant industry. You will play a vital role in developing innovative AI applications that enhance customer experiences and streamline restaurant operations. Your expertise in software development and passion for AI will contribute to transforming how restaurants interact with their customers.
Full-time|On-site|San Francisco, New York, or San Diego
About UsAt Stealth Fintech, we are driven by a bold mission to transform B2B payments. As a well-funded, early-stage startup operating in stealth mode, we are dedicated to creating innovative solutions that redefine how businesses manage financial transactions. If you are passionate about solving significant challenges from the ground up, we invite you to join our team.Role OverviewWe are seeking a Senior Software Engineer to be a pivotal part of our Platform team. In this role, you will design and develop the essential infrastructure that powers our payment solutions. You will tackle complex technical challenges while contributing to the backbone of our technology stack.As a Senior Software Engineer, you will be responsible for architecting, building, and maintaining crucial systems that facilitate our integrations with banking partners. Reporting to the Engineering Manager, you will collaborate with a talented team of engineers who are dedicated to creating a scalable, reliable, and secure payment infrastructure. Your responsibilities will include developing robust APIs, implementing secure transaction processing systems, and constructing a platform that supports high-volume financial transactions.You will interact closely with Product, Architecture, and other Engineering teams to ensure our platform solutions align with product requirements and business objectives, maintaining the highest standards of security and reliability.Key ResponsibilitiesPlatform Development: Design and implement core platform services, APIs, and infrastructure that support banking integrations and payment processing systems.Integration Engineering: Build and maintain secure, scalable integrations with major financial institutions and payment networks.Code Quality & Best Practices: Write clean, maintainable, and well-tested code while contributing to architectural decisions and technical standards.System Reliability: Ensure high availability and performance of platform services, implementing monitoring, alerting, and error handling best practices.Cross-functional Collaboration: Work closely with Product, QA, and other Engineering teams to deliver features that meet both business requirements and user needs.Technical Innovation: Identify opportunities to enhance system performance, developer experience, and engineering processes. Drive improvements to internal tooling, contribute to shared infrastructure, and help evolve our technology stack.
Full-time|On-site|San Francisco, New York, or San Diego
About UsAt Stealth Fintech, we are dedicated to transforming B2B payments. As a well-capitalized, early-stage startup operating in stealth mode, we are developing innovative solutions designed to redefine how businesses handle financial transactions. If you are eager to confront significant challenges from the ground up, we would love to hear from you.We are currently seeking a Fullstack Software Engineer to join our Platform team and contribute to the development of the essential infrastructure that drives our payment solutions. You will engage with complex technical challenges and help establish the foundation of our technology stack.Role OverviewAs a Fullstack Software Engineer, your role will be crucial in designing, developing, and maintaining our web applications and the APIs that support them. You will prioritize creating intuitive, secure, and responsive user interfaces while architecting backend systems capable of processing large-scale financial transactions in real time.Working within an agile framework, you will report directly to the Engineering Manager and collaborate with a diverse team of engineers, designers, and product managers. This position is perfect for those who thrive in early-stage environments and have a passion for crafting secure, compliant financial technology solutions.Key ResponsibilitiesFrontend Development: Create and sustain modern, responsive, and secure web applications using ReactJS with TypeScript, emphasizing performance and accessibility.UI Frameworks: Utilize React-based libraries to develop enterprise-level UI components that adhere to industry standards.Backend Development: Design and maintain RESTful APIs and GraphQL endpoints.Database Management: Develop efficient data models and manage SQL and NoSQL databases for secure handling of transactional and analytical tasks.Real-time Systems: Integrate websockets, message queues, and event-driven architectures to facilitate real-time payment processing and updates.Testing & Quality Assurance: Develop extensive tests using Jest, Cypress, or Playwright to ensure system reliability, and engage in code reviews to uphold high code quality.Web Security: Adhere to financial regulations by implementing advanced security measures, including CSP, secure coding practices, data encryption, and vulnerability assessments.Performance Optimization: Enhance application performance through various optimization techniques.
Full-time|$230K/yr - $230K/yr|On-site|San Francisco
Join our innovative team as a Senior Software Engineer, where you will integrate traditional software engineering with agent management and system development.At Gravity Climate (gravityclimate.com), we are leaders in carbon and energy management. Our cutting-edge product empowers businesses to accurately measure their carbon footprints, ensure compliance with regulations, and optimize energy consumption to achieve significant cost savings while minimizing emissions. Major players across various industries—including finance, technology, consumer goods, and manufacturing—trust Gravity to manage their carbon reporting and energy efficiency initiatives. With a robust funding foundation and a new office in the vibrant Jackson Square area of San Francisco, we are experiencing tremendous growth.This is a critical moment at the intersection of technology and environmental responsibility, and we are seeking visionary engineers who are passionate about the future of software development.Key Responsibilities:In this hybrid role, you will not only be responsible for delivering high-quality software but also for mentoring and guiding a team of agents in the development process. You will utilize tools such as Opus 4.5 through Claude Code & Conductor, focusing on code refinement and continuous improvement. While prior experience with these tools is not mandatory, a willingness to learn and adapt is essential. You will also manage context switching effectively to maintain productivity.Additionally, you will contribute to the establishment of our software development infrastructure. This involves refining system prompts, developing automated verification mechanisms for code self-assessment by agents, and creating specialized skills for our agents that align with our codebase and domain expertise—this is how we achieve scalability and efficiency.Your role will also include staying abreast of emerging technologies, ensuring that we remain at the forefront of innovation. For instance, understanding the significance of Claude Code and Opus 4.5 will be critical for our competitive advantage.Finally, your expertise in agentic frameworks, evaluations, and best practices will ensure that the Gravity Agent remains the most effective tool available for our clients.Why Choose Gravity?Navigating the complexities of carbon accounting requires exceptional data models, and we have established ourselves as the best in the industry due to our automation capabilities. Our success is driven by our commitment to innovation and sustainability, making this an exciting time to join our team.
Full-time|$160K/yr - $220K/yr|On-site|San Francisco
About Abby CareAt Abby Care, we are dedicated to revolutionizing family caregiving in America. Our mission tackles one of the most pressing challenges faced by over 50 million unpaid family caregivers: providing them with the training and employment they deserve for the vital care they offer at home.We are creating a powerful, tech-driven family care platform that enhances the caregiving experience, improves health outcomes, and delivers exceptional support nationwide.As we expand our mission, we are seeking passionate individuals to join our team. Our partnerships with leading healthcare providers, insurance plans, and community organizations, along with the backing of top-tier, mission-focused venture capitalists, empower families across the country. You will become part of a talented team with expertise from renowned companies such as Uber, Scale AI, DoorDash, Dropbox, and Meta.The RoleWe are in search of a motivated and skilled Senior Software Engineer, Mobile (iOS & Android) to join our team. You will report directly to the VP, Head of Engineering. This is a full-time role based in San Francisco, CA (4 days in-person).In this position, you will be at the forefront of transforming family caregiving through innovative, AI-driven mobile solutions. You will lead the development of our mobile applications, ensuring they are user-friendly, intuitive, and robust for family caregivers. Recognizing that our users may not be tech-savvy and may utilize the app in various environments with inconsistent connectivity, you will create solutions that function seamlessly in real-world conditions, establish a comprehensive testing framework, and implement reliable updates that families can depend on daily.Key Responsibilities:Oversee the entire mobile app development lifecycle. You will take ownership from initial concept through to delivery, including technical design, core feature implementation, performance optimization, and oversight of release cycles for both iOS and Android platforms.Create an intuitive and resilient caregiver-focused experience. You will develop user flows that are straightforward, guided, and forgiving, tailored for non-technical users, ensuring the app remains functional in low-connectivity situations.
About UsAt Heidi Health, we believe that healthcare deserves a more harmonious approach—one that fosters continuous and deeply human care. We are pioneering an AI Care Partner designed to enhance the capabilities of clinicians and revolutionize patient care.Our diverse team, comprised of physicians, engineers, designers, researchers, and creative thinkers, is dedicated to developing tools that enable clinicians to concentrate on their most important task: caring for patients.In a short span of 18 months, Heidi has reclaimed over 18 million hours for healthcare professionals, facilitating 73 million patient visits across 116 countries. Currently, more than two million patient visits each week are enabled by Heidi around the globe.With nearly $100 million in funding, we are expanding our footprint in the US, UK, Canada, and Europe, collaborating with top-tier healthcare systems, including the NHS, Beth Israel Lahey Health, and Monash Health.Your RoleIntegrate Seamlessly: You will design systems that seamlessly fit into clinical workflows, ensuring that Heidi functions as an integral part of the EHRs vital to American healthcare.Simplify Complexity: The intricacies of US healthcare billing and compliance can be overwhelming. You’ll create systems that simplify these complexities for clinicians.Commit to Quality: Develop clean, testable code with robust interfaces and effective error handling, ensuring that the workflows are reliable for clinicians and other stakeholders.Focus on Impact: Your work will extend beyond coding; you will assess how your contributions enhance clinician efficiency and boost practice revenue.Implement Intelligent Workflows: You will create systems where AI assists in tasks like extraction and reconciliation, ensuring human oversight and clear audit trails.Collaborate Effectively: Engage in a highly collaborative work environment with regular pairing and shared responsibility for design and implementation.Learn and Adapt: Gain insights into the operational realities of healthcare organizations, particularly the unique requirements of serving US customers, and translate these insights into product enhancements.
About Mariana MineralsAt Mariana Minerals, we are a pioneering minerals company that prioritizes software innovation. Our mission is to provide essential minerals that power the modern energy sector, artificial intelligence, and defense technologies. We are transforming the minerals supply chain by leveraging deep industry knowledge alongside cutting-edge software, automation, and data-driven decision-making.Join us in our commitment to responsible mineral sourcing and supply as we shape the future.Role OverviewWe are seeking a talented Senior Full Stack Software Engineer to lead significant technical projects aimed at developing the next-generation critical minerals supply chain, supporting the global transition to sustainable energy.In this role, you will be responsible for architecting, leading, and delivering software systems that enhance the engineering and construction of vital infrastructure for our minerals supply chain. You will set the technical direction, mentor team members, and oversee the complete delivery of intricate systems. Your key responsibilities will include designing and implementing robust integrations with existing engineering and construction software tools, creating scalable solutions to address internal team challenges, collaborating with ML engineers to implement large language models for unstructured data issues, and leading the creation of a new 'operating system' for the engineering and operation of our mineral processing facilities.This full-stack position requires proficiency in writing production-quality frontend code along with a strong understanding of system design and backend architecture. You will navigate seamlessly between user interfaces and distributed systems, ensuring quality at every layer of the software stack.
Our MissionAt Reflection AI, we are dedicated to creating open superintelligence and making it universally accessible.We are pioneering open weight models designed for individuals, agents, enterprises, and even nations. Our talented team consists of AI researchers and innovators from leading organizations such as DeepMind, OpenAI, Google Brain, Meta, Character.AI, and Anthropic.Role OverviewData is becoming increasingly vital in the realm of AI advancements. Recent significant breakthroughs have frequently stemmed from enhanced data rather than new architectures.As a vital member of the Data Team, your primary role will be to guarantee that the data utilized for training our models adheres to the highest standards of quality, reliability, and impact. You will have a direct influence on our models' performance in essential capabilities.Collaborating with exceptional researchers on our pre-training teams, you will help transform abstract concepts of "good data" into specific, quantifiable standards applicable across extensive data campaigns. We are seeking engineers who possess robust engineering skills combined with a profound curiosity about data quality and its relevance to model performance.In close partnership with our pre-training teams, you will:Take ownership of upstream data quality for LLM pre-training, functioning as either a specialist or generalist across various languages and modalities.Collaborate with research and pre-training teams to convert requirements into measurable quality signals, providing actionable feedback to external data vendors.Incorporate human-in-the-loop processes while designing, validating, and scaling automated QA methods to consistently measure data quality across large-scale campaigns.Create reusable QA pipelines that ensure the delivery of high-quality data to pre-training teams for model training.Continuously monitor and report on data quality, driving ongoing improvements in quality standards, processes, and acceptance criteria.Candidate ProfileStrong engineering background with experience in building data pipelines, QA systems, or evaluation workflows for pre-training data.Detail-oriented with an analytical mindset, capable of identifying failure modes, inconsistencies, and nuanced issues affecting data quality.Solid understanding of the influence of data quality on pre-training, with the capacity to translate quality concerns into tangible signals, decisions, and feedback.
We are seeking a highly skilled Senior Engineer to join our Inference Data Plane team at DigitalOcean. In this pivotal role, you will be responsible for designing and implementing advanced data processing solutions that facilitate machine learning inference at scale. You will work collaboratively with cross-functional teams to optimize our data infrastructure and ensure reliable performance.
Full-time|$230K/yr - $270K/yr|On-site|San Francisco
About the Role:We are seeking a talented and experienced Senior Software Engineer to join our dynamic team focused on developing cutting-edge financial products for Android. In this role, you will leverage your expertise in Android development to create innovative solutions that enhance user experience and drive our mission forward.Key Responsibilities:Design and implement scalable Android applications for financial products.Collaborate with cross-functional teams to define, design, and ship new features.Ensure the performance, quality, and responsiveness of applications.Identify and fix bugs, and enhance application performance.Stay up-to-date with new technology trends and best practices in mobile development.
About the TeamJoin the Applied team at OpenAI, where we are dedicated to responsibly deploying groundbreaking technology. Our products, including ChatGPT, Sora, and the OpenAI API, are transforming industries by offering advanced capabilities such as GPT-5 and a robust suite of multimodal features spanning text, image, audio, and video. We manage extensive platform infrastructure and large-scale inference systems that cater to our global user base. As we continue to innovate, our influence in the tech world expands.Our clients are leveraging our APIs to fuel rapid business growth, unlocking previously unimaginable product functionalities. With offerings like ChatGPT and Sora, we showcase the potential of our technology across diverse media experiences. As we enhance these capabilities, we remain committed to ethical practices, prioritizing responsible deployment over unregulated expansion.As a member of the Applied Engineering team, the Ads Monetization group within Financial Engineering focuses on developing core systems that manage the financial aspects of ChatGPT Ads. These systems are designed for low-latency, high scale, and exceptional reliability, all while ensuring accuracy, auditability, and transparency in financial operations. This role integrates ad delivery, data engineering, and financial systems.Key Responsibilities:Design and implement the foundational monetization systems for ChatGPT Ads.Create and manage the core services and pipelines that facilitate ads monetization from event capture and validation to pricing, metering, and generating billable outputs.Establish and maintain the definitive source of truth for ads monetization data, including schemas, data models, and invariants to ensure consistency, transparency, and auditability.Oversee accuracy and reconciliation: align production outputs with invoicing and finance requirements, develop controls and monitoring systems, and address discrepancies through investigative efforts.Engage in full-stack development to create comprehensive billing solutions for our ChatGPT and API clients.Collaborate effectively with various stakeholders, including Ads Engineering, Data Science, Product, Finance, and Go-To-Market teams, as well as fellow engineers.Ideal Candidate Qualifications:At least 5 years of professional software engineering experience.Proficiency in designing scalable software systems with a focus on reliability and accuracy.Strong collaborative skills to work effectively in a cross-functional team environment.Experience with financial systems and data engineering principles is a plus.
Why You Should Consider Joining AngelListAt AngelList, we are tackling some of the most challenging issues in venture capital and private markets. You will collaborate with a dedicated team that prioritizes precision, urgency, and a long-term vision. If you're eager to redefine how startups are financed and developed, this is your opportunity.About AngelListOur mission is to accelerate innovation by facilitating the success of startups globally. We achieve this by creating the financial infrastructure that enables a broader audience to invest in transformative companies.As a pivotal hub in the venture capital landscape, AngelList manages over $171 billion in assets and has facilitated investments in more than 13,000 startups, including over 300 unicorns. Notably, 57% of premier U.S. VC deals involve AngelList investors. While we have made significant strides, our ambition knows no bounds.If you’re passionate about shaping the future of private markets, we invite you to build that future with us.Role Overview:AngelList supports over 25,000 funds managing more than $170 billion in startup investments. Our software streamlines operations for our internal teams, including operators, financial accountants, and tax professionals. We are on a path to manage $1 trillion in investments.Our goal is to empower the highest-performing venture funds. We can only achieve this by delivering financial information with unmatched accuracy and speed. We need to expedite capital calls and enhance our customer service experience to be as seamless as possible. This will be accomplished by implementing a new product experience allowing general partners to self-serve their requests more effectively and by revamping our accounting systems to automate operational tasks.
Why Join AngelList Join us in tackling the most challenging issues in venture capital and private market ecosystems. At AngelList, we foster a culture that prioritizes precision, urgency, and strategic foresight. If you aspire to influence the future of startup funding and development, this is your opportunity.About AngelListOur mission is to drive innovation by enhancing the success rate of startups globally. We achieve this by creating a robust financial infrastructure that simplifies investment in transformative companies.As the central hub for venture capital and the startup community, AngelList oversees over $171 billion in assets and has facilitated investments in more than 13,000 startups, with over 300 recognized as unicorns. Currently, 57% of premier U.S. VC deals include investors sourced from AngelList. Our ambition knows no bounds.If you're passionate about redefining the landscape of private markets, we invite you to build the future with us.About the RoleAs a Senior Software Engineer on our Banking team, you will play a critical role in developing the foundational services and systems that are essential to AngelList's operations — including account management, transaction workflows, ledger systems, and banking integrations. You will not merely create features; you will be instrumental in constructing the underlying platform that supports those features.This position is highly impactful. The systems you design will be utilized by various teams at AngelList and will form the backbone of a rapidly growing new product vertical. A strong understanding of contracts, reliability, and extensibility is vital, as you will be balancing the precise demands of financial infrastructure with the swift pace of a fast-moving startup environment.
Full-time|$190K/yr - $260K/yr|On-site|San Francisco, California
About Us At Databricks, we are dedicated to empowering data teams to tackle some of the most significant challenges faced in the world today—from transforming transportation to fast-tracking medical innovations. Our mission is realized through the creation and management of the most advanced data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Founded by engineers with a relentless focus on customer success, we eagerly embrace every opportunity to solve complex technical challenges, whether it’s designing cutting-edge UI/UX for data interaction or scaling our services across millions of virtual machines. Our journey has only just begun. Our AI-driven Assistant is the first point of contact for customers seeking guidance on effectively utilizing our platform. The goal of the Customer Engagement and Docs platform team is to expedite problem resolution for our customers using AI and Large Language Models (LLMs). We aim to provide clients with accurate and comprehensive solutions to their inquiries or create experiences that facilitate a smooth transition to a support agent when necessary. As a Staff Engineer, you will work at the crossroads of Product Development and Machine Learning. Your responsibilities will include deeply understanding user behavior, identifying root causes of issues, and leveraging Product, Machine Learning (ML), and LLMs to analyze complex technical scenarios within a secure enterprise environment, ultimately paving the way to their resolution.