About Quizlet:At Quizlet, we strive to empower every learner to achieve their goals in the most effective and enjoyable manner possible. Our $1 billion-plus learning platform caters to tens of millions of students each month, including two-thirds of U.S. high schoolers and half of U.S. college students, facilitating over 2 billion learning interactions monthly.We merge cognitive science with innovative machine learning techniques to personalize and enhance the educational experience for students, professionals, and lifelong learners alike. Our enthusiasm lies in our potential to support a diverse range of learners through various approaches and tools.Let’s Shape the Future of Learning TogetherJoin us in designing and delivering cutting-edge, AI-driven learning tools that scale globally and unlock human potential.About the Team:The AI & Data Platform team is dedicated to creating and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we unify our AI initiatives to develop a powerful product portfolio, the platform team focuses on achieving operational excellence. We actively adopt and optimize the best MLOps and DataOps technologies to expedite innovation throughout Quizlet.About the Role:As a Senior AI & Data Platform Engineer, you will play a vital role in crafting Quizlet’s next-generation analytical data and machine learning architecture. Collaborating with teams across Data Science, ML Engineering, and Product, you will deliver scalable, dependable, and efficient systems that support the development and deployment of AI-enhanced features.Your success will be evaluated based on platform reliability, developer experience, and adoption across teams. This position offers the chance to work with state-of-the-art technologies and contribute to the foundational infrastructure that drives Quizlet’s AI roadmap.We are excited to inform you that this is an onsite position located in our San Francisco office. To encourage team collaboration, we require employees to be in the office at least three days a week: Monday, Wednesday, and Thursday, along with any additional days as requested by your manager or the company. We believe this work environment enhances productivity, fosters team synergy, and supports both employee and organizational growth.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their goals through our innovative learning platform. With a valuation exceeding $1 billion, we engage tens of millions of students each month, including two-thirds of U.S. high school students and half of U.S. college students, facilitating over 2 billion learning interactions monthly.Our approach combines cognitive science with cutting-edge machine learning technologies to create personalized and enriched learning experiences for students, professionals, and lifelong learners. We are driven by the opportunity to support more learners through diverse methodologies and tools.Let’s Build the Future of LearningJoin our mission to design and implement AI-driven learning tools that scale globally and unleash human potential.About the Team:The Quizlet Mobile team is committed to being the leading force in digital learning on mobile platforms. Our team develops and enhances the essential mobile functionalities that make Quizlet a reliable learning partner, covering everything from flashcards and practice modes to AI-enhanced study experiences. We work collaboratively with the wider mobile organization, backend services, design, and product teams to provide seamless, top-quality learning experiences on both iOS and Android devices.About the Role:We are on the lookout for a Staff Engineer to join one of our Mobile teams in San Francisco. In this role, you will lead a team that shapes the core functionalities crucial for keeping learners engaged and successful.You will collaborate closely with engineers, designers, and product managers to deliver exceptional mobile experiences. Your responsibilities will include influencing technical direction, steering architectural decisions, and mentoring fellow engineers while overseeing projects from conception to launch. We seek an individual passionate about crafting intuitive mobile experiences.We are pleased to announce that this is an onsite position at our San Francisco office. To foster teamwork, we require employees to be present in the office a minimum of three days per week: Monday, Wednesday, and Thursday, or as directed by your manager or the company. We believe this arrangement enhances work efficiency, team collaboration, and supports both individual and organizational growth.

Quizlet, Inc. supports millions of learners each month by combining cognitive science with advanced machine learning. The platform serves two-thirds of U.S. high school students and half of college students, powering over 2 billion learning interactions monthly. Quizlet’s mission centers on making education more personal and effective for students, professionals, and lifelong learners. The AI & Data Platform team underpins Quizlet’s applied AI initiatives. This group develops and maintains the systems behind personalization, recommendations, the AI Coach, content generation, and emerging agentic experiences. The team oversees the full machine learning model lifecycle: data and feature engineering, training, evaluation, deployment, and inference. Reliability, speed, security, and observability guide their work. Their approach blends managed Google Cloud services, top vendor tools, open-source solutions, and custom internal abstractions to achieve efficient, reliable outcomes. Role overview The Senior Staff Engineer, AI Platform, is a senior individual contributor who defines the technical direction for Quizlet’s next generation of machine learning and large language model infrastructure. This hands-on role involves architecting core platform systems, steering build-versus-buy decisions, and collaborating with teams across Applied AI, Data Science, Product Engineering, and Infrastructure. The position sets standards for how models and LLM-driven systems are trained, evaluated, deployed, and governed at scale. This role is well suited to an engineer who excels at the senior-staff level in large organizations but values the autonomy and impact of a smaller, cloud-native setting. The technology stack includes Google Cloud, Kubernetes and GKE, distributed training, MLflow workflows, data and feature platforms, online and asynchronous inference, and the evaluation and observability tools needed to operate predictive ML and LLM systems at scale. Work location and schedule This is an onsite position based in San Francisco, CA. Team members are expected in the office at least three days a week: Monday, Wednesday, and Thursday, to foster collaboration.

About Quizlet:At Quizlet, we are dedicated to empowering learners to achieve their educational goals in the most effective and enjoyable manner. With our learning platform valued at over $1 billion, we cater to millions of students monthly, including a significant portion of U.S. high school and college students, facilitating over 2 billion learning interactions each month.By integrating cognitive science with cutting-edge machine learning techniques, we personalize and enhance the learning experience for students, professionals, and lifelong learners. Our enthusiasm lies in the potential to support more learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a part of our mission to design and deliver AI-driven learning solutions that extend globally and unlock human potential.About the Team:The AI & Data Platform team is committed to building and maintaining a robust, scalable, and efficient foundation for all data and machine learning operations at Quizlet. This team is the cornerstone of our AI aspirations. As we streamline our AI initiatives to create an integrated and powerful product suite, the platform team’s main focus is on operational excellence. We actively adopt and utilize top-tier MLOps and DataOps technologies to hasten innovation across Quizlet.About the Role:As a Staff AI & Data Platform Engineer, you will spearhead the design and development of Quizlet’s analytical data and machine learning infrastructure, ensuring our platforms are scalable, reliable, and geared for long-term success. You will collaborate closely with cross-functional teams to establish technical direction, guide architectural decisions, and mentor engineers across Data Science, ML Engineering, and Product.This position demands profound technical expertise, strategic insight, and the ability to deliver systems that enhance ML and data innovation at scale. You will gauge success through platform adoption, improvements in reliability, and outcomes related to developer productivity.We are pleased to inform you that this is an onsite position at our San Francisco office. To promote team collaboration, we ask employees to be present in the office at least three days a week: Monday, Wednesday, and Thursday, as well as as required by your manager or the company. We believe that this work environment enhances efficiency, fosters teamwork, and supports both personal and organizational growth.

Join Our Team at Hayden AIAt Hayden AI, we are dedicated to revolutionizing public transit and government operations through innovative computer vision technologies. Our mission is to tackle real-world challenges faced by transit systems, enabling them to enhance safety, optimize transportation, and contribute to a sustainable future.We develop advanced mobile perception systems designed to improve transit flow and street safety. As a part of our dynamic team, you will work at the forefront of technology, utilizing AWS and GCP cloud services while developing cutting-edge Linux-based edge devices.Role OverviewWe seek an enthusiastic Senior Software Engineer to enhance our data platform, ensuring it is reliable, scalable, and high-performing. In this role, you will design and construct core data infrastructure, optimize data pipelines, uphold data quality standards, and collaborate closely with product and data science teams to deliver transformative data solutions that drive business insights.

Join Quizlet as a Principal Technical Program Manager where you will lead large-scale technical projects that enhance our educational platform. You will collaborate with cross-functional teams to deliver innovative solutions that meet the needs of our users and contribute to our mission of making learning accessible and effective.

Airtable is the leading no-code app platform that empowers individuals closest to their work to expedite critical business processes. Over 500,000 organizations, including 80% of the Fortune 100, depend on Airtable to revolutionize their workflows.At Airtable, we are dedicated to democratizing software development—enabling anyone to create powerful, adaptable tools without needing to code. Our transition to an AI-native platform allows customers to generate complete applications and seamlessly integrate AI agents into their operations. Data engineering is pivotal in this transformation, providing the insights necessary for our teams to enhance user experiences, gauge agent effectiveness, and assess business performance on a large scale.As a Data Engineer at Airtable, you will play a vital role in our data engineering initiatives. You'll design and manage essential data pipelines that facilitate informed decision-making, collaborate with company leaders to develop scalable data solutions, and implement innovative alerting and visualization systems.

Responsibilities:Develop Our Product. Take ownership of software features that enhance our AI platform, empowering private market investors to analyze deals swiftly and accurately. This role requires you to actively engage in coding and delivering essential platform components from the ground up.Ensure Quality and Excellence. Establish and maintain coding standards, architectural guidelines, and review procedures; mentor fellow engineers. Co-cultivate a culture centered on practical, reliable, and test-driven development that swiftly meets business requirements.Scale for Growth. Assist in monitoring and scaling the architecture of our platform and its infrastructure.Collaborate Across Functions. Engage closely with product, security, and go-to-market teams to translate our strategic roadmap into actionable features and deliverables.

About AlphaSense: AlphaSense is the go-to platform for the world's most advanced companies, helping them eliminate uncertainty in decision-making through unparalleled market intelligence and AI-driven search capabilities. Our trusted insights derive from a vast universe of both public and private content, including equity research, company filings, event transcripts, expert calls, news, trade journals, and proprietary client research.With the recent acquisition of Tegus in 2024, AlphaSense is poised to further enhance our mission of empowering professionals to make informed decisions using AI-enhanced market intelligence. This collaboration will drive growth, innovation, and content expansion, providing users with deeper insights across an extensive array of content sets. We proudly serve over 6,000 enterprise customers, including most of the S&P 500. Founded in 2011 and headquartered in New York City, we have grown to over 2,000 employees with offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us!About the Team:Our diverse Product & Engineering team is committed to fostering innovation, collaboration, and ongoing improvement of our platform. We provide a dynamic work environment that encourages growth and allows employees to work with cutting-edge technology shaping the future of AI and search.At AlphaSense, we celebrate diverse experiences and perspectives, ensuring our workplace is inclusive and empowering for all employees to express their authentic selves.About the RoleWe are in search of a seasoned engineering leader to revolutionize the development and operation of AI-powered systems on a large scale. You will be part of a talented team of engineers who have created leading-edge AI applications. Your objective will be to implement world-class engineering practices that ensure the reliability of these innovations for our enterprise clientele.This role presents a unique opportunity for an experienced engineer who excels in building robust platforms, mentoring talented teams, and establishing engineering excellence. You will enjoy significant autonomy in shaping our technical architecture while working with cutting-edge AI models and agentic systems that empower market intelligence for some of the world's leading organizations.

Employee Applicant Privacy NoticeAbout Us:Join us in shaping a brighter financial future. At SoFi, we are revolutionizing the personal finance experience for our millions of members through innovative mobile technology.As a next-generation financial services company and national bank, we pride ourselves on being at the forefront of an unprecedented transformation in the industry. Our core values guide our efforts every day, driving meaningful changes that impact people's lives. Invest in yourself, your career, and the financial world with us.SoFi is on the lookout for a seasoned and driven Senior Staff Data Engineer to lead our Data Engineering group within the SoFi Data Platform (SDP) division. The SDP's mission is to harness data across SoFi, enabling the development of personalized and engaging experiences for our members.The Role:In this position, you will have the chance to significantly influence and steer the architecture of our next-generation AI-powered SoFi Data Platform (SDP). You will enhance data reliability through AI-driven workflows, tools, and practices. You will be responsible for leading, defining, and tackling complex problems in a fast-paced, collaborative environment. The ideal candidate will be a mentor and technical leader who is hands-on, with a strong sense of ownership and a commitment to delivering results.

Join Perplexity as a skilled Software Engineer, where you will play a pivotal role in developing the next-generation AI Foundation and Platform. Our mission is to transform how individuals search and engage online. In this exciting position, you will contribute to building Perplexity's comprehensive AI data, evaluation, and personalization infrastructure, which underpins nearly all of our agent products.Technology Stack: Spark | AWS Data Stack (S3, RDS, DynamoDB, Docker, EKS, Kinesis) | Pytorch | Databricks | Snowflake | LLM APIsAs we continue to expand our user base and diverse use cases, our data stack ensures that millions around the globe receive fast, personalized answers.

Join Trunkio, where our mission is to enable teams to develop high-quality software swiftly. We have collaborated with engineering teams at top-tier companies like Google X, Zillow, and Brex to identify build failures, manage flaky tests, and enhance code deployment speed without compromising reliability. Although AI has accelerated code writing, the delivery process remains a challenge due to merge conflicts, inconsistent code quality, and other productivity-draining issues. Our goal is to help engineering teams focus on the design, implementation, and delivery of exceptional software, resulting in more fulfilling work experiences. We are currently developing a CI Reliability Platform that empowers teams to deliver code efficiently.Founded in 2021 by industry veterans from Uber, Google, YouTube, and Microsoft, Trunkio has successfully raised a $25M Series A led by Initialized Capital and a16z, with backing from notable investors including Haystack Ventures and the creators of GitHub, Apollo GraphQL, and Algolia.We are seeking a passionate and skilled Senior Software Engineer to join our Platform/Data Engineering team. In this pivotal role, you will design and optimize data ingestion pipelines to manage large volumes of real-time and batch data from diverse sources. Your expertise will be vital in creating systems that are scalable, reliable, and performant, while also ensuring seamless data integration across our ecosystem.

Join Flux: Revolutionizing Hardware EngineeringAt Flux, we are transforming the landscape of hardware engineering with our pioneering AI Hardware Engineer. Our mission is to empower innovators worldwide to design and build cutting-edge hardware effortlessly.Your RoleAs a Senior Platform Engineer, you will be at the forefront of developing robust systems that enhance the Flux platform. You'll be responsible for crucial functionalities beyond the editor, including billing, authentication, onboarding, and integrations.Your contributions will directly impact every user, ensuring seamless operations and enabling Flux to scale efficiently.Core ResponsibilitiesDevelop and sustain user-centric platform features, such as billing, authentication, onboarding, and settings.Integrate and manage third-party APIs including Stripe, Firebase, and various analytics tools.Create backend services using TypeScript/Node.js and develop frontend components with React.Enhance the reliability and performance of essential platform workflows.Establish standards for observability, logging, and error tracking.Collaborate with cross-functional teams to design APIs that enable new products and integrations.Document architecture and best practices within your domain.

Join our dynamic team at tvScientific as a Senior Data Engineer. In this role, you will play a pivotal part in shaping our data infrastructure, enhancing our analytics capabilities, and driving data-driven decision-making across the organization. You will collaborate closely with cross-functional teams to implement innovative data solutions that support our strategic objectives.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

Join frontcareers, a pioneering AI-driven customer service platform that fosters collaboration and innovation. Our platform integrates essential support channels into a sleek, user-friendly workspace, enabling teams to efficiently manage requests, automate tedious tasks, and enhance customer experiences throughout their journey. With cutting-edge workflows, advanced AI features, and deep customer insights, we empower organizations to prioritize customer satisfaction daily. Trusted by over 9,000 forward-thinking companies, including CultureAmp, HootSuite, and Y Combinator, frontcareers is committed to delivering exceptional service at scale.Supported by Sequoia Capital and Salesforce Ventures, we have successfully raised $204M from esteemed venture capital firms and influential investors, including top executives from Atlassian, Okta, Qualtrics, Zoom, and PagerDuty. Our commitment to creating a positive workplace has earned us numerous accolades, such as Built In's 100 Best Midsize Places to Work in SF 2025, Top Places to Work by USA Today 2025, Y Combinator's Top Companies in 2023, #4 on Fortune’s Best Workplaces in the Bay Area™, Inc. Magazine's 2022 Best Workplaces list, and Forbes Best Startup Employers 2022 List.At frontcareers, we recognize that AI is revolutionizing the customer service landscape. Our Core AI Platform team, comprised of top-tier applied AI and engineering professionals, is pivotal in shaping our AI-driven initiatives. We are seeking an inspirational Engineering Manager to lead this talented team and significantly influence our product and customer experiences.The Core AI Platform team's key responsibilities include:Developing and sustaining the foundational AI infrastructure, including LLM integrations and RAG pipelines.

Join Crusoe as a Senior Data Engineer, where you will play a critical role in enhancing our data infrastructure and analytics capabilities. You will be responsible for designing, developing, and maintaining robust data pipelines to support our cutting-edge applications.As a key member of our engineering team, you will work closely with data scientists and analysts to ensure that data is accessible, accurate, and actionable.

Join our innovative team at Harvey as a Software Engineer focusing on our AI Platform. In this role, you will leverage cutting-edge technologies to develop and enhance AI-driven solutions that empower our users and transform industries. You will collaborate with cross-functional teams to design robust software architectures and implement scalable solutions that meet the needs of our diverse clientele.

About AbridgeFounded in 2018, Abridge is dedicated to enhancing comprehension in healthcare through innovative technology. Our AI-driven platform is specifically designed for medical conversations, streamlining clinical documentation while allowing clinicians to prioritize what truly matters—their patients.Our cutting-edge technology converts patient-clinician discussions into structured clinical notes in real-time, seamlessly integrating with electronic medical records (EMR). Leveraging Linked Evidence and our unique, verifiable AI, we are the only organization that correlates AI-generated summaries with ground truth, enabling providers to trust and verify outcomes swiftly. As trailblazers in generative AI for healthcare, we are establishing industry standards for the ethical use of AI across health systems.We are a diverse team of practicing MDs, AI experts, PhDs, creatives, technologists, and engineers united in our mission to empower individuals and simplify healthcare. Our offices are located in the vibrant Mission District of San Francisco, SoHo in New York, and East Liberty in Pittsburgh.The RoleAs Abridge expands, we seek skilled Platform Engineers to join our team and enhance our cloud infrastructure and developer experience. You will be a vital member of a centralized Platform team, focusing on platform development, adoption, and ongoing support of existing tools and software. This role is primarily infrastructure-oriented (80%) with a smaller focus on application software (20%).Your responsibilities will include transforming our infrastructure stack to be multi-tenant and multi-cloud, implementing and promoting cloud security practices, managing modular Terraform, and integrating new cloud infrastructure into our production stack for scalability. Additionally, you will develop service templates and various developer tools, including canary releases, feature flagging, load testing, CI/CD pipelines, and more.The platform we are creating aims to enhance both engineering speed and security, accommodating substantial scale while offering numerous opportunities for creativity, autonomy, and leadership in taking projects from inception to completion. This is a unique chance to accelerate your career within a rapidly growing company using the latest technologies.