Engineering Manager, Search Quality

About SunoSuno is revolutionizing the music industry by harnessing the power of advanced AI technology to inspire creativity. Our innovative platform, which includes the groundbreaking Suno Studio, provides an exceptional generative audio workstation designed for everyone—from casual singers to aspiring songwriters and seasoned musicians. Suno is dedicated to empowering a diverse global community to create, share, and explore music, celebrating the joy of musical expression for all.About the RoleWe are seeking a visionary leader to spearhead our recommendations team at Suno. In this pivotal role, you will be at the forefront of developing our music discovery and recommendation systems, shaping how millions of users engage with music on our platform. Your expertise will drive the evolution of our systems while fostering a collaborative and innovative team environment.This position is ideal for an individual with extensive experience in scaling recommendation systems and a passion for crafting a superior user experience. If you are excited to apply your skills in a dynamic setting and lead a talented team, we want to hear from you!Discover more about this role at Suno!What You'll DoDefine and execute Suno's vision and strategy for recommendations, setting the technical direction for the team.Collaborate with leaders across product, engineering, and research to ensure our recommendations evolve in alignment with platform growth.Lead the design and development of a comprehensive recommendation system, from initial prototyping to large-scale deployment.Recruit, mentor, and expand a high-performing recommendations team.What You'll NeedA minimum of 5 years of experience in building large-scale recommendation systems, with at least 2 years in a leadership role overseeing development.Profound technical knowledge of cutting-edge technologies and methodologies in recommendation systems, along with a pragmatic approach to implementation.Exceptional collaborative skills with a proven ability to influence cross-functional teams.A genuine passion for Suno's mission and a keen interest in shaping the future of music discovery.Bachelor’s degree or equivalent experience.Additional Notes: Candidates must be eligible to work in the United States.This role requires onsite presence in San Francisco.

Role Overview Hinge Health is hiring a Senior Software Engineer focused on Search at our San Francisco headquarters. This role centers on building and refining search features that help users find what they need quickly and easily. The work supports our mission to improve healthcare experiences through technology. What You Will Do Design and implement advanced search functionality for our platform Work closely with teams across engineering, product, and design to deliver solutions that improve user experience Contribute ideas and code that shape the direction of our search systems Who We’re Looking For Experience building or improving search features in software products Interest in solving technical challenges that impact healthcare Comfort working with cross-functional teams

At Ironclad, we are revolutionizing the way legal agreements are managed with our leading AI contracting platform. We transform contracts into valuable assets, enabling faster processing, immediate insights, and empowering agents to drive projects forward, all while maintaining user control. Ironclad integrates the entire contracting process into a single intelligent platform, giving organizations the visibility they need to remain ahead of the curve. Trusted by pioneering organizations such as OpenAI, the World Health Organization, and the Associated Press, we are committed to accelerating business operations worldwide.Recognized as an industry leader, Ironclad is a proud recipient of accolades like Leader in the Forrester Wave and Gartner Magic Quadrant for Contract Lifecycle Management, a Fortune Great Place to Work, and one of Fast Company’s Most Innovative Workplaces. We have also earned spots on Forbes’ AI 50 and Business Insider’s list of Companies to Bet Your Career On. With backing from top investors including Accel, Y Combinator, Sequoia, BOND, and Franklin Templeton, we’re poised for significant growth. Explore more about us at www.ironcladapp.com or follow us on LinkedIn.Engineering at IroncladAs a Senior Software Engineer specializing in Search and Discovery, you will collaborate across teams to identify business challenges and architect innovative solutions. Your work will enable legal professionals to scale their operations exponentially. We seek forward-thinking engineers who understand UI performance as a fundamental engineering challenge. If you have a passion for optimizing rendering cycles, refining critical path CSS, and creating accessible, top-tier experiences in a collaborative and high-growth environment that values remote flexibility and technical excellence, we invite you to help us reshape the legal industry.Search and Discovery TeamWe believe that 'legal software' should not feel outdated. Our goal is to enhance global business efficiency by providing real-time, actionable contract intelligence. The Search & Discovery team is dedicated to crafting seamless user experiences that surface critical insights through intuitive features and an elegant UI. In this role, you will not just be building components; you'll be designing the entire feature lifecycle, enabling users to visualize, edit, and extract complex legal data instantly, turning extensive document collections into valuable insights.This role entails addressing the significant technical challenges associated with rapid growth, including optimizing UI render cycles for data-intensive workflows.

Role overview Foxglove seeks a Senior Software Engineer specializing in Search & Curation for its San Francisco office. This role centers on developing and enhancing software that powers search features and content curation tools used throughout Foxglove’s products. What you will do Design and build new software solutions to improve search capabilities and make content curation more efficient. Collaborate with colleagues from various teams to deliver stable, well-crafted products. Architect scalable systems that can adapt to growth and changing needs. Tune and optimize search algorithms to achieve better speed and accuracy.

Mapbox stands as a premier real-time location platform, empowering a new generation of location-aware businesses. Our platform uniquely provides organizations with a comprehensive suite of tools essential for navigating people, packages, and vehicles across the globe. With over 4 million registered developers choosing Mapbox for its flexibility, security, and privacy compliance, companies leverage our applications, data, SDKs, and APIs to craft tailored and immersive experiences that captivate their customers.About the Search Data TeamThe Search Data team is responsible for providing address, place, and points of interest (POI) data for global searches across various countries. This functionality is critical for our clients’ applications, and our team collaborates closely with the Maps and Navigation divisions at Mapbox. We handle batch data from a multitude of sources, utilizing ETL data pipelines to prepare it for our search engines. This work presents diverse challenges, including algorithm development, scalability, and quality assessment. As a Software Development Engineer on the Search Data team, you will engage with vast datasets—hundreds of millions of records—playing a crucial role in developing sophisticated mapping and navigation software for vehicles, web applications, and mobile devices.With AI increasingly integrated into engineering workflows, we seek engineers who can thoughtfully incorporate AI into design, development, and decision-making. Our interview process will include discussions surrounding your use of AI in engineering.

About Quizlet:At Quizlet, we are dedicated to empowering every learner to achieve their goals in the most efficient and enjoyable manner. Our $1 billion learning platform caters to millions of students monthly, including approximately two-thirds of high schoolers and half of college students in the U.S., facilitating over 2 billion learning interactions every month.We integrate cognitive science with advanced machine learning to personalize and enhance the educational experience for students, professionals, and lifelong learners alike. Our drive is fueled by the potential to support learners through diverse approaches and tools.Join Us in Shaping the Future of EducationBecome a vital part of our mission to design and deliver AI-driven learning tools that reach learners worldwide and unlock human potential.About the Team:You will be a part of a dynamic and rapidly expanding team focused on transforming how students engage with Quizlet and its offerings. Our primary objective is to motivate users to return frequently for extended study sessions, thus aiding their academic success. In this role, you will work closely with a pioneering engineering team utilizing cutting-edge AI techniques for Quizlet’s search and recommendations system.Our team operates with agility and adaptability, responding quickly to user feedback as we advance significant product innovations. Together, we are devoted to providing a transformative learning experience for students everywhere.About the Role:As a pivotal member of our team, you will design and enhance the content system that drives recommendations, searches, and user engagement across Quizlet. You will collaborate closely with product managers to ensure the content provided to users is tailored to their unique context, learning objectives, and subject mastery. To accomplish this, you will work alongside machine learning engineers, data scientists, subject matter experts, and data engineers.We are pleased to announce that this is an onsite position. To foster collaboration among team members, we require that employees be present in the office a minimum of three days a week: Monday, Wednesday, and Thursday, as well as on an as-needed basis as determined by your manager or the company. We firmly believe that this work environment enhances productivity, strengthens teamwork, and supports both individual and organizational growth.

About Quizlet:At Quizlet, our vision is to empower every learner to achieve their educational goals in the most effective and enjoyable manner. As a thriving $1B+ educational platform, we serve two-thirds of U.S. high school students and half of college students, facilitating over 1 billion learning interactions weekly.By integrating cognitive science with advanced machine learning techniques, we tailor and enhance the learning experience for students, professionals, and lifelong learners alike. Our enthusiasm lies in the potential to support more learners through diverse methodologies and tools.Let's Shape the Future of Learning TogetherJoin us in designing and implementing AI-driven learning solutions that scale globally, unlocking the potential of learners everywhere.About the Team:The Personalization & Recommendations team is dedicated to crafting customized learning experiences that enable millions of learners to study more effectively. We are seeking Machine Learning Engineers across Senior to Staff levels (including Sr. Staff) to join our innovative team.You will leverage your expertise in modern recommender systems—encompassing deep learning-based retrieval, embeddings, and multi-stage ranking—to enhance Quizlet's personalization capabilities. Collaborating at the nexus of machine learning, product development, and scalable systems, you will ensure our recommendations are efficient, ethical, and aligned with learner outcomes, privacy, and fairness.This is an onsite position, requiring team members to work in the office at least three days a week: Monday, Wednesday, and Thursday, as well as additional days as needed. We believe this in-office collaboration fosters efficiency, enhances teamwork, and promotes both personal and organizational growth.

The Atlas Search Systems group at MongoDB builds and maintains the infrastructure behind Atlas Search, a multi-cloud service that enables advanced full text and vector search queries using the MongoDB Query Language. This team focuses on keeping the system scalable, observable, and reliable for both customers and engineers. As adoption of Atlas Search grows, the group delivers core infrastructure to support expanding demand. Role overview This Software Engineer III position centers on developing and maintaining the infrastructure that powers Atlas Search. The work involves supporting both customer-facing and internal engineering needs for search functionality across multiple cloud platforms. What you will do Develop and maintain infrastructure for Atlas Search Deploy and monitor search systems across AWS, Google Cloud, and Microsoft Azure Create scalable solutions to handle large datasets and demanding workloads Support search features for both customers and internal teams About Atlas Search Atlas Search enables advanced full text and vector searches on data in MongoDB Atlas, spanning AWS, Google Cloud, and Microsoft Azure. With the MongoDB Query Language, users can focus on relevance and data retrieval without managing underlying search complexity. Location and work model This role is based in San Francisco, CA. Both in-office and hybrid work arrangements are supported.

About KreaKrea is at the forefront of developing advanced AI creative tools designed to enhance and empower human creativity. Our mission is to create intuitive and controllable AI solutions that allow creatives to express themselves across various formats including text, images, video, sound, and 3D.About the PositionWe are seeking a talented Machine Learning Engineer to lead the design and implementation of Krea’s personalization and recommendation systems from the ground up. You will take full ownership of how we comprehend user preferences, curate engaging content, and customize generative models to reflect individual aesthetics.This role sits at the exciting intersection of recommendation systems, representation learning, and generative imaging and video technologies.Your ResponsibilitiesLead the architecture and development of Krea’s personalization and recommendation framework, overseeing the technical direction from inception to deployment.Craft algorithms that effectively model user preferences and tastes, enabling our systems to adapt to individual styles and aesthetics.Develop high-quality, curated feeds that strike a balance between exploration, personalization, and aesthetic coherence.Collaborate closely with our model and research teams to co-create personalization mechanisms that shape how our generative models learn, adapt, and express creative styles.Contribute to research in personalized image generation, with a focus on style, taste, and subjective quality.Work in tandem with product, design, and research teams to define what “good personalization” means in a creative context.Take systems from initial research and prototyping stages through to production, ongoing iteration, and enhancement.

At Philo, we are a dedicated team of technology and product enthusiasts committed to reshaping the television landscape. We blend cutting-edge technology with the captivating medium of television to create the ultimate viewing experience. Our mission is to enhance streaming capabilities through innovative cloud delivery and sophisticated machine learning algorithms that personalize content discovery. As a Senior Machine Learning Engineer specializing in Recommendation Systems, you will be at the forefront of our content personalization initiatives, significantly enhancing user engagement and satisfaction. Your expertise will help ensure that every time users open the Philo app, they find something they want to watch. In this pivotal role, you will spearhead the development of advanced algorithms and large-scale systems that drive Philo's recommendation engine. Collaborating closely with data science, product, infrastructure, and backend engineering teams, you will tackle complex machine learning challenges and develop innovative, data-driven solutions that enhance content discovery and foster user retention.

At Lyft, our mission is to connect and serve communities by fostering an inclusive work environment where every team member feels valued and empowered to excel.With over half a billion rides completed, Lyft is tackling complex challenges in a fast-evolving landscape filled with extensive data and innovative solutions across various domains including Marketplace, Mapping, Fraud Prevention, Trust & Safety, and Growth. As we redefine transportation with our next-generation platform, we utilize advanced machine learning techniques that process peta-byte scale data to create low-cost, ultra-immersive transportation solutions that enhance lives. Our dedicated Machine Learning Engineers are at the forefront of these efforts, crafting solutions that significantly influence our core business operations.If you are a critical thinker with a robust background in machine learning workflows, passionate about leveraging data to solve business challenges, and thrive in a dynamic, collaborative setting, we want to hear from you!As a Senior Machine Learning Engineer, you will design and implement algorithms that drive the core services and influential products of our platform. The range of challenges we tackle is remarkably diverse, spanning transportation, economics, forecasting, mapping, safety, personalization, and adaptive control. We are eager to welcome motivated experts in these fields who are excited about developing reliable ML systems and solving problems through data in an innovative and fast-paced environment.

Product Engineer — SearchJoin Firecrawl as a Product Engineer and take charge of our developer-focused search experience. You will bridge the gap between groundbreaking research and practical application, transforming retrieval and ranking advancements into a product that developers find indispensable. This role is unique as it combines deep technical expertise with a passion for user experience. In our dynamic team of 26, you will play a pivotal role in delivering impactful product enhancements.Salary Range: $180,000–$290,000/year (This range applies to U.S. employees, with adjustments made for international employees based on local cost of living. More information on our compensation structure can be found here.)Equity Range: Up to 0.15%Location: San Francisco, CA or Remote (Americas, UTC-3 to UTC-10)Job Type: Full-TimeExperience: 3+ years of experience in applied reinforcement learning, machine learning engineering, or model training with production systems.Visa: US Citizenship/Visa required for San Francisco; N/A for Remote positions.About FirecrawlAt Firecrawl, we simplify data extraction from the web, equipping developers to seamlessly convert URLs into LLM-ready markdown or structured data through a single API call. In just a year, we have achieved 8 figures in annual recurring revenue and garnered over 100k GitHub stars by providing the fastest solutions for developers seeking LLM-ready data.We are a nimble, technically adept team focused on building essential infrastructure that superintelligence will leverage to gather web data. Our approach is to ship quickly and deliver profound results.What You'll DoImplement noticeable search enhancements. Transform research-driven retrieval and ranking improvements into tangible product modifications that resonate with developers. You understand that a 200ms latency decrease translates to a superior product. You will manage the entire process: from API modifications to documentation updates and illustrative examples.Oversee the search API comprehensively. You will be accountable for the integration and usability of Firecrawl's search endpoint. This encompasses response formats, latency, error handling, pagination, and filtering — every interaction a developer experiences. Your keen attention ensures that every developer's touchpoint is optimized for performance and usability.

Are you passionate about making a difference? Join our team! At GoFundMe, we're proud to be the leading platform for community support, enabling individuals and nonprofits to connect and uplift each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising efforts, helping countless people in times of need. We are currently seeking a talented Senior Search Engineer to spearhead the design and implementation of our next generation of search and retrieval systems, incorporating cutting-edge machine learning technologies and generative AI applications. You will work alongside a dedicated team to create impactful solutions that enhance user experiences and drive business success. Please note that candidates for this role must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week.

About Our TeamAt OpenAI, we are dedicated to extending the reach of our advanced AI technology through innovative products like ChatGPT and the OpenAI API. Our mission is to learn from deployment and share the benefits of AI, while prioritizing safety and responsible usage over unchecked growth.Role OverviewWe are on the lookout for a seasoned Research Engineer to spearhead efforts in retrieval and search across our API and ChatGPT platforms. As the AI landscape continues to evolve, retrieval and search capabilities have emerged as pivotal for our models. You will play a crucial role in developing search-based product experiences that will impact millions of users globally.In this position, your responsibilities will include:Collaborating closely with our research team to advance retrieval and search algorithms across various domains such as document search, enterprise search, knowledge retrieval, and web-scale search.Implementing these search methodologies into production for both the API and ChatGPT, enhancing user experiences for millions.Investigating cutting-edge research topics in retrieval and search to inform our product strategy for the future.Working together with researchers, engineers, product managers, and designers to introduce new features and innovations.Ideal Candidate ProfileYou will thrive in this role if you:Possess substantial experience in building and maintaining production-level machine learning systems.Have a background in working with vector databases, search indices, or other data storage solutions tailored for search and retrieval applications.Are proficient in developing and refining internet-scale search systems.Exhibit a strong sense of ownership over projects and are eager to acquire new skills to tackle challenges effectively.Demonstrate the ability to work swiftly in an environment with evolving parameters and competing priorities.

About SunoSuno is a pioneering music technology company dedicated to enhancing creativity through cutting-edge AI. Our flagship product, Suno Studio, represents a revolutionary generative audio workstation, designed for everyone from casual music lovers to professional artists. By fostering a global community, Suno empowers individuals to create, share, and discover music, bringing the joy of musical expression to all.About the RoleWe are seeking a talented and driven Recommendation Data Scientist to join our innovative team. In this pivotal role, you will lead the charge in developing Suno's music discovery and recommendation systems from inception to execution. You will play a critical role in shaping how millions of users connect with music on our platform, balancing technical prowess with creative insight to deliver meaningful and engaging music recommendations.Your work will span the convergence of music, artificial intelligence, and human interaction. Collaborating closely with our engineering, product, and growth teams, you will design and implement systems that help users find their next favorite track or inspire their next musical creation. This position is ideal for individuals who thrive in dynamic environments, enjoy hands-on data exploration, and are passionate about revolutionizing the music discovery experience.Discover more about this exciting role at Suno!

About Faire Faire is an online wholesale marketplace focused on supporting independent retailers. By connecting small businesses with products from around the world, Faire aims to help local shops compete with major players like Walmart and Amazon. The company uses technology, data analytics, and machine learning to provide insights and tools that level the playing field for entrepreneurs everywhere. Faire’s work strengthens local economies by enabling independent businesses to thrive. The team values resourcefulness, intelligence, and a commitment to community. Those who believe in supporting local businesses will find a shared purpose here. Role Overview: Data Science Intern – Personalization & Recommender Systems This internship focuses on building and improving machine learning systems that power search, personalization, and recommendations for Faire’s marketplace. Interns will join a team dedicated to developing algorithms that help local retailers discover relevant products and compete with larger competitors. The team welcomes Master’s and PhD students with a background in recommender systems, personalization, or applied machine learning. Who We’re Looking For Strong interest in recommender systems and personalization Experience applying modern machine learning techniques to ranking or representation learning PhD candidates: a record of publications or submissions to top conferences (such as KDD, RecSys, ICML, NeurIPS, WWW, SIGIR) Master’s candidates: meaningful research projects, internships, or open-source contributions in related areas What You’ll Work On Design and build advanced recommender systems for product ranking and discovery Develop methods for user and item representation learning Collaborate with machine learning engineers to move research solutions into production Tackle personalization challenges that impact millions of recommendations each day Location San Francisco, CA

Crunchyroll serves a global community of anime fans, connecting over 100 million people across more than 200 countries and territories. The platform offers streaming, theatrical releases, games, merchandise, and events, all centered around anime stories and characters. Role overview The Senior Applied Scientist in Recommendation and Personalization leads scientific development for Crunchyroll’s recommendation, ranking, and decisioning systems. The focus is to help fans discover and engage with anime series, movies, manga, merchandise, and games. This position collaborates with Machine Learning Engineers, Product Managers, Engineering, Marketing, and Content teams to enhance Crunchyroll’s personalized experiences. What you will do Lead research and applied science projects in personalization, covering problem definition, data exploration, model development, evaluation, experimentation, and iteration. Define what outstanding personalization looks like for Crunchyroll across app and web interfaces, email campaigns, and integrated systems for video, ecommerce, and manga. Demonstrate the impact of personalization efforts using evidence and metrics. Partner with engineering teams to bring scientific solutions into production. Reporting structure This role reports to the Director of Data Science and Machine Learning within the Center for Data and Insights. Location and schedule This position is based in Los Angeles, California, or San Francisco, CA. Crunchyroll follows a hybrid schedule, with in-office attendance required three days per week: Tuesday, Wednesday, and Thursday.

Join Firecrawl as a Research Engineer focusing on Search and Information Retrieval (IR). In this pivotal role, you will leverage cutting-edge technologies to develop innovative solutions that enhance our clients' search capabilities. You will work closely with cross-functional teams to analyze data, implement algorithms, and contribute to the advancement of our search platforms.

At Exa, we are pioneering the development of a cutting-edge search engine tailored for AI applications. Our mission involves constructing a robust infrastructure capable of crawling the web, training advanced embedding models for indexing, and creating high-performance vector databases using Rust for efficient search capabilities. Additionally, we manage a $5M H200 GPU cluster that powers tens of thousands of machines.As a Developer Relations Engineer, you will be a vital link between Exa and the global developer community. We are crafting an unprecedented API that democratizes access to knowledge, and your role will be instrumental in promoting it through engaging demos, social media interactions, hackathons, and comprehensive API documentation. Are you ready to ignite excitement around the future of search technology?