Senior Data Engineer at Kiddom | San Francisco

Join Our Innovative Team at KiddomAt Kiddom, we are revolutionizing education through our cutting-edge platform that champions student equity and growth. We seamlessly integrate high-quality instructional materials with engaging digital learning experiences. Our robust curriculum management tools empower schools and districts to effectively manage their curriculum, leading to personalized learning experiences that cater to the unique needs and aspirations of local communities. Our high-quality curriculum is enriched with insightful data analytics for teachers and leaders, fostering continuous improvement in instructional strategies, school programming, and professional development.Your Role and ResponsibilitiesAs a vital member of Kiddom’s AI team, you will play a critical role in developing the backbone of our search, recommendation, and insights systems. Your contributions will directly enhance the experience of teachers and students by providing timely insights, personalized content, and intelligent assistance tailored to their needs.

Join Kiddom as a Senior Backend Software EngineerAt Kiddom, we are revolutionizing the education landscape by providing a platform that champions equity and growth for all students. Our innovative approach integrates top-tier instructional materials with engaging digital learning tools, allowing schools and districts to take charge of their curriculum. With our exceptional curriculum management capabilities, we deliver personalized learning experiences that cater to the specific needs and aspirations of local communities. Our robust data insights empower educators and leaders to enhance instructional strategies, improve school programs, and foster professional development.We are seeking a dedicated Senior Backend Software Engineer to join our dynamic team, where you will play a crucial role in creating the next generation of scalable backend services. Your responsibilities will include the design, development, and maintenance of high-performance systems that underpin our applications.The ideal candidate will possess significant experience in backend technologies and system architecture, coupled with a genuine passion for addressing complex challenges faced by our users. Mentoring fellow engineers and sharing your expertise will be key aspects of this role. A strong affinity for education, an understanding of teachers' needs, exceptional product insight, and a commitment to Kiddom's mission and vision are essential.

At Kiddom, we are revolutionizing the educational landscape by leveraging advanced technology to enhance learning experiences. Our innovative platform integrates top-tier curriculum with state-of-the-art AI and modern SaaS infrastructure, empowering schools to provide truly personalized education at scale. By offering educators real-time insights and versatile tools, we enable them to prioritize what truly matters—driving student growth and ensuring equity.We are not merely creating educational technology; we are challenging an industry that has been slow to embrace innovation. As a Senior Product Manager, you will play a pivotal role at Kiddom, collaborating closely with engineers, designers, AI researchers, and educators to develop transformative experiences that redefine what is achievable in the classroom.If you excel in navigating uncertainty, thrive in a culture that values ownership, and are passionate about the intersection of human impact and cutting-edge technology, this is your opportunity to drive meaningful change.

About KiddomKiddom is an innovative educational platform dedicated to fostering student equity and growth by seamlessly integrating high-quality instructional materials with engaging digital learning. Our comprehensive curriculum management tools empower schools and districts to take charge of their curriculum, creating customized learning experiences that align with the distinct needs and aspirations of local communities. By providing robust insights for teachers and leaders, Kiddom drives continuous improvement in instructional decisions, school programming, and professional development.We are on a mission to revolutionize education through the power of technology. Our goal is to create a holistic platform that supports educators and learners alike with state-of-the-art tools and data-driven insights. We are seeking a skilled Staff Software Engineer to join our team and spearhead the architecture and development of scalable, frontend-focused solutions.As a Lead Software Engineer - Frontend at Kiddom, you will be instrumental in designing and delivering comprehensive product features with a strong focus on frontend architecture. Your role will involve scoping, building, and optimizing product features and addressing complex challenges at scale. You will work collaboratively with other senior engineers, select the most suitable tools and technologies, and implement robust, production-grade software solutions.Note: Please complete the application questions in full. Failure to do so will result in automatic disqualification.

About KiddomKiddom is an innovative educational platform committed to fostering student equity and growth by seamlessly integrating high-quality instructional materials with engaging digital learning experiences. Our unparalleled curriculum management tools empower schools and districts to take charge of their curriculum, resulting in customized learning experiences that cater to the distinct needs of local communities. With robust data insights for teachers and leaders, Kiddom drives ongoing improvements in instructional decisions, school and district programming, and professional development.Join us in our mission to transform K-12 education through the integration of cutting-edge AI and meaningful learning outcomes. As a Machine Learning Researcher, you will be instrumental in expanding the possibilities of AI in the educational landscape. Your contributions will help personalize teaching experiences for educators and enhance student outcomes. This role merges technical expertise with the opportunity to create a lasting impact on educators and students across the nation.

About KiddomKiddom is an innovative educational platform dedicated to enhancing student equity and growth by integrating high-quality instructional materials with engaging digital learning experiences. Our exceptional curriculum management capabilities enable schools and districts to take charge of their educational programs, leading to personalized learning outcomes that address the specific needs and aspirations of local communities. Additionally, Kiddom's comprehensive curriculum is enriched with valuable insights for teachers and educational leaders, facilitating continuous improvements in instructional strategies, school programming, and professional development.About the Role: In the role of Senior Engineering Manager, you will report directly to the VP of Engineering while overseeing multiple teams of skilled engineers. This position merges technical leadership with strategic influence, granting you the opportunity to refine Kiddom's systems and procedures to support our scaling initiatives. You will engage with cutting-edge technologies, including Python, Golang, Node.js, JavaScript/TypeScript, Kubernetes, and AWS, tackling complex technical challenges that have a meaningful impact on educators, administrators, and students alike. Your capacity to inspire and drive transformation throughout the engineering organization will be crucial as we embrace new technologies and AI advancements to enhance our efficiency and that of our users.This role can be based in New York City or San Francisco, requiring 2-3 days in the office each week.

About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.

About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.

About KiddomKiddom is an innovative educational platform dedicated to fostering student equity and growth by seamlessly integrating high-quality instructional materials with engaging digital learning experiences. Our unique curriculum management capabilities empower schools and districts to customize their curriculum, ensuring learning experiences are tailored to meet the diverse needs and aspirations of local communities. With in-depth teacher and leader data insights, Kiddom drives the ongoing enhancement of instructional strategies, school and district programs, and professional development for educators.We are on the lookout for a Senior Full Stack Engineer to join our dynamic team – one of three elite groups focused on developing transformative features for our end-users. This hands-on technical position allows you to bring ambitious visions to life, working on user-facing projects that utilize cutting-edge technologies, including AI and language learning models (LLMs).As part of a small, agile team of 3-4 engineers, you will be responsible for creating features that significantly impact educators and students alike. This role goes beyond typical full-stack responsibilities – it provides a unique chance to tackle complex technical challenges while witnessing the tangible differences your work makes in the field of education.

About KiddomKiddom is an innovative educational platform committed to fostering student equity and growth by integrating high-quality instructional materials with engaging digital learning experiences. Our platform offers exceptional curriculum management capabilities, empowering schools and districts to take charge of their educational content. This results in tailored learning experiences that cater to the unique needs and aspirations of local communities. With detailed insights into teacher and leader performance, Kiddom drives continuous improvement in instructional strategies, school/district programs, and professional development.At Kiddom, we are passionate about revolutionizing education through state-of-the-art technology. Our mission is to create a comprehensive platform that equips educators and learners with advanced tools and data-driven insights. We are seeking a skilled Lead Software Engineer specializing in Frontend development to join our team and spearhead the design and implementation of scalable, frontend-centric solutions.As the Lead Software Engineer - Frontend, you will be pivotal in architecting and delivering full-stack product features with a focus on frontend architecture. Your responsibilities will include defining, building, and optimizing product features and addressing complex challenges at scale. You will collaborate with senior engineers to select optimal tools and technologies while implementing robust, production-ready software solutions.

About Mariana MineralsMariana Minerals is a pioneering software-driven, vertically integrated minerals company dedicated to supplying the essential minerals that fuel modern energy, artificial intelligence, and defense technologies. We are transforming the minerals supply chain by leveraging extensive industry knowledge alongside cutting-edge software, automation, and data-centric decision-making.The RoleAs we build the critical minerals supply chain from the ground up, we seek a highly skilled Senior Machine Learning Engineer to help drive our autonomous operations.Unlike traditional software companies, we are a mining company that develops our own software solutions. Mariana designs, builds, commissions, and operates our own mines and refineries, where we create proprietary chemical processes. Currently, we are producing battery-grade lithium salts from real oil and gas wastewater at our facilities. Our first commercial-scale lithium production facility, Lithium One, is set to commence initial production in the first half of 2027.In your role as a Senior Machine Learning Engineer, you will spearhead the design and implementation of machine learning systems that directly optimize the operations of our mineral refining facilities and guide significant investment and operational decisions. Your contributions will be visible in tangible metrics such as recovery rates, energy consumption, reagent usage, and equipment uptime.The TechThis position involves some of the most compelling applied AI work available today.Our internal platform, PlantOS, utilizes the same reinforcement learning frameworks that power self-driving cars and humanoid robots, adapted for the autonomous and short-interval control of mineral refining circuits. Our models dynamically adjust operating parameters in real time, optimizing for lithium recovery, reagent consumption, energy efficiency, and equipment uptime simultaneously.The working environment is complex and ever-changing; variations in wastewater compositions, ore grades, and aging equipment require the system to adapt continuously. The ultimate objective is to achieve fully autonomous refining operations—when you implement your solutions here, you will witness the physics of the process evolve.What You’ll DoCollaborate closely with Mariana’s process chemistry and engineering teams to develop innovative, data-driven models of core chemical unit operations.Train and deploy reinforcement learning models to optimize operational processes.

Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.

Join Our Mission to Empower Communities! At GoFundMe, we are the leading global platform dedicated to helping people support each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising, uniting individuals and nonprofits in a safe and engaging environment. We are seeking a passionate and experienced Senior Manager, Machine Learning Engineering to join our Applied Science team. In this pivotal role, you will spearhead a dynamic team tasked with creating impactful machine learning solutions that enhance user experiences and drive business growth. Your responsibilities will include designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI methodologies, such as generative AI, personalized recommendations, search systems, and classification techniques. This position requires exemplary leadership capabilities to ensure both strategic vision and tactical execution, backed by your extensive knowledge of machine learning, AI, and secure software practices. This role is based in the vibrant San Francisco Bay Area, with an expectation of being in the office three times a week.

At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

At Lyft, we are driven by our mission to connect and serve our communities. We strive to foster a workplace where every team member feels valued and has the opportunity to excel. With over half a billion rides and counting, Lyft is tackling complex challenges on a grand scale, utilizing cutting-edge AI and Machine Learning technologies to enhance customer experiences. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in constructing AI Platform components that empower essential AI applications across Lyft. Mastery in Generative AI and platform development is crucial for this position. You will contribute to our platform that facilitates real-time, online, and offline AI and ML model execution, development, and iteration. Collaborating with a team of talented Machine Learning and Software Engineers, you will work on intricate problems and define solutions that make a direct impact on our systems throughout the organization. If you are enthusiastic about building an AI Platform at scale with applications spanning every aspect of our company, we want to hear from you. If you are a creative thinker with a strong background in AI and machine learning systems and are passionate about leveraging data to solve business challenges in a dynamic, innovative, and collaborative environment, we invite you to apply.

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...