Machine Learning Engineer at recruyt | San Francisco

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.

Join Reducto as a Machine Learning Evaluation Engineer where you will play a critical role in assessing and enhancing machine learning models. You will collaborate closely with data scientists and engineers to ensure our systems are efficient and accurate, bringing innovative solutions to challenging problems in the machine learning space.

About ReductoAt Reducto, we empower AI teams to seamlessly ingest real-world enterprise data with unparalleled accuracy. Our innovative solutions unlock vast amounts of enterprise data—ranging from financial statements to health records—previously trapped in unstructured formats like PDFs and spreadsheets. By training vision models to interpret documents as humans do, we enable the development of products, training of models, and automation of processes at scale.Having experienced exponential growth, with a remarkable 7x year-over-year revenue increase, we collaborate with hundreds of companies, including leading AI teams such as Harvey, Vanta, and Scale, as well as major enterprises like FAANG and top trading firms.Backed by over $100 million from top-tier investors including A16z, Benchmark, and First Round Capital, we are in search of a talented Product Engineer to join our dynamic team.The RoleAs a Product Engineer, you will be instrumental in developing features that empower our customers to design, build, test, and evaluate their essential document workflows. Our mission is to democratize access to document data for everyone, regardless of their technical background. You will contribute to creating a comprehensive product suite that spans from document storage to the seamless export of parsed data for various applications. Your work will encompass everything from interactive document viewers to data extraction workflows, crafting user experiences that simplify complex AI functionalities.

About UsAt Reducto, we empower AI teams to accurately process real-world enterprise data. Our cutting-edge solutions unlock vast amounts of unstructured data—ranging from financial documents to health records—by training vision models to interpret these files intuitively, similar to human comprehension. This capability allows for scalable product development, model training, and process automation.With an impressive 7x year-over-year revenue growth, we collaborate with hundreds of leading organizations, including top AI teams and major enterprises. Our success is backed by over $100 million in funding from renowned investors such as A16z, Benchmark, and First Round Capital. We are seeking a dedicated Solutions Engineer to leverage our momentum and enhance our go-to-market strategies.The OpportunityJoin Reducto's solutions team as a key player in our customer engagements, facilitating sales and implementations with your technical prowess. You will serve as a vital link between our go-to-market and engineering teams, addressing the intricate needs of our enterprise clients. Your contributions will help shape the future growth of our organization.

Join the Reducto Team as a Support EngineerAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled accuracy. Our innovative technology unlocks vast amounts of unstructured data, from financial documents to health records, enabling vision models to interpret these resources just like a human would. This capability allows businesses to develop products, train models, and automate processes efficiently.We are experiencing exponential growth, having increased our revenue by 7x year-over-year, and proudly collaborate with a diverse range of clients, from leading AI organizations like Harvey and Vanta to major enterprises including FAANG companies and top trading firms.Backed by over $100 million from prestigious investors such as A16z, Benchmark, and First Round Capital, we are expanding our team and looking for a dedicated Support Engineer.

About ReductoAt Reducto, we empower AI teams to seamlessly integrate real-world enterprise data with unparalleled precision.Much of the vital enterprise data—from financial reports to healthcare records—remains trapped in unstructured formats like PDFs and spreadsheets. Our innovative vision models enable these documents to be read just as a human would, facilitating product development, model training, and process automation on a grand scale.Having achieved remarkable growth, with a 7x year-on-year revenue increase, we proudly serve hundreds of clients, including top AI teams such as Harvey, Vanta, Scale, and major enterprises like FAANG and leading trading firms.With over $100 million raised from premier investors including A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Lead Product Engineer.The RoleAs our Lead Product Engineer, you will be at the forefront of defining and developing features and platforms that drive our customers' essential business workflows. Collaborating closely with our founders and leadership, your mission will be to make document data accessible to everyone—from developers to non-technical users. You will create a comprehensive suite of products that allows clients to extract the data they need from their documents in the formats they require. Your responsibilities will include developing interactive document editors and intuitive interfaces for managing large datasets. In addition to shaping the product roadmap, you will help foster a culture focused on building outstanding products.

At Reducto, we empower AI teams by enabling them to extract and utilize real-world enterprise data with unparalleled precision. Many valuable enterprise data types, including financial statements and health records, are often trapped in unstructured formats like PDFs and spreadsheets. Our advanced vision models mimic human reading capabilities, allowing teams to innovate, train AI models, and automate workflows seamlessly.Having experienced remarkable growth—an impressive 7x revenue increase year-over-year—Reducto has forged partnerships with hundreds of organizations, including top AI teams such as Harvey, Vanta, and Scale, alongside esteemed enterprise clients from FAANG and premier trading firms.We are proud to have secured over $100 million in funding from leading investors like a16z, Benchmark, and First Round Capital.The RoleAs the Executive Assistant to the CEO, you will be instrumental in ensuring the CEO remains focused and operates at maximum efficiency during this phase of rapid expansion. You will oversee the CEO’s email and calendar with considerable autonomy while dedicating approximately 10 hours per week to the effective operation of our San Francisco office. This position is built on trust, where your judgment and discretion will significantly influence how the CEO allocates their most precious resource: time.Key Responsibilities:Manage the CEO's inbox and calendar comprehensively, handling emails, drafting responses, scheduling meetings, and prioritizing tasks effectively.Proactively optimize and protect the CEO's schedule, resolving conflicts, creating time buffers, and ensuring dedicated focus periods.Organize logistics for both internal and external meetings, including preparing agendas, pre-reads, and following up on action items.Coordinate travel arrangements as necessary, including flights, accommodations, and detailed itineraries.Devote around 10 hours each week to managing office operations, overseeing supplies, vendor relations, facilities coordination, and fostering an excellent in-office experience for the team.Engage in various ad hoc projects and administrative tasks to ensure the leadership team can function smoothly and efficiently.Ideal Candidate:You maintain an exceptional standard for quality, accuracy, and discretion, treating the CEO's communications and schedule with the utmost care.You are a forward-thinking individual who anticipates needs, identifies potential issues early, and consistently follows through with minimal prompting.You possess over 4 years of experience supporting a CEO or C-suite executive, preferably in a fast-paced technology environment.

About ReductoReducto is revolutionizing the way AI teams access real-world enterprise data with unparalleled precision.Most enterprise data—from financial reports to health documentation—exists in unstructured formats like PDFs and spreadsheets. Our innovative vision models are trained to interpret these documents as a human would, enabling the development of products, training of models, and automation of processes at scale.We have experienced remarkable growth, with our revenue increasing 7x year-over-year, and currently collaborate with hundreds of leading AI teams (including Harvey, Vanta, Scale) as well as major enterprises (FAANG, top trading firms).Having secured over $100 million in funding from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a founding Business Development Representative.The OpportunityAs an integral member of our Go-To-Market (GTM) team, you will spearhead our outbound strategy and be pivotal in generating leads during this exciting phase of growth. This role offers a clear advancement path to an Account Executive position as our GTM organization evolves.We would love to meet you if the following resonates:You’re Resourceful: You demonstrate tenacity and creativity in connecting with potential customers. You don’t merely adhere to playbooks; you create them. We seek someone who identifies opportunities that others overlook and is willing to conduct innovative experiments to validate new outreach channels.You Understand Technical Buyers: With 2+ years of experience as a BDR or in a growth-oriented role, preferably selling technical products to technical buyers, you are adept at navigating this landscape.You Communicate Effectively: You have a knack for speaking the language of technical buyers and can quickly discern their needs. Your written and verbal communication skills are exceptional.You Are Organized and Process-Driven: Your organizational skills are outstanding, as you adhere to strict processes to maintain CRM integrity and track the experiments you conduct and their outcomes.You Are Familiar with Sales Development Best Practices: This isn’t your first experience in sales; you have explored various tools, know the messaging best practices, and understand how to scale an outbound initiative without cluttering your inbox.Your Core Responsibilities Will Include:80% of Your TimeDesigning and implementing innovative outbound campaigns to cultivate qualified leads.Establishing and optimizing new lead generation channels through content and marketing strategies.

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 ReductoAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision. Our innovative solutions unlock the potential of unstructured data, transforming it from complex formats like PDFs and spreadsheets into actionable insights. By training advanced vision models, we enable the development of robust products, facilitate model training, and automate processes at scale.Our rapid growth—7x year-over-year revenue increase—has positioned us as a trusted partner for numerous companies, from leading AI innovators like Harvey and Vanta to industry giants such as FAANG and top trading firms. Having secured over $100 million in funding from prestigious investors including A16z, Benchmark, and First Round Capital, we are excited to expand our team with a Business Operations Associate to refine and enhance our operational functions.The OpportunityWe value ambition and talent above all else. If you believe you can contribute to our mission, we encourage you to apply even if you don't see a perfectly aligned role!

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.

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.

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...

About the RoleJoin Onyx, an esteemed open-source project that has captivated hundreds of thousands of users. With over 10,000 stars and a vibrant community of over 3,000 members on platforms like Slack and Discord, your contributions could impact millions in the future. Your ImpactAs a Machine Learning Engineer at Onyx, you will play a pivotal role in enhancing our knowledge layer on top of Large Language Models (LLMs). You will tackle complex challenges such as multi-hop question answering, needle-in-haystack retrieval, and advanced Retrieval-Augmented Generation (RAG) techniques. Key ResponsibilitiesDesign and implement knowledge graphs based on LLMs, exploring advanced RAG methods and cutting-edge information retrieval algorithms.Enhance user experience through innovative features like feedback learning, personalized search, and Subject Matter Expert (SME) suggestions.Develop a semantic understanding of organizational priorities to improve Onyx's answering capabilities.Manage projects from initial conception through validation to production deployment.Collaborate closely with our Founders and Head of AI to shape product direction and contribute to our AI/ML strategy. Success Criteria3+ years of experience in AI/ML engineering, focusing on real-world applications.In-depth expertise with PyTorch/TensorFlow, natural language processing (NLP) models, and standard machine learning algorithms.Stay current with advancements in open-source and proprietary LLMs, RAG, and agent frameworks.Strong software engineering skills, capable of building backend features using web frameworks, ORMs, and relational databases.Excellent communication skills, with the ability to collaborate effectively across teams.⭐ Bonus SkillsFamiliarity with full-stack technologies, including TypeScript, React, Next.js, Python, and PostgreSQL.Passion for writing technical blogs to position Onyx as a leader in the field.

About ApiphanyApiphany is an innovative AI company dedicated to advancing physical product development. We empower global leaders in industries such as automotive, aerospace, medtech, and energy to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexity for the world's premier manufacturers.Our models are meticulously crafted to address the unique challenges of engineering and manufacturing. They are designed to comprehend principles of physics, design specifications, and program constraints. Our team is a select group of experts from prestigious institutions like Stanford, Berkeley, MIT, UW, and CMU, alongside veterans from GM, Ford, and Genesis Therapeutics. We are committed to redefining hard-tech and constructing a category-defining enterprise together.About the RoleAs a Machine Learning Engineer at Apiphany, you will architect and deploy cutting-edge machine learning models to address some of the most intricate challenges within the physical domain. You will create systems capable of reasoning with complex engineering data, developing AI that grasps physics, design limitations, and real-world performance trade-offs.This role is tailored for innovators eager to expand the horizons of AI applications in the tangible world.

Join Our Team as a Machine Learning Engineer for AssessmentsAt Speak, we're on a mission to transform the language learning experience.Learning a new language has the power to enrich lives, facilitating connections with diverse cultures, career opportunities, and communities. With two billion people worldwide engaged in language studies, the traditional one-on-one tutoring approach remains challenging to scale and has seen little innovation over the years. Speak is revolutionizing this space by offering an AI-powered, human-like tutoring experience that prioritizes conversation. Our platform allows learners to practice speaking, receive instant feedback, and progress through expertly crafted lessons, ensuring a seamless journey from beginner to confident speaker in multiple languages.Since our inception in South Korea in 2019, Speak has rapidly ascended to become the leading language learning app, serving learners across various markets with 15+ languages. Backed by over $150 million in venture funding from prominent investors such as OpenAI, Accel, and Khosla Ventures, our distributed team spans San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.About the RoleWe are seeking a talented Machine Learning Engineer for Assessments to spearhead the development of top-tier assessment systems across our diverse product lines, including Speak for Business and B2C offerings. You will collaborate closely with our Assessment Design Lead, along with teams in Machine Learning, Product, and Engineering, to translate assessment frameworks and rubrics into robust, scalable scoring and feedback systems.This role will encompass the implementation, deployment, and continual enhancement of our assessment algorithms and ML systems. While immediate focus will be on refining and expanding current assessments, the work will also contribute to a foundational capability that can be leveraged across our platform.Your ResponsibilitiesLead the development of assessment ML systems end-to-endDesign, deploy, and maintain scoring models and pipelines (feature extraction, model training, inference, feedback generation).Oversee monitoring, regression tests, and iterative improvements to ensure accuracy standards are met.Establish and implement evaluation frameworksCreate validation and evaluation structures for assessments, incorporating metrics, test sets, and both offline and online analyses.Convert assessment needs into quantifiable acceptance criteria and safeguards.

About ReductoAt Reducto, we empower AI teams to harness real-world enterprise data with unmatched precision. Our innovative solutions enable the extraction of valuable insights from traditionally unstructured formats such as PDFs and spreadsheets, allowing organizations to automate processes and develop cutting-edge products efficiently.In just a short period, we have achieved remarkable growth, increasing our revenue by 7x year over year. Our client portfolio includes a diverse range of companies, from top-tier AI teams like Harvey, Vanta, and Scale to leading enterprises within the FAANG group and the top three trading firms.With over $100 million raised from esteemed investors including A16z, Benchmark, and First Round Capital, we are now looking for a Head of Finance who will be instrumental in building our finance function and driving our next phase of expansion.The RoleWe are seeking a dynamic Head of Finance to lead and scale our financial operations during a time of rapid growth. This is a unique opportunity to join a well-funded startup that is already making waves in the AI sector as a senior finance leader.You will collaborate closely with the founders to establish a world-class finance department, implement scalable processes and systems, and deliver critical financial insights that will guide strategic decision-making as we scale from mid-seven figures to eight figures and beyond. This role is ideal for an individual who has navigated hypergrowth and is ready to construct a finance organization from the ground up.What You'll DoOversee all financial operations, including accounting, financial planning & analysis (FP&A), and strategic planning.Develop and lead financial planning processes encompassing budgeting, forecasting, and board reporting.Establish strong financial controls, systems, and processes that can scale with business growth.Collaborate with leadership on strategic decisions regarding pricing, unit economics, and resource distribution.Manage relationships with investors, auditors, banks, and other financial stakeholders.Build and scale the finance team in alignment with our growth trajectory.Provide data-driven insights that inform business decisions across the organization.Lead fundraising efforts and mergers & acquisitions when appropriate.What We're Looking ForExperience in an earlier-stage startup (Series A-C) where you built the finance function through hypergrowth to a team of 100-200+ people.Demonstrated ability to develop financial strategies that support rapid growth and scale.Strong analytical skills and a data-driven mindset.Excellent communication and leadership abilities.