Founding Applied AI Engineer at Wilson | San Francisco

ABOUT USAt Applied Compute, we are pioneers in developing Specific Intelligence for enterprises, creating agents that learn continuously from a company’s processes, data, expertise, and objectives. Our mission is to establish a continual learning platform that captures context, memory, and decision traces throughout the organization, enabling specialized agents to perform meaningful tasks.Why Join Us: Our team operates at a unique intersection of innovation. Our product team is responsible for crafting a platform that serves as the backbone for a new generation of digital coworkers. Meanwhile, our research team explores the cutting edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with clients to deploy agents effectively in real-world scenarios. This synergy of robust product development, extensive research, and direct client engagement is essential for us to revolutionize AI in the enterprise landscape.Our Team: Comprising engineers, researchers, and operations experts, our team includes many former founders with extensive experience. We have developed RL infrastructure at OpenAI, data foundations at Scale AI, and other systems at companies like Two Sigma and Watershed. We proudly serve Fortune 50 clients and are supported by top-tier investors including Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals passionate about utilizing cutting-edge research and complex systems to address real-world challenges. Comfort navigating diverse environments, whether it’s a new codebase, unfamiliar customer data architecture, or unexplored problem domains, is essential. Our team values genuine client engagement — listening, empathizing, and understanding the realities of work in their organizations. Those with entrepreneurial spirits, rich project experiences, or proven capabilities to manage tasks end-to-end will excel in our environment.THE POSITIONAs a Software Engineer, you will be instrumental in building the products and interfaces utilized by customers and internal teams. You will manage the entire application platform stack, from collaborative human-AI workspace systems to backend workflows orchestrating sandboxed agent sessions, and the continual learning SDK that provides engineers with oversight of the agent development lifecycle.

About UsAt Applied Compute, we specialize in developing Specific Intelligence tailored for enterprises. Our innovative agents are designed to continuously learn from a company’s processes, data, expertise, and objectives. Currently, there exists a significant disparity between the capabilities of AI models in isolation and their reliable performance within real business environments. These systems often fail to adapt to feedback. We are creating a continual learning layer: a robust platform that captures context, memory, and decision-making traces throughout the enterprise, fostering an environment where specialized agents can effectively perform real work.Why Join Us? We are at a unique crossroads in technology. Our product team is focused on developing the platform that will enable a new generation of digital coworkers. Our research team is at the forefront of advancing post-training and reinforcement learning, leading to groundbreaking product experiences. Our applied research engineers work closely with customers, assisting them in deploying models into production. This blend of strong product focus, deep research, and direct customer engagement is our belief in how to advance AI in the enterprise. We take pride in being product-led, research-enabled, and forward-deployed.Our Culture: Our team is composed of engineers, researchers, and operators, many of whom are former founders. We have developed RL infrastructure at OpenAI, created data foundations at Scale AI, and built systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, as well as companies like DoorDash, Mercor, and Cognition. We are fortunate to have backing from leading investors such as Benchmark, Sequoia, and Lux.Ideal Candidates: We are seeking individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel at ease navigating unfamiliar environments—be it a new codebase, a customer’s data architecture, or an entirely new problem domain. A genuine enjoyment in working with customers—listening, empathizing, and understanding their workflows—is essential. We find that former founders, individuals with numerous side projects, or those who have demonstrated an ability to take ownership of projects from start to finish thrive in our environment.The RoleAs a Product Engineer, you will be instrumental in building the platform that supports a new era of digital coworkers, equipping human knowledge workers with the leverage similar to what coding agents provide developers today. This role is pivotal as you will manage projects from inception to completion within our continual learning platform and work closely with both Applied Research and Research Systems, ultimately helping define a new category of technology. Your work will encompass the entire technology stack, including cloud-hosted sandbox environments and enterprise-grade solutions.

WHO WE AREAt Applied Compute, we are pioneering the development of Specific Intelligence tailored for enterprises. Our innovative agents continuously learn from a company’s processes, data, expertise, and goals, creating a dynamic learning layer that captures context, memory, and decision traces. This empowers specialized agents to tackle real-world tasks effectively.Why We're Excited: We operate at a unique convergence of technology and practical application. Our product team is responsible for developing the platform that drives a new generation of digital coworkers. Simultaneously, our research team explores the cutting-edge of post-training and reinforcement learning to craft exceptional product experiences. Our applied research engineers work closely with clients to deploy agents into production, ensuring that we combine strong product development with deep research and hands-on implementation.Our Team: We are a diverse group of engineers, researchers, and operators, many of whom are former founders. Our backgrounds include building reinforcement learning infrastructure at OpenAI, data foundations at Scale AI, and operational systems at other leading tech companies. We are proud to collaborate with Fortune 50 customers and are supported by top-tier investors like Kleiner Perkins, Benchmark, Sequoia, Lux, and Greenoaks.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. Candidates should be adept at quickly navigating unfamiliar environments—be it a new codebase, a client's data architecture, or a novel problem domain. Our team values empathy and understanding in our customer interactions, so those who enjoy listening, learning, and delivering results tend to excel here.THE ROLEAs a Forward Deployed Engineer, you will engage directly with customers to deploy and integrate our platform within their technical environments. You will be responsible for constructing the infrastructure and tools necessary to transform research into production systems. This role requires ownership of customer engagements from start to finish, including architecting environments, building large-scale data pipelines, creating evaluation frameworks for model training, and ensuring our platform delivers scalable value.

Join Us in Shaping the Future of AI!If you are passionate about our innovative work but don't see a specific role that fits your profile, we encourage you to apply here. At Applied Compute, we prioritize collaborating with exceptional individuals who resonate with our mission.About UsWe specialize in developing Specific Intelligence for enterprises, creating agents that perpetually learn from a company's processes, data, expertise, and objectives. Despite advancements in AI, there remains a significant disparity between the capabilities of AI models in isolation and their performance within real-world business contexts. Our solution is to build a continual learning layer—a platform that captures context, memory, and decision pathways across enterprises, enabling specialized agents to effectively perform tasks.Our ExcitementWe operate at an extraordinary intersection of innovation. Our product team designs the platform that fuels a new generation of digital colleagues, while our research team explores the cutting-edge of post-training and reinforcement learning to enhance product experiences. Our applied research engineers collaborate closely with customers to implement models in production. This unique blend of strong product focus, in-depth research, and hands-on engagement with customers is essential for integrating AI into enterprises. We pride ourselves on being product-led, research-enabled, and forward-deployed.Our TeamOur team comprises engineers, researchers, and operators, many of whom are former founders. We have experience building RL infrastructure at OpenAI, data foundations at Scale AI, and systems at Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are supported by renowned investors like Benchmark, Sequoia, and Lux.Who Thrives HereWe seek individuals eager to apply groundbreaking research and complex systems to tackle real-world challenges. You should be adept at quickly navigating unfamiliar environments, whether it's a new codebase, a customer's data architecture, or an entirely new problem domain. A genuine passion for working with customers—listening, empathizing, and understanding their organizational workflows—is essential. Those with a background as former founders, experience in numerous side projects, or a strong ability to manage tasks end-to-end typically excel in our environment.

About the RoleAt Sigma Computing, we are revolutionizing how enterprises manage their data through an advanced high-performance platform built on modern data architecture. As we expand our engineering team, we seek passionate engineers eager to tackle complex challenges and deliver significant capabilities across our technology stack. Join our talented team committed to making data effortlessly accessible for all users.What You Will Be DoingDevelop and maintain testing infrastructure and tools, including AI-driven test generation, test harnesses, API testing, hermetic test environments, and performance testing frameworks.Enhance the testability of our systems and services.Utilize modern programming languages and tools such as K6, Rust, and Go.Establish and refine best practices to ensure high-quality standards in our systems and services.Engage in test planning and quality strategy reviews.Collaborate with peers and stakeholders through design and code reviews to uphold best practices across available technologies, dedicating a majority of your time to delivering high-quality code.

About the RoleAt Sigma Computing, we are revolutionizing the field of business intelligence by transforming complex data analysis into an easily accessible format through our high-performance platform designed for the modern data ecosystem. Our Compiler Team is integral to this vision, converting user-friendly spreadsheet actions into highly optimized SQL queries, thus facilitating seamless exploratory analytics on cloud data warehouses. As part of the Compiler Team, you'll collaborate with a dedicated group of engineers focused on developing the core systems and abstractions that empower Sigma's intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users.What You Will Be DoingAddress key challenges at the crossroads of data modeling, query compilation, and large-scale interactive analytics, enabling end-users to efficiently query data warehouses without requiring extensive technical expertise.Design, implement, and uphold sophisticated compiler infrastructure and intermediate representations that convert spreadsheet operations into optimized query plans.Utilize advanced optimization techniques to enhance performance and accuracy across diverse query workloads and data architectures.Contribute to both backend (using Rust) and critical frontend frameworks (using TypeScript), refining essential abstractions that facilitate end-to-end workflow optimizations and introduce new features.Diagnose, analyze, and resolve intricate issues, ensuring robustness and maintainability in a rapidly evolving product landscape.Partner with engineers and product stakeholders to review designs and code, championing technical best practices and architectural decisions throughout the team and organization.

Perplexity seeks a Software Engineer in San Francisco to focus on computer monetization. This position involves developing and enhancing software that drives the company’s monetization strategies. Role overview This role centers on building and refining systems that support Perplexity’s revenue efforts. Projects in this area have a direct impact on the company’s growth within the technology sector. What you will do Develop software solutions that contribute to monetization goals Refine and improve existing systems to optimize revenue streams Work on projects that influence Perplexity’s expansion and success Location This position is based in San Francisco.

About the RoleThorin is actively seeking a talented Applied AI Engineer to join our dynamic team in San Francisco. As a pivotal member of our engineering group, you will play a crucial role in laying the groundwork for our user-centric products. This position is perfect for full-stack developers who are enthusiastic about taking ownership of features from inception to deployment, delivering high-quality results swiftly.You will have the opportunity to engage with our technology stack comprehensively, developing everything from intuitive frontend interfaces to robust backend processes.This role emphasizes autonomy and responsibility, allowing you to make a significant impact on our innovative projects.Your ResponsibilitiesDevelop and launch key product features from initial concept through to production readiness.Oversee both frontend and backend development across essential workflows.Establish performance and quality standards for our high-achieving engineering team.Influence product strategy through regular feedback from users and stakeholders.Rapidly innovate within a startup environment, contributing to our zero-to-one initiatives.

About EventualAt Eventual, we believe that every innovative AI application—from foundational models to self-driving vehicles—demands the ability to process vast amounts of images, video, and intricate data. Unfortunately, existing data platforms, such as Databricks and Snowflake, are designed for traditional spreadsheet-like analytics, not for the petabytes of multimodal data that truly drive AI advancements. This limitation leads teams to spend excessive time on fragile infrastructure, diverting them from essential research and product development.Founded in 2022, Eventual's mission is to revolutionize data querying, making it as intuitive as working with tables and robust enough to support production workloads. Our open-source engine, Daft, is specifically engineered for real-world AI systems. It effectively coordinates with external APIs, manages GPU clusters, and addresses failures that conventional engines cannot handle. Major companies like Amazon, Mobileye, Together AI, and CloudKitchens are already leveraging Daft for their critical workloads.Our team is composed of industry veterans from Databricks, AWS, Nvidia, Pinecone, GitHub Copilot, Tesla, and beyond, and we've quadrupled our size within just a year. With Series A and seed funding from notable investors including Felicis, CRV, Microsoft M12, Citi, Essence, Y Combinator, Caffeinated Capital, Array.vc, and prominent angel investors from the co-founders of Databricks and Perplexity, we are actively expanding our team. Join us—Eventual is only at the beginning of its journey.We are currently seeking passionate individuals to join our tight-knit team, who will work together in our San Francisco Mission district office four days a week.

About UsServal is an innovative AI-powered automation platform revolutionizing enterprise operations. Our intelligent agents adeptly comprehend and execute real-world workflows end-to-end, effectively replacing outdated manual processes and rigid systems with dynamic, learning software. Established in early 2024, Serval is already a trusted partner for industry leaders including General Motors, Notion, Perplexity, Vercel, Mercor, LangChain, and Verkada, automating complex operational tasks to boost efficiency.At the heart of Serval lies an advanced agentic AI platform that transforms natural language into production-ready workflows. Our agents not only respond but also reason and take action across various systems, continually enhancing their capabilities through real-time usage. What started as a focus on operational tasks has swiftly expanded into a comprehensive AI automation solution applicable across IT, HR, Finance, Security, Legal, and Engineering.Our mission is to eradicate repetitive manual tasks within enterprises, empowering teams with intelligent automation. In the long run, we aim to establish a universal AI operations layer—a network of agents that integrates seamlessly across business functions, ensuring modern companies run smoothly.Role SummaryAs an Applied AI Engineer at Serval, you will be instrumental in developing the intelligent backbone of our platform—creating foundational AI agents that reason, act, and automate intricate IT workflows. Your role will leverage cutting-edge models and techniques to transform monotonous IT processes into sophisticated automation solutions.Your ResponsibilitiesDesign, develop, and implement AI-driven features from inception to deployment.Enhance and optimize Serval’s applied AI systems, including model selection, fine-tuning, and evaluation pipelines.Integrate AI capabilities into production settings, ensuring they are reliable, scalable, and high-performing.Collaborate with engineering and product teams to create innovative customer experiences.Regularly assess model performance and iterate on improvements based on data and user feedback.Establish industry-leading AI engineering practices and elevate the technical standards across the team.

About ShepherdAt Shepherd, we are a pioneering Managing General Underwriter (MGU) committed to revolutionizing commercial Property & Casualty insurance specifically for high-hazard industries. Our goal is to create a seamless risk management experience for the visionaries and builders who are shaping the physical landscape. We ensure protection from the initial concept stage through construction and into the long-term operational phase.We are developing the fastest and most intelligent commercial risk platform, where automation, data, and underwriting expertise converge to deliver:Accelerated decision-makingEnhanced and precise pricing strategiesImproved risk management outcomesWith Shepherd, safety, efficiency, and quality enhance one another. We are not simply modernizing insurance; we are constructing the risk infrastructure for the next generation of financial services, where technology, underwriting, and strategic partnerships work in unison to support critical industries and the progress they enable.Our InvestorsShepherd has successfully raised over $20M from prestigious investors such as:Spark CapitalCostanoa VenturesY CombinatorSusa VenturesIntact VenturesAnd many othersJoin Our TeamWe are a passionate group of technologists and insurance experts who bridge the gap between innovation and tradition. Discover more about our values and team on our About page.Position SummaryWe are seeking a talented Software Engineer specializing in Applied AI to develop intelligent systems that will enhance our underwriting and pricing mechanisms. This role is positioned at the convergence of product engineering, AI infrastructure, and the practical applications of insurance workflows.You will be responsible for designing and deploying production-level AI systems that significantly impact our operational processes.

RoleAs a Software Engineer specializing in Applied AI at OpenEvidence, you will be instrumental in developing comprehensive systems that harness cutting-edge AI models to create impactful, user-centric products.We seek exceptional builders who thrive outside conventional boundaries. Our engineers engage across various projects and products, taking ownership to maximize their impact.About UsOpenEvidence stands as the leading medical AI platform globally.In just over a year, over 40% of US clinicians have adopted our solution, driven by product-led growth and word-of-mouth recommendations. We are a $12 billion company with a talented 30-person engineering team hailing from prestigious institutions like MIT, Harvard, and Stanford. We believe that transformative products emerge from a small cadre of exceptional, autonomous builders who are empowered to take ownership and drive swift progress. We are expanding our team to capture an extraordinary opportunity to establish a benchmark platform for medical AI.If you are a top-tier engineer or scientist eager to innovate at the forefront of technology and deliver meaningful results that affect millions of lives, we want to connect with you.CultureWe believe that work should reflect a world-class commitment. Innovating from 0 to 1 and scaling from 1 to 1000 is akin to a professional sport, and we set the bar at uncompromising excellence. We understand that groundbreaking technologies are only possible through complete ownership. Significant achievements arise when individuals take decisive action.Who are you?If you are seeking a typical 9-5 job or merely wish to write papers, this position is not for you. If you are ready to dive in, get hands-on, face challenges head-on, and create something impactful that can reach millions and generate significant revenue, this role might be your perfect fit.The ideal candidate is a brilliant builder—intelligent, driven, resourceful, independent, meticulous, motivated, hardworking, and humble. Does that sound rare? It is indeed rare; we currently have only 30 such individuals, and we are eager to find more.LocationAll full-time engineering roles require in-person attendance five days a week in San Francisco or Miami.

Role overview mercor is looking for a Software Engineer, Applied AI to join the team in San Francisco. This role centers on building software products that use artificial intelligence and machine learning to solve practical challenges. The team collaborates to design, develop, and improve solutions that make a real impact. What you will do Create software that uses AI techniques for real-world applications Collaborate with engineers and specialists to design and launch new features Support ongoing projects that push forward the capabilities of artificial intelligence Location This position is based in San Francisco.

Company OverviewAt Echo Neurotechnologies, we are a pioneering startup in the Brain-Computer Interface (BCI) domain, committed to spearheading advancements through state-of-the-art hardware engineering and AI innovations. Our vision is to create transformative technologies that empower individuals living with disabilities, enhancing their autonomy and overall quality of life.Team CultureBecome part of a passionate and dedicated team where your expertise is valued. In our dynamic early-stage environment, you will have the chance to influence key decisions that lead to significant, long-term impacts. We prioritize continuous learning and development, encouraging cross-functional collaboration where your contributions play a crucial role in our success.Job SummaryWe are on the lookout for a skilled Applied AI Scientist to join our innovative team. The successful candidate will harness machine learning (ML) and artificial intelligence (AI) methodologies to analyze extensive datasets of time-series data and their accompanying metadata, crafting sophisticated encoding and decoding models to decode brain activity. This work will not only propel scientific advancements but also translate into impactful solutions for patients with physical disabilities.Key ResponsibilitiesDevelop models for brain data and metadata to derive insights from both existing and future datasets, establishing high-performance inference and translation pipelines.Design and implement cutting-edge transformers and other ML models to translate brain signals into control commands for digital devices.Stay abreast of the latest AI methodologies, rapidly evaluating their applicability and effectiveness through prototypical assessments with company datasets.Collaborate effectively within a small team to refine models, design the data-science platforms, and integrate ML models into our product applications.Ensure that all code, analysis pipelines, and results are versioned, well-documented, and highly interpretable for maximum reproducibility.Assist in creating documentation for our Quality Management System, specifically related to ML implementations that will be incorporated into medical products.

About RiveRive empowers designers, animators, and developers to craft interactive experiences seamlessly. Our platform combines design, animation, and coding in a single environment, ensuring what you create in the editor is precisely what gets deployed in your app, game, or website. Forget mockups, prototypes, or tedious handoffs — experience the real deal.Leading companies like Spotify, Duolingo, LinkedIn, Google, and Fortune 500 automakers utilize our open-source runtimes to create once and deploy everywhere — across websites, applications, games, and vehicles.At Rive, we break down silos, allowing designers and developers to collaborate using the same powerful tools. What you see in the editor is what you get in production.Our Perspective on AIWhile many AI tools aim to democratize artistry, our vision is to empower artists to reach their full potential.At Rive, our AI solutions don’t replace artists; they enhance their capabilities, enabling them to create custom particle systems, cloners, path effects, data connections, physics systems, and even complete games. Our focus is on eliminating barriers that restrict creativity, allowing artists to transform their visions into tangible results.We are developing a professional-grade tool tailored for designers, animators, and developers. Our goal is to elevate creativity, pushing the boundaries of what is possible.If this resonates with you, we encourage you to continue reading.The RoleWe are in search of an Applied AI Engineer to spearhead the integration and advancement of AI features within Rive's editor. Reporting directly to the CEO and CTO, your role will encompass two primary objectives:1. Enhance Rive's AI agent for designers, animators, and developers. We have developed an AI agent that assists in script writing, tool creation (including particle systems, cloners, path effects, and physics systems), data connections, and game development—all within the editor. Your mission is to refine this tool, making it more efficient and intelligent.2. Innovate AI applications within the editor. The AI landscape is rapidly evolving, with new models emerging weekly. In this position, you will be the driving force behind understanding these advancements, assessing their implications for Rive, and prototyping their potential integration into our editor. While not all ideas will come to fruition, you will constantly be exploring possibilities.Why This Role MattersRive operates at the unique intersection of design, animation, and programming. Most AI tools tend to focus on one aspect. We are seeking someone capable of navigating all three areas and identifying how AI can enhance each discipline without compromising craftsmanship.This role is dedicated and full-time; we firmly believe that AI will revolutionize the creation of interactive experiences, and we want a committed individual leading Rive in this transformation.What You'll DoDevelop innovative AI-driven workflows tailored for designers, animators, and developers within the Rive Editor.Refine the AI agent’s capabilities for writing Rive scripts (Luau), building state machines, and more.

Job DescriptionEmbrace the future of competitive advantage with Eragon, where we create bespoke AI systems that are meticulously tailored to understand your unique business landscape.At Eragon, we focus on developing AI models that leverage proprietary data, deployed directly within customer environments and continuously refined through real-world interactions. Our models not only respond but evolve, improving with each user engagement.We utilize a cutting-edge reinforcement learning framework known as RLQF (Reinforcement Learning from Query Feedback) that transforms user interactions into valuable training signals, establishing a cycle of ongoing enhancement that surpasses traditional fine-tuning methods.The RoleAs an Applied Research Engineer, you will be responsible for designing, training, and deploying advanced models that drive real business operations.This position is not about theoretical research; you will engage directly with customer data, constraints, and feedback, crafting solutions that excel in production settings. You will manage the entire lifecycle of the project, from defining the problem and designing data structures to training, evaluating, and iterating based on live performance.What You’ll DoTrain and adapt models: Fine-tune and post-train models on customer-specific data utilizing RLQF among other techniques.Close the loop: Convert real user interactions, corrections, and workflows into actionable training signals.Own end-to-end systems: Oversee the process from data ingestion and curation through to training, evaluation, and deployment.Evaluate in production: Create evaluation frameworks that accurately reflect real-world performance, rather than relying solely on benchmarks.Work with customers: Collaborate closely with users to comprehend their workflows and translate these into model functionalities.Ship and iterate: Focus on the continuous improvement of models based on live feedback and measurable outcomes.What We’re Looking ForExtensive hands-on experience in training, fine-tuning, or post-training machine learning models.Proficiency in handling messy, real-world data as opposed to only clean benchmarks.Familiarity with reinforcement learning techniques, feedback-driven training such as RLHF or RLAIF, and evaluation systems.Adeptness at quickly transitioning from problem identification to data management, model development, and iterative improvement.Strong engineering instincts with a comfort level in managing systems end-to-end.A proactive approach to shipping and enhancing systems, rather than solely focusing on research.

Join DigitalOcean and take your career to new heights while collaborating with a vibrant community of exceptional talent dedicated to simplifying the cloud experience. If you possess a growth mindset, are inspired by bold thinking, and thrive in a dynamic environment where innovation disrupts the status quo, you’ll find a welcoming home here. We cherish success as a team and are committed to learning, enjoying our work, and significantly impacting the aspirations of visionaries and creators worldwide.Scope and Mission:Lead the design and operation of the Gradient AI platform, ensuring a seamless and innovative agent development process characterized by top-tier scalability, performance, and reliability.Influence architectural vision, uphold technical excellence, and foster innovation across backend systems and user-facing interactions.Key Responsibilities:Architect and BuildShape and advance the architecture for our agent development experience, including code integration, evaluations, observability, tools, and cross-agent collaborations.Drive projects aimed at creating an architecture that excels in scalability, reliability, and cost efficiency.Oversee and enhance our benchmarking system to continuously elevate our platform experience.Lead the rollout of new services, taking on a hands-on role as necessary to achieve timely delivery.Technical LeadershipEstablish and maintain technical standards, coding practices, tooling, and infrastructure guidelines across AI/ML engineering teams.Promote best practices for design, testing, deployment, instrumentation, and performance optimization.Mentor senior engineers, cultivating a culture of architectural integrity and operational excellence within the team.Cross-functional CollaborationCollaborate with product managers, stakeholders, and business leaders to translate strategic goals into scalable technical roadmaps.Assist customer-facing teams (e.g., consultants, support, sales engineers) in shaping AI modernization initiatives through agents.Reliability, Performance & ScalingLead operations excellence for our agent development platform, establishing scalable mechanisms and processes throughout the engineering organization.

We are seeking a talented Applied Machine Learning Engineer with a comprehensive understanding of the generative media landscape. You should possess an up-to-date knowledge of emerging methodologies and be capable of identifying gaps in the current market. Your role will involve innovating and developing machine learning models that enhance user experiences, requiring both novel training techniques and the fine-tuning of existing models with fresh datasets.

About Sigma Computing Sigma Computing builds a platform designed to help businesses work smarter with modern data architecture. The company is growing its engineering team in San Francisco and looking for experienced leaders to help shape the next phase of product development. Role Overview This Engineering Manager role focuses on leading and developing a high-performing engineering team. The position involves guiding product strategy, setting priorities, and ensuring consistent progress on project goals. The manager will also support team members' career growth and oversee day-to-day management responsibilities. What You Will Do Work closely with executive leadership, cross-functional partners, and field teams to shape product strategy that aligns with business goals. Support team members in their professional growth through coaching, mentoring, and regular performance feedback. Manage execution and delivery of project roadmaps, ensuring both the business and engineering team are set up for success. Partner with recruiting to attract and hire talented engineers. Promote a culture of ownership and accountability, encouraging high standards within the team. Participate in architectural discussions and help define implementation strategies that turn user needs into efficient technical solutions. Location This position is based in San Francisco, CA.