Computer Vision Research Engineer at Bobyard | San Francisco

Position OverviewAt Bobyard, we tackle complex computer vision challenges to streamline takeoff processes for contractors, saving them extensive hours on each project. Our innovative systems deliver results that surpass human capabilities.As a Computer Vision Research Engineer, you will enjoy significant autonomy in the design, execution, and refinement of groundbreaking products. In our fast-paced startup environment, you will become a foremost expert in the solutions you develop. We seek exceptional engineers who not only possess a visionary outlook for the product but can also focus deeply to produce outstanding code.

Position OverviewAt Bobyard, we're pioneering solutions that tackle intricate computer vision challenges, enabling contractors to automate takeoffs and save countless hours on each project. Our mission revolves around developing advanced model systems that achieve performance levels at or exceeding human accuracy.With a high-performing team in place, we are tackling some of the toughest challenges in the field of applied computer vision. We seek a visionary leader to set the technical roadmap, ensure the team prioritizes high-impact projects, and enhance both execution speed and quality.This role is crucial for team growth — maintaining rigorous hiring standards and nurturing top-tier engineers. The expectation for this position aligns with the technical excellence of our strongest individual contributors.

Role overview Bobyard is hiring a Sales Engineer in San Francisco to lead the technical side of the sales process. This position shapes how Bobyard connects with customers in a range of trade sectors. The Sales Engineer manages discovery calls, builds and delivers tailored demos, runs proof of value projects, and helps secure technical sign-off for deals. This role combines strategic thinking with hands-on execution. It calls for building custom demonstrations, translating complex workflows into clear business value, and working closely with Account Executives to close important deals. Success in this position means blending technical skill with a strong sales sense to improve pipeline quality, speed up deal cycles, and build trust with customers across the trades Bobyard serves. What you will do Create and deliver custom demos for complex, high-value contracts in Bobyard’s trade markets. Support Account Executives on strategic deals, offering technical expertise, guiding buying committees, and helping advance deals with decision-makers. Design and run Proof of Value projects, set clear success criteria, and present results that demonstrate technical and business impact. Act as the main technical resource throughout the sales cycle, addressing objections and showing contractors and trade businesses how Bobyard fits into their workflows. Gather and share product feedback from the field, collaborating with Product and Engineering teams to improve the platform and integrations. Develop the sales playbook by creating reusable demo assets, trade-specific resources, and documentation to help the sales team scale. Requirements 2-4 years in a customer-facing technical role such as Sales Engineering, Solutions Architecture, or Technical Consulting. Ability to quickly learn new products and adapt across different trade sectors. Comfortable leading customer conversations, whiteboarding, demoing, and handling objections in real time. Strong sales focus, always working toward closing deals and growing revenue. Comfortable in environments where things move quickly and processes are still forming. Collaborative mindset, with experience working alongside Account Executives, Customer Success, Product, and Engineering teams. Experience at an early-stage startup is a strong plus.

We are seeking a highly skilled and innovative Director of Machine Learning and Computer Vision to join our dynamic team at bobyard. In this pivotal role, you will lead the development and deployment of cutting-edge ML and CV technologies that drive our product strategy and enhance user experiences. Your expertise will be essential in guiding a talented team of engineers and data scientists to create impactful solutions.

Position OverviewBobyard is experiencing rapid growth and we are in need of talented engineers to help us build new features while scaling our existing infrastructure to meet increasing demand.In this role, you'll enjoy significant autonomy in the design, execution, and iteration of our products. As a startup, we prioritize speed and innovation. You will become a leading expert on the products you develop. We seek exceptional engineers who possess a strong vision for our products and the capability to produce outstanding code.

About Bobyard Bobyard brings advanced technology to the construction sector, aiming to make cost estimation much faster and more accurate. Our automated takeoff platform uses computer vision and natural language processing to streamline workflows that have long relied on manual processes. Backed by investors including 8VC, Primary, and Pear, Bobyard is building new software for the built environment. The team is growing, and we're looking for people ready to help shape the next phase. Role Overview: Product Manager This full-time, in-person position is based in San Francisco. The Product Manager will work closely with the CEO to set and execute the product roadmap as we expand our customer base. The role centers on building products that truly fit customer needs and keeping Bobyard ahead in a competitive market. Key Responsibilities Understand customer workflows in depth Work with the founder to define product vision and roadmap Develop, iterate, and validate new features and products Coordinate with engineering and UI/UX teams to bring ideas to life Collaborate with marketing and sales to communicate product direction What We Look For Self-starter who takes a hands-on approach Quick to learn and creative in solving problems Strong work ethic and genuine drive; this role is demanding Highly organized, able to juggle varied customer needs Compensation and Benefits Salary target: $120k - $150k, plus equity options Work with a focused, motivated team Chance to help build a company with real impact Bobyard is several years ahead of the competition in model sophistication and serves a large, underserved market. For those ready to help maintain this lead and improve customer outcomes, we'd like to connect.

Company OverviewBobyard is at the forefront of transforming the construction industry, one of the largest sectors in the U.S. that has lagged in technological advancement. Each year, companies allocate over $60B to teams dedicated to generating cost estimates for bids, often relying on labor-intensive methods of manually measuring and counting materials from blueprints.Our innovative solution leverages computer vision and natural language processing (NLP) to automate takeoffs, enabling cost estimation processes to be executed 10 times faster and with significantly fewer errors. As a dynamic startup, we are backed by prominent investors including Primary, Pear, and 8VC, and we are committed to developing cutting-edge software for the construction sector.Position OverviewAs we continue to scale rapidly, we are seeking a dedicated Account Executive to ensure the momentum of our growth trajectory. You will focus on mid-market accounts, taking full ownership of the sales funnel—from building pipelines and conducting product demos to closing deals. With a current qualified to close rate of 57%, the potential for success is immense, especially as we set ambitious goals for 2026.

Bobyard builds software for the construction industry, using computer vision and natural language processing to automate manual takeoffs. The platform helps teams produce cost estimates much faster and with fewer errors. Backed by investors such as Primary, Pear, and 8VC, Bobyard aims to modernize how the built environment operates. Role overview The Mid-Market Account Executive joins a sales team that currently converts over half of qualified leads. As revenue grows quickly, this role will help keep up the pace and support Bobyard’s goals for 2026. The position focuses on managing the full sales cycle for mid-market accounts: building pipeline, delivering product demos, and closing new business. Resources are in place to help reach targets. What you will do Develop and manage a pipeline of mid-market prospects Conduct outreach, follow up with leads, and run product demonstrations Close new business and help drive revenue growth Travel, attend industry events, and make cold calls as needed to win deals Requirements Strong outbound sales skills, including consistent outreach and follow-up Dedication and resilience, comfortable with hard work and focused on results Initiative to travel, participate in industry events, and pursue new business opportunities Compensation and benefits Competitive salary, commission plan, and equity options Collaborate with a motivated, supportive team Opportunity to contribute to a company shaping the future of construction technology Location and commitment This is a full-time, on-site role based in San Francisco. Candidates eager to drive growth and make an impact in construction technology are encouraged to apply.

Aquabyte is excited to invite applications for the position of Computer Vision Engineer, where you will play a pivotal role in crafting and implementing innovative algorithms for fish farms globally. Your primary responsibilities will include the development of software and machine learning models for our on-camera and cloud-based systems.Our MissionAt Aquabyte, we are on a transformative journey to enhance the sustainability and efficiency of aquaculture. Our goal is ambitious yet rewarding: to optimize fish farming, contributing to environmentally friendly and healthy protein production, while addressing one of the significant factors driving climate change. With aquaculture being the fastest-growing food production sector, we are at the forefront of leveraging technology to sustainably harvest marine resources for future generations.We take pride in our diverse, mission-driven team and are eager to collaborate with passionate individuals who share our vision. If our mission resonates with you, we encourage you to connect with us.Our ProductWe currently support salmon farmers in understanding their fish populations and making sustainable decisions. Utilizing custom underwater cameras, computer vision, and machine learning, we can accurately measure fish weights, assess health conditions, and create optimal feeding plans in real-time. Our solutions encompass three levels: on-site hardware for image capture, cloud infrastructure for data processing, and a user-friendly web application. This multifaceted approach presents numerous challenges and opportunities for innovation across all technical layers.Primarily, Aquabyte is dedicated to our customers. Our product development is driven by the needs of fish farmers, and we prioritize customer satisfaction in every aspect of our operations. We aim to build a collaborative global team.The RoleAs a Computer Vision Engineer, you will spearhead the development of software pipelines for our camera systems, enhancing their intelligence and efficiency. This position is part of our AI team, where you will create image and video inference pipelines to evaluate the weight, health, and behavior of both individual fish and entire populations. You will collaborate closely with experienced engineers from both industry and academia.

Job Category: AI & RoboticsAbout Avala AIAvala AI is a pioneering AI Data Infrastructure company at the forefront of real-world AI and its integration with the labor economy. We excel in delivering high-quality data labeling, comprehensive dataset management, and insightful data visualization, providing 4D labeling solutions tailored for autonomous vehicles, humanoid robots, and drone applications. Our mission is to empower AI-driven sectors—ranging from AV companies to robotics innovators and drone enterprises—by equipping them with the essential data infrastructure to propel the next generation of intelligent systems while offering dignified digital employment opportunities globally.The RoleIn your capacity as a 3D Computer Vision Engineer at Avala AI, you will be responsible for designing and implementing cutting-edge solutions for both offline and online 3D reconstruction and scene understanding, ensuring robustness, accuracy, and performance. You will collaborate on a world-class spatial computing platform deployed extensively in autonomous vehicles, advanced robotic systems, and drone technologies. Your contributions will advance the capabilities of real-world AI while utilizing the latest advancements in deep learning and 3D computer vision techniques.What You’ll DoSpatial Computing & Reconstruction: Innovate through the application of NeRFs, Diffusion Models, Gaussian Splatting, Multiview Stereo, TSDF Fusion, Structure from Motion, and SLAM methodologies.Mission-Critical Perception: Develop robust 3D perception systems and scene understanding frameworks that enhance safety and operational performance across various robotics and AV applications.4D Data Labeling & Visualization: Work collaboratively with cross-functional teams to enhance and expand Avala’s 4D labeling platform for automobiles, humanoid robots, and drones.Software Engineering Best Practices: Apply strong coding, testing, and deployment methodologies to ensure rapid, safe, and efficient development of innovative solutions.Boundary-Pushing Innovation: Actively explore new methodologies and technologies that advance the field of 3D vision, neural rendering, and large-scale data processing.

Join Our Pioneering TeamAt Sieve, we are trailblazers in the realm of AI research, specifically dedicated to harnessing the power of video data. Our cutting-edge infrastructure processes exabyte-scale video, utilizing innovative video understanding methodologies, and integrating diverse data sources to create groundbreaking datasets that redefine video modeling. With video accounting for a staggering 80% of global internet traffic, it stands as the cornerstone of digital creativity, communication, gaming, AR/VR, and robotics. Our mission is to eliminate the primary barrier to the growth of these technologies: the scarcity of high-quality training data.Having collaborated with leading AI laboratories, we achieved $XXM in revenue last quarter alone with a compact team of just 15 talented individuals. Our successful Series A funding round last year, backed by prestigious firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant, underscores our potential for exponential growth.The Role You’ll PlayAs an Applied Research Engineer at Sieve, you will be instrumental in constructing high-performance building blocks and expansive pipelines to achieve high-precision video comprehension at internet scale. Your role will often involve tackling ambiguous research challenges and devising ingenious solutions. You will engage with domains including computer vision, audio processing, and text processing.The ideal candidate will possess a strong command of models and APIs, leveraging innovative pre/post-processing techniques, parallelism, pipelining, inference optimization, and occasional fine-tuning to maximize performance.

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.

Join fuku as an Applied Research Engineer in San Francisco, CA, where you will be at the forefront of AI video data research. As a crucial member of our team, your mission will involve building robust, high-performance frameworks and extensive pipelines to process and decode video data with exceptional accuracy. You will tackle complex research challenges, refine machine learning models and APIs, and deliver comprehensive solutions across computer vision, audio, and text processing domains. This role is designed for engineers who thrive in both research and production environments and are eager to spearhead the evolution of video understanding from research to deployment.

About AlljoinedAlljoined is dedicated to revolutionizing the interaction between humans and technology by developing non-invasive methods to decode thoughts from the brain. Utilizing cutting-edge deep learning techniques on extensive EEG datasets gathered using cost-effective hardware, we initially decode images, text, and video, with aspirations to eventually interpret internal thoughts. Our capabilities are at the forefront of technology, and we are fully vertically integrated. Our mission is to create a comprehensive consumer interface that will radically enhance our daily interactions at home and in the workplace.We are in the process of expanding our elite team of researchers, aiming to create the next interface that will not only improve individual lives but also contribute positively to society.About the RoleIn the role of Computational Neuroscientist, you will be instrumental in propelling our research initiatives forward. Through the application of advanced computational and neuroimaging methodologies, you will design and refine stimulus paradigms in collaboration with our research team, conducting in-depth analyses of collected data to extract insights across various paradigms and architectures. You will collaborate with a dedicated team of research coordinators who will facilitate large-scale data collection, alongside engineers and researchers to devise experiments aimed at optimizing next-generation neural decoding techniques.About YouPhD or postdoctoral experience in neuroscience or a related discipline.Substantial experience in the design and execution of neuroscience studies, with a focus on functional brain imaging data analysis (EEG, fMRI).Strong proficiency in Python, particularly with libraries such as MNE, Numpy, PsychoPy, and machine learning frameworks including PyTorch, SciPy, and Scikit-Learn.Extensive background in utilizing advanced computational, statistical, and modeling techniques to analyze and interpret neuroimaging data.A solid understanding of psychophysics and human behavior.Proven ability to conduct independent research while collaborating effectively in an interdisciplinary environment.

About MercorMercor sits at the forefront of labor markets and artificial intelligence research, collaborating with premier AI laboratories and enterprises to harness the human intelligence crucial for AI evolution.Our expansive talent network empowers the training of cutting-edge AI models, akin to how educators impart knowledge to students—sharing insights, experiences, and contexts that transcend mere code. Currently, our network comprises over 30,000 experts, generating collective earnings exceeding $2 million daily.At Mercor, we are pioneering a unique category of work where expertise fuels AI progress. Realizing this vision necessitates a bold, fast-paced, and deeply dedicated team. You will collaborate with researchers, operators, and AI firms that are at the vanguard of transforming systems that redefine society.As a profitable Series C company, Mercor is valued at $10 billion and maintains an in-office presence five days a week at our new headquarters in San Francisco.About the RoleIn your capacity as a Research Engineer at Mercor, you will operate at the intersection of engineering and applied AI research. You will play a pivotal role in post-training and Reinforcement Learning from Human Feedback (RLVR), synthetic data generation, and large-scale evaluation workflows essential for advancing frontier language models.Your contributions will help train large language models to adeptly utilize tools, exhibit agentic behavior, and engage in real-world reasoning within production environments. You will be instrumental in shaping rewards, conducting post-training experiments, and constructing scalable systems to enhance model performance. Your responsibilities will also include designing and evaluating datasets, creating scalable data augmentation pipelines, and developing rubrics and evaluators that expand the learning potential of LLMs.

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.

HUD builds infrastructure for generating and evaluating reinforcement learning (RL) training data for advanced AI agents. The team is also developing a marketplace to connect leading labs with high-quality training data. HUD's platform serves frontier labs, Fortune 500 companies, and startups. The company is backed by $15M in funding from top venture capital firms and is part of Y Combinator's W25 cohort. Role overview HUD is seeking Research Engineers in San Francisco to help strengthen quality assurance for training data produced by partner organizations. This position centers on building systems that maintain and improve data quality as demand increases. What you will do Set and uphold quality standards for training datasets. Develop tools and workflows for auditing datasets from suppliers, including sampling methods, validation pipelines (using rules and models), and feedback systems. Assess and refine human-in-the-loop review processes to support quality assurance. Collaborate with data vendors to resolve quality issues, share insights, and encourage better data generation practices. Integrate QA findings into internal tools and the data vendor portal to reduce anomalies, inconsistencies, and edge cases. Requirements Strong skills in Python, Docker, and Linux environments. Experience working with large datasets. Ability to learn quickly and adapt in technical contexts, such as programming competitions. Background in early-stage tech startups and ability to work independently. Familiarity with modern AI tools and large language models (LLMs). Clear communication skills for collaborating remotely across time zones. Preferred qualifications Understanding of common issues in training data. Background in building data validation pipelines or human-in-the-loop review systems. Strong attention to detail, with the ability to identify subtle data inconsistencies or edge cases. Experience designing metrics, experiments, and QA processes, not just executing them.

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.

Team Overview The infrastructure team at OpenAI manages the core systems that support AI workloads worldwide. As OpenAI expands its compute capabilities across company-owned data centers, cloud environments, and strategic partnerships, the need for careful planning and resource management grows. Reliable and cost-effective compute operations depend on this foundation. The Compute Optimization group operates at the intersection of engineering, operations, finance, and infrastructure strategy. This team develops models, decision tools, and planning systems to improve how compute resources are scheduled, deployed, and scaled as global needs shift. Role Overview OpenAI is hiring a Compute Optimization Researcher/Engineer to help maximize the use of compute capacity across the organization. This role addresses complex optimization challenges related to capacity allocation, demand forecasting, cluster planning, workload placement, and infrastructure utilization. Work includes building mathematical models, developing software systems, and collaborating with other teams to improve planning and use of compute resources. Areas of focus span GPU clusters, networking, storage, and data center infrastructure. Candidates with experience in operations research, optimization, applied mathematics, infrastructure systems, or large-scale capacity planning will be well-suited for this position. Location and Work Model This position is based in San Francisco, CA. OpenAI follows a hybrid schedule with three days per week in the office. Relocation assistance is offered.

About BoonBoon is an innovative AI platform tailored for the construction industry, launched in 2023 in the vibrant San Francisco Bay Area by a team of visionary product and engineering leaders from renowned companies such as Samsara, Apple, Google, and DoorDash. Supported by prominent Silicon Valley venture capitalists, Boon is dedicated to transforming the construction landscape.Our AI agents seamlessly integrate into existing workflows, enhancing processes from preconstruction estimating to bid management. By automating tedious tasks, we empower teams to focus on strategic decision-making, ultimately leading to increased efficiency, higher bid success rates, and reduced costs. With Boon, construction firms can scale their operations, enhance revenue, and achieve sustainable growth.About the RoleAs the Technical Lead, Computer Vision Engineer at Boon, you will spearhead the technical vision for our AI and computer vision initiatives. Joining a talented team of AI engineers, you will tackle complex challenges specific to the construction industry, focusing on deriving structured and accurate data from construction plans, blueprints, and floor plans. This role demands advanced computer vision expertise, encompassing not just text extraction but also intricate geometric reasoning, such as measuring line lengths and understanding spatial relationships.This is a hands-on leadership position where you will enhance our ML infrastructure, develop and assess models, and collaborate closely with clients and construction consultants to identify key issues that need resolution. Working alongside fellow AI engineers and technical leads, you will establish architectural strategies and address the most demanding technical challenges.Key Responsibilities:Direct the technical strategy for AI and computer vision at Boon, collaborating with a skilled team of AI engineers.Design and refine ML infrastructure, data pipelines, and evaluation frameworks.Create and implement computer vision models (CNNs, vision transformers) to extract nuanced information from construction documents.Evaluate the scalability of current solutions and devise innovative approaches when necessary.Engage with clients and construction industry experts to clarify requirements and prioritize technical goals.Collaborate with other AI engineers and technical leads to brainstorm solutions and resolve complex technical issues.Oversee the complete lifecycle of ML systems, from prototyping to production deployment.