Director of Machine Learning and Computer Vision

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.

Join us in shaping the future of on-demand logistics for grocery and retail delivery! We are seeking an accomplished Senior Machine Learning Engineer specializing in Computer Vision to drive innovations at DoorDash.About the TeamBecome part of a dynamic team dedicated to developing advanced Computer Vision models that fuel our expanding grocery and retail operations.About the RoleAs an Applied Machine Learning expert, you will be tasked with conceptualizing, designing, and implementing algorithmic enhancements to our computer vision systems. Your work will leverage our extensive data and machine learning infrastructure to refine our product knowledge graph and improve inventory accuracy in real time, ultimately enhancing Dasher efficiency. We seek a candidate who possesses a strong command of production-level machine learning and has a track record in addressing end-user challenges, with a passion for collaboration across multidisciplinary teams.You’re excited about this opportunity because you will…Develop production-grade machine learning solutions addressing consumer vision challenges like entity recognition, object detection, segmentation, and classification.Collaborate with cross-functional leaders to influence a product roadmap centered on machine learning, driving growth in a multi-billion dollar retail delivery ecosystem.Explore and utilize diverse data sources, adopting intuitive models and fostering a culture of flexible experimentation to continuously enhance user experiences.Make a significant impact while enjoying opportunities for personal and professional growth within a team focused on unlocking new market potentials.Innovate and experiment with cutting-edge technologies to solve complex challenges.

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.

OverviewPulse is revolutionizing data infrastructure by addressing the critical challenge of extracting accurate, structured information from complex documents on a large scale. Our innovative approach to document understanding integrates intelligent schema mapping with advanced extraction models, outperforming traditional OCR and parsing methods.As a dynamic and rapidly growing team of engineers based in San Francisco, we empower Fortune 100 companies, Y Combinator startups, public investment firms, and growth-oriented businesses. With the backing of top-tier investors, we are on an exciting growth trajectory.What sets our technology apart is our cutting-edge multi-stage architecture:Layout comprehension with specialized component detection modelsLow-latency OCR models designed for targeted data extractionAdvanced algorithms for determining reading order in complex formatsProprietary table structure recognition and parsing capabilitiesFine-tuned vision-language models for interpreting charts, tables, and figuresIf you are passionate about the convergence of computer vision, natural language processing, and data infrastructure, your contributions at Pulse will directly influence our customers and shape the future of document intelligence.

Position: Machine Learning EngineerAbout Us:At UnitX, we are pioneering the development of cutting-edge physical AI systems designed to automate repetitive visual tasks within manufacturing environments. Our dynamic startup thrives on a diverse team of experts from renowned institutions such as Stanford, MIT, and Google. To date, we have successfully implemented over 1,000 mission-critical AI systems across more than 190 of the world's top manufacturing production lines. Annually, our AI inspection systems oversee the quality of products valued at $15 billion.Join us for a unique opportunity to contribute to groundbreaking computer vision technologies that are transforming global manufacturing efficiency.Your Responsibilities:Design and implement innovative algorithms to analyze raw sensor data for defect detection, focusing on pixel-level precision in high-resolution image and 3D data segmentation.Develop robust software solutions that operate continuously on production lines, executing our algorithms in real-time with decision-making latency under 20ms.Create metrics and tools for comprehensive model performance evaluation, enhancing system visibility and interpretability.Research and explore novel methodologies, pushing the boundaries of AI technology, including Stable Diffusion and SAM, to deliver critical applications in manufacturing.Who You Are:Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline, or equivalent experience showcasing solid mathematical foundations.A minimum of 2 years of experience developing machine learning models focused on computer vision applications in production settings.Deep understanding of Deep Learning theories and practical applications, with proficiency in frameworks such as PyTorch or TensorFlow. Strong Python programming skills for creating efficient, maintainable solutions within extensive codebases.Excellent communication and decision-making abilities, able to articulate experimental rationale and judiciously navigate between exploration and exploitation strategies.Demonstrated resilience and adaptability in complex, uncertain environments.Preferred Qualifications:Experience with large-scale data processing and algorithm optimization.Familiarity with tools for machine learning and data visualization.

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.

At Merge Labs, we are at the forefront of research, dedicated to uniting biological and artificial intelligence to enhance human capability, autonomy, and overall experience. Our innovative approach focuses on developing revolutionary brain-computer interfaces that offer high-bandwidth interaction with the brain, seamlessly integrate advanced AI, and are designed to be safe and accessible for everyone.About the Team:Our Bio team is responsible for designing, constructing, and characterizing the biotechnologies that underpin the next generation of brain-computer interfaces. By integrating molecular engineering, synthetic biology, neuroscience, and cutting-edge physical methods such as ultrasound, we aim to establish less invasive, high-bandwidth connections with neurons. The Bio team is dedicated to developing our core molecular technologies, validating their performance both in vitro and in vivo, and showcasing their advanced capabilities in animal models. We create custom experimental setups and pipelines while collaborating closely with engineers and data scientists to tackle some of the most challenging problems in biotechnology.About the Role:We are seeking a Senior/Principal Machine Learning Biophysicist to spearhead the creation of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks. You will build the molecular modeling foundations of the company from first principles, establishing tools and workflows for simulating, analyzing, and interpreting biomolecular dynamics to elucidate function relationships. Over time, your contributions will help translate these frameworks into predictive models that expedite molecular engineering, guide experimental campaigns, and facilitate the discovery of highly functional molecules.Key Responsibilities:Develop the scientific and engineering framework for protein structure modeling and molecular dynamics, along with integrations into downstream ML frameworks.Collaborate with wet-lab scientists to establish realistic optimization objectives and encode domain-specific priors and constraints.Prototype modeling frameworks utilizing internal and public datasets; benchmark and validate performance.Make complex analyses accessible to non-domain experts through democratization of first-principles analysis.Lead the development of ML frameworks that explicitly incorporate first-principles priors.Stay abreast of the latest advancements in deep learning and molecular dynamics.

Company Overview:At Specter, we are pioneering a software-defined control plane for the physical realm, beginning with safeguarding American enterprises through comprehensive monitoring of their physical assets.Our innovative approach leverages a connected hardware-software ecosystem built on advanced multi-modal wireless mesh sensing technology. This breakthrough enables us to reduce the deployment costs and time for sensors by a factor of 10. Our ultimate goal is to establish a perception engine that provides real-time visibility of a company’s physical environment and facilitates autonomous operations management.Co-founders Xerxes and Philip are dedicated to empowering our partners in the rapidly evolving landscape of physical AI and robotics. Join our dynamic and rapidly expanding team comprised of talents from Anduril, Tesla, Uber, and the U.S. Special Forces.Position Overview:We are seeking a Perception AI Engineer who will be instrumental in transforming sensor data pipelines into actionable insights for our clients.Key Responsibilities:Implement and deploy a range of deep-learning models, including vision, vision-language, and large language models, within our sophisticated distributed perception system.Design and scale a production-ready data collection, labeling, and model retraining platform.Lead the design of a multimodal software user interface.

Orchard Robotics is an innovative Series A startup, supported by leading venture capital firms including Quiet Capital, Shine Capital, and General Catalyst. Our mission is to enhance America’s agricultural efficiency by creating the AI farmer that revolutionizes farming practices. With over $25 million raised, we are dedicated to helping farmers operate with greater profitability and sustainability.Our approach begins with collecting vital data for farmers, providing insights into the growth of their millions of trees across expansive farmland. Using sophisticated camera systems designed in-house, we capture images of billions of fruits on farms. This data is integrated into our proprietary cloud platform, FruitScope, enabling farmers to manage their crops with unparalleled precision.Farmers nationwide rely on our cutting-edge software to analyze their data, make informed decisions, and oversee daily farming operations. Our technology is currently deployed on some of the largest farms in the country.The Role:To analyze the vast array of fruits on farms year-round, our advanced tractor-mounted camera systems must accurately identify their location and the characteristics of the fruits they capture. We are seeking a Senior Machine Learning Engineer to develop innovative, effective, and durable solutions for machine learning and computer vision problems, focusing on training edge machine learning models using extensive real-world image data collected from our camera systems.About the Position:As a foundational member of our engineering team, you’ll enjoy substantial equity compensation.This is a full-time role based in our San Francisco, CA office.We offer flexible work hours to accommodate your schedule.Comprehensive health, vision, and dental insurance is provided, with 100% of the premium covered.Our fast-paced environment may occasionally require extended hours or weekend work.You will collaborate closely with our CEO and a dedicated team in a close-knit atmosphere.We are motivated by the significant impact of our work—every line of code and system we develop reduces food waste and ensures more people are fed.

About SesameAt Sesame, we envision a future where computers possess lifelike qualities, enabling them to see, hear, and interact with us in natural and human-like ways. We are dedicated to creating innovative voice agents that seamlessly integrate into our daily lives. Our talented team comprises founders from Oculus and Ubiquity6, along with seasoned professionals from Meta, Google, and Apple, boasting extensive expertise in both hardware and software development. Join us as we redefine the boundaries of technology and create a world where computers come to life.About the RoleAs a Machine Learning Scientist at Sesame, you will play a pivotal role in advancing our product goals through innovative research. We seek a detail-oriented individual with a strong background in Natural Language Processing (NLP), Speech Recognition, and/or Computer Vision, particularly with a focus on deep learning methodologies. You will stay abreast of the latest research and leverage your creativity and intuition to devise novel solutions tailored to our unique applications.Responsibilities:Contribute to the design and enhancement of machine learning models across diverse modalities.Engage with the complete ML stack, including model architecture, data curation, evaluation metrics, and training and inference infrastructure, while conducting research and experimentation.Identify and adopt promising techniques from existing literature, while innovating new methods as necessary to meet our distinct objectives.Required Qualifications:Demonstrated ability to work independently in environments characterized by high ambiguity.Published research in NLP, Speech Recognition, or Computer Vision focused on large-scale deep learning projects.Proficient understanding of cutting-edge advancements in artificial intelligence.Bachelor’s degree or higher in Computer Science or a related field.Preferred Qualifications:Master’s or PhD degree is preferred.Experience working on product development.Familiarity with startup environments.Sesame is committed to fostering a workplace that values, respects, and empowers everyone. We welcome applicants from diverse backgrounds, embracing all aspects of identity, race, gender, orientation, and ability. We also provide reasonable accommodations for individuals with disabilities — please contact careers@sesame.com for assistance.

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.

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.

Join our innovative team at Aarki Inc. as the Director of Machine Learning! In this pivotal role, you will lead our machine learning initiatives, driving the development of cutting-edge algorithms and models that enhance our data-driven solutions. You will collaborate with cross-functional teams to translate complex data into actionable insights, all while fostering a culture of learning and innovation.

Aquabyte is on the lookout for a Machine Learning Engineer to join our innovative team dedicated to transforming fish farming practices globally. In this role, you will be pivotal in developing and deploying advanced algorithms designed for fish farms worldwide. Your primary focus will be on the software and machine learning model development for our on-camera and cloud-based software solutions.Our MissionAt Aquabyte, we are driven by a bold mission to enhance the sustainability and efficiency of aquaculture. By optimizing fish farming practices, we aim to support the production of healthy, low-carbon protein while addressing one of the major contributors to climate change. As the fastest growing food production sector globally, aquaculture presents an unprecedented opportunity to leverage technology in preserving marine ecosystems for future generations.We pride ourselves on being a diverse and mission-oriented team eager to collaborate with like-minded individuals. If our vision resonates with you, we encourage you to reach out.Our ProductWe currently focus on empowering salmon farmers with the tools needed to understand their fish populations and make environmentally conscious decisions. Utilizing custom underwater cameras, computer vision, and machine learning, we can accurately quantify fish weights, assess health status, and devise optimal feeding strategies in real time. Our solution encompasses on-site hardware for image capture, cloud data processing pipelines, and a user-friendly web application. This multifaceted approach presents numerous exciting challenges across our technology stack.Above all, Aquabyte is committed to customer satisfaction. Our product development is guided by the needs of fish farmers, ensuring that delighting our customers remains at the forefront of our efforts. We are dedicated to building a collaborative, global team.The RoleAs a Machine Learning Engineer, you will be tasked with creating machine learning models and pipelines, as well as managing databases and data infrastructure. Your responsibilities will include conducting comprehensive data analyses and constructing statistical models to infer biological processes. Working within the AI team, you will develop image and video inference pipelines to evaluate the weight, health, and behavior of individual fish and entire populations. Collaboration with experienced engineers from both industry and academia will be a key aspect of your role.

Join our innovative team at Glacier! This hybrid role requires in-office presence on Tuesdays and Thursdays.At Glacier, we're on a mission to address one of the most pressing challenges of our time: waste management. Did you know that over half of recyclables in the U.S. end up in landfills? We're committed to changing that narrative. Our efforts not only aim to enhance recycling practices, but also to mitigate carbon emissions, conserve energy, and protect our natural resources.We develop advanced sorting robots tailored to efficiently separate recyclables, combined with AI-driven business analytics that empower recyclers to optimize their operations and promote a more circular economy.Our technology has garnered the trust of major clients, including Colgate, Amazon, and municipal recycling facilities, as we turn recycling data into actionable insights. Our innovations have been featured in TIME's Best Inventions, a TIME documentary, and various leading publications like TechCrunch, Fortune, and CBS.The Role:We are seeking a dynamic and experienced technical leader to spearhead Glacier's Computer Vision strategy and manage our engineering team. This is a hands-on leadership position overseeing a distributed team across the U.S. and globally.Computer Vision is integral to our product offerings and significantly influences our company's achievements. This position will report directly to the co-founder and CTO.What You’ll Do:Drive the vision, strategy, and execution of Glacier's Computer Vision roadmap.Lead and cultivate our distributed Computer Vision engineering team through hiring, onboarding, and performance management.

About the Role:The Machine Learning team at Tubi is at the forefront of transforming user experiences through cutting-edge technology. With the industry's largest inventory and a vast audience of millions, we are dedicated to solving complex challenges in recommendations, search, content understanding, and ad optimization, shaping the future of streaming.We are on the lookout for a Director of Machine Learning Engineering and Infrastructure to spearhead a hybrid team that merges advanced ML engineering with exceptional infrastructure design. In this pivotal role, you will define the strategic vision and implementation for scaling our machine learning capabilities, ensuring our distributed systems and infrastructure can foster innovation on a grand scale. You will blend technical expertise with outstanding leadership to guide teams in delivering robust ML systems and high-performance distributed services.

About Pinterest:At Pinterest, we strive to empower individuals worldwide to explore creative ideas, envision new possibilities, and curate lasting memories. Our mission is to inspire everyone to craft a life they love, and this journey begins with the talented people behind our platform.Join us in a career that fuels innovation for millions, transforms passion into growth, celebrates diverse experiences, and embraces the flexibility to perform at your best. Crafting a career you cherish? It’s entirely possible.We are seeking a visionary Director of Machine Learning to spearhead the ML function within our Growth organization. This leader will outline the long-term ML vision, strategy, and operational framework that drives user engagement and growth across Pinterest's platforms.You will manage several teams of machine learning engineers and managers, addressing essential Growth challenges such as activation, retention, notifications, SEO, paid acquisition, and lifecycle personalization. Your role will blend deep technical expertise with strong leadership and product intuition to implement industry-leading practices in recommendation systems, ranking algorithms, experimentation, deep learning, and generative AI. As the Director of Machine Learning for Growth, you will oversee the health, performance, and evolution of our ML ecosystems, ensuring our technology meets the business and product requirements vital for making Pinterest an engaging and inspiring platform for everyone. This entails:Collaborating with senior Product, Data Science, and Engineering leaders to define and execute a multi-year strategy for Pinterest’s Growth systems.Establishing a cohesive ML architecture and roadmap for Growth that leverages shared platforms while enabling rapid iteration.Building, nurturing, and retaining a world-class team of machine learning leaders and engineers.Serving as a prominent thought partner and advocate for Growth ML among executives and cross-functional stakeholders.You will also cultivate a healthy and inclusive community where ML practitioners across Growth can learn best practices, collaborate efficiently, and align with our technical direction.

The Enterprise Machine Learning team at Scale AI is at the forefront of the AI revolution, collaborating closely with clients to pinpoint significant business challenges and develop advanced AI systems. By leveraging Scale’s proprietary research, data, and infrastructure, we unlock domain expertise through exceptional data quality and expert feedback. As the Director of Enterprise Machine Learning, you will spearhead a talented team of research scientists and engineers, charting the research roadmap and overseeing the journey from initial prototyping to full deployment. You will excel in a dynamic environment, adeptly balancing technical leadership with people management, visionary planning, and effective delivery. This position is perfect for a leader who thrives amidst uncertainty, possesses a deep understanding of the cutting-edge capabilities and limitations of generative AI, and is driven by the desire to transform research into robust, production-ready systems.

The Bot CompanyAt The Bot Company, we are on a mission to create a helpful robot for every home.Based in San Francisco, our small yet dynamic team comprises engineers, designers, and operators with backgrounds from industry leaders such as Tesla, Cruise, OpenAI, Google, and Pixar. Our collective experience has enabled us to deliver exceptional products to hundreds of millions of users, and we understand what it takes to create outstanding user experiences.We maintain a lean team structure to facilitate quick decision-making and eliminate the bureaucratic hurdles often present in larger organizations. Every team member is a contributor who enjoys significant autonomy, radical ownership, and direct accountability. Our culture is designed for rapid iteration and swift execution, allowing us to work across various technical stacks.Candidate ProfileWe seek candidates who possess remarkable sharpness and the capability to thrive in fast-paced, high-pressure environments. Throughout our hiring process, we look for candidates who can demonstrate:Exceptional Cognitive Abilities: You think quickly, learn rapidly, and can navigate unfamiliar domains with ease.Engineering Curiosity: You have an innate desire to understand how systems function, even beyond your area of expertise.Performance-Driven Mindset: You are agile, comfortable with ambiguity, and excel under challenging conditions.Role Overview: 3D Vision Researcher / EngineerIn this role, you will develop the 3D perception systems that enable our robots to comprehend and navigate real-world environments. We are looking for someone who can create cutting-edge 3D vision pipelines from the ground up, integrating classical geometry with modern deep learning techniques to translate research concepts into production-ready systems.

About NomadicMLAt NomadicML, we are harnessing the power of artificial intelligence to revolutionize the way machines understand and interpret motion. Our vision-language models (VLMs) transform vast amounts of video data into actionable insights, paving the way for advancements in self-driving technology, robotics, and industrial automation.Founded by Mustafa Bal and Varun Krishnan, both alumni of Harvard University, our team is comprised of experts who have previously developed critical AI systems at industry giants like Snowflake, Lyft, Microsoft, Amazon, and IBM Research. With a commitment to innovation, we are dedicated to mining insights from the 5 trillion miles driven by Americans annually, uncovering the next frontier in machine intelligence.About the RoleWe are looking for a passionate Machine Learning Engineer who excels at the intersection of foundational model research and production engineering. In this role, you will play a key part in optimizing how machines learn from motion, focusing on training and refining large-scale Vision-Language Models that analyze complex real-world video data.You will be responsible for creating multi-modal architectures that accurately perceive, localize, and describe motion events across millions of video frames, transforming these innovations into robust APIs and SDKs for enterprise clients.Working closely with the founders, your contributions will include:Training and assessing VLMs tailored for motion comprehension within autonomous driving and robotics datasets.Designing and scaling GPU-accelerated pipelines for training, fine-tuning, and inference on diverse data types (video, language, and sensor metadata).Developing evaluation frameworks that benchmark spatiotemporal reasoning and localization precision.