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.

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.

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.

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 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 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.

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.

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 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.

OpenAI seeks a Director of Compute Finance FP&A based in San Francisco. This position oversees financial planning and analysis for compute operations, shaping how the company invests in and manages its technical infrastructure. Key responsibilities Direct forecasting, budgeting, and performance analysis for compute functions. Collaborate with engineering, operations, and leadership teams to support sound financial decisions. Offer strategic financial guidance as the organization adapts to rapid changes in technology. Align financial resources with OpenAI’s mission to develop AI responsibly and safely. Requirements Extensive finance experience and a strong grasp of technology operations. Ability to work effectively with both technical and non-technical colleagues. Experience leading in complex, evolving settings.

Our MissionAt Roboflow, we are pioneering the future of computer vision AI infrastructure. Our platform empowers enterprises to create, deploy, and maintain vision systems in various sectors including manufacturing, logistics, retail, healthcare, agriculture, and defense.As we continue to grow, our product has proven its efficacy, and enterprise clients are already leveraging it in their operations. We are now seeking to establish a robust leadership layer that can scale our operations while preserving our high standards.Your RoleIn this key leadership position, you will oversee a team of Enterprise Account Executives targeting new client acquisition and rapid expansion within existing accounts. Our strategy emphasizes a Land-and-Expand approach, where initial engagements lead to widespread platform adoption. You will play a crucial role in driving your team to secure significant contracts, often reaching seven-figure deals within the first year of engagement.Your Responsibilities1. Driving ResultsYou will ensure full quota attainment for your team by managing coverage, pipeline quality, and maintaining high conversion standards.Transparency is key; you will be accountable for accurate forecasting and will lead any necessary post-mortem analyses if targets are missed.2. Cultivating a Pipeline CulturePerformance Standard: Each representative should secure a minimum of 2 new meetings and 1 qualified opportunity weekly.Proactive Pipeline Generation: Your team will be responsible for generating leads, enforcing outbound initiatives daily to build a sustainable pipeline.3. Ensuring Deal QualityYou will lead rigorous deal qualification processes with structured weekly reviews, ensuring all deals are thoroughly vetted and any gaps are addressed promptly.Prioritize factual evaluations over optimistic projections, focusing on alignment with use cases and feasibility of implementation.4. Coaching and DevelopmentYou will provide hands-on coaching, guiding your team through live deal scenarios and offering feedback on their performance.Utilizing established methodologies, you will foster a culture of excellence in value-based selling.

Founded in 2015, Shield AI is a pioneering venture-backed deep-tech company dedicated to safeguarding both service members and civilians through advanced intelligent systems. Our innovative product lineup includes the V-BAT and X-BAT aircraft, Hivemind Enterprise, and Hivemind Vision. With a global presence spanning the U.S., Europe, the Middle East, and the Asia-Pacific, our cutting-edge technology actively supports operations worldwide. Learn more about us at www.shield.ai. Connect with Shield AI on LinkedIn, X, Instagram, and YouTube.The Director of End User Computing will oversee the global strategy and operational excellence of enterprise IT services, focusing on Service Desk, Asset Management, Platform Engineering, and Workplace Technology. This pivotal role is tasked with delivering a secure, scalable, and high-performing end-user environment that enhances business productivity while catering to the needs of executive and enterprise stakeholders.Success in this position is defined by a seamless employee technology experience characterized by low friction, high productivity, and robust satisfaction with the systems and tools utilized across the organization.As a senior IT leader, the Director will establish a comprehensive technical vision, operational standards, and service delivery frameworks across endpoint ecosystems, collaboration platforms, identity systems, and workplace technologies. The ideal candidate will possess extensive expertise in enterprise endpoint and identity platforms, demonstrate strong organizational leadership skills, and have a proven track record of building high-performing teams while advancing modernization, automation, and continuous improvement initiatives.

Role Overview Sigma Computing is seeking a Senior Director of Engineering to guide our Core Product Engineering teams in San Francisco. This leader will oversee several groups focused on advancing our core data AI applications. Reporting to the Senior Vice President of Engineering, the Senior Director will shape both technology and team culture. What You Will Do Lead with a product-focused mindset while managing and developing people. Recruit, mentor, and grow team members to support Sigma Computing’s goals, building a culture where urgency and efficiency matter. Work closely with cross-functional partners to improve development practices and processes. Communicate project plans and progress clearly across the organization. What We Look For Deep understanding of building platforms that are simple for less-technical users. Over 10 years of engineering management experience with product teams, including at least 5 years leading organizations. Strong opinions and insight into product development. Curiosity and a drive to learn new technologies quickly. Exceptional technical architecture and engineering skills, adaptable to different technology stacks. Enjoyment in working with top engineers, product managers, and architects. Commitment to excellence, innovation, and pride in your work. Location This position is based in San Francisco, CA.

About Sigma Computing Sigma Computing offers an analytics and business intelligence platform built for the cloud. The platform enables business users to analyze and share insights directly from cloud data warehouses, without requiring SQL expertise. Sigma serves major enterprises and is backed by leading investors. Role Overview: Director of Strategic Partnerships The Director of Strategic Partnerships will lead Sigma's alliance with Snowflake, a central partner in the company’s ecosystem. This senior leader will drive co-selling efforts, expand joint business opportunities, and focus on revenue growth through the partnership. This position is based on-site in San Francisco or New York City and reports to the Senior Director of Partnerships. What You Will Do Shape and manage the overall Snowflake partnership strategy, setting priorities, investment areas, and go-to-market plans. Act as the business lead for the Snowflake relationship, holding responsibility for partner-influenced and attributed pipeline and revenue. Design and roll out scalable co-selling programs that drive demand and deliver measurable revenue. Lead joint business planning with Snowflake, including quarterly reviews and strategic assessments. Align Sigma sales teams with Snowflake account teams through training, playbooks, and collaboration on deals. Serve as the main escalation point for Snowflake-related deal strategies, executive connections, and partner conflict resolution. Develop and maintain trusted relationships across Snowflake’s Partner, Sales, and Field Leadership teams, influencing seller behavior during active deals. Lead cross-functional projects with Sales, Marketing, Enablement, and Operations to put partnership strategies into practice. Work with Marketing to run joint campaigns, events, and programs that support co-selling and pipeline goals. Monitor partnership performance metrics and report on results.

Veracyte, a leading genomic diagnostics company, is seeking an Associate Director of Computational Development to join our innovative team. This role is pivotal in driving our computational strategies and enhancing our bioinformatics capabilities. You will work remotely, contributing to exciting projects that advance our mission of improving patient outcomes through precision medicine.

About UsAt Verge Genomics, we are revolutionizing the drug discovery process by harnessing the power of artificial intelligence and a rich database of human data to tackle the major factors contributing to escalating drug costs—particularly high clinical failure rates. We have established one of the industry's largest collections of multi-modal patient molecular and clinical data, obtained directly from human tissue samples. Our talented team, comprising engineers, neuroscientists, and biologists, has successfully brought two drugs to clinical trials, identified 282 new therapeutic targets, and forged commercial partnerships exceeding $1.6 billion with major pharmaceutical companies such as Eli Lilly and AstraZeneca.Your RoleAs the Principal/Director of Computational Biology, you will report directly to the Head of Product & Engineering. Collaborating closely with Verge’s leadership and technical teams, your key responsibility will be to spearhead the Computational Biology initiatives, delivering valuable insights to our biopharma partners and clients that will inform their research and development strategies.Your Key Achievements in the Next 12 MonthsProduce two comprehensive insights reports (e.g., target characterization) for biopharma partners that will enhance existing partnerships.Innovate new methodologies to support product development, including patient stratification and biomarker discovery.Assess and benchmark the company's foundational models for translational tasks, aiming for superior performance compared to current standards.Collaborate with the Head of Business Development to expand Verge's proprietary datasets.Your ResponsibilitiesDerive biological insights regarding therapeutic candidates and disease biology through the analysis of diverse multi-modal datasets (including transcriptomics, genetics, and clinical data).Translate overarching business goals into actionable scientific work plans.Integrate various datasets to formulate and test hypotheses for target prioritization, mechanism-of-action elucidation, indication expansion, repositioning, biomarker identification, and patient enrichment.Communicate findings effectively to external stakeholders to influence pharmacological R&D decisions.Develop and validate metrics to assess the efficacy of AI models in translational applications.Interpret and analyze outputs generated by AI foundational models.Bridge the gap between biological insights and machine learning objectives.

About AnthropicAt Anthropic, we are dedicated to developing AI systems that are reliable, interpretable, and steerable. We aim to ensure that AI is safe, beneficial, and aligned with the needs of both our users and society. Our expanding team consists of passionate researchers, engineers, policy experts, and business leaders collaborating to create groundbreaking AI solutions.About the RoleWe are seeking a talented Research Engineer with a solid foundation in computer vision, who shares our belief that visual and spatial reasoning are essential for unleashing the full potential of large language models (LLMs). In this collaborative role, you will engage in research, development, and evaluation of cutting-edge Claude models, with a specific emphasis on enhancing visual and spatial capabilities. You will contribute across multiple facets of our research initiatives, employing a full-stack approach that encompasses pretraining, reinforcement learning (RL), and runtime techniques such as agentic harnesses. Additionally, you will work closely with our product team to ensure that your vision enhancements positively influence Claude's performance in real-world applications.

Prime Intellect develops an open superintelligence framework, supporting advanced agentic models and the infrastructure needed to create, train, and deploy them. The company’s mission is to unify global computational resources under a single control plane, integrating a full reinforcement learning (RL) post-training stack. The platform includes secure sandboxes, verifiable evaluations, environments, and an asynchronous RL trainer. Researchers, startups, and enterprises use Prime Intellect to run end-to-end RL at scale, adapting models for practical deployment. Prime Intellect has raised $20 million in funding, including a recent $15 million round. Investors include Founders Fund, Menlo Ventures, and individuals such as Andrej Karpathy, Tri Dao, Dylan Patel, Clem Delangue, and Emad Mostaque. Role overview The Head of Compute leads all aspects of GPU resource management at Prime Intellect from the San Francisco office. This function covers sourcing, economics, contracting, and the strategic direction for compute resources, critical for model training, serving, and sales. Compute is both the company’s core product and the main constraint in the open AI ecosystem. The role exists to keep Prime Intellect and the broader open ecosystem competitive in a landscape where every major lab contends for the same GPUs. What you will do Direct sourcing and procurement of GPU resources for model training and serving Manage compute economics and contracts, balancing long-term commitments with spot market activity Shape Prime Intellect’s strategic position in the global compute market Identify and prioritize key geographic compute hubs and hardware generations for broad access Collaborate with research and engineering teams to design the compute layer for the open model ecosystem Build and maintain commercial relationships with neocloud providers and industry partners Secure early access to new accelerator hardware and develop the operational framework for sustained compute advantage Decide what to train, where, and under which cost structures What success looks like Modeling unit economics for multi-year GPU commitments as the market evolves Turning research needs into actionable compute strategies Negotiating significant contracts for reserved resources Working with neocloud leaders and internal teams to advance open post-training Location This position is based in San Francisco.

About SesameAt Sesame, we envision a world where computers possess lifelike attributes, enabling them to see, hear, and interact with us in a manner that feels natural and intuitive. Our mission focuses on developing innovative voice agents that seamlessly integrate into our daily routines. Our exceptional team comprises founders from Oculus and Ubiquity6, along with seasoned experts from Meta, Google, and Apple, combining extensive knowledge in both hardware and software domains. Join us in our quest to create a future where technology truly comes alive.About the RoleWe are seeking a talented Research Engineer or Scientist who operates at the crossroads of 3D computer vision and machine learning. In this pivotal role, you will address complex challenges ranging from gaze tracking to SLAM, incorporating essential physical constraints (e.g., refraction, light transport) into data-driven models. You will collaborate across multiple teams, including research, hardware, and product development, to transform advanced vision techniques into features that drive our next-generation wearable technologies.Responsibilities:Develop and enhance machine learning models addressing various 3D computer vision challenges.Engage with the entire ML stack, encompassing model architecture design, data collection, curation, evaluation, and training and inference infrastructure.Partner with firmware and hardware engineers to implement models on embedded devices.Identify promising methodologies from existing literature and innovate new strategies to achieve our ambitious objectives.

Sigma Computing’s Go-To-Market (GTM) architecture forms the backbone of how the company brings products to market and drives revenue. The Director of Go-To-Market Architecture leads the technical design and integration of this landscape, ensuring data accuracy and system reliability across every stage of the GTM process. This position reports to the VP of Revenue Operations. The role calls for a leader who sees the GTM tech stack as a platform for growth, not just a collection of tools. The Director shapes the architectural strategy, translating vision into scalable systems, integrations, and automation that support Sigma’s revenue goals. Key Responsibilities GTM System Architecture Design and oversee the architecture of the GTM stack, including platforms such as Sigma, Salesforce, Clay, Outreach, LeanData, Zoominfo, and others. Ensure these systems remain adaptable, resilient, and aligned with revenue priorities. Develop signal-based lead and account routing, territory management, and opportunity orchestration. Make sure the right signals reach the right team members at the right time. Partner with Data Engineering to create internal, Sigma-driven alternatives to legacy SaaS tools. Migrate workflows to the data warehouse to improve flexibility and manage costs. This 'SaaS Takeout' initiative aims to replace point solutions with warehouse-native processes. Salesforce and Enrichment Platform Strategy Oversee the Salesforce instance as a strategic asset. Design custom objects, flows, and integrations that can scale with the business. Lead the development of advanced outbound and enrichment workflows using Clay. Build multi-source data waterfalls that give Sales Development Representatives (SDRs) and Account Executives (AEs) a measurable advantage. Regularly evaluate and improve enrichment and orchestration tools as the market evolves, ensuring Sigma uses top-tier capabilities and avoids vendor lock-in. The 'Sigma on Sigma' Vision Act as the in-house expert on using Sigma to power the company’s own GTM strategy. This includes building live dashboards to replace static reporting and demonstrating the platform’s value internally.