Computer Vision Engineer at Aquabyte | San Francisco Bay Area

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.

Join Our MissionAt Aquabyte, we are dedicated to transforming the sustainability and efficiency of aquaculture. Our ambitious mission aims to enhance fish farming practices, promoting a healthier production of low carbon protein while addressing significant climate change challenges. As the fastest growing food-production sector globally, aquaculture stands at the forefront of technological innovation to ensure our oceans are harvested and preserved for future generations.We embrace diversity and are driven by our mission. If you find our vision compelling, we would love to connect with you.Our Innovative ProductPresently, we focus on empowering salmon farmers with insights into their fish populations, enabling eco-friendly decision-making. Utilizing custom underwater cameras, advanced computer vision, and machine learning, our technology quantifies fish weights, assesses health status, and formulates optimal feeding strategies in real-time. Our comprehensive product consists of on-site hardware for image capture, cloud-based data processing pipelines, and a user-friendly web application, presenting numerous exciting challenges across all aspects of our technology stack.Above all, Aquabyte prioritizes customer satisfaction. Our product development is guided by the needs of fish farmers, ensuring that we consistently deliver exceptional value.Role OverviewAs a Perception Engineer, you will be instrumental in developing and implementing cutting-edge sensing technologies for fish farms worldwide. While our current offerings leverage underwater cameras and computer vision for assessing fish health and growth, we are expanding our sensor capabilities to create a holistic understanding of the underwater ecosystem.

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 Mission At Aquabyte, we are dedicated to transforming the sustainability and efficiency of aquaculture. Our goal is to make fish farming not only more affordable but also more environmentally friendly than traditional livestock production. This initiative is crucial in combating one of the major contributors to climate change and preparing our planet for future population growth. As the fastest-growing sector in global food production, aquaculture is ripe for innovation, and we are committed to leveraging technology to responsibly harvest and safeguard our oceans for generations to come.Our diverse and passionate team is eager to collaborate with like-minded individuals. If our mission resonates with you and inspires you to act, we would love to hear from you.Our Innovative ProductCurrently, we focus on empowering salmon farmers with insights into their fish populations and enabling them to make environmentally responsible decisions. Utilizing custom underwater cameras, advanced computer vision, and machine learning, we can accurately gauge fish weights, assess health statuses, and formulate optimal feeding plans in real time. Our solution encompasses three integrated components: on-site hardware for image capture, cloud-based data processing pipelines, and a user-friendly web application, presenting a wealth of intriguing challenges across the technology stack.About The Edge Systems Team:The Edge team specializes in the hardware and software management of devices deployed at fish farms worldwide. Our mission is to create robust, autonomous, and easily deployable underwater cameras and sensors that are reliable, bandwidth-efficient, and designed with fail-safe features.We collaborate closely with premier mechanical engineering firms and optical consultants to ensure the highest quality of the underwater equipment we use. The team also develops software and protocols to facilitate thorough quality testing of these cameras for our field teams in Norway, including hardware burn-in, optical quality assessments both in-air and in-water, as well as sensor calibration and verification.Moreover, we provide intuitive software tools that enable our field teams to deploy and configure our hardware effectively, even under challenging conditions where internet access may be limited. Our debugging tools are designed for wireless operation, allowing technicians to interface with hardware directly from their mobile devices.We design the network, cellular backup systems, and mesh networks for devices at farms, always planning for potential failures and incorporating redundancies wherever feasible.

Join Until, a visionary moonshot company dedicated to revolutionizing biology with a groundbreaking 'pause button' for organ preservation. Our immediate mission focuses on organ-scale reversible cryopreservation, which allows for the preservation of donated organs at subzero temperatures while preventing ice formation, facilitating uniform rewarming for transplant. By addressing this monumental challenge, we are paving the way for whole-body reversible cryopreservation, providing patients with hope for future medical advancements.To realize our ambitious objectives, we are curating a diverse team of experts to innovate perfusion systems, develop cryoprotectant formulations, and engineer cutting-edge vitrification and rewarming technologies. Additionally, we are expanding our medical hibernation team to tackle the complexities of whole-body cryopreservation, starting with rodent models.We envision a future where logistics never hinder the availability of transplantable organs, and where terminal diagnoses can be reconsidered, allowing patients to await the arrival of future medical solutions safely.About the RoleAs a Machine Learning Engineer / Scientist at Until, you will play a pivotal role in our computational team, transforming experimental data into actionable insights that fuel scientific breakthroughs. You will create high-impact machine learning systems to aid in the development of innovative cryoprotectant formulations, engineer biologically-inspired antifreeze proteins, and unravel the physics underlying vitrification and rewarming processes. You will lead projects end-to-end, encompassing data collection design, data pipeline architecture, model training and evaluation, and the deployment of user-friendly tools for our scientific team.

Join Retell AI as a Senior Machine Learning EngineerRetell AI is at the forefront of revolutionizing the call center industry using groundbreaking voice AI technology. Within just 18 months of our inception, we have empowered thousands of businesses with our AI voice agents capable of managing sales, support, and logistics calls that traditionally required extensive human teams.Supported by renowned investors, including Y Combinator and Alt Capital, our journey has seen us scale from $5M to an impressive $36M ARR with a dedicated team of 20. Our ambition for 2026 is to develop a state-of-the-art customer experience platform, transforming entire contact centers with AI. We are building intelligent AI “workers” that will serve as frontline agents, quality assurance analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.We are rapidly expanding and seeking passionate innovators eager to solve complex technical challenges and make a tangible impact in one of the fastest-growing voice AI startups. Together, let's shape the future of customer interactions.

Dapster is actively seeking a Lead Hardware Engineer to become a pivotal part of our dynamic team. As a rapidly growing startup, this position offers the unique opportunity to influence our foundational technologies and products.About Dapster: We are dedicated to revolutionizing the market with AI-driven robotic picking solutions. Recently, we secured a significant pilot project with a top retailer, providing us with dilution-free funding to further develop our core technology.If you're eager to engage in innovative work alongside a talented and humble team, and want to share in the rewards of joining us at such an early stage, we’d love to hear from you!

About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.

About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.

Join Arcade as a Senior Machine Learning Engineer, where you'll be at the forefront of AI innovation. In this pivotal role, you will leverage advanced machine learning algorithms to create and enhance cutting-edge solutions. Collaborate closely with cross-functional teams to drive impactful projects from ideation to deployment.

Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.

At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.

Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.

Join Our MissionThe trucking and logistics sector is essential to our economy, yet its payment infrastructure is outdated and inefficient. At AtoB, we are on a mission to revolutionize payment systems for this industry. We've identified the challenges faced by hardworking professionals in trucking — from outdated tools to hidden fees, and we are committed to delivering solutions that prioritize their needs.About AtoBOur goal is to create a seamless payment experience akin to Stripe, tailor-made for the transportation industry. We understand the critical role of timely capital movement in supply chains and strive to ensure it happens smoothly and fairly. Every product we develop enhances user experience and works intelligently within the unique constraints our customers face daily, whether they are fleet managers or drivers.Our ExpertiseOur founding team boasts extensive experience in the tech and payments landscape, with backgrounds from industry leaders like Cruise Automation, Uber, Google, Meta, and Stripe. We've attracted over $125 million in funding from prominent investors, including General Catalyst, Y Combinator, and major tech founders, positioning us as a leader in innovation within our sector.Recognized by Forbes as one of the Next Billion-Dollar Startups, we are also proud to join the World Economic Forum as a Global Innovator.

Join Altos Labs as a Machine Learning Scientist or Senior Machine Learning Scientist and be at the forefront of innovative research in the virtual cell space. Our team is dedicated to advancing the field of machine learning and its applications in biological research.

About HexusAt Hexus, we are dedicated to unlocking the hidden potential of AI and personalization for businesses. Our passion lies in revolutionizing product-led growth, transforming how companies connect with their customers, thereby enhancing product adoption and ensuring long-term success. With a robust suite of AI-driven tools, Hexus enables businesses to optimize their PLG strategies across Sales, Marketing, and Customer Experience.Supported by leading investors, industry experts, and renowned angel investors, our team is spearheaded by former FAANG founders with extensive experience in SaaS, ML, and UX. Join us in our mission to redefine customer experiences through AI and personalization.Your RoleAs a dynamic, design-driven startup, we are seeking a talented Senior Product Engineer to join our early-stage team. You will be instrumental in actualizing our product vision by creating clean, intuitive UI and UX, developing robust editing tools, and ensuring top-notch performance. We seek an individual who raises the bar for what’s achievable online and is passionate about crafting exceptional responsive, interactive, and enjoyable user experiences.In this role, you will:Collaborate closely with the founding team to design engaging user experiences.Execute critical projects that empower our customers daily.Rapidly prototype and iterate on new features and functionalities, driving ongoing innovation.Architect efficient and reusable frontend systems that support complex web applications.Contribute to shaping the direction of our design-led product.Qualifications5+ years of experience in frontend development.Proficiency in front-end development using TypeScript, React, NextJS, and Node.js.Strong skills in design and styling with frameworks like Tailwind or Material Design.Comprehensive understanding of the entire web stack, including protocols and web server optimization techniques.Familiarity with modern deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc.).Capacity to grasp user challenges and convert them into features and products.A desire to thrive in a fast-paced, iterative startup environment.

Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.

About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...

Machine Learning EngineerJoin our client, a pioneering company dedicated to developing state-of-the-art non-invasive technology for brain interfacing. They are at the forefront of creating an innovative ultrasound-based platform that not only stimulates but also images brain activity with unmatched precision and depth, paving the way for groundbreaking advancements in neurological treatments and health research.This integrated approach combines cutting-edge hardware, sophisticated real-time software systems, and applied neuroscience to produce scalable solutions that can enhance lives on a global scale.We are looking for a skilled Machine Learning Engineer to play a crucial role in designing and implementing the essential algorithms that will facilitate precise imaging and targeting of brain activity through ultrasound systems.

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