Applied AI / ML Scientist - Search Ads

Join Our Team as a Senior Applied Scientist!At Gridware, we are on a mission to revolutionize grid management through innovative technology. Based in San Francisco, we are pioneering a cutting-edge approach known as Active Grid Response (AGR). This initiative focuses on enhancing the reliability and safety of the electrical grid by monitoring its electrical, physical, and environmental parameters. Our advanced platform leverages high-precision sensors to identify potential issues early, facilitating proactive maintenance and minimizing outages. Backed by leading climate-tech and Silicon Valley investors, we are poised to make a significant impact in the energy sector. For more insights on our work, visit www.Gridware.io.Role Overview:We are looking for a talented Senior Applied Scientist with a strong background in machine learning and digital signal processing (DSP). In this role, you will be responsible for designing sophisticated models that operate on diverse time-series sensor data within resource-constrained environments. Your work will involve developing algorithms that optimize for accuracy while adhering to strict power and memory constraints, thereby advancing Gridware’s edge intelligence capabilities. This position requires a blend of applied research, model optimization, and close collaboration with hardware and firmware teams to implement low-level solutions.

About GridwareGridware is a pioneering technology firm located in San Francisco, focused on safeguarding and enhancing the electrical grid. We have introduced an innovative approach to grid management known as Active Grid Response (AGR), which emphasizes the monitoring of electrical, physical, and environmental factors that impact grid reliability and safety. Our cutting-edge AGR platform utilizes precision sensors to identify potential issues at an early stage, allowing for proactive maintenance and fault mitigation. This holistic strategy contributes to improved safety, reduced outages, and enhanced grid efficiency. Our company is supported by climate-tech and Silicon Valley investors. For further details, please visit www.Gridware.io.Role Description We are on a mission to prevent grid-ignited wildfires. To achieve this, our devices require robust, thoroughly tested, and energy-efficient firmware. We are seeking your expertise to aid in the development of this firmware. You will tackle challenges related to power consumption, communications, and signal processing, enabling our devices to detect increasingly subtle faults in remote areas.

About GridwareGridware is an innovative technology firm based in San Francisco, committed to advancing and safeguarding the electrical grid. We have pioneered a revolutionary approach to grid management known as Active Grid Response (AGR), which emphasizes the monitoring of the electrical, physical, and environmental variables that influence grid reliability and safety. Our sophisticated AGR platform leverages high-precision sensors to identify potential problems early, facilitating proactive maintenance and fault prevention. This holistic strategy enhances safety, minimizes outages, and ensures the efficient operation of the grid. Backed by prominent climate-tech and Silicon Valley investors, Gridware is at the forefront of sustainable energy solutions. For more details, visit www.Gridware.io.Role DescriptionWe are on the lookout for a Senior Software Engineer to spearhead the development of systems that manage our expanding fleet of devices, which forms the backbone of Gridware's distributed sensing network. The technology you develop will enable Fleet Health operators to oversee device performance, deploy firmware updates, and ensure the reliability and security of our sensors at scale.You will collaborate across backend services, internal tools, and observability systems, designing the infrastructure that maintains thousands of edge devices in optimal health. This role is hands-on and demands high ownership, situated at the intersection of software, hardware, and operations—ideal for engineers who are passionate about building platforms that create tangible real-world impacts.

Join Our Mission at GridwareAt Gridware, based in the heart of San Francisco, we are committed to safeguarding and enhancing the electrical grid. We have pioneered an innovative approach to grid management known as Active Grid Response (AGR), which focuses on monitoring the electrical, physical, and environmental factors that influence grid reliability and safety. Our cutting-edge AGR platform utilizes high-precision sensors to identify potential issues early, facilitating proactive maintenance and fault mitigation. This holistic strategy not only enhances safety but also minimizes outages and ensures the efficient operation of the grid. We are proudly supported by climate-tech and Silicon Valley investors. Discover more about our mission at www.Gridware.io.Position OverviewAs a pivotal member of our information security compliance team, the Compliance Engineer will collaborate closely with the Head of Information Security. You will play a crucial role in designing, implementing, and operationalizing compliance controls across various frameworks, including SOC 2, ISO 27001, NIS 2, CIS IG3, NERC CIP, and NIST. Additionally, you will manage customer-facing security assurance tasks, such as responding to security questionnaires and fulfilling audit evidence requests. This is a high-visibility opportunity for individuals who thrive in dynamic environments and recognize that effective compliance is essential to robust engineering.

About GridwareGridware is an innovative technology company headquartered in San Francisco, dedicated to safeguarding and enhancing the resilience of the electrical grid. We have revolutionized grid management with our pioneering approach known as Active Grid Response (AGR), which emphasizes careful monitoring of the electrical, physical, and environmental factors that influence grid reliability and safety. Our cutting-edge AGR platform utilizes high-precision sensors to identify potential problems early on, facilitating proactive maintenance and fault mitigation. This holistic strategy significantly enhances safety, minimizes outages, and ensures optimal grid performance. We are proud to be supported by leading climate-tech and Silicon Valley investors. To learn more, visit www.Gridware.io.Role OverviewAs the Software Engineering Manager at Gridware, you will be at the forefront of leading a talented team of engineers who are focused on developing software that enhances the reliability and resilience of the electrical grid. This role combines technical leadership with effective people management; you will remain engaged with coding and architectural decisions while guiding your team to deliver high-impact, mission-critical systems. Collaborating closely with product, data, and business stakeholders, you will turn real-world infrastructure challenges into scalable, cloud-native solutions, while fostering the growth of engineers into leaders who elevate the standards of the entire organization.

About GridwareGridware is a pioneering technology company located in San Francisco, dedicated to revolutionizing the management of the electrical grid. We have developed an innovative approach known as Active Grid Response (AGR), which emphasizes the continuous monitoring of electrical, physical, and environmental parameters that influence grid reliability and safety. Our cutting-edge AGR platform employs high-precision sensors to identify potential issues early, enabling proactive maintenance and effective fault mitigation. This holistic strategy not only enhances safety but significantly reduces outages and ensures optimal grid performance. Supported by esteemed climate-tech and Silicon Valley investors, we are on a mission to create a more resilient energy future. To learn more, please visit www.Gridware.io.

About GridwareGridware is an innovative technology company located in San Francisco, committed to safeguarding and improving the electrical grid. We have introduced a revolutionary class of grid management known as Active Grid Response (AGR), which emphasizes the monitoring of electrical, physical, and environmental elements that impact reliability and safety. Our cutting-edge AGR platform employs state-of-the-art sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault resolution. This holistic strategy enhances safety, minimizes outages, and ensures the efficient operation of the grid. We are proudly supported by esteemed climate-tech and Silicon Valley investors. To learn more about us, please visit www.Gridware.io.Role Overview:As a Data Scientist specializing in forecasting, you will be seamlessly integrated into Gridware’s operations and analytics team. Your contributions will be pivotal in predicting weather-related events, optimizing analyst staffing, and deepening our understanding of the dynamic nature of Gridware’s operations center.

Join Our Team at GridwareGridware, a pioneering technology firm based in San Francisco, is committed to enhancing and safeguarding the electrical grid. We have developed an innovative class of grid management known as Active Grid Response (AGR), which focuses on monitoring critical electrical, physical, and environmental parameters that influence grid reliability and safety. Our state-of-the-art AGR platform employs high-precision sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault mitigation. This holistic approach promotes safety, minimizes outages, and ensures optimal grid performance. Backed by notable climate-tech and Silicon Valley investors, we are on a mission to redefine grid management. For more details, visit www.Gridware.io.Role OverviewWe are seeking a detail-oriented, technically proficient Senior IT Engineer to join our dynamic team. In this pivotal role, you will spearhead network architecture and facility build-outs, champion IT compliance initiatives, and oversee cross-functional projects from inception to successful completion. This is a highly impactful position ideal for a professional who excels in building robust systems, enforcing critical standards, and delivering complex technical projects within a fast-paced, growth-oriented environment.

Role overview Coframe is looking for Applied Scientists based in the San Francisco Bay Area. This position focuses on transforming platform data into actionable insights and results. The work brings together reinforcement learning, experimentation, and systems for personalization or ranking. What you will do Build models and strategies that support customer growth with limited manual intervention Use reinforcement learning and experimentation methods to address practical challenges Convert raw data into recommendations that guide strategic choices Location This role is based in the San Francisco Bay Area.

About UsAt Koah Labs, we are pioneering the advertising network that will drive the future of AI-native products. Our mission is to empower publishers in monetization while enabling advertisers to effectively reach their target audiences, all without sacrificing speed, user experience, or privacy.We are a passionate and close-knit team based in San Francisco, boasting a wealth of experience from industry leaders such as X, Apple, Meta, and various early-stage startups. With backing from top investors, we are rapidly expanding and gaining real traction on both the publisher and advertiser fronts.Joining Koah means becoming part of something transformative from the ground up. You will have the opportunity to ship code that influences not just our company but the broader ecosystem we are building. We prioritize speed, trust, and a deep commitment to our craft.Our Technology StackInfrastructure: Terraform, AWS, LGTM (Loki, Grafana, Tempo, Mimir), Tailscale, CloudflareData Technologies: PostgreSQL, ClickHouse, Redis, Kafka, PythonCore Application: Ruby on Rails, React, TypeScriptSDKs: Flutter, React Native, Android, iOSSample ProjectsDeveloping efficient algorithms for real-time bidding systems, leveraging current pricing literature.Creating and deploying regression models that predict end conversions based on demographic, audience, and semantic data.Utilizing privacy-preserving clustering techniques to categorize conversational data, enhancing advertiser outreach.Conducting comprehensive data analysis to uncover insights that can enhance our primary ad matching system, balancing both publisher and advertiser goals.

About FaireFaire is revolutionizing the wholesale marketplace, advocating for local businesses by connecting independent retailers worldwide. We believe in the power of local entrepreneurship, where independent shops can thrive and compete against giants like Walmart and Amazon. Our innovative technology, data analytics, and machine learning empower these businesses to discover unique products that resonate with their communities. By supporting local economies, we are committed to driving positive change globally. Join us in our mission to empower local businesses and make a difference!About this RoleAs a vital member of our Ads Data team, you will play a crucial role in developing cutting-edge advertising solutions for the wholesale sector. You will influence the design and functionality of our auction system, focusing on bidding strategies, pacing, pricing, and budget optimization. Utilizing our proprietary conversion data, you will train models that yield significant business outcomes for our partners. This is an exceptional opportunity to make a substantial impact in a rapidly growing division that is a key strategic focus for Faire.Collaborating with engineers, product managers, and designers, you will contribute to systems that not only demonstrate technical sophistication but also enhance profitability for both our brands and Faire.

About FaireFaire is a revolutionary online wholesale marketplace that champions the belief that the future of retail is local. Independent retailers worldwide generate more revenue collectively than giants like Walmart and Amazon, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we facilitate their access to exceptional products from around the globe. By providing the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to thrive against e-commerce giants.By nurturing the growth of independent businesses, Faire is making a significant economic impact in local communities, worldwide. We seek intelligent, resourceful, and passionate individuals to join us in driving the shop local movement. If you believe in the power of community, we invite you to become a part of ours.About this RoleAs a Senior Applied AI/ML Scientist within the Search group, you will play a pivotal role in shaping the technical vision and machine-learning strategy that drives one of our core growth areas: Search. You will enhance real-time Search and Recommendation systems that deliver next-generation shopping experiences.You'll be at the forefront of algorithm development, integrating large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized product suggestions for every user query.This is a unique opportunity to influence end-to-end personalization in a high-scale, multi-modal environment while collaborating closely with a talented team of scientists and engineers.

About GridwareGridware is an innovative technology company headquartered in San Francisco, California, committed to revolutionizing electrical grid management. Our pioneering Active Grid Response (AGR) system monitors the electrical, physical, and environmental factors impacting grid reliability and safety. By utilizing state-of-the-art sensors, our platform identifies potential issues before they escalate, allowing for timely maintenance and effective fault resolution. This proactive approach enhances safety, minimizes outages, and ensures optimal grid performance. Supported by prominent investors in the climate-tech and Silicon Valley sectors, Gridware is at the forefront of safeguarding our energy future. Visit www.Gridware.io to learn more.Role OverviewWe are in search of a detail-oriented and proactive Office Coordinator to facilitate the smooth operation of our office environment. This key role involves managing office supplies, coordinating services, and acting as the primary point of contact for staff and visitors. The ideal candidate excels in a dynamic setting, enjoys assisting others, and is dedicated to cultivating an organized and welcoming workplace. Please note that this position requires 100% on-site presence.

About GridwareGridware is an innovative technology firm located in San Francisco, committed to enhancing the resilience and safety of the electrical grid. We have pioneered a revolutionary approach to grid management known as Active Grid Response (AGR), which focuses on monitoring the electrical, physical, and environmental variables influencing grid reliability and safety. Our advanced AGR platform integrates high-precision sensors to identify potential issues at an early stage, facilitating proactive maintenance and fault resolution. This holistic strategy aims to enhance safety, minimize outages, and optimize grid performance. We are proud to be supported by prominent climate-tech and Silicon Valley investors. For more details, please visit www.Gridware.io.Role OverviewWe are on the lookout for a skilled Security Operations Engineer to bolster and scale the security measures within our cloud-centric environment. In this pivotal role, you will enhance our detection and response capabilities, fortify identity and access controls, and refine the systems and processes that ensure our infrastructure's resilience.Your collaboration with engineering, IT, and infrastructure teams will be crucial in embedding security best practices throughout our development processes. This position suits a proactive security expert who thrives in dynamic settings and is passionate about enhancing visibility, automation, and operational readiness.

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

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

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

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

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