Senior AI/ML Scientist - Search at Faire | San Francisco

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…

About FaireFaire is a dynamic online wholesale marketplace that champions the belief in a localized future. Independent retailers worldwide are generating more revenue than industry giants like Walmart and Amazon combined; however, on their own, they remain small. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique — we empower them to discover exceptional products from around the world to offer in their stores. With the right tools and insights, we believe we can create a level playing field so that small businesses everywhere can compete with the massive retail and e-commerce entities.By fostering the growth of independent businesses, Faire positively impacts local economies globally. We seek intelligent, resourceful, and passionate individuals to join us in fueling the shop local movement. If you believe in community, we invite you to become a part of ours.About this RoleThe Ads Data team is developing the next generation of advertising solutions for the wholesale sector. As an integral member of this team, you will spearhead the machine learning algorithm strategy and system architecture that drives one of the most vital components for customer value and corporate growth—Search Ads. You will lead the development of real-time systems that determine which ads to display for a given query, their placement, and how to optimize for relevance, marketplace health, and advertiser performance. This role parallels many technical expectations of Faire's organic Search positions (including modern NLP/LLMs, query understanding, real-time ranking), while functioning within an advertising context featuring auctions, budgets, and pacing constraints.You will work at the cutting edge of algorithms, blending large language models, natural language processing, query understanding, deep learning, and structured behavioral data to deliver highly relevant sponsored results for any query.

About FaireFaire is a pioneering online wholesale platform that champions local economies. Independent retailers around the world are generating more revenue than giants like Walmart and Amazon combined, yet they often lack the resources to compete. At Faire, we leverage cutting-edge technology, data analytics, and machine learning to empower these small business owners. Imagine your beloved local boutique; we connect them with exceptional products from various parts of the globe. With our innovative tools and insights, we strive to level the playing field, enabling small businesses to thrive against corporate giants.By fostering the growth of independent businesses, Faire is creating significant positive economic impacts in local communities worldwide. We are seeking 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 RoleThe Ads Data team is at the forefront of developing next-generation advertising solutions for the wholesale sector. As a vital contributor to this team, you will spearhead the machine learning algorithm design and strategy that drives one of the most pivotal components of customer value and company growth—Search Ads. You will oversee the development of real-time systems that determine ad placements for specific queries, optimizing for relevance, marketplace health, and advertiser success. This role encompasses many technical aspects akin to Faire’s organic Search roles, including modern NLP/LLMs, query understanding, and real-time ranking, while functioning in an advertising context with auctions, budgets, and pacing constraints.You will be at the cutting edge of algorithm development, merging large language models, natural language processing, query comprehension, deep learning, and structured behavioral data to deliver highly pertinent sponsored results for any search query.What You'll DoLead and enhance the Search Ads relevance stack, including query understanding, targeting, candidate generation, multi-stage ranking, and calibration, while achieving strict latency and reliability objectives.Design and implement machine learning models that enhance the relevance and personalization of sponsored results, utilizing a mix of unstructured signals (text/images where applicable), LLM-based representations, and structured marketplace features.Collaborate closely with engineering and product teams to integrate relevance improvements into our advertising solutions.

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 in local economies. Independent retailers around the world are achieving greater revenues than industry giants like Walmart and Amazon combined, yet individually they remain small in comparison. At Faire, we harness the power of technology, data, and machine learning to connect this dynamic community of entrepreneurs globally. Imagine your favorite local boutique — we empower them to discover and sell the finest products from around the globe in their stores. With the right tools and insights, we strive to level the playing field, enabling small businesses everywhere to compete against big box and e-commerce titans.By nurturing the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join us in driving the local shopping movement. If you believe in community, come become a part of ours.About this roleAs a Senior Recruiter at Faire, you will be instrumental in scaling our Product, Strategy, and Design teams during a pivotal growth phase. You will collaborate closely with senior leadership and cross-functional stakeholders to attract, engage, and hire exceptional talent that makes a meaningful business impact.We seek a recruiter who possesses a genuine passion for their craft and employs a thoughtful, data-driven strategy for building and managing high-quality talent pipelines. You will take a proactive approach, balancing efficiency with thoroughness, and ensuring a seamless and inclusive candidate experience.The ideal candidate will be a collaborative partner to hiring managers and colleagues, bringing positive energy, robust stakeholder management skills, and a proven history of successfully recruiting top talent in competitive markets.

Faire connects independent retailers with global brands through a technology-driven wholesale platform. By using data and machine learning, the company helps local boutiques and shops source products more efficiently. Faire’s platform aims to empower small businesses and strengthen their communities. Role overview The Sales Development Representative will join the Brand Partnerships team in San Francisco. This team focuses on ensuring Faire’s platform features a strong selection of brands that match the needs of independent retailers. Success in this role means expanding Faire’s brand supply and supporting the growth of retailers using the platform. This position is well suited for someone who takes initiative, adapts quickly, and enjoys building relationships with prospective brand partners. As Faire continues to grow, this role offers room to learn, take on new projects, and explore advancement within the company. What you will do Learn the sales process and collaborate with the team to improve Faire’s brand directory. Identify and contact brands that align with the needs of Faire’s retail customers. Qualify inbound leads and applicant brands to help them grow on the platform. Understand retailer needs and use outreach methods such as email, phone calls, social media, and in-person events to connect with potential brand partners. Build relationships with brand partners and work closely with the Account Executive Sales team. Participate in special projects and consider advancement opportunities, including moving into a full sales role or other positions at Faire. Location This role is based in San Francisco, CA.

About FaireFaire is an innovative online wholesale marketplace committed to supporting local economies. Our platform empowers independent retailers worldwide, allowing them to compete with industry giants like Walmart and Amazon. By harnessing advanced technology, data insights, and machine learning, we connect a vibrant community of entrepreneurs, helping them discover exceptional products to enhance their offerings. At Faire, we believe in leveling the playing field, providing small businesses with the tools they need to thrive.By fostering the growth of independent retailers, Faire contributes positively to local communities around the globe. We are in search of talented, driven individuals who share our passion for empowering local businesses. If you are a community advocate, we invite you to join our mission.About This RoleThe Enterprise Account Executive plays a pivotal role in our brand acquisition strategy by collaborating with larger, more complex brands to onboard them onto the Faire platform. You will manage a portfolio of strategic prospects, navigate intricate sales cycles involving multiple stakeholders, and help define our enterprise partnership strategies. This position is ideal for candidates who have experience selling in mid-market or upper mid-market environments, where deals typically require engagement with 5-6 stakeholders and span several quarters. You are a compelling storyteller with a strong understanding of change management, capable of articulating value to decision-makers who are protective of their existing distribution strategies.

At Sciforium, we are at the forefront of AI infrastructure, creating next-generation multimodal AI models and a proprietary high-efficiency serving platform. With substantial backing from AMD, our team is rapidly expanding to develop the complete stack necessary for cutting-edge AI models and real-time applications.About the RoleWe are on the lookout for a talented Senior Research Scientist with expertise in advanced AI and machine learning. This role entails spearheading innovative research projects focusing on large language models, generative media, model architecture, optimization, and scalable training systems. You will engage directly with contemporary ML frameworks, publish original research, and collaborate closely with engineering teams to transition impactful models into production. This position is perfect for a driven researcher excited about pioneering breakthroughs in AI.What You'll DoLead research initiatives in advanced machine learning topics such as LLMs, generative AI, foundational modeling, optimization strategies, diffusion models, and novel Transformer architectures.Design, implement, and assess new ML algorithms using frameworks like PyTorch and JAX.Conduct large-scale distributed training experiments utilizing multi-GPU/TPU systems and cutting-edge compute infrastructure.Enhance performance through debugging frameworks, optimizing speed, and refining training pipelines.Generate high-quality research outputs including academic papers, internal reports, patents, and reproducible code.Work collaboratively with engineering and product teams to convert research prototypes into robust production systems.Stay updated with the latest research advancements to incorporate state-of-the-art techniques into Sciforium's AI roadmap.Mentor junior researchers and actively contribute to fostering a world-class AI research culture.

About FaireFaire is a revolutionary technology-driven wholesale platform that champions the local movement. We believe in empowering independent retailers around the globe, representing a vast and historically fragmented wholesale market. At Faire, we leverage cutting-edge technology, data, and machine learning to connect a vibrant community of entrepreneurs. Our mission is to help local boutiques discover exceptional products from around the world, enabling them to thrive and contribute to their communities. Join us in driving the shop local movement and be part of a community that values connection and growth.About this roleWe are searching for a seasoned Fraud Strategy Lead to define and implement strategies that safeguard the integrity of our diverse community of brands and retailers. In this pivotal role, you will oversee the comprehensive management of strategic fraud initiatives, translating company objectives into team priorities, and serving as a domain expert within the organization.As a senior member of the Risk organization’s Fraud & Abuse team, you will collaborate closely with leaders in Data Science, Engineering, Product, Legal, and Customer Experience to enhance fraud capabilities and develop data-driven strategies that allow Faire to innovate while ensuring customer safety. Your focus will be on strategic initiatives while also mentoring team members and enhancing overall team performance.This role is perfect for a professional eager to establish themselves as a recognized subject matter expert in fraud and risk, drive significant changes in systems and policies, and influence Faire's approach to fraud strategy.What you’ll doLead the end-to-end management of strategic fraud and abuse initiatives, transforming company goals into actionable plans that enhance Faire’s fraud capabilities.Drive improvements in processes and systems within the Fraud & Abuse function, achieving measurable business and customer outcomes while autonomously addressing ambiguous challenges.Act as a go-to expert for complex fraud investigations and escalations across the organization.Collaborate with Data Science, Engineering, and Product teams to evolve fraud tools, models, and features, utilizing data-driven insights to identify opportunities and support proposals.Create clear and effective documentation for strategic projects and initiatives; navigate internal processes to ensure successful implementation.

About FaireFaire is a revolutionary online wholesale marketplace, founded on the principle that the future is local. Independent retailers worldwide are generating more revenue than giants like Walmart and Amazon combined, yet they remain small compared to these massive corporations. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we assist them in discovering exceptional products from around the globe to stock their shelves. With the right tools and insights, we aim to level the playing field, enabling small businesses everywhere to compete with big box and e-commerce giants.By promoting the growth of independent businesses, Faire is fostering positive economic impacts in local communities around the world. We are seeking intelligent, resourceful, and passionate individuals to join us in powering the shop local movement. If you believe in the strength of community, come be a part of ours.About this roleAs the Value Pillar Lead, you will spearhead and expand Faire's core value programs, including Faire Source (Fulfilled by Faire), Faire Pay, Insider, and the operational systems that underpin shipping, risk, and retailer empowerment. Your mission is to transform these initiatives into robust growth engines that simplify, economize, and enhance the wholesale purchasing experience on Faire.You will be responsible for the product strategy and economic performance of this portfolio, operating with the acumen and discipline of a business line owner while being deeply rooted in product excellence. Your focus will be on balancing customer experience, adoption, margin, capital efficiency, operational reliability, and risk, ensuring that each program scales with economic prudence and long-term sustainability.You will develop and lead a high-performance team of Product Managers, collaborating closely with Engineering, Operations, Finance, Risk, Data, Design, and Marketing to advance and scale these capabilities. You will define the long-term product vision for how value programs and core systems integrate seamlessly into the retailer journey, enhancing adoption, strengthening loyalty, and solidifying Faire's position as the preferred platform for wholesale purchasing.

About FaireFaire is revolutionizing the wholesale marketplace by empowering independent retailers globally. We believe in the strength of local commerce, where small businesses can thrive against giants like Walmart and Amazon. Our technology leverages data and machine learning to connect these vibrant entrepreneurs, enabling them to access the best products from around the world. With the right insights and tools, we’re leveling the playing field for small businesses everywhere.By championing the growth of local enterprises, Faire is making a significant economic impact in communities around the globe. We seek intelligent, passionate, and innovative individuals to join us in this mission. If you share our belief in the power of community, we invite you to become part of ours.About This RoleThe Ads Data team is pioneering the next generation of advertising solutions for the wholesale industry. As a vital contributor, you will help shape our advertising marketplace and auction systems at Faire, focusing on auction design, bidding strategies, pacing, pricing, and budget optimization. Our in-house technology stack allows us complete ownership over the process, and our first-party conversion data enables us to train highly effective models that drive substantial, business-critical outcomes for our brands.This is a unique opportunity to be an early member of a rapidly growing team in a crucial area of our business. Ads are a top priority for the company, and your contributions will significantly influence the platform that connects independent retailers with brands. Collaborating closely with engineers, product managers, and designers, you will launch and refine systems that not only exhibit technical sophistication but also positively impact the financial outcomes for both brands and Faire.Your ResponsibilitiesLead the comprehensive development of machine learning models across the ads bidding framework—from problem identification and solution design to modeling, implementation, deployment, experimentation, and performance assessment.Create advanced models and algorithms for auction optimization, bid shading, bid multipliers, budget allocation, pacing, and advertiser ROI/ROAS optimization—utilizing marketplace optimization principles and best practices.Identify and enhance bidding strategies to maximize the effectiveness of advertising campaigns.

About FaireFaire is a pioneering online wholesale marketplace committed to the belief that the future is local. Independent retailers around the world are generating more revenue than Walmart and Amazon combined, yet they remain comparatively small. At Faire, we harness technology, data, and machine learning to unite this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover exceptional products from across the globe to stock their shelves. By providing the right tools and insights, we aim to create a level playing field, allowing small businesses to compete with larger retail and e-commerce giants.By nurturing the growth of independent businesses, Faire fosters positive economic impacts in local communities worldwide. We are seeking intelligent, resourceful, and passionate individuals to join our mission to bolster the shop local movement. If you share our commitment to community, we invite you to become part of ours.About this RoleAt Faire, we leverage the power of machine learning (ML) and data insights to transform the wholesale landscape, enabling local retailers to compete effectively against giants like Amazon and big box stores. Our talented team of data scientists and machine learning engineers specialize in developing algorithmic solutions for notification systems, advertising attribution, and Lifetime Value (LTV) predictions, with the ultimate aim of empowering local retail businesses.The Data Science team at Faire is tasked with creating and maintaining a diverse array of algorithms and models that drive our marketplace. We are dedicated to building machine learning models that enhance our customers' success.As a Data Scientist in the Retailer team, you will face a variety of challenges, such as optimizing logistics and freight costs and determining optimal credit limits. You will also play a crucial role in expanding Faire’s retailer base by enhancing Search Engine Optimization, personalizing landing pages for new retailers, and predicting retailer lifetime values. You will work closely with fellow data scientists, engineers, and product managers to execute projects that extract value from our unique, rich, and rapidly growing two-sided marketplace data.Our current team features experienced Data Scientists and Machine Learning Engineers from leading companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Join us at Faire, where we aim to become a premier destination for data scientists and machine learning professionals!

Join the Center for AI Safety (CAIS), a premier research and advocacy organization dedicated to addressing the complex societal challenges posed by artificial intelligence (AI). Our mission focuses on mitigating large-scale risks associated with AI through groundbreaking technical research, strategic initiatives, and proactive policy engagement, in collaboration with our sister organization, the Center for AI Safety Action Fund. As a Senior Research Scientist at CAIS, you will spearhead and execute transformative research aimed at enhancing the safety and reliability of advanced AI systems. You will take ownership of significant open challenges, driving them to successful publication. We seek individuals who set a high standard for research excellence and contribute innovative ideas to elevate our collective understanding. Your role will involve designing and conducting experiments on large language models, developing the necessary tools for large-scale model training and evaluation, and translating findings into publishable research. Close collaboration with CAIS researchers and external academic and industry partners will be essential, utilizing our compute cluster for extensive training and evaluation projects. Research areas include AI honesty, robustness, transparency, and mitigating trojan/backdoor behaviors, all geared towards reducing real-world risks from sophisticated AI systems.

Draup, based in San Francisco, is an AI company with Series A funding that builds intelligence solutions for large enterprises. The platform analyzes over 1 billion job descriptions and 850 million professional profiles, serving more than 250 enterprise clients, including several Fortune 10 companies. Draup’s data comes from more than 100 labor databases, supporting clients with deep workforce insights. Role overview The engineering team in Silicon Valley is expanding. Draup seeks experienced AI/ML Engineers interested in advancing both research and product development in artificial intelligence. What you will do Develop and maintain production-grade large language model (LLM) pipelines and agentic workflows. Design and enhance retrieval-augmented generation (RAG) architectures at scale, using vector databases such as Pinecone, FAISS, and Weaviate. Implement advanced agentic systems with tools like LangGraph or LlamaIndex, focusing on tool use, multi-agent coordination, and reasoning loops. Lead prompt engineering, manage model versioning, oversee evaluation (including RAGAS and DeepEval), and instrument LLMOps. Integrate AI features into large-scale data pipelines, ensuring observability in production and compliance with guardrails. Location This position is based in San Francisco, CA (Silicon Valley).

About FaireAt Faire, we believe in the power of local businesses. As a leading online wholesale marketplace, we empower independent retailers worldwide to thrive against corporate giants like Walmart and Amazon. By leveraging technology, data, and machine learning, we connect a vibrant community of entrepreneurs, enabling them to discover unique products that resonate with their customers. Our tools and insights aim to equalize the playing field for small businesses everywhere, helping them compete effectively in the marketplace.Join us in driving positive economic change within local communities and support the shop local movement. If you share our passion for community, we invite you to be part of our journey.About this RoleThe Discovery pillar is focused on creating a seamless and enjoyable experience for retailers to find the brands and products their customers adore. As the Staff Product Manager for Search Algorithms, you will lead the product development of our search algorithms, the primary discovery interface in terms of order volume.

About FaireFaire is a dynamic online wholesale marketplace dedicated to empowering local businesses. We believe in a future where independent retailers can thrive and compete against retail giants like Walmart and Amazon. By harnessing technology, data, and machine learning, we connect a vibrant community of entrepreneurs globally. Imagine helping your favorite local boutique source outstanding products from around the world to enhance their offerings. Our mission is to provide the tools and insights that enable small businesses to succeed in a competitive landscape.By championing the growth of independent businesses, Faire fosters positive economic impacts within communities worldwide. We are on the lookout for intelligent, resourceful, and passionate individuals to join our team as we drive the shop local movement. If you share our commitment to community, we invite you to be part of ours.About this roleAt Faire, we leverage advanced machine learning and data insights to transform the wholesale industry, enabling local retailers to stand strong against larger competitors. The Data Science team is pivotal in developing and sustaining a variety of algorithms and models that enhance our marketplace. We focus on creating innovative machine learning models that empower our customers to succeed.As a member of the Brand Data Science team focused on Listing Quality, your role will involve enhancing the quality of product listings, enabling retailers to effectively discover and assess products on Faire. You will apply ML and AI to address key challenges, including improving image and text quality, extracting structured product attributes, and accurately identifying duplicates and product variants. Utilizing deep learning, multi-modal LLMs, and a human-in-the-loop approach, you'll deliver high-performance solutions. In this rapidly evolving domain, you will be at the forefront of applying cutting-edge technology to drive tangible outcomes. You will independently design and implement solutions while collaborating with the cross-functional Listing Quality pod, which includes product, design, engineering, analytics, and operations, to tackle challenges comprehensively.

Vivodyne: Pioneering Human Data Generation Pre-Clinical TrialsAt Vivodyne, we revolutionize the discovery, design, and development of human therapeutics by utilizing large-scale, lab-grown human organ tissues. Our innovative approach integrates cutting-edge biology, robotics, and artificial intelligence, allowing us to identify and validate novel therapeutic targets while minimizing risks associated with new therapeutic assets. By generating clinically translatable multi-omic data from our proprietary human organ tissues, we produce more human data than all U.S. clinical trials combined. Backed by elite venture funds, we collaborate with leading multinational pharmaceutical companies to enhance drug discovery and significantly reduce animal testing burdens.www.vivodyne.comRole OverviewThe AI Team at Vivodyne faces some of the most compelling challenges in science and engineering. With access to extensive and rich human tissue imagery, we are pushing the boundaries of artificial intelligence in biological applications. We are developing a suite of AI technologies aimed at automating the discovery, development, and de-risking of novel therapies through our unique technology platform, including single-cell 3D phenomics/machine vision, multimodal (multi-omic) translation, and reinforcement learning for robotic planning and study design.As an AI Senior Scientist, you will apply your expertise in large-scale model development (including Transformer, Diffusion, and hybrid architectures) and Generative AI solutions to transform our advanced imaging and multi-omics datasets into groundbreaking scientific insights. You will work closely with biologists, engineers, and AI specialists to create robust, production-ready algorithms and models that facilitate Vivodyne's impactful discoveries.This position requires on-site work at our Brisbane, California office.

About FaireFaire is a cutting-edge online wholesale marketplace driven by the belief that the future is local. Independent retailers around the world generate more revenue than giants like Walmart and Amazon combined, yet individually, they often struggle against these behemoths. At Faire, we harness the power of technology, data, and machine learning to connect this vibrant community of entrepreneurs globally. Imagine your favorite local boutique; we empower them to discover and sell exceptional products from around the world. With the right tools and insights, we aim to level the playing field, allowing small businesses to compete effectively with large retail chains and e-commerce platforms.By fostering the growth of independent businesses, Faire is making a positive economic impact in local communities worldwide. We’re in search of intelligent, resourceful, and passionate individuals to join us in driving the shop-local movement. If you share our belief in community, we would love to welcome you to ours.About this Role:We are on the lookout for a Principal ML / AI Engineer to serve as a company-wide technical thought leader and practitioner in shaping the future of Data and AI at Faire. This unique opportunity allows you to influence broad technical strategies across data, engineering, and product while engaging directly with pioneering AI research and applications. This role will report directly to the CTO of Faire.Your Responsibilities:Shape the AI Vision – Collaborate with product, design, strategy & analytics, machine learning, and the wider engineering leadership to define how AI can unlock transformational value for Faire’s retailers and brands. Provide thought leadership to guide company-wide priorities, particularly focusing on product strategy and key investment areas.Prototype and Unblock – Lead the development and implementation of AI systems (such as LLM fine-tuning, RLHF, agent frameworks, etc.) that illustrate what’s achievable and promote adoption across teams. Act as a “super individual contributor” who can delve deeply into technical challenges, enabling the engineering organization to advance quickly with AI and amplify both development and impact.Architect the AI-Ready Stack – Design Faire’s technical ecosystem, encompassing event logging, data warehouses, feature stores, and model serving, to ensure our infrastructure is AI-ready, scalable, and optimized for rapid experimentation.

Are you passionate about making a difference? Join our team! At GoFundMe, we're proud to be the leading platform for community support, enabling individuals and nonprofits to connect and uplift each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising efforts, helping countless people in times of need. We are currently seeking a talented Senior Search Engineer to spearhead the design and implementation of our next generation of search and retrieval systems, incorporating cutting-edge machine learning technologies and generative AI applications. You will work alongside a dedicated team to create impactful solutions that enhance user experiences and drive business success. Please note that candidates for this role must be located in the San Francisco Bay Area, as this position requires in-office attendance three times a week.

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.