Applied AI / ML Scientist - Search Ads

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 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.

Join Demandbase as an Applied AI Scientist, where you'll have the opportunity to push the boundaries of AI technology in a dynamic and innovative environment. As a key member of our team, your role will involve developing and implementing advanced AI solutions that drive impactful business results.We're looking for a passionate individual who thrives on solving complex problems and is eager to contribute to AI advancements. You will collaborate with cross-functional teams to integrate AI models into our existing frameworks and enhance our product offerings.

Faire connects independent retailers and brands worldwide through a technology-driven wholesale platform. The company’s mission centers on helping local businesses thrive by using data and machine learning to bring efficiency and insight to a traditionally fragmented market. Faire’s tools make it easier for boutiques to discover products globally and strengthen their communities. Role overview The Senior Applied AI/ML Scientist - Fulfillment joins Faire’s Data team, which builds and maintains a range of algorithms powering the marketplace. This team’s work helps small retailers compete by delivering advanced machine learning solutions and actionable insights. This position focuses on logistics and fulfillment challenges. Key areas include optimizing freight costs, determining credit limits for retailers, and expanding Faire’s retailer base through improved search engine optimization and personalized landing pages. Predicting retailer lifetime value is also a core responsibility, supporting business and product decisions. What you will do Develop and refine machine learning models for logistics and freight cost optimization Design algorithms to set optimal credit limits for retailers Enhance retailer acquisition by improving SEO and personalizing landing pages Predict retailer lifetime value to guide business and product strategy Work closely with fellow AI/ML scientists, engineers, and product managers to deliver impactful projects using marketplace data Team and culture The Data team includes scientists and engineers with experience at companies such as Uber, Airbnb, Square, Facebook, and Pinterest. Faire values resourcefulness, intelligence, and a commitment to supporting local communities. Team members contribute directly to Faire’s mission, shaping the future of independent retail with advanced machine learning. Location San Francisco, CA

About GranicaGranica is an innovative AI research and infrastructure firm dedicated to creating reliable, steerable representations of enterprise data.We establish trust through Crunch, a policy-driven health layer optimizing large tabular datasets for efficiency, reliability, and reversibility. Utilizing this foundation, we are developing Large Tabular Models—systems designed to learn cross-column and relational structures, delivering trustworthy answers and automation with integrated provenance and governance.Our MissionCurrent AI capabilities are hindered not only by model design but also by the inefficiencies of the data that supports it. At scale, each redundant byte, poorly organized dataset, and inefficient data pathway contributes to significant costs, latency, and energy waste.Granica’s mission is to eliminate these inefficiencies. We leverage groundbreaking research in information theory, probabilistic modeling, and distributed systems to craft self-optimizing data infrastructure: systems that continually enhance how information is represented and utilized by AI.Led by Prof. Andrea Montanari from Stanford, Granica’s Research group merges advances in information theory with learning efficiency in large-scale distributed systems. We collectively believe that the next significant leap in AI will originate from innovations in efficient systems, rather than merely larger models.Granica is at the forefront of developing a new category of structured AI models: foundational models designed to learn and reason from the relational, tabular, and structured data that drives the global economy. While many focus on unstructured text or media, we are venturing into the next frontier: systems capable of comprehending and reasoning over structured information.Your ContributionsCreate and prototype algorithms that form the core of structured AI, enhancing representation learning and efficient information modeling for enterprise and tabular data at petabyte scale.Develop adaptive learners merging statistical learning theory with systems optimization at scale, contributing to a new generation of foundational models for structured information.Design architectures that unify symbolic, relational, and neural components, enabling AI systems to reason directly over structured enterprise data.Construct cost models and optimization frameworks that enhance the efficiency of structured learning, both computationally and economically.

At Figma, we are on a mission to democratize design and empower teams to bring their ideas to life seamlessly. Our innovative platform facilitates collaboration, enabling users to brainstorm, prototype, and transform designs into code— all while iterating with the help of AI. Join us and be part of the future of design and collaboration, working from anywhere in the world!We are seeking talented Applied Scientists with a robust background in Machine Learning and Artificial Intelligence to enhance our products with cutting-edge AI technologies. In this role, you will lead both fundamental and applied research, leveraging industry best practices alongside a first-principles approach to develop AI/ML models and systems that elevate the Figma experience.

SentiLink is at the forefront of transforming identity verification and risk management, enabling both institutions and individuals to conduct transactions with confidence. We are committed to revolutionizing the outdated and inefficient identity verification landscape in the United States, offering solutions that are ten times faster, more intelligent, and more precise.Our rapid growth reflects the significant traction we've garnered, with our real-time APIs successfully verifying hundreds of millions of identities, especially within the financial services sector, while swiftly expanding into other markets. SentiLink enjoys the backing of top-tier investors such as Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We have received accolades from major publications including TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and have consistently ranked on the Forbes Fintech 50 list since 2023. Notably, we made history by being the first company to implement the eCBSV and provided testimony before the United States House of Representatives regarding the future of identity verification.SentiLink promotes a flexible working environment, offering various work arrangements ranging from fully remote to in-office. As a digital-first organization, we emphasize strong collaboration across teams in the U.S. and India. Our offices are located in cities including Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., along with Gurugram (Delhi) and Bengaluru in India. If you are near any of these locations, we encourage regular in-office engagement. Some positions are designed to be hybrid or in-office. For instance, our engineering team in India primarily operates from our Gurugram office.

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 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.

SentiLink is at the forefront of delivering cutting-edge identity and risk management solutions, providing both individuals and institutions the ability to transact with assurance. We are revolutionizing identity verification within the United States, replacing outdated, inefficient, and costly practices with solutions that are ten times faster, smarter, and more precise.Our rapid growth is a testament to our innovative approach; our real-time APIs have successfully verified hundreds of millions of identities, initially focusing on the financial sector and quickly expanding into various new markets. SentiLink enjoys the support of prestigious investors including Craft Ventures, Andreessen Horowitz, NYCA, and Max Levchin.We are proud to have received accolades from TechCrunch, CNBC, Bloomberg, Forbes, Business Insider, PYMNTS, and American Banker, and we have been featured in the Forbes Fintech 50 list every year since 2023. Notably, we made history as the first company to deploy the eCBSV and have testified before the United States House of Representatives regarding the future of identity verification.SentiLink accommodates a flexible work environment, ranging from fully remote positions to in-office roles. As a digital-first company, we emphasize collaboration across teams in the U.S. and India. We have physical locations in Austin, San Francisco, New York City, Seattle, Los Angeles, and Chicago in the U.S., alongside offices in Gurugram (Delhi) and Bengaluru in India. For those near our offices, we encourage regular office attendance. Certain roles, such as our engineering team in India, are designed to be primarily in-office.Role Overview:As a Senior Applied ML Scientist at SentiLink, you will be instrumental in developing our core products: advanced models aimed at identifying fraudulent activities while enhancing our expanding array of financial risk solutions. Your expertise as a seasoned researcher will be essential, making you the authoritative figure in your domain. You will frequently engage in high-impact projects that necessitate a profound understanding of the field, critical analytical skills, and robust technical capabilities. Collaboration with various teams across the organization will be key as you investigate new fraud types, innovate product offerings, and conduct analyses to support our sales and marketing efforts.

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.

Join Our Innovative Team at ArcadeAt Arcade, we are revolutionizing the way physical products are created with our cutting-edge AI platform. We empower individuals to turn their creative ideas into tangible products seamlessly, utilizing natural language and generative AI. Our mission is to democratize product design, making it as effortless as sharing a post online.Backed by a remarkable $42M in funding from industry-leading investors including Reid Hoffman and Ashton Kutcher, our company is a rising star in the tech landscape. Guided by our founder Mariam Naficy and a team steeped in AI and design expertise, we are at the forefront of a new frontier that merges AI, personal expression, and on-demand manufacturing.Your Role as an Applied AI EngineerWe are on the lookout for an Applied AI Engineer to enhance our generative AI capabilities. This position combines hands-on model development with the integration of advanced AI techniques into our production systems. You will collaborate with diverse teams to conduct research, experiment with models, and implement AI-driven products.

Draup, based in San Francisco, is an AI company backed by Series A investors. The team builds an intelligence platform that supports global enterprises in workforce and go-to-market planning. Draup’s platform processes massive volumes of data, including over 1 billion job descriptions and 850 million professional profiles, and draws from more than 100 labor databases. Clients include more than 250 enterprises, with five of the Fortune 10 among them. The Silicon Valley engineering group is expanding and seeks experienced data scientists who are interested in advanced AI research and product development. This small team focuses on projects with significant impact across Draup’s offerings. What you will do Build and maintain machine learning models for classification, extraction, trend analysis, and predictive scoring using large structured and unstructured datasets. Design and execute experiments and benchmarks to measure model accuracy, address bias, and validate results at scale. Apply NLP techniques such as embeddings, named entity recognition (NER), and text classification in production data pipelines. Collaborate with engineering teams to transition models from research to production, including monitoring and drift detection. Develop evaluation frameworks to assess AI-generated outputs across multiple product areas.

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.

Company OverviewEcho Neurotechnologies is an innovative startup in the Brain-Computer Interface (BCI) sector, pioneering advancements through superior hardware engineering and artificial intelligence solutions. Our mission is to develop state-of-the-art technologies that empower individuals with disabilities, enhancing their independence and overall quality of life.Team CultureBecome a part of a dynamic team of passionate and knowledgeable professionals. Our early-stage environment allows you to influence critical decisions that lead to significant and long-term impacts. We value ongoing learning and development, promoting cross-functional collaboration where your input is essential to our success.Job SummaryWe are looking for an adept Applied AI Scientist specializing in language and contextual modeling to enhance our team. The successful candidate will utilize machine learning and AI principles to design, develop, optimize, personalize, and miniaturize advanced language and context models for brain-computer interface applications, aiming to make a tangible difference in the lives of patients with physical disabilities.Key ResponsibilitiesLanguage modeling: Utilize your deep understanding of language models (LMs) to develop tailored solutions for brain-computer interface applications, including fine-tuning and customization of large language models (LLMs).Context modeling: Create and implement machine learning pipelines that facilitate real-time inference across multiple input streams, deploying both proprietary and industry-standard models to analyze audio, video, and application states.General ML practices & adherence to company standards: Focus on model dissection for enhanced interpretability, enabling the extraction of rich latent representations from extensive models for broader application.

At Lyft, we are driven by our mission to connect people and foster community. We strive to create an inclusive work environment where every team member feels valued and has the opportunity to excel.Lyft Ads, one of our most dynamic and rapidly expanding divisions, is dedicated to developing the world’s premier transportation media network. Our goal is to enable brands to engage with riders at pivotal moments throughout their journey—before, during, and after their rides—by delivering impactful, contextually relevant advertising experiences. We operate at the forefront of mobility data, real-time decision-making systems, and AI-driven personalization, empowering advertisers to execute high-impact campaigns with measurable success.We are currently in search of an Algorithms Scientist to spearhead the development of next-generation algorithms focused on ad relevance, targeting, optimization, and measurement that underpin the Lyft Ads platform. In this pivotal role, you will navigate large-scale datasets and intricate real-time systems to design, prototype, and deploy robust machine learning models. Your collaboration with cross-functional teams, including Engineering, Product, Data Science, and Sales, will be instrumental in translating complex business and advertiser needs into effective algorithmic solutions that enhance ad performance, optimize marketplace efficiency, and drive significant revenue growth.This is a high-impact, technically demanding position within a rapidly scaling business unit. The ideal candidate will possess a strong intuition for applied machine learning, extensive hands-on modeling experience, and the capability to write clean, efficient production code. You will play a crucial role in transforming how advertisers connect with Lyft riders, pushing the envelope on personalization, measurement, and real-time optimization in a fast-paced marketplace.

About UsAt Applied Compute, we are pioneering the development of Specific Intelligence for enterprises, creating agents that continuously learn from a company’s processes, data, expertise, and objectives. Our mission is to bridge the gap between isolated AI capabilities and their effective application within real business environments. Traditional AI systems often fall short as they lack the ability to adapt based on feedback. Our innovative continual learning layer captures context, memory, and decision-making processes across the enterprise, enabling specialized agents to engage in meaningful work.What Excites Us: We operate at the exciting intersection of product development and cutting-edge research. Our product team designs the platform that empowers a new generation of digital coworkers, while our research team drives advancements in post-training and reinforcement learning to enhance user experiences. As an applied research engineer, you will work directly with clients to implement models in production, combining robust product development with deep research insights to facilitate AI integration in enterprises.Meet Our Team: Our diverse team consists of engineers, researchers, and operators, many of whom are former founders. We have previously built reinforcement learning infrastructure at OpenAI, established data foundations at Scale AI, and contributed to significant systems at companies like Together, Two Sigma, and Watershed. We collaborate with Fortune 50 clients, including DoorDash, Mercor, and Cognition, and are proud to be backed by reputable investors such as Benchmark, Sequoia, and Lux.Who Thrives Here: We seek individuals who are passionate about applying innovative research and complex systems to solve real-world challenges. You should feel comfortable navigating new environments rapidly—be it a fresh codebase, a client’s data architecture, or an unfamiliar problem domain. A genuine enjoyment for customer interaction, empathy, and a deep understanding of their operational workflows are essential. Candidates with entrepreneurial backgrounds, extensive side projects, or a proven track record of end-to-end ownership typically excel in our environment.

Join Our Team as an Applied AI/ML Engineer!Are you an innovative AI/ML Engineer with 5 to 8 years of experience in developing and managing production AI and ML systems that impact real users? At paraform, we seek a talented individual who thrives in creating modern LLM agentic systems and traditional ML frameworks. You should have a proven track record of delivering systems with measurable quality metrics and a tangible business impact, alongside a strong grasp of evaluation methodologies that prioritize product goals. Familiarity with large-scale retrieval, ranking, NLP, or personalization systems is highly desirable.Your ResponsibilitiesDesign and implement cutting-edge AI/ML systems that enhance matchmaking, ranking, and automation within the Paraform marketplace.Oversee the complete model development lifecycle, from data collection and labeling strategies through to deployment, monitoring, and iterative improvements in production.Collaborate closely with product managers, AI engineers, and full-stack teams to deliver systems that significantly affect marketplace metrics.Establish and sustain robust evaluation frameworks to continuously assess quality, bias, reliability, and business impact.Set the technical direction and establish best practices for AI/ML at Paraform.Mentor fellow engineers, elevating the standards of design, deployment, and maintenance of AI systems.About paraform:Paraform is revolutionizing the hiring market—one of the largest and most fragmented industries globally. We collaborate with renowned industry leaders such as Cursor, Palantir, Windsurf, Decagon, Shopify, Coinbase, and Hightouch to attract world-class talent. Our rapid growth, exemplified by an 8x increase in revenue last year, underscores our success.As the first all-in-one AI recruiting marketplace, Paraform connects companies with thousands of specialized recruiters and AI agents to streamline the hiring process, making it faster and more precise.Our mission is to enhance hiring efficiency, reliability, and scalability for every organization worldwide.At paraform, we believe the best recruiting occurs when the right talent addresses the right challenges, blending human insight with AI that comprehends hiring intricacies. Hence, we are laying a new foundation for recruitment that unites specialized recruiters with advanced AI tools.