Data Scientist - AI/ML at Trace Machina | United States

About Trace Machina:At Trace Machina, we are revolutionizing the software development lifecycle with our innovative technology, NativeLink. This state-of-the-art build caching and remote execution system enhances software compilation and testing, while significantly lowering infrastructure costs. Our mission is to empower organizations of all sizes to stream…

About Trace Machina:At Trace Machina, we are transforming the software development lifecycle with NativeLink, an innovative high-performance build caching and remote execution system. NativeLink accelerates the software compilation and testing processes while significantly decreasing infrastructure costs, enabling organizations to enhance their build workflows effectively. We partner with clients ranging from startups to large enterprises to help them scale and optimize their build systems seamlessly.In line with our growth trajectory, we are seeking a skilled and visionary AI Safety Researcher to join our dynamic team. In this pivotal role, you will investigate and ensure the safety, robustness, and ethical integrity of AI-driven systems, with a focus on enhancing the reliability of automated build and testing processes. You will be instrumental in safeguarding the security, fairness, and performance of our systems in complex environments.Job Description:As an AI Safety Researcher at Trace Machina, you will play a key role in the development of AI-driven tools and systems that underpin NativeLink’s build caching and remote execution platform. Your primary focus will be on designing safe, reliable, and interpretable machine learning models that optimize build processes while addressing potential risks associated with automation and AI in the software development lifecycle. Collaborating closely with engineering and product teams, you will ensure that safety is a paramount consideration throughout the development and deployment of AI solutions.Job Responsibilities:Conduct research on AI safety, emphasizing robustness, fairness, and interpretability of machine learning models used within build systems.Develop algorithms and frameworks that guarantee the safe deployment of AI automation in software build, testing, and CI/CD workflows.Collaborate with engineering teams to integrate AI safety mechanisms, ensuring robust error handling and fault tolerance.Investigate and mitigate risks associated with AI-driven decision-making in distributed build systems, particularly in mission-critical operations.Contribute to the creation of safety-critical AI models aimed at optimizing performance, caching accuracy, and task coordination across diverse customer environments.Conduct studies on the ethical implications of AI in software development, ensuring that algorithms employed in NativeLink adhere to responsible AI principles.Perform comprehensive testing, model validation, and risk assessment to confirm that AI systems meet reliability and safety standards.

About Trace Machina:At Trace Machina, we are revolutionizing the software development landscape with our innovative platform, NativeLink, designed for high-performance build caching and remote execution. NativeLink accelerates the software compilation and testing processes, enabling developers to minimize infrastructure costs while optimizing workflows for projects of any scale. By intelligently caching build artifacts and distributing tasks across multiple machines, we empower teams to focus on what they do best.We are on the lookout for a talented and self-motivated Senior Software Engineer to become a key member of our expanding engineering team. This is an exciting opportunity for individuals who thrive in a dynamic and collaborative environment and are eager to engage in full-stack development, addressing a wide array of technical challenges.Job Responsibilities:As a Senior Software Engineer at Trace Machina, you will undertake a variety of projects that span our entire technology stack, from backend services to frontend interfaces. You will play a crucial role in building, scaling, and maintaining our NativeLink platform, working closely with a diverse team to tackle complex challenges that have a direct impact on our customers. This role demands a strong foundation in software development, a commitment to continuous learning, and the capability to navigate different aspects of our system.Design, develop, and maintain full-stack applications across various components of the NativeLink platform.Engage in both backend and frontend tasks, adapting focus based on project requirements.Construct and scale high-performance systems that enhance software compilation, testing, and infrastructure management.Collaborate with fellow engineers to address intricate technical challenges and improve overall system performance.Develop, test, and deploy new features that enrich the NativeLink user experience and performance.Troubleshoot, debug, and optimize existing systems for scalability and reliability.Participate in code reviews and contribute to knowledge sharing and mentorship within the engineering team.Engage in our agile development processes, including sprint planning and retrospectives.

Company Overview:At Trace Machina, we are committed to revolutionizing the software development lifecycle with innovative tools such as NativeLink, our robust build caching and remote execution system. NativeLink streamlines build and test processes, allowing developers to save time and reduce infrastructure expenses by intelligently caching build artifacts and distributing tasks across various machines. We are on a mission to empower developers with state-of-the-art tools, and we seek a passionate Developer Advocate specializing in Swift to represent our product within the broader Swift and iOS development community.Position Overview:We are in search of a Developer Advocate who is enthusiastic about Swift and is dedicated to assisting developers in achieving faster, more efficient workflows using NativeLink. In this role, you will serve as a champion for Swift developers, producing captivating content, engaging with the community, and facilitating the adoption of NativeLink to elevate their build processes. Your collaboration with our product, engineering, and marketing teams will be crucial in promoting best practices, crafting technical content, creating videos, and presenting at conferences. Your efforts will empower Swift developers to unlock new possibilities in their projects.As a Developer Advocate at Trace Machina, you will:Engage with the Swift Community: Represent Trace Machina across various developer forums, including Stack Overflow, Reddit, Dev.to, GitHub, and other Swift-related platforms. Provide support, answer queries, and collect feedback on how developers are utilizing NativeLink to optimize their workflows.Content Creation: Generate high-quality technical content such as blog posts, tutorials, documentation, and educational videos to assist developers in maximizing their use of NativeLink, especially for Swift projects.Public Speaking: Present at Swift and iOS development conferences, meetups, and webinars, demonstrating how NativeLink can accelerate build times and enhance the development lifecycle for Swift developers.Program Development: Create community outreach initiatives like hackathons, challenges, and ambassador programs to motivate Swift developers to contribute to our open-source projects and actively participate in the Trace Machina community.Collaboration: Liaise closely with internal teams to communicate community feedback, helping to shape the future direction of our tools and resources.

Company Overview:At Trace Machina, we are driven by the belief that enhancing the software development lifecycle is essential for advancing technology. Our flagship product, NativeLink, is a cutting-edge build caching and remote execution system that streamlines software compilation and testing processes. By utilizing intelligent caching mechanisms and distributing tasks across several machines, NativeLink allows teams to expedite their software development while also reducing infrastructure costs. As we forge ahead with innovation, we are eager to welcome a Developer Advocate who will embody our vision and represent our extraordinary products to a diverse global developer community.Position Overview:We are in pursuit of a passionate Developer Advocate with substantial expertise in C++ and Rust, who thrives on engaging with developer communities and championing the adoption of state-of-the-art tools. This role demands an effective communicator who can resonate with developers, create insightful technical content, and showcase Trace Machina across various platforms, all while embodying kindness, efficiency, and enthusiasm. Collaborating closely with our engineering, product, and marketing divisions, you will craft engaging content, spearhead developer outreach initiatives, and empower developers with the best resources to maximize their utilization of NativeLink.As a Developer Advocate at Trace Machina, you will:Engage the Community: Serve as the face of Trace Machina in various forums including Stack Overflow, Reddit, Dev.to, GitHub, and Discord, offering support and collecting feedback from developers on their experiences with NativeLink.Content Creation: Produce comprehensive technical documentation, articulate blog posts, and develop educational videos that assist developers in understanding and effectively integrating NativeLink into their workflows. Your content will aim to foster engagement and highlight the advantages of our product.Public Speaking: Represent Trace Machina at industry conferences, meetups, and events by delivering presentations, conducting workshops, and engaging with developers in real-time. You will also facilitate webinars and live coding sessions to encourage learning.Program Development: Create and execute outreach programs, such as developer competitions, hackathons, and ambassador initiatives, that motivate community members to contribute to our open-source projects and share their experiences with NativeLink.

Your mission:Design and sustain sophisticated simulation environments for software build systems and remote execution processesDevelop performance models aimed at build caching, task distribution, and system coordination within expansive development frameworksEstablish virtual testbeds to enhance software compilation, testing workflows, and CI/CD pipeline automationImplement multi-agent simulation for real-time task coordination and resource management across decentralized build systemsUtilize Hardware-in-the-Loop (HIL) and Software-in-the-Loop (SIL) frameworks to assess build performance under real-world conditionsRefine simulation workflows to authenticate build efficiency, cache hit rates, and task execution precisionCollaborate with engineering, AI, and product teams to ensure alignment between simulation and actual software builds

About Trace Machina: Trace Machina is a rapidly expanding, forward-thinking organization that specializes in NativeLink, a cutting-edge solution for build caching and remote execution. Our innovative technology significantly enhances the software compilation and testing experience while reducing infrastructure expenditures. With a dedicated team of 20 skilled professionals, we are at the forefront of software development, streamlining build processes for diverse projects. We are seeking a proactive and seasoned Head of People to be part of our leadership team and lay the groundwork for our company's growth.Position Overview: In the role of Head of People at Trace Machina, you will have a pivotal impact on molding our company culture, driving growth, and achieving success. Collaborating closely with the executive team, your focus will be on attracting, developing, and retaining exceptional talent while nurturing a collaborative, inclusive, and high-performance environment. This is an extraordinary chance to influence the strategic trajectory of a growing company and to cultivate a people-centric culture that enables our team to excel.Key Responsibilities:Talent Acquisition: Spearhead the design and execution of recruitment strategies aimed at attracting and securing top-tier talent across all departments. Collaborate closely with hiring managers to facilitate a streamlined hiring process.Employee Experience & Retention: Cultivate a positive, inclusive, and transparent workplace culture where employees are appreciated, motivated, and engaged. Formulate strategies for enhancing employee retention and career advancement.People Operations: Supervise daily HR functions, encompassing onboarding, performance management, compensation and benefits, and compliance. Ensure that the company’s HR practices are in alignment with its mission and values.Leadership Development: Collaborate with the executive team to pinpoint leadership development needs, design programs for leadership enhancement, and implement a performance feedback system consistent with Trace Machina’s culture and values.Culture & Values: Advocate for Trace Machina’s culture by integrating company values into every facet of the employee experience. Lead initiatives to foster and maintain a positive, high-performance, and transparent work atmosphere.HR Strategy: Provide counsel to leadership on people-related matters, offering data-driven insights and suggestions to enhance workforce planning, organizational design, and employee engagement.Scalability: Develop and implement strategic plans to ensure organizational scalability and adaptability.

About Trace LabsTrace Labs is at the forefront of creating a transformative data marketplace for physical AI.With the potential to revolutionize industries through robotics and embodied systems capable of perceiving, moving, and interacting with their surroundings, physical AI faces a significant challenge: the lack of a scalable solution for gathering high-quality, real-world training data. Unlike language models, which benefit from vast data pools, frontier robotics models are often trained on far less data due to the absence of an equivalent 'internet of robotics data.'Trace Labs aims to change this dynamic.We are building the essential infrastructure required to capture and convert real-world data from humans engaged in physical tasks, transforming it into valuable training data for robotics systems, embodied AI models, and other AI technologies operating in the physical realm.By succeeding in this mission, we will significantly accelerate the advancement of physical AI, broadening the capabilities of these systems to operate safely and reliably in the real world. Our platform is designed to accommodate various data formats, capture workflows, and evolving customer needs. What we capture today is just the beginning.If you aspire to join an innovative company that is shaping the future of how robots learn to perform tasks, we encourage you to continue reading.Why Join Trace Labs?Impactful Mission: Physical AI is set to redefine entire sectors, but it cannot achieve its potential without real-world data. Trace Labs is tackling one of the primary barriers to progress in this field.Proven Growth: We have active pilot projects and increasing demand from both sides of our marketplace.Experienced Team: Our team comprises former founders, PhDs, and operators with a successful history of building and scaling ventures together.Ownership and Influence: This is a unique early-stage opportunity. Your contributions will significantly impact the product, systems, and strategic direction of the company.Foundational Infrastructure: We are establishing core systems that will support numerous future products and applications as physical AI evolves.The RoleAs a Partnerships Manager, you will be responsible for identifying and securing new capture partners, such as industrial and home services companies, who will receive compensation from Trace Labs in exchange for access to multimodal data, including videos that demonstrate real-world work processes.

About Trace LabsAt Trace Labs, we are pioneering the data marketplace for Physical AI, a groundbreaking field poised to revolutionize the way work is conducted in real-world environments. From advanced robotics to AI systems that perceive, move, and engage with their surroundings, the potential is immense. However, a major obstacle lies in the current inability to effectively gather high-quality, real-world training data. Traditional robotics models are trained on significantly less data compared to language models, as there is no equivalent to an 'internet of robotics data.'Trace Labs is here to change that narrative.We are developing the essential infrastructure required to capture and convert real-world data generated by humans engaged in physical tasks, transforming it into invaluable training data for robotics, embodied AI models, and other systems that function in the physical domain.Success in our mission will not only accelerate the evolution of Physical AI but also enhance the safe and reliable capabilities of these systems in the world. Our platform is designed to accommodate a variety of data formats, capture workflows, and evolving customer needs. What we gather today is merely the beginning.If you aspire to be one of the first hires in a company that is defining how robots learn to work, we encourage you to keep reading.Why Join Trace Labs?A transformative challenge: Physical AI has the potential to reshape entire industries, yet it cannot achieve scalability without robust real-world data. Trace Labs is tackling one of the fundamental constraints that hinder progress in this field.Real momentum: We have active pilots and increasing demand on both sides of our marketplace.A skilled and cohesive team: Our team comprises experienced founders, PhDs, and operators with a proven track record of building and scaling ventures together.Ownership of your work: As an early team member, your contributions will significantly influence our product, systems, and overall direction.A foundational platform: We are constructing core infrastructure that will facilitate numerous future products and applications as Physical AI advances.The RoleAs an Operations Manager, you will play a critical role in ensuring the smooth functioning of Trace Labs in real-world environments. The success of our data capture operations directly influences the scalability of our company; when these processes run seamlessly, we thrive, but any disruption can lead to slowdowns.

About Trace Machina:Trace Machina is transforming the software development lifecycle through its innovative product, NativeLink. This high-performance build caching and remote execution system enhances software compilation and testing processes while also minimizing infrastructure costs. Our mission is to empower organizations, irrespective of their size, to optimize and streamline their build workflows effectively.We are on the lookout for a talented Consulting Build Engineer to become a vital part of our team. In this pivotal role, you will engage directly with clients to comprehend their build environments, provide expert guidance, and implement NativeLink’s solutions to optimize their development and CI/CD pipelines.Job Description:As a Consulting Build Engineer at Trace Machina, you will serve as the essential link between our technical team and our clients. Your responsibilities will include ensuring the smooth integration of NativeLink across various environments. You will collaborate closely with clients to analyze their build processes, offer expert recommendations, and enhance their systems for improved performance, scalability, and reliability. This is a client-facing position that demands a robust technical background in build systems, exceptional problem-solving capabilities, and outstanding communication skills.Job Responsibilities:Serve as the primary technical consultant for clients, understanding their build infrastructure and processes.Evaluate customer build systems and provide expert advice for optimization using NativeLink’s solutions.Configure and integrate NativeLink within client environments, both on-premise and cloud-based.Diagnose and resolve issues related to build performance, caching, and execution across diverse environments.Collaborate with clients to establish success criteria, monitor project milestones, and deliver measurable results.Work alongside product development and engineering teams to relay customer feedback and enhance NativeLink.Conduct training sessions and workshops for clients to maximize their understanding and utilization of NativeLink.Provide ongoing client support, including troubleshooting, performance tuning, and optimization recommendations.Document best practices, case studies, and solutions for future reference and team sharing.

Description Sprout Social is seeking a seasoned Senior Applied AI/ML Scientist to enhance our AI, Data, and Intelligence Business Unit. Why become a part of Sprout Social’s Data Science and AI team? At Sprout Social, we empower businesses globally to leverage the vast potential of social media in a digital-first landscape. Our platform processes over one billion social messages daily, delivering vital insights and actionable intelligence to more than 30,000 brands. This enables informed strategic decisions that propel business growth, foster innovation, and cultivate genuine connections with their customers. Our comprehensive suite of social media management solutions encompasses publishing, engagement features, customer care, influencer marketing, streamlined workflows, and business intelligence. We are actively integrating AI into our products and utilizing it internally to accelerate our business growth. Your Responsibilities Lead the design, development, and deployment of customer-centric features utilizing data science, machine learning (ML), and generative AI technologies. Deliver measurable impact on Sprout Social’s primary AI initiatives, enhancing customer experience and driving significant business outcomes. Create robust frameworks for assessing and measuring AI features to enhance speed, improve quality, and demonstrate ROI of product advancements. Collaborate effectively with product management, design, and software engineering teams to deliver high-quality AI solutions swiftly and confidently. Communicate AI capabilities, limitations, and product implications effectively, ensuring alignment among technical possibilities, customer needs, and product vision. Your Qualifications We are looking for a highly skilled and experienced AI/ML scientist who thrives on challenges, maintains a growth mindset, and is eager to collaborate with diverse stakeholders to deliver data-driven solutions for business leaders and Sprout Social’s customers. If you excel in experimenting with and applying AI/ML techniques, continuously enhancing capabilities, and driving innovation with a focus on customer value, we would love to connect with you! The minimum qualifications for this role include: A proven track record of leading customer-focused development of AI/ML solutions that resulted in quantifiable business impact.

Eurofins Scientific seeks a Scientist specializing in Trace Analysis and Structural Chemistry for its Columbia location. This position centers on advanced analytical work that underpins research and development projects. Key responsibilities Conduct trace analysis and structural chemistry experiments to support scientific research. Deliver reliable analytical results for internal and external clients. Collaborate with a team dedicated to advancing scientific knowledge. Collaboration The role works closely with colleagues who share a commitment to scientific excellence and dependable outcomes. Teamwork and open communication are essential to success in this environment. Location This position is based in Columbia.

About the RoleSprout Social is seeking a talented Applied AI/ML Scientist to be a pivotal part of our AI Business Unit. In this role, you will engage in the design and implementation of cutting-edge customer-centric features utilizing data science, machine learning (ML), and generative AI technologies.Why Join Sprout Social’s Data Science and AI Team?At Sprout Social, we empower businesses to leverage the vast potential of social media in today's digital landscape. Our platform processes over 1 billion social messages daily, providing essential insights to over 30,000 brands. We drive strategic decisions that enhance business growth and foster authentic customer connections. Our comprehensive suite encompasses publishing, engagement solutions, customer care, influencer marketing, and business intelligence. We are committed to seamlessly integrating AI into our products and internal processes to accelerate our growth trajectory.Your ResponsibilitiesDesign and deploy innovative AI-driven features focused on customer needs.Contribute to impactful AI initiatives that benefit both our customers and our business goals.Establish robust evaluation frameworks for AI features, ensuring demonstrable ROI on product enhancements.Collaborate with product management, design, and engineering teams to deliver high-quality AI solutions efficiently.Communicate clearly about AI capabilities and limitations, aligning technical possibilities with customer needs and product vision.

(ID: 2025-0402)Join Axle - Pioneers in Bioscience and IT Innovation! Axle is a leading bioscience and information technology firm dedicated to driving advancements in translational research, biomedical informatics, and data science for research centers and healthcare entities both nationally and internationally. Our team of experts in biomedical science, software engineering, and program management focuses on creating and utilizing innovative research tools and methodologies to facilitate informed decision-making and expedite research breakthroughs. We proudly collaborate with premier research institutions, including multiple divisions of the National Institutes of Health (NIH). Your Role: We are looking for a talented AI/ML Scientist/Developer to become a vital part of our dynamic team supporting the Standardized Organoid Model Center at the National Institutes of Health (NIH) in Frederick, MD. This NIH-funded initiative aims to enhance organoid research by developing validated, reproducible, and well-characterized organoid models. You will collaborate with interdisciplinary teams to establish standardized protocols, implement quality control measures, and create invaluable resources for the broader organoid research community.

At Runway, we are at the forefront of merging art and science to develop advanced AI technologies that simulate the world around us.We believe that creating world models is essential for advancing artificial intelligence, as traditional language models cannot tackle society's most pressing challenges—such as robotics, health crises, and groundbreaking scientific discoveries. By leveraging simulation to accelerate learning through trial and error, we can achieve unprecedented advancements in these fields.Our vision is to transform storytelling, scientific exploration, and humanity's future through the power of world models.We pride ourselves on our team of innovative, empathetic, and driven individuals who are committed to making a significant impact. If you share our passion for pushing boundaries and achieving the impossible, we invite you to join us.Role OverviewWe are seeking a skilled Data Engineer to enhance and expand the data infrastructure that underpins our AI research and business intelligence efforts. In this pivotal role, you will oversee crucial data pipelines that connect production databases, analytics warehouses, and extensive machine learning training datasets. Your expertise will bridge data engineering, ML infrastructure, and analytics, empowering both cutting-edge research and data-driven business strategies.You will tackle complex challenges at scale, including managing billions of rows of multimodal training data, constructing CDC streams from production systems, optimizing vector databases for ML workflows, and laying down the foundational data layer that supports our entire organization.Technical Stack InsightsOur data infrastructure incorporates a variety of specialized systems, including LanceDB for vector storage and dataset versioning with multimodal training data, ClickHouse as our analytics warehouse that receives CDC streams from production Postgres through AWS Kinesis, and BigQuery for training run logs and evaluation results. We utilize Ray for large-scale distributed data processing on managed Kubernetes clusters, which handle preprocessing, feature generation, and dataset curation at scale.We are actively enhancing our data platform by implementing dbt for standardized transformations, refining dataset versioning and data lineage tracking, scaling data sourcing pipelines, and establishing robust data quality practices. We employ Prometheus and Grafana for monitoring, alongside Terraform for infrastructure management. This role offers the chance to introduce best practices and cutting-edge technologies into our evolving data landscape.

Join Cerebras Systems as an AI/ML Research Scientist and be part of a pioneering team at the forefront of advanced technology. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop innovative solutions that will revolutionize the field. Collaborate with top-tier researchers and engineers to push the boundaries of what's possible.

About Nightfall:Nightfall is an innovative, AI-driven platform specializing in unified data loss prevention and insider risk management. We secure sensitive data across various environments, including SaaS applications, Generative AI tools, email, and endpoint devices. Trusted by numerous clients, from AI pioneers to Fortune 10 banks, Nightfall empowers organizations to innovate safely, mitigating the risks associated with data loss and intellectual property exposure. Our intelligent platform automates data loss prevention, allowing security teams to focus on strategic initiatives by resolving security violations proactively and providing real-time training to users.Our endeavors are supported by top-tier venture capital firms such as Bain Capital Ventures, Venrock, WestBridge Capital, and Pear VC, alongside cybersecurity leaders including Frederic Kerrest, Maynard Webb, Ryan Carlson, and Kevin Mandia.About the Role:We seek a highly skilled technical leader to join our expanding team at Nightfall. As the Lead AI/ML Data Scientist within the AI Engineering organization, you will be pivotal in developing ML/NLP models and Generative AI solutions that enhance our Data Loss Prevention (DLP) and security products. This role involves spearheading research and applying advanced machine learning techniques to address security challenges, while guiding ML and backend engineers in deploying systems into production. You will also be instrumental in shaping the future architecture of our AI platform.This position is hybrid, requiring three days in the office at our Palo Alto, California location, and represents a fantastic opportunity for those passionate about data science and machine learning engineering.

(ID: 2025-0404)Join Axle, a pioneering company at the intersection of bioscience and information technology. We specialize in innovative solutions for translational research, biomedical informatics, and advanced data science applications, serving research centers and healthcare organizations both domestically and internationally. Our team, composed of experts in biomedical science, software engineering, and program management, is dedicated to developing cutting-edge research tools and techniques that enhance decision-making and expedite scientific discoveries. Collaborate with leading research institutions, including multiple National Institutes of Health (NIH) facilities. We are looking for a Computational Scientist - AI/ML for Omics Integration to leverage advanced AI and ML techniques to integrate diverse multi-omics datasets, enabling comprehensive characterization and quality assessment of organoids. This role, based in Frederick, MD at the Standardized Organoid Model Center, will focus on developing sophisticated computational frameworks to evaluate organoid fidelity, predict functional outcomes, and determine optimal culture conditions through innovative data integration strategies.

About UsWealth.com stands at the forefront of estate planning technology, empowering over 1,000 wealth management firms to revolutionize their client interactions regarding estate planning. As the only technology-driven, comprehensive platform tailored specifically for financial institutions, Wealth.com enables firms to achieve scalability, efficiency, and measurable impacts for their clients. Endorsed by some of the biggest names in finance, Wealth.com integrates proprietary AI, robust security, and profound technological and legal expertise to address a full spectrum of client needs—from foundational plans to intricate estate strategies. The company has garnered accolades for its innovation and leadership, winning Top Estate Planning Technology and Top Estate Planning Implementation at the 2025 WealthManagement.com Industry Awards, being recognized as the 2024 Best Technology Provider in the Trust category, and achieving the #1 position in estate planning market share according to the 2025 Kitces AdvisorTech Study.Our team is pivotal to our reputation as the leading estate planning platform. We foster a collaborative and supportive environment that encourages innovation, making Wealth.com a truly rewarding workplace. We are proud to have been certified as a Great Place to Work for 2025.The RoleWe are on the lookout for a Senior Applied Scientist with a robust software engineering background to create the next generation of legal and financial AI systems. In this position, you will transition from theoretical frameworks to the practical implementation of building, scaling, and maintaining resilient, production-level AI systems. You will engage in diverse projects ranging from intricate document analysis to the crafting of advanced AI agents that will transform the estate planning landscape.Your primary focus will be on the 'how'—specifically, how to effectively utilize cutting-edge models in real-world applications, how to construct scalable and secure systems that address their constraints, and how to launch products that provide tangible value to our users.What You Will Do:Design, build, and deploy production-quality systems utilizing Large Language Models (LL...)

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.