Staff Machine Learning Engineer - Generative AI

Xometry (NASDAQ: XMTR) is at the forefront of innovation, bridging the gap between visionary thinkers and the manufacturers who actualize their ideas. Our cutting-edge digital marketplace equips manufacturers with vital resources to scale their businesses while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are on the lookout for a Principal Data & ML Scientist to join our Generative AI team. The perfect candidate will be enthusiastic about driving advancements in machine learning and generative AI, especially in fine-tuning generative and language models, multimodal document comprehension, and structured data extraction. You will utilize your deep knowledge of generative models and data science to create and refine innovative AI-driven solutions that elevate Xometry's service offerings.

Join Our TeamStep into a pivotal role at Evolv Technology as a Senior AI/Machine Learning Engineer, where you will spearhead innovations in AI-driven physical security solutions. As a vital member of our AI/ML team, you will design and implement cutting-edge machine learning and deep learning systems. Your expertise will be instrumental in harnessing various data sources, including magnetic sensors and 3D cameras, to develop real-time multi-sensor fusion solutions suitable for constrained hardware environments. This hands-on position demands profound knowledge in classical ML, deep learning, feature engineering, model optimization, and MLOps.In this role, you will not only build models but also enhance their accuracy and resilience, ensuring they perform reliably in real-world applications. This position is ideal for those who have a track record of making measurable improvements to machine learning models.

Xometry (NASDAQ: XMTR) connects problem-solvers with manufacturers to bring new ideas to market. The company’s digital marketplace offers manufacturers growth tools and gives buyers, including Fortune 1000 firms, access to global production resources. Role overview The Senior Staff Software Engineer will join the core machine learning and data platform engineering team in Waltham, MA. This group builds and maintains the infrastructure behind Xometry’s AI and ML solutions, such as the Instant Quoting Engine®, Computational Geometry Service, and other data-driven products that support the marketplace. What you will do Collaborate with AI leadership to strengthen and expand the core infrastructure for AI and ML initiatives Deliver essential components that power the Xometry ecosystem, focusing on hands-on engineering Support and improve data products that drive marketplace operations Take ownership of projects and contribute to ongoing platform development Encourage innovation and help shape the future of Xometry’s technology Location This role is based in Waltham, MA.

Xometry (NASDAQ: XMTR) is at the forefront of innovation, bridging the gap between visionary thinkers and the manufacturers capable of turning those ideas into reality. Our digital marketplace equips manufacturers with essential resources to expand their operations while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.Are you an ambitious college student looking to make a significant impact within a leading technology firm? Join Xometry's Summer Internship Program to gain invaluable hands-on experience and cultivate key skills in the manufacturing sector.As a Machine Learning Intern at Xometry, you'll tackle real-world challenges that influence our AI solutions, collaborate with seasoned machine learning engineers, and gain insights on creating and deploying models that address intricate problems in a vibrant and fast-paced setting.

Xometry (NASDAQ: XMTR) is at the forefront of innovation, transforming industries by linking visionary thinkers with manufacturers capable of turning ideas into reality. Our digital marketplace equips manufacturers with essential resources for business growth while simplifying access to global manufacturing capabilities for Fortune 1000 companies.We are on the lookout for a Senior Principal, Machine Learning & Artificial Intelligence to join our dynamic team. In this pivotal role, you will lead the charge on significant, cross-functional ML/AI initiatives, driving substantial and enduring business impact. Your responsibilities will include steering a comprehensive 18- to 24-month technical roadmap that harmonizes cutting-edge innovation with tangible business value. Collaborating closely with engineering, product, design, manufacturing operations, and business leadership, you will influence partner roadmaps and resource allocation. As a respected subject-matter expert, you will proactively eliminate obstacles for teams and tackle challenges beyond your immediate domain. Your focus will be on identifying and spearheading initiatives that foster revenue growth, reduce costs, enhance efficiency, and establish competitive differentiation—particularly in areas such as 2D/3D part understanding, generative AI, and advanced machine-learning platforms.

We are seeking a highly skilled Senior Application Engineer to join our dynamic team at Xometry. In this role, you will leverage your expertise in CNC machining to design, implement, and optimize complex applications that meet our client's needs. You will be responsible for collaborating with cross-functional teams to ensure the highest standards of quality and efficiency in our manufacturing processes.

At Xometry (NASDAQ: XMTR), we are at the forefront of innovation, connecting visionary thinkers with the manufacturers capable of transforming their ideas into reality. Our digital marketplace empowers manufacturers with essential resources for growth while enabling Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are on the lookout for a Principal Software Engineer to spearhead the technical design and engineering of advanced systems aimed at predicting and resolving challenges in the manufacturing of our clients' parts. Your expertise will combine machine learning model predictions, part geometry data, and customer insights to enhance our ability to forecast manufacturing costs and identify suitable partners for successful part production. While previous experience in manufacturing or machine learning is beneficial, it is not a prerequisite.The successful candidate will bring at least 8 years of industry experience, with a minimum of 4 years in a technical leadership role within a dynamic, collaborative environment. This position requires a blend of technical leadership and hands-on contributions. Our teams thrive on collaboration, cross-functionality, and a rapid pace of innovation.

Location: Waltham, MA (Hybrid) At ERGO NEXT, our mission is to empower entrepreneurs and help them flourish. As the industry's only technology-driven, full-service provider of small business insurance, we are revolutionizing the customer experience by taking on the entire value chain. Simply put, wherever there are small businesses, you'll find ERGO NEXT. Since our inception in 2016, we have provided hundreds of thousands of small business customers across the United States with quick, tailored, and affordable coverage. Supported by leaders in insurance and technology, we are poised for further growth—and that's where you come in. Key Responsibilities: Lead and mentor a proficient team of AI and backend engineers. Manage project delivery from initial requirements to deployment. Offer technical direction, evaluate designs, and assist in hands-on development when necessary. Set priorities and collaborate with product and cross-functional teams. Establish clear processes for project planning, execution, and quality assurance. Maintain focus and clarity in dynamic or ambiguous situations. Encourage innovation in AI architecture, tools, and workflows; identify areas for enhancement and proactively drive new initiatives. Foster a culture of experimentation, learning, and continuous improvement.

Anduril Industries develops advanced defense technology for the United States and allied nations. The company blends experience from top technology companies with new methods for building military systems. Areas of focus include autonomy, artificial intelligence, computer vision, sensor fusion, and networking. Anduril’s products operate on Lattice OS, a platform that transforms large data streams into interactive 3D command and control centers. The research team designs algorithms and software that address scientific challenges with real-world impact. Projects move from concept to deployment, with research considered complete only when it is integrated into mission-critical systems for government and industry clients. Collaboration and practical results are core values for the team. Role overview Lead and mentor a small team by providing technical guidance and expertise. Develop mathematically sound solutions to complex information science problems. Prototype new algorithms as part of an agile software development cycle. Build high-performance software, ranging from tactical systems to web applications. Use modeling and simulation tools to demonstrate the effectiveness of new technology. Engage directly with clients to support their mission objectives. Communicate technical work and its impact clearly to both colleagues and clients. Location This Senior Research Scientist position is based in Waltham, Massachusetts, United States.

At ZoomInfo, we are dedicated to accelerating careers. Our fast-paced environment encourages bold thinking and empowers you to produce your best work. You will collaborate with passionate teammates who challenge one another and celebrate achievements together. With tools that enhance your contributions and a culture that supports your aspirations, you won’t just be part of the team—you’ll be instrumental in driving results. Principal Software Engineer, Applied AILocation: Remote or HybridTeam: Applied AILevel: PrincipalJoin Us in Reimagining B2B IntelligenceAt ZoomInfo, we are building the future of B2B marketing intelligence—and we’re seeking engineers who are eager to help shape that future.As a Principal Engineer on our Advertising, Company Intelligence, and Intent team, you will design and implement the fundamental systems powering our real-time marketing platform. From high-throughput advertising infrastructure to large-scale identity resolution and intelligent systems enhanced by LLMs, you will push the limits of scale, intelligence, and speed—delivering tangible business impact.Join a team engaged in a diverse array of ambitious, technically challenging projects—from APIs that process tens of billions of events daily to innovative buyer intent algorithms powered by LLMs, and a unified B2B identity graph. Based on your strengths and interests, you will be aligned with initiatives where you can make the most significant impact.This is a high-growth, high-ownership environment operating at the forefront of modern software engineering, data infrastructure, and applied AI.What You’ll DoDesign and build distributed systems capable of processing, enriching, and responding to billions of behavioral events in real-time.Develop high-performance APIs and services that support advertising, identity, and intent functionalities across the Marketing Platform.Utilize machine learning and large language models (LLMs) to analyze behavioral data, classify content, extract signals, and facilitate intelligent decision-making.Construct intelligent agents using frameworks like LangGraph or MCP to reason over data and power user-facing insights.Design and manage data pipelines employing tools such as Kafka, Kinesis, and ClickHouse to support both streaming and batch workloads.Ensure quality, performance, scalability, and observability across all systems you oversee.Collaborate cross-functionally with product managers, data scientists, and engineers to deliver customer-facing features.

Internship Title: SQA Automation InternThe Elevator PitchAre you passionate about tackling intricate technical challenges and developing automation that enhances the efficiency, speed, and reliability of testing? If you're excited about working with cutting-edge AI and machine learning systems functioning in safety-critical environments, we want to hear from you!Evolv is on the lookout for an SQA Automation Intern to become a vital part of our Software Quality Assurance team. Over the course of this 10-week internship, you will engage in the design and construction of embedded hardware and Python-driven automation tools, which are essential for supporting the functional and stress testing of Evolv’s Express weapons detection system. This role will span the entire engineering lifecycle—from gathering requirements and design to implementation, CI/CD integration, and final presentation—while working hand-in-hand with teams across Quality, Software, Hardware, and Systems Engineering.This internship offers hands-on experience in delivering a production-impacting automation solution and a chance to significantly contribute to Evolv’s mission of enhancing public safety in shared spaces.Success in the Role: Key Performance OutcomesWeeks 1-2: Onboarding & FoundationsInitiate the project by collaborating with the SQA team to understand objectives, scope, and success metrics.Gain insight into Evolv’s mission, product offerings, and engineering ethos.Familiarize yourself with the Express weapons detection system and its quality standards.Accelerate your understanding of existing test tools, automation frameworks, and hardware capabilities.Gather, document, and review requirements for a next-generation automated testing tool.Identify current testing challenges and quality goals.Weeks 3-8: Build & IterateCreate hardware and software design specifications for the automation solution.Recognize technical constraints and refine the platform and architecture for successful implementation.Document integration details, interfaces, and dependencies.Implement services on an embedded platform (e.g., Raspberry Pi or similar).Develop and test a functioning prototype featuring core functionalities.Integrate the solution into Evolv’s CI/CD pipelines and test automation harnesses.Work closely with Quality, Software, Hardware, and Systems Engineering teams.Refine the solution based on testing feedback and results.Weeks 9-10: Deliver & PresentDebug and resolve defects; validate the solution against documented requirements.Finalize, package, and deploy a production-ready automated testing solution.Check final code into CI/CD and complete supporting documentation in Confluence.Contribute actively to the quality validation of production software releases.Prepare and deliver a comprehensive presentation of your work to stakeholders.

At Xometry (NASDAQ: XMTR), we are transforming how industries operate by connecting innovative thinkers with manufacturers who can turn their concepts into reality. Our digital marketplace empowers manufacturers with essential resources for growth while facilitating Fortune 1000 companies in accessing global manufacturing capabilities.We are on the lookout for an experienced Staff Software Engineer to become a key member of our software engineering team. In this role, you will collaborate with a talented group to develop and sustain solutions for our Post Order/Order Management team. Your contributions will be vital to the robustness, scalability, and security of the Xometry platform.Key Responsibilities:Technical Leadership: You will be responsible for drafting and reviewing architectural designs for new initiatives, as well as actively participating in their implementation alongside the team.Innovation Guidance: Advocate for a balanced blend of traditional and modern technologies and methodologies. Your expertise will help us evolve from established practices when necessary while reinforcing our current technologies.Mentorship: Act as a mentor and guide for engineers throughout the organization, fostering their professional development.Code Reviews: Conduct code reviews and guide others in the organization to perform effective code evaluations.

Xometry (NASDAQ: XMTR) is at the forefront of innovation, connecting visionary thinkers with manufacturers equipped to turn their concepts into reality. Our digital marketplace empowers manufacturers with essential resources for growth, while facilitating access to global manufacturing capabilities for buyers from Fortune 1000 companies.We are currently searching for a Senior Data Scientist to join our dynamic sourcing team. The ideal candidate will possess a strong enthusiasm for applying machine learning techniques to build, refine, and assess predictive models that forecast various business outcomes. This role requires a deep understanding of probability and statistics to draw meaningful and defensible insights from data.

New England Donor Services seeks an Assistant General Counsel based in Waltham. This position supports the organization’s legal operations and helps maintain compliance with relevant laws and regulations. Key responsibilities Provide guidance on legal issues that affect the organization Assist in compliance across multiple regulatory areas Work to keep policies and practices aligned with current legal requirements Role focus This role centers on advising internal teams, supporting compliance efforts, and helping the organization navigate evolving legal standards in its field.

Xometry (NASDAQ: XMTR) is at the forefront of innovation, connecting visionary thinkers with manufacturers who turn ideas into reality. Our digital marketplace equips manufacturers with essential resources to expand their operations, while enabling buyers from Fortune 1000 companies to leverage global manufacturing capabilities seamlessly.We are looking for a Staff Software Engineer to join our Buyer Experience technology team. In this pivotal role as a senior individual contributor, you will lead software implementation across diverse engineering teams and make a significant impact within our technology organization. Your expertise will be instrumental in developing fast, reliable, and user-friendly solutions for buyers in our manufacturing marketplace.

Join Our Team!Become a pivotal member of the Evolv Machine Learning & Sensors team as a Senior Data Scientist. In this role, you will delve into sensor data, explore feature spaces, and ensure data quality that fuels our cutting-edge AI/ML systems. This hands-on position focuses on representation analysis, extracting exploratory data insights, and implementing data-centric enhancements that significantly elevate model accuracy, robustness, and generalization. You will navigate through classical ML and deep learning pipelines to uncover blind spots, diagnose data challenges, and shape effective data curation and collection strategies.Your Path to Success: Key Outcomes in the First YearFirst 30 Days:Gain a comprehensive understanding of Evolv’s sensor ecosystem, datasets, and ML pipelines.Analyze dataset structure, labeling processes, and existing exploratory data analyses.Conduct initial UMAP/PCA/t-SNE analyses to visualize data distributions and detect anomalies.Spot opportunities to enhance data quality, labeling consistency, and dataset coverage.First 90 Days:Engage in deep representation analysis across sensor, time-series, and feature data.Evaluate classical ML and deep learning models by correlating model errors with data quality issues.Establish data quality metrics and initial dataset acceptance criteria.Collaborate with data collection teams to inform targeted data acquisition and relabeling efforts.Mine existing field data to recognize patterns and derive actionable insights.Devise methodologies to enhance data quality, transforming noisy or unverified data into clean, validated datasets.End of Year Goals:Own data-driven insights that lead to measurable improvements in ML model performance.Establish continuous monitoring for data drift, blind spots, and label quality.Offer strategic direction for future data collection, annotation, and curation.Create automated tools and dashboards for data quality reporting and representation analysis.Your Daily ResponsibilitiesData Understanding & Representation Analysis:Analyze high-dimensional sensor and feature data utilizing UMAP, t-SNE, PCA, and similar techniques.Identify clusters, outliers, distribution gaps, and blind spots within various classes and environments.Diagnose dataset shifts, domain mismatches, sparsity, and representation collapse.Model-Aware Data Analysis:Conduct data analyses that align with both classical ML models (XGBoost, SVR, k-NN, tree-based models) and deep learning frameworks (CNNs, Transformers).Investigate embeddings, confusion matrices, and failure cases to connect model issues back to data causes.Join Us at Evolv TechnologyAt Evolv Technology, we are dedicated to revolutionizing the way people experience spaces through intelligent sensor technology and advanced machine learning. We foster a collaborative environment where creativity and innovation thrive. Join us as we push the boundaries of technology to create safer and more efficient environments.

Join Our TeamWe invite you to become a vital part of Evolv as a Senior Data Infrastructure Engineer within our Machine Learning & Sensors organization. This pivotal role entails the design, construction, and maintenance of robust, secure, and scalable data pipelines that drive our AI/ML research and production systems. You will take charge of the complete data lifecycle—from ingestion across thousands to millions of edge devices, through cloud processing, to a centralized data factory that supports model training, evaluation, and ongoing enhancement.Data is at the core of our mission to revolutionize AI-based weapon detection systems. Your expertise will ensure seamless data flow across various geographies, devices, and cloud systems, while adhering to stringent standards for quality, privacy, security, and scalability. This position is perfect for someone who is passionate about the intersection of distributed systems, cloud pipelines, and ML-driven data requirements.Success in the Role: Your First YearIn the first 30 days:Gain an in-depth understanding of our existing edge-to-cloud data pipelines and deployment environments.Evaluate current data ingestion processes, governance frameworks, and cloud infrastructure.Identify challenges related to data reliability, quality, and operational scalability.Establish rapport with AI/ML, data science, field operations, and cloud engineering teams.Design and prototype both cloud and edge data processing pipelines.Within the first three months:Implement enhancements to critical ingestion, validation, and processing pipelines.Deploy scalable data pipelines using AWS components such as S3, EC2, Lambda, Glue, Step Functions, and SageMaker integrations.Develop automated validation workflows to identify data corruption, missing metadata, or malformed data.Create automated model evaluation, training, and improvement pipelines to accelerate experimentation.Collaborate with field operations to enhance data reliability, observability, and coverage.By the end of the first year:Oversee the entire lifecycle of mission-critical data pipelines that support AI/ML research and production.Architect advanced edge-to-cloud data systems capable of scaling across millions of devices.Establish and enforce data governance frameworks, including retention, access control, privacy, and lineage.Enable ML teams to quickly conduct experiments with high-quality, discoverable, versioned datasets.

Location: Waltham, MA (Hybrid – 3 days in office) Next Insurance is looking for a Backend Engineer to join the Development Experience Team. This position centers on platform engineering, with a focus on supporting U.S.-based teams and connecting their needs with global infrastructure projects. Role overview This role takes a lead position in shaping the strategy for an Agentic (AI-based) Software Development Life Cycle. The goal is to move beyond simple automation and build a future where AI agents support every stage of the SDLC, from design to deployment. Deep backend coding skills are essential, as the work will directly influence how U.S. engineering teams adopt and benefit from these AI-driven tools. Key responsibilities Act as a technical anchor for local platform engineering initiatives. Bridge U.S. engineering needs with global infrastructure efforts. Architect and maintain Next Insurance’s cloud-only infrastructure, treating the platform as a product. Identify platform challenges and lead projects that improve developer experience and drive business value. What you will work on Develop and refine tools and processes to enhance the software development life cycle using AI agents. Work across a wide range of cloud and application infrastructure technologies. Collaborate with engineering teams to understand pain points and deliver solutions that make daily work more efficient. Since 2016, Next Insurance has provided fast, customized, and affordable coverage to small businesses across the U.S. The company continues to grow with support from leaders in both insurance and technology, aiming to transform the customer experience and empower entrepreneurs everywhere.

At ZoomInfo, we believe in accelerating careers through innovation and collaboration. We operate with agility, challenge conventional thinking, and empower you to produce exceptional work. You will join a team that values support, challenges norms, and celebrates collective achievements. With the right tools and a culture that nurtures your ambitions, you will not just contribute; you will drive impactful change swiftly.The Opportunity:ZoomInfo has established the most advanced Go-To-Market (GTM) data acquisition infrastructure in the industry. We are now applying that same meticulous approach to the field of context engineering—an emerging discipline that determines whether AI systems yield transformative value or merely incremental enhancements.This role is pivotal in architecting the context layer that powers our AI intelligence across products such as Copilot, GTM Studio, and MarketingOS. You will revolutionize how ZoomInfo's agentic workflows access, compress, and deliver precise information at critical moments. Your work will have a profound impact across the organization: every AI interaction, every intelligent recommendation, and every autonomous agent action will rely on the context infrastructure you develop.As we transition to an AI-first product approach across the company, the context pipelines are still in their infancy, offering a unique opportunity to establish architectural standards and platform practices that will enhance value for multiple product teams in the coming years.What You'll Do:Design Context Acquisition Pipelines: You will create and optimize the methods by which ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and various data sources. Your focus will be on balancing retrieval quality with latency and cost, utilizing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while adhering to token budgets.Manage the Context Layer Platform: You will build infrastructure that serves multiple product teams—Copilot, GTM Studio, MarketingOS—as internal clients. You will set API standards, enhance developer experiences, and establish integration patterns that expedite feature delivery. You will maintain a delicate balance between providing flexible building blocks and crafting opinionated solutions that integrate best practices.Implement Quality Through Measurement: You will develop evaluation frameworks utilizing RAGAS metrics and custom benchmarks. You will monitor retrieval accuracy, context relevance, hallucination rates, and system performance in production. You will translate quality signals into architectural enhancements, collaborating closely with machine learning engineers.