Senior Staff Machine Learning Engineer - Generative AI

Xometry (NASDAQ: XMTR) drives the future of manufacturing by connecting innovative thinkers with the manufacturers who can realize their visions. Our digital marketplace equips manufacturers with essential tools for growth while enabling Fortune 1000 companies to leverage global manufacturing capabilities.We are on the lookout for a Staff Machine Learning En…

About SandboxAQSandboxAQ is an innovative and rapidly growing company dedicated to providing cutting-edge AI solutions that tackle some of the most pressing global challenges. Our Large Quantitative Models (LQMs) are instrumental in driving advancements across various sectors, including life sciences, financial services, navigation, and cybersecurity.Our diverse global team consists of experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, and engineering, all working collaboratively to push the boundaries of technology. Founded in 2022 as a spin-off from Alphabet Inc., we are backed by prominent investors and supported by a network of industry leaders.At SandboxAQ, we foster a culture of creativity, collaboration, and significant impact. By investing in our talented workforce, we aim to create a dynamic environment where individuals can thrive and contribute to solving the world's most critical challenges. Join us to further your career in a stimulating community that values entrepreneurial spirit, ownership, and transformative impact.The OpportunityThe AI Generation Engine (SAIGE) team at SandboxAQ is at the forefront of developing and validating AI-first SaaS products that utilize our Large Quantitative Models (LQMs) and innovative agentic frameworks. Operating with exceptional agility, this team bridges the gap between advanced AI research and production-grade software, enabling new applications across the organization.We are in search of a seasoned Machine Learning Engineer who will take charge of the entire ML lifecycle—from initial data exploration and model design to scalable production deployment. This role is pivotal in creating and refining AI-first products that leverage our LQMs and sophisticated frameworks.The ideal candidate will have a hands-on approach and a strong passion for overseeing the complete model development process. Key responsibilities include, but are not limited to: Data Acquisition and Curation, Infrastructure, Pre-Training, Evaluations, and Fine-Tuning. As one of the founding engineers of the SAIGE team, you will connect groundbreaking AI concepts with practical, real-world MVPs, driving impactful solutions.In this role, your primary objective will be to rapidly iterate on various potential solutions to construct and assess new models, emphasizing speed and measurable results. You will collaborate with a diverse group of software engineers and ML experts to deliver innovative products that have a transformative impact on businesses and society.

At Extreme Networks, we serve over 50,000 customers worldwide with our cutting-edge, cloud-driven networking solutions. Our clients rely on our award-winning services and exceptional support to propel their digital transformation initiatives, achieving remarkable advancements in their operations. With consistent double-digit growth each year, we are uniquely positioned to deliver scalable results.We prioritize inclusion as one of our core values, fostering a workplace that embraces diversity and cultivates an environment where every employee can thrive. Join us and be part of a team that values your unique contributions!Take the opportunity to be a part of something monumental at Extreme! As a global leader in networking, now is the perfect time to join our innovative team.Position: AI Staff Machine Learning Engineer - Generative AI, Machine Learning, Graph ML, Big DataExperience: 5 to 14 YearsWork Arrangement: Hybrid/RemoteOur AI Core group is at the forefront of developing platforms and solutions centered around Generative AI, including AI Agents, Retrieval-Augmented Generation (RAG), Knowledge Bases, Data Mining, Anomaly Detection, and fine-tuning Large Language Models (LLM). These innovations drive our flagship Extreme products while paving the way for entirely new offerings. We are committed to transforming how businesses manage networks by creating intelligent, high-performance multi-agent systems that can perceive, learn, and act in real-time. At Extreme, innovation is not just welcomed; it is expected. Join us to help shape the future of network intelligence!

At Xometry (NASDAQ: XMTR), we empower the industries of today and tomorrow by bridging innovative thinkers with manufacturers capable of making their visions a reality. Our digital marketplace equips manufacturers with essential resources for growth while allowing buyers from Fortune 1000 companies to seamlessly access global manufacturing capabilities.We are searching for a Staff Machine Learning Engineer to spearhead our Generative AI initiatives. This is a unique opportunity to redefine the future of manufacturing by leveraging advanced AI research to solve practical challenges—from multimodal document comprehension and structured data extraction from technical drawings to developing innovative reasoning methods across text, images, and 3D data. If you are enthusiastic about crafting cutting-edge AI systems and are eager to witness your contributions making a direct impact on business and customer satisfaction, we would love to hear from you.

Xometry (NASDAQ: XMTR) is at the forefront of revolutionizing manufacturing by connecting visionary thinkers with the manufacturers equipped to turn their ideas into reality. With our innovative digital marketplace, we empower manufacturers with essential resources for growth while facilitating Fortune 1000 companies in accessing global manufacturing capabilities effortlessly.We are excited to announce an opening for a Staff Machine Learning Engineer to spearhead our Generative AI initiatives. This unique position offers you the chance to shape the future of the manufacturing industry by leveraging state-of-the-art AI research to tackle real-world challenges, including multimodal document comprehension, structured data extraction from technical drawings, and innovative reasoning across text, images, and 3D data. If you are driven by the desire to create cutting-edge AI systems and witness their immediate impact on business and customer satisfaction, we encourage you to join our team.

Join our innovative team at Weave as a Senior Machine Learning Engineer specializing in Generative AI. In this pivotal role, you will spearhead the development and implementation of cutting-edge machine learning algorithms that drive our AI initiatives. Collaborate with cross-functional teams to enhance our product offerings and deliver exceptional AI-driven solutions.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

About the RoleJoin bjakcareer as we create an innovative AI system that understands context throughout conversations, proactively plans actions, and effectively carries tasks forward over time.In this role, you will transform research directives into operational, production-ready machine learning systems. You will oversee the execution layer of our AI intelligence, including training pipelines, inference systems, evaluation tools, and deployment processes.What You'll DoDevelop and maintain comprehensive ML pipelines covering data management, training, evaluation, inference, and deployment.Optimize and fine-tune models utilizing cutting-edge methodologies like LoRA, QLoRA, SFT, DPO, and distillation.Design and manage scalable inference systems, ensuring a balance of latency, cost, and reliability.Create and oversee data systems that ensure high-quality synthetic and real-world training data.Implement evaluation pipelines that assess performance, robustness, safety, and bias, collaborating with research leaders.Manage production deployments, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.Work closely with application engineers to seamlessly integrate ML systems into backend, mobile, and desktop applications.Make practical trade-offs and deliver enhancements quickly, leveraging real-world usage data.Operate under real production constraints such as latency, cost, reliability, and safety.Tech StackPythonPyTorch / JAXGPU-based training and inference systemsIdeal ExperienceExperience in developing or deploying real-world ML systems that have been utilized by users, beyond mere demonstrations.Familiarity with large models and understanding their failure modes.Proficiency in writing robust, production-grade code with a focus on system accuracy and reliability.Demonstrated self-direction, pragmatism, and a strong sense of ownership over project outcomes.Excellent communication and collaboration skills, thriving in small, high-trust teams.

Principal Machine Learning Engineer – Generative AI, Big DataAre you passionate about pioneering innovations in Generative AI? Do you aspire to leave a lasting impact while facing the challenges at the forefront of Artificial Intelligence? If you envision crafting revolutionary products that shape the future of AI-driven network management, join us at Extreme Networks.This is an exciting opportunity to influence next-generation networking experiences through the integration of Generative AI, Machine Learning, Big Data, and Cloud Computing. You will play a pivotal role in defining user journeys, product vision, and technical roadmaps, driving innovation from inception to execution.Now is an exceptional time to be part of Extreme Networks. With our recent acquisitions enhancing our portfolio and market strategy, we are witnessing unparalleled growth globally. Acknowledged as a Technology Leader in the Gartner Magic Quadrant and a multi-year recipient of the Best Employer award, we are committed to fostering a culture of diversity, inclusion, and equality, where every employee thrives because of their unique perspectives.Our AI Core group is at the forefront of developing platforms and solutions for Generative AI, including AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning. These innovations not only power flagship Extreme products but also enable entirely new offerings. Together, we are instigating a fundamental transformation in how businesses manage networks by constructing intelligent, high-performance multi-agent systems that perceive, learn, and act in real-time.At Extreme Networks, innovation is not merely encouraged; it is an expectation. Partner with us and help shape the future of network intelligence.

Who You AreWe are seeking talented Machine Learning Systems Engineers to contribute to the development of the world's largest end-to-end 3D native machine learning systems. You will collaborate on our comprehensive ML framework tailored for 3D applications, encompassing pretraining, fine-tuning, inference, and more. We value strong hands-on engineering skills, a passion for learning, and an ability to excel in a dynamic, high-responsibility environment.Who We AreAt Meshy, we envision a world where 3D creation is limitless and accessible to all. Our mission is clear: unleash creativity. We have developed a comprehensive pipeline for 3D content that spans text/image to 3D, texturing, texture editing, animation rigging, and beyond. Additionally, we foster a vibrant community for creators to share their work, draw inspiration from others, and utilize our platform as an asset marketplace for their games and prototypes. Recognized as the No.1 in popularity among 3D AI tools (according to the 2024 A16Z Games survey), Meshy delivers real value to enterprises such as Meta, Square Enix, and DeepMind, as well as millions of end-users. Our technology powers game and film production, 3D printing, industrial product design, user-generated content features, and even training simulations for robotics and physical AI.Your Next Challenge3D is the exciting new frontier of Generative AI, and your role at Meshy will present unique challenges in both training and inference. You will engage with the full stack of AI, from debugging and monitoring hardware platforms, building training frameworks, scaling high-throughput 3D data pipelines, collaborating with researchers on novel model architectures, to developing efficient inference engines for diffusion models and more. Here are some specific challenges on the training side:Collaborate closely with researchers to co-design the next frontier of 3D & Spatial AI.Develop and refine modern PyTorch solutions for maximum parallelism and efficiency, establishing a clean and intuitive training infrastructure for our foundational models.Identify bottlenecks and optimize for high throughput & efficient distributed model training across hundreds to thousands of GPUs.Implement and maintain 3D-specific custom operators in Triton or CUDA.Design and uphold novel data-loading frameworks and libraries.

Toloka AI is hiring a Freelance Machine Learning Engineer for a remote contract role based in Wisconsin, United States. This position centers on building and improving machine learning models that directly support product development and help shape the user experience. Responsibilities Create and fine-tune machine learning models for practical, real-world use Use data science techniques to enhance product features Work with other team members to solve technical challenges Requirements Solid background in machine learning and data science Proven ability to tackle complex problems using technical approaches Comfortable working independently as well as collaborating with a team Remote Work This contract role is fully remote but requires residence in Wisconsin, United States.

Machine Learning Engineer - LLMs & Generative AIAt Truveta, we are revolutionizing healthcare through data-driven insights. Our mission is to empower researchers to accelerate the discovery of cures, enable clinicians to provide expert care, and assist families in making informed healthcare decisions. To achieve this ambitious vision, we are assembling a talented and passionate team with a unique blend of healthcare, software, and big data expertise who resonate with our company values.This position is based out of our headquarters in the Greater Seattle area. #LI-hybridWho We Are Looking ForWe are committed to building a diverse and inclusive team to address the intricate challenges in healthcare and technology. We seek enthusiastic new graduates who are problem solvers, collaborative team players, and passionate about making a positive impact in healthcare. If you are excited about meaningful work and joining a mission-driven team in a supportive environment, Truveta could be your ideal launchpad.Opportunity OverviewWe are in search of a Machine Learning Engineer proficient in generative AI, large language models (LLMs), and reinforcement learning techniques to develop the next generation of trustworthy AI systems for healthcare. This role presents a unique opportunity to create foundational models trained on extensive clinical data and drive innovation in a field that truly matters.Key ResponsibilitiesLead the design, training, and deployment of large language and multimodal foundation models tailored for clinical and biomedical applications.Implement and enhance cutting-edge techniques including supervised fine-tuning (SFT), reinforcement learning methodologies (e.g., RLHF, RLVR), parameter-efficient fine-tuning (PEFT), prompt tuning, and retrieval-augmented generation.

Join Strava as a Platform Engineer specializing in Generative AI and Machine Learning. In this pivotal role, you will drive the development of innovative platforms that enhance user experiences and push the boundaries of technology. Collaborate with a dynamic team of engineers and data scientists to create scalable solutions that utilize advanced AI techniques. Your work will directly influence the future of our products and services, making a significant impact on athletes and fitness enthusiasts worldwide.

About the OpportunityJoin a leading global networking organization that is revolutionizing the way businesses manage their networks. Our AI Core group is pioneering innovative platforms in Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning, all of which are integral to our flagship products and the creation of new offerings. Here, innovation is not just welcomed; it's a fundamental expectation.The RoleAs an AI ML Engineer, you will serve as a pivotal technical leader and thought leader, influencing our ML strategy and developing intelligent, high-performance multi-agent systems that can perceive, learn, and react in real time.Your ResponsibilitiesDefine and guide the technical vision for ML solutions across our products and platforms.Oversee the complete software development lifecycle, from design and code reviews to deployment and operational management.Design high-performance, scalable microservices, including both synchronous and asynchronous web services.Create real-time inference pipelines for complex models utilizing Triton, TensorRT, and mixed-precision computing.Mentor fellow engineers, establish technical direction, and cultivate a robust team culture.Promote engineering excellence, system resilience, and ongoing operational enhancements.

About PlaylabPlaylab is a pioneering tech non-profit committed to empowering educators and students to become critical consumers and creators of artificial intelligence (AI).We advocate for an open-source, community-driven approach as essential for unlocking the potential of AI in education. Our mission is to equip communities with AI tools and provide hands-on professional development, enabling educators and students to develop custom AI applications tailored to their unique environments. Over 60,000 educators have already published applications on Playlab, and our impact continues to expand daily.At Playlab, we view AI as a new design material—one that should be shaped collectively to realize innovative ideas about learning. If you share our passion for constructing equitable and creative futures for students and educators, we invite you to join our team.The RoleWe are looking for a Staff Machine Learning Engineer to join our expanding Engineering team. In this role, you will design the systems that ensure AI remains accessible as we grow—balancing advanced capabilities with cost-effectiveness, driving research into effective educational AI, and paving the way for sophisticated AI to operate globally.Examples of the WorkDevelop data pipelines that scrub Personally Identifiable Information (PII), create research datasets, and support the research portal for educational AI initiatives.Architect pathways for self-hosted and on-device model deployments to enhance privacy and global accessibility.Design and implement model orchestration systems that intelligently route requests among various AI providers (OpenAI, Anthropic, AWS Bedrock, open-source models).Establish cost optimization infrastructures—implementing conversation compression, prompt caching, and smart model selection to maintain AI accessibility.Create comprehensive observability systems for ML operations—monitoring costs, latency, quality, and usage patterns across thousands of applications.Design and implement infrastructure for fine-tuning and deploying custom models.Build monitoring and alerting systems to ensure reliability as AI interactions scale.And more…ExpectationsDesign, build, and maintain production ML infrastructure that balances performance, cost, and reliability.Take ownership of data quality and research dataset creation—ensuring data is properly scrubbed, documented, and useful.

Join Playlab as a Staff Machine Learning EngineerAt Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become informed consumers and innovators in the field of AI.Our mission revolves around a community-centric, open-source approach to educational AI. By providing essential tools and hands-on professional development, we enable educators and students to design tailored AI applications that fit their unique educational contexts. To date, over 60,000 educators have successfully published apps through Playlab, and our impact continues to expand.We view AI as a transformative design material, one that should be shaped collaboratively to realize diverse visions of learning. If you are passionate about crafting equitable and innovative futures for educators and students, we invite you to be part of our journey.The RoleWe are searching for a Staff Machine Learning Engineer to enhance our dynamic Engineering team. In this role, you will explore and experiment with cutting-edge AI technologies, transforming them into practical solutions for educators. Your work will bridge the gap between advanced machine learning and actual educational needs, ensuring that frontier AI is both safe and accessible within educational environments.Key ResponsibilitiesDesign and develop evaluation systems that gauge the quality of educational AI across numerous interactions, focusing on learning outcomes, bias detection, and curriculum alignment.Construct ML systems that facilitate self-improving app creation, utilizing insights from high-quality apps on our platform to automatically scaffold new applications for educators.Create and prototype downloadable, on-device AI models that function offline, ensuring privacy and global accessibility.Develop systems that support dynamic interfaces that adapt to learning moments, seamlessly transitioning between chat, writing editors, and interactive simulations.Establish content moderation and safety systems specifically tailored for educational conversations.Implement agentic AI systems that enable educators to craft goal-oriented applications (e.g., guiding students through projects over two weeks).Build advanced RAG systems that integrate diverse educational content with semantic search and knowledge graphs.And more…ExpectationsConduct research, prototype, and implement machine learning systems that empower educators.

SmarterDx, a Smarter Technologies company, is revolutionizing the intersection of clinical care and payment systems through advanced AI technology. Established by a team of physicians in 2020, our innovative platform enhances the connection between clinical context and revenue intelligence. By empowering health systems to recover millions in missed revenue, we are committed to improving quality scores and supporting every denial appeal. Join us as a Smartian and contribute to optimizing the healthcare landscape for everyone. Discover more about our mission at smarterdx.com/careers.Role OverviewWe are seeking a talented Staff Machine Learning Engineer to lead the development of a premier ML Ecosystem that will enhance our clinical AI product suite. The ideal candidate excels in cross-disciplinary collaboration and consistently delivers high-quality results with a focus on building reliable systems and improving the developer experience.**This position is fully remote within the US**Key ResponsibilitiesDevelop and scale machine-learning features across various products.Create reusable architecture to streamline and accelerate machine learning development throughout the organization.Establish best practices for development and ML processes at SmarterDx while mentoring fellow engineers.

About Us:At Ambience Healthcare, we aspire to redefine healthcare technology. We are creating an AI intelligence platform that brings humanity back to healthcare while delivering significant ROI for health systems nationwide.Our cutting-edge technology enables healthcare providers to concentrate on exceptional patient care by alleviating the administrative tasks that detract from their critical responsibilities. Ambience provides real-time, coding-aware documentation and clinical workflow support across various healthcare settings, including ambulatory, emergency, and inpatient environments, partnering with top health systems across North America.We are relentless in our pursuit of excellence, exhibiting extreme ownership as we develop optimal solutions for our health system partners. We value transparency, positivity, and profound insight — holding each other to high standards because the challenges we tackle are of utmost importance.Ambience has been recognized as the leading company for improving clinician experience in the KLAS Research Emerging Solutions Top 20 Report, named one of the Next Big Things in Tech by Fast Company, and selected as one of the best AI companies in healthcare by Inc. Additionally, we were honored as a LinkedIn Top Startup in 2024 and 2025. Our esteemed investors include Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started.The Role:As a Staff Machine Learning Engineer on the Frontier AI team at Ambience, you will tackle the most challenging model quality issues across our clinical AI products, including foundational coding models, adaptive scribing, voice agents, long-context chart understanding, and clinical reasoning. This role focuses on research direction, designing learning loops, and driving comprehensive improvements in model quality over time.Ambience delivers advanced clinical AI solutions in real-world healthcare environments. The models that fuel our products operate under unique constraints, including proprietary ontologies, complex electronic health record (EHR) data, stringent compliance requirements, and clinician workflows where both latency and accuracy are critical. You will leverage your deep research instincts and engineering rigor to push the boundaries of what is possible.Our engineering roles are hybrid, requiring in-office attendance at our San Francisco location three days a week.