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.

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 Engineer to spearhead our Generative AI initiatives. This is a unique opportunity to influence the manufacturing landscape by utilizing advanced AI research to tackle real-world challenges: including multimodal document comprehension, structured data extraction from technical drawings, and developing novel reasoning methods across text, images, and 3D data. If you are enthusiastic about creating cutting-edge AI systems and wish to see your contributions generate immediate business and customer impact, we invite you to reach out.

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.

Tiger Analytics is seeking a highly skilled Machine Learning Engineer with a strong background in Generative AI to become a pivotal part of our rapidly expanding advanced analytics consulting team. Our professionals possess extensive knowledge in Machine Learning, Data Science, and AI, serving as the trusted analytics partner for numerous Fortune 500 companies to unlock business value from data. Our leadership and innovation have been acknowledged by renowned market research firms, including Forrester and Gartner.Key Responsibilities:Design, develop, and enhance high-performance APIs and microservices using Python (FastAPI) deployed on AWS Fargate (ECS).Integrate LLM and Generative AI APIs with providers like AWS Bedrock and OpenAI.Collaborate with ML and DevOps teams to architect CI/CD and MLOps pipelines within the AWS ecosystem.Participate in architectural discussions to ensure scalability, latency management, and backend efficiency for AI-driven systems.(Preferred) Utilize knowledge of Bedrock Agent Core services to enhance intelligent agent capabilities.Develop and maintain JSON RESTful APIs in accordance with OpenAI API standards and best practices.

Join Databricks Mosaic AI as a Senior Machine Learning Engineer and take the lead in developing our cutting-edge generative AI platform. Our team, formed in late 2020, empowers businesses by allowing them to securely fine-tune, train, and deploy custom AI models using their own data. This ensures maximum security and control while being compatible with all major cloud providers, allowing for unparalleled flexibility in AI development.Since our integration into Databricks in July 2023, we have been dedicated to tackling some of the world's most challenging problems, from revolutionizing transportation to accelerating medical advancements. We leverage deep data insights to enhance our customers' business capabilities and thrive on overcoming technical challenges to deliver superior data and AI solutions.Role Overview:As a Senior Machine Learning Engineer, you will play a pivotal role in the design and implementation of our generative AI platform, covering the entire ML development lifecycle, including data generation, training, evaluation, serving, and agent-building. Your expertise will be essential in translating user requirements into intuitive product interfaces while constructing robust backend distributed systems that drive these features.

At Xometry (NASDAQ: XMTR), we are revolutionizing the manufacturing sector by connecting visionary thinkers with the manufacturers capable of transforming their ideas into reality. Our digital marketplace equips manufacturers with essential resources for growth while enabling Fortune 1000 companies to effortlessly access global manufacturing capabilities.We are on the lookout for a Senior Staff Machine Learning Engineer to spearhead our Generative AI initiatives. This is a unique opportunity to redefine the future of manufacturing by implementing groundbreaking AI research to tackle real-world challenges, including multimodal document interpretation, structured data extraction from technical drawings, and developing novel reasoning methods across text, images, and 3D data. If you are enthusiastic about creating advanced AI systems that yield immediate business and customer benefits, 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.

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.

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.

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.

About Our TeamAt Genesis Molecular AI, we are a dedicated group of innovative drug hunters, deep learning researchers, and skilled software engineers, all striving to revolutionize biochemistry. Our mission is to harness the power of AI to discover and develop groundbreaking therapies for patients dealing with severe disorders.Our team is engaged in pioneering the development of foundational models for small molecule drug discovery, conducting essential research at the intersection of machine learning, physics, and computational chemistry. We engineer robust software systems that support extensive simulations and facilitate the training of generative and predictive AI models capable of learning from diverse molecular data, leveraging a powerful cluster of thousands of GPUs and tens of thousands of CPUs.About the PositionWe are in search of talented ML Infrastructure Engineers who are ready to take the lead in advancing our machine learning research agenda for generative modeling of molecular systems, a key component of our mission.In this role, you will spearhead the rapid evolution of our AI platform and infrastructure, unlocking unprecedented levels of performance, efficiency, and scalability. You will be responsible for constructing massively distributed training and inference pipelines, core MLOps tools and frameworks, as well as optimizing GPU operations to enhance the speed of ML models.Genesis fosters a collaborative and cross-functional environment, offering the opportunity to work closely with our exceptional engineers, researchers, and scientists.Your ResponsibilitiesLead engineering initiatives aimed at the continuous enhancement of our AI platform, focusing on the rapid development of scalable and resilient distributed infrastructure for ML training, inference, and evaluation.Facilitate model training and deployment across multiple clusters and cloud environments, with an emphasis on optimizing throughput and cost-effectiveness.Maximize the efficiency of ML models and various workloads regarding latency, throughput, and memory usage (e.g., through GPU performance engineering), pushing the limits of current hardware capabilities.Contribute to the long-term strategic vision for Genesis’ infrastructure platform.QualificationsWe are looking for engineers with a strong foundation in software development and a passion for machine learning, particularly in the context of infrastructure and distributed systems.

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.

FieldAI is at the forefront of reimagining how robots engage with the world around them. Our Irvine team specializes in developing cutting-edge, risk-aware AI systems tailored for real-world applications. Nestled in the vibrant robotics hub of Southern California, we tackle complex challenges in robotics, unleashing the full power of embodied intelligence. If you're eager to see your innovations take flight in real hardware and enhance their capabilities through practical deployments, then our Irvine location is the ideal environment for you. We prioritize a comprehensive engineering approach that transcends traditional data-driven methods, integrating proven learning systems to yield globally deployed solutions that continuously evolve with each interaction in the field.About the JobAs a part of our Insight Team, you will lead the development of the Field-insight Foundation Model (FiFM), which empowers a global fleet of autonomous robots to gather extensive multimodal data from diverse environments daily. Your role as a Senior Machine Learning Platform Engineer will encompass ownership of the infrastructure that supports FiFM, overseeing everything from model hosting and distributed training pipelines to data systems and observability. This position uniquely blends systems engineering with machine learning, where you will design and manage large-scale ML platforms to facilitate our mission of deriving actionable insights from complex data.

RelayPro is revolutionizing the way we perceive and interact with the physical world by transforming it into a searchable and actionable data asset. We have advanced beyond the traditional analog methods of 'Big Radio' to create the Relay SOAR™ Platform, which utilizes voice and movement as the new input methods for enterprises. By capturing the 'Human Signal,' we empower frontline teams across hospitality, manufacturing, and healthcare sectors to shift from reactive chaos to proactive control. As one of North America's fastest-growing tech companies, we are on the lookout for the next wave of 'Relayers' to join us in digitizing the final frontier of the workforce. Why Launch Your Career at RelayPro? Innovate at the Forefront: We recently celebrated our 100th patent. Join us in working with cutting-edge technologies that include AI-driven noise suppression, real-time language translation, and advanced IoT connectivity. Scale to New Heights: Contribute to a platform that processes over 1 billion data points weekly. Our technology is not just innovative; it plays a crucial role in the global economy. LIT Culture (Learning, Impact, Teamwork): We foster an environment where early-career professionals have a voice and can see their contributions impact global brands immediately. Rapid Growth Path: With an impressive 461% growth rate and new C-suite leaders experienced in successful IPOs, this is an exciting time to join our dynamic team. Exceptional Perks: Located in our state-of-the-art Raleigh headquarters, you will benefit from 100% company-paid benefits, a 401(k) match, and a hybrid work model that balances flexibility with energetic collaboration. Are you ready to help us build the Intelligent System of Action? At RelayPro, our technology stack tackles complex challenges. Our diverse programming languages include Erlang, Java, C, C++, JavaScript, and sometimes Python. We are agile and responsive to user and business needs through practical approaches rather than strict adherence to methodologies. We seek a curious and proactive engineer to join our growing team. We prioritize action while carefully managing speed and technical debt. We tackle significant challenges but strive for simplicity, maintaining a focus on quality. We operate the systems we build and hold ourselves accountable for our code. As a startup, our lean and agile teams allow you to make valuable contributions to our products swiftly. There are abundant opportunities to learn and grow as we continuously deliver value to our customers.

About the RoleMoveworks is seeking experienced Senior and Staff Engineers to enhance our Generative AI Search Platform. Join our dedicated team as we innovate on search-based question answering systems by integrating traditional machine learning methods with the latest advancements in generative AI technologies. Our goal is to construct conversational search systems that deliver immediate responses to enterprise user inquiries.As part of the Search Platform team, you will lead efforts to refine our search capabilities, collaborating closely with ranking, product, design, infrastructure, and data science teams. Together, we aim to elevate our agentic search products to new heights of performance and enterprise readiness.At Moveworks, we value a fast-paced, problem-solving culture that prioritizes providing exceptional value to our customers. Your role will involve working with diverse teams to identify, define, and implement elegant solutions that meet user needs.Design robust abstractions to empower ranking and product teams to effectively contribute to the codebase.Develop algorithmic frameworks for various conversational search applications, including multi-turn, multi-hop question answering systems.Lead the evolution of our search platform by integrating new LLM-enabled generative AI features, ensuring scalability, quality, security, and privacy.Create systematic evaluation metrics and methodologies for our search models, utilizing LLMs to solve unique enterprise challenges.As a technical leader, foster a high-performing, inclusive team environment while mentoring engineers at various levels.Contribute to our hiring processes and help grow our engineering team.

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucination Mitigation techniques. Our innovative approach has garnered recognition in esteemed publications such as the New York Times and Visual Capitalist, solidifying our reputation as leaders in responsible, production-ready AI solutions. With a diverse clientele of over 100 enterprises, including prominent US military organizations, financial institutions, healthcare providers, and manufacturers, we are committed to delivering exceptional results.Our founding team comprises seasoned professionals from Google, specializing in neural information retrieval and distributed systems. We invite you to join us in our mission to empower the world to discover meaningful insights. At Vectara, our team is built on passion and expertise, featuring top talents from companies like Google, Cloudera, Splunk, MongoDB, and Elastic.

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.

At Genies, we are revolutionizing the way digital identities are represented through advanced AI avatar technology. Our proprietary Genies SDK enables creators to forge fully realized AI personas that embody authentic human-like traits. From AI companions to interactive agents, our technology finds its applications across various sectors including enterprise, consumer, entertainment, and gaming.Having secured $200M in funding from esteemed investors such as Silver Lake, BOND, and Bob Iger, we are committed to shaping the future of digital interaction. With a mission to provide the visual and interactive layer for the next generation of the internet, we empower users to express their authentic selves through AI-driven avatars.We are currently seeking a passionate Senior Machine Learning Engineer to become a vital part of our research and development team. In this role, you will design, develop, and deploy cutting-edge machine learning models that generate high-quality 3D assets for our avatar ecosystem. Collaborating with our talented engineering and creative teams, you will enhance our creator tools with AI capabilities, propelling our vision of transforming digital identity and social experiences.If you are excited about the potential of avatar technology and are eager to tackle complex challenges with innovative solutions, we want to hear from you. Join us in our mission to revolutionize how users engage and express themselves in the digital realm.

Join SmarterDx, a subsidiary of Smarter Technologies, where our innovative clinical AI is revolutionizing the way hospitals convert care into revenue. Founded by a team of dedicated physicians in 2020, our platform seamlessly integrates clinical context with revenue insights, enabling healthcare systems to recover millions in lost revenue, enhance quality metrics, and successfully appeal denials. Become a valued member of our team and contribute to improving healthcare for all. Discover more at smarterdx.com/careers.Role OverviewWe are seeking a Senior Machine Learning Engineer to propel our clinical AI initiatives forward and facilitate swift model experimentation and development. The ideal candidate thrives in cross-functional environments and consistently delivers exceptional results.**This position is fully remote within the United States**Key ResponsibilitiesDeploy and maintain advanced machine learning models and pipelines in production.Collaborate with data scientists, data engineers, and application developers to integrate ML solutions into the SmarterDx platform.Design and implement MLOps strategies and tools, focusing on continuous integration, delivery, and monitoring of machine learning systems.Enhance model performance and scalability, ensuring optimal reliability and efficiency.Create tools that simplify the workflow for our data scientists.Contribute to the architecture and design of our machine learning systems.