Machine Learning Engineer - LLMs & Generative AI

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.

Join Axon and be a Force for Good.At Axon, we’re dedicated to our mission of Protecting Life. As pioneers in the safety and justice fields, we leverage an ecosystem of devices and cloud software to tackle society's most pressing issues. Our collaborative approach thrives on open communication and a commitment to diverse perspectives, allowing us to connect meaningfully with our customers and communities.Life at Axon is dynamic, challenging, and impactful. Here, you will take the lead in driving transformative changes and grow continually while contributing to a mission that truly matters in a company where your contributions are valued.Your ImpactIf you have a passion for artificial intelligence and enjoy engineering innovative solutions that accelerate cutting-edge scientific advancements, we want you!As a Principal Machine Learning Engineer at Dedrone, you will play a pivotal role in architecting and implementing the platform utilized by Dedrone scientists to deliver safe, secure, and reliable AI features in the counter-UAS domain. By collaborating closely with both scientists and software engineers, you will facilitate the introduction of new AI capabilities across Dedrone products. Being part of a multidisciplinary team will expose you to various domains and applications, from Multi-modal Sensor Fusion to Real-Time Systems with distributed edge computing.The ideal candidate will boast a proven track record of optimizing models for edge deployment and deploying AI solutions on devices with limited memory and connectivity, catering to users worldwide. You will have a deep understanding of the AI lifecycle, providing end-to-end support for scientists in developing new machine learning models and AI functionalities, fostering better and more responsible AI applications. We seek bold individuals who are ready to champion drone safety measures across Public Safety, Enterprise, and Defense sectors.

Join the forefront of AI technology at Extreme Networks as a Principal Machine Learning Engineer. In this pivotal role, you will lead the design and implementation of machine learning algorithms that drive our AI initiatives. Collaborate with cross-functional teams to innovate and optimize our network solutions, delivering exceptional performance and reliability.Your expertise in machine learning and data analysis will contribute to developing cutting-edge solutions that enhance user experiences and operational efficiencies. If you are passionate about leveraging AI to transform networking technologies, we want to hear from you!

Machine Learning Postdoctoral Researcher in LLMs & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with the noble vision of saving lives through data. Our mission is to expedite research for cures, empower clinicians with expert insights, and facilitate informed care decisions for families. To achieve this ambitious vision, we are building a talented and inspired team that combines expertise in healthcare, software, and big data, united by our company values.While our headquarters are in the greater Seattle area, we embrace a culture of remote work. Participation in the Postdoctoral Research program requires physical presence in the United States for its duration. #LI-remoteWho We Are Looking ForWe are in search of an exceptionally motivated Machine Learning Postdoctoral Researcher to join our AI research team, contributing to groundbreaking projects in Large Language Modeling (LLM) and clinical data analysis. Ideal candidates will be problem solvers, enthusiastic collaborators, and individuals willing to engage hands-on to make an impactful difference. If you are eager to pursue meaningful work alongside a mission-driven team and build a fulfilling career while enjoying the journey, Truveta could be your ideal match.Program OverviewOur Postdoctoral Research program is tailored for candidates who have completed their PhD within the last two years and have been engaged in their field as a researcher, educator, or industry scientist since graduation. Candidates should demonstrate independence in defining their research strategy within a domain while also applying innovative solutions to our products. The program duration ranges from a minimum of 3 months to a maximum of 12 months, with possibilities for extension based on organizational needs and personal aspirations.

Join Hive as a Senior Machine Learning EngineerAt Hive, we are at the forefront of cloud-based AI innovation, providing solutions that empower organizations to understand, search, and generate content seamlessly. Our advanced AI models are trusted by leading global enterprises, processing billions of API requests monthly. We also deliver ready-to-use software applications that leverage our proprietary AI models and datasets, driving transformative applications in content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.With over $120M raised from top-tier investors like General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive boasts a diverse team of over 250 professionals across our San Francisco, Seattle, and Delhi offices. If you are passionate about shaping the future of AI, we want to hear from you!Your Role as a Machine Learning EngineerTo achieve our ambitious vision, we are expanding our team of elite machine learning engineers. We seek developers who are not only enthusiastic about deep learning but also eager to prototype cutting-edge neural network models and deploy them to production. The ideal candidate thrives on tackling terabyte-scale datasets, embraces continuous learning across the entire machine learning stack, and demonstrates a proactive approach to project ownership. A successful applicant will have a track record of building machine learning-powered projects from inception, contributing innovative ideas, and designing scalable, maintainable data pipelines.

Join Hive as a Senior Machine Learning Engineer and be part of a pioneering team that is shaping the future of AI. We are seeking innovative developers who are passionate about deep learning and eager to design and deploy cutting-edge neural network models. In this role, you will work with large-scale datasets and contribute to the development of scalable, maintainable data pipelines. Your expertise will help us enhance our AI solutions, enabling transformative applications across various industries.

Machine Learning PhD Intern - Large Language Models & Generative AIAt Truveta, we are pioneering the world's first health provider-led data platform with a mission to Save Lives with Data. Our goal is to empower researchers to accelerate the discovery of cures, equip every clinician with expert knowledge, and support families in making informed health decisions. To realize this ambitious vision, we are building an exceptional team of passionate individuals with a unique blend of expertise in healthcare, software, and big data. Join us in making a significant impact.While our headquarters are located in the greater Seattle area, we embrace a remote work culture. Note that participation in the internship requires physical presence within the United States for its duration. #LI-remoteIdeal Candidate ProfileWe are on the lookout for a driven and innovative Machine Learning PhD Intern to join our AI research team, focusing on projects related to Large Language Models (LLMs) and clinical data analysis. We value problem solvers, collaborative team players, and individuals eager to take initiative and create meaningful change. If you seek an opportunity to engage in purposeful work, join a mission-driven team, and shape a fulfilling career while enjoying the journey, Truveta could be the right match for you.Internship OverviewOur Research PhD Internship is tailored for candidates who have completed their coursework and are dedicated to research for their PhD. Candidates should be nearing graduation, within one year of completing their program. We expect candidates to demonstrate independence in formulating their research direction within a specified domain, alongside the capability to devise innovative solutions for our products. Internships typically last a minimum of 10 weeks, with potential for extension based on business needs and candidate interest.

At PitchBook, a subsidiary of Morningstar, we are committed to forward-thinking innovation. Our culture is rooted in collaboration, energy, and a shared enthusiasm that permeates our work environment. We offer comprehensive learning programs and mentorship opportunities that nurture a culture of curiosity, motivating us to discover new solutions and improve our processes continuously. The dynamic nature of our industry, combined with our ambitious goals, presents challenges; however, we thrive on overcoming them through innovation, risk-taking, and a relentless pursuit of excellence.If you bring a positive attitude and a willingness to take initiative, PitchBook is the perfect place for you.About the Role:As a vital member of the Product and Engineering team at PitchBook, you will join a group of visionary thinkers and innovators dedicated to enhancing our impact on clients and the company. We prioritize curiosity and strive for continuous improvement, with customer empathy at the core of our product development efforts.Recognizing that success is built on teamwork and diverse perspectives, we collaborate closely with global partners. Our team fosters a culture of respect, constructive dialogue, and integrity, investing in our personnel who are eager to learn and grow. Join us and advance your career!As a Senior Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will be instrumental in delivering AI-driven features that yield valuable insights from PitchBook’s extensive data resources.

Truveta is developing a data platform led by healthcare providers to support medical research, improve clinical tools, and help families make informed decisions. The company brings together experts in healthcare, software engineering, and big data. Details about Truveta’s values are available here. Role overview This Senior Machine Learning Engineer position centers on healthcare AI innovation. The role involves working with a team dedicated to creating data-driven solutions that aim to advance healthcare. The position is based at Truveta’s headquarters in the Greater Seattle area, with a hybrid work arrangement.

Join Our Team as a Senior Machine Learning EngineerAbout AZXAt AZX, we are on a mission to drive positive change in key industries through innovative AI solutions. We focus on physics-informed machine learning and enterprise AI applications that tackle pressing climate and sustainability issues.Rapidly expanding, we collaborate with leading organizations in various sectors including real estate (CBRE), energy (LevelTen Energy), logistics (Flexe), and utilities (Puget Sound Energy).Established in 2024 as a public benefit corporation, AZX has been profitable since inception, fueled by our consulting endeavors.Our work encompasses challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We are committed to fostering a workplace that inspires those passionate about AI and making a meaningful impact.About the RoleWe are looking for an experienced Machine Learning Software Engineer to enhance our client deliverables and develop our platform. As one of our initial full-time ML engineers, your contributions will significantly shape our initiatives.You'll be joining a team of seasoned professionals from the climate and AI sectors, with expertise from Microsoft, AI2, ARM, and significant utility companies, including PhDs and published ML researchers.Initially, this role will focus 70% on client delivery and 30% on platform development, transitioning to a balanced 50/50 split within the first year.Your journey will involve both enterprise-style projects and rapid innovation cycles, with increasing investment in our platform to enhance client value.Your ResponsibilitiesTransform complex client challenges into executable code.Lead projects from initial discovery to final deployment.Collaborate effectively with both client and internal project teams.Develop clean and scalable code to meet varying quality standards.Design, integrate, and productionize ML solutions, including predictive models and GenAI systems.Work with domain experts in energy, real estate, and climate to convert business requirements into ML solutions.

Join Hive, a pioneering force in cloud-based AI solutions, as a Senior Machine Learning Engineer. In this role, you will be instrumental in advancing our mission by designing, prototyping, and deploying cutting-edge neural network models. You will work with large-scale datasets, embrace innovative technologies across the machine learning spectrum, and take pride in delivering high-quality, scalable data pipelines. We seek individuals who are passionate about the latest advancements in deep learning and thrive in a fast-paced environment where ownership and creativity are valued.

At Lyft, we are dedicated to fostering connections and serving our community. Our mission is realized by creating an inclusive workplace where every team member has the chance to excel. With over 500 million rides completed, Lyft is tackling complex challenges on a grand scale, utilizing Artificial Intelligence (AI) and Machine Learning (ML) to enhance our customer service. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in developing AI Platform components that support essential AI applications across Lyft. This position requires expertise in Generative AI and platform development. In this role, you will help build a platform that facilitates real-time, online, and offline execution, development, and iteration of AI and ML models. Collaborating with a team of driven Machine Learning and Software Engineers, you will tackle challenging issues and create solutions that have a direct impact on our systems company-wide. If you are enthusiastic about constructing an AI Platform at scale, with applications that span every aspect of our organization, we want to hear from you. We are seeking individuals who are innovative and analytical thinkers, experienced in AI and machine learning systems, and passionate about leveraging data to address business challenges in a dynamic, creative, and collaborative environment.

Artificial Intelligence (AI) is increasingly essential across various sectors of society. At Scale AI, we are dedicated to accelerating the evolution of AI applications. For over eight years, we have been a premier AI data foundry, driving groundbreaking advancements in areas such as generative AI, defense technologies, and autonomous vehicles. Following our recent Series F funding round, we are enhancing the deployment of frontier data and models by developing sophisticated agents for enterprises globally through our Scale Generative Platform (SGP). Our SGP ML team stands at the forefront of the AI revolution. We collaborate directly with clients to create innovative products utilizing our extensive proprietary research and resources. As a Staff Applied AI Engineer, you will engage with clients to develop machine learning solutions that address their specific business challenges. Your projects will encompass a range of applications, from constructing next-generation AI cybersecurity firewalls to transforming journalism through AI experiences, as well as employing foundational genomic models to predict vital drug proteins. Through daily data-driven experiments, you will uncover critical insights regarding model performance, which you will leverage to enhance our products. If you are passionate about influencing the future of AI, we invite you to apply!

Join Axon and Be a Force for Good.At Axon, we are dedicated to the mission of protecting life. As innovators, we tackle society's most pressing safety and justice challenges through our array of devices and cloud-based software. Just like our products, we believe in collaboration—connecting with transparency and empathy, while valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. Here, you will have the opportunity to take ownership and effect real change. Continuously grow as you work hard for a mission that truly matters at a company where you are valued.Your ImpactAre you driven by a passion for AI? Do you thrive on engineering solutions that push the boundaries of science? Are you eager to play a vital role in creating products that have a positive impact on the world?As a Machine Learning Engineer at Axon, you will be instrumental in designing and implementing the platform utilized by Axon scientists to integrate secure, reliable AI features into our devices. You will collaborate closely with scientists and device engineers to enable new AI capabilities for Axon products, including Fleet, Axon Body, Axon Air, and more. Working within a multidisciplinary team, you will explore a wide range of domains and applications, from Automatic License Plate Recognition to Object Tracking and Automatic Speech Recognition.The ideal candidate will possess a proven track record of optimizing models for edge deployment, including on-device implementations with limited memory and connectivity, ensuring users around the globe are served effectively. You will have a strong understanding of the AI lifecycle, supporting scientists throughout the end-to-end development of new machine learning models and AI capabilities, leading to better and more responsible AI solutions. You will be encouraged to take bold steps in supporting your team to enable features that transform the lives of officers and drive positive impacts in public safety.

At PitchBook, part of the Morningstar family, we are committed to innovation and continuous improvement. Our culture fosters collaboration, energy, and creativity, making our workplace a vibrant environment for all our team members.We offer extensive learning programs and mentorship opportunities, promoting a culture of curiosity that drives us to discover new solutions and enhance our processes. Amidst the dynamic nature of our industry, we embrace challenges and take calculated risks, learning from failures to achieve excellence.If you possess a proactive attitude and a readiness to tackle challenges, PitchBook is the ideal place for you to thrive.About the Role:As a vital member of the Product and Engineering team, you will collaborate with innovative thinkers and problem solvers who focus on enhancing the impact we make on our clients and our organization. We prioritize curiosity and empathy, striving to deliver outstanding customer experiences through product innovation.We believe in the power of collaboration and diverse perspectives, working closely with global partners. Our team culture encourages positive intent, constructive dialogue, and a respectful environment grounded in integrity and growth. We are dedicated to investing in our people, fostering an environment where continuous learning and improvement are valued. Join us and progress in your career!

Join Oumi as a Pre/Post-Sales Machine Learning EngineerAbout Oumi: At Oumi, we are dedicated to democratizing access to advanced AI technologies. We believe in the power of artificial intelligence to positively transform society, and our mission is to ensure that this technology is developed collaboratively and transparently. Our commitment to offering the safest, most high-quality AI solutions aims to create meaningful impacts for individuals, businesses, and humanity as a whole.What We Offer: Oumi delivers a comprehensive platform for crafting cutting-edge AI models, facilitating the journey from data preparation to model training, evaluation, and deployment. We empower innovators to create advanced models at any scale while fostering open collaboration with academic partners and the broader community.Our Philosophy: Oumi champions open-source principles, making collaboration the cornerstone of our endeavors. Our initiatives are:Research-oriented: We engage in original AI research and collaborate with esteemed academic institutions and researchers globally.Community-driven: We value the strength of collaboration and actively invite contributions from researchers and developers worldwide.Accessibility-centric: Our design philosophy is to enable organizations of all sizes to harness AI effectively by removing barriers to access and adoption.Your Role:We are seeking a passionate Pre/Post-Sales Machine Learning Engineer to connect technical expertise with customer satisfaction. In this role, you will collaborate closely with customers to design, train, and deploy AI models on Oumi's platform. This position uniquely blends solution architecture, applied machine learning, and customer engagement—perfect for individuals who enjoy building systems and aiding others in their application.You will significantly influence the direction of the team and the product. Collaborating with research, product, and engineering teams, you will ensure that customers enjoy a premium experience with Oumi while channeling valuable feedback to enhance our platform.Your Responsibilities:Customer Success Advocate: Collaborate with customers throughout the pre-sales and post-sales process, from delivering technical demonstrations to designing proofs of concept and providing hands-on training for model deployment.

Join Amperity as a Lead Machine Learning Engineer, where you'll spearhead innovative projects that leverage machine learning technologies. You will be responsible for developing and deploying robust machine learning models that drive significant business outcomes. Collaborate with cross-functional teams to integrate advanced analytics into products and services, optimizing customer experiences and operational efficiency.

Truveta seeks a Postdoctoral Researcher in Machine Learning to advance healthcare AI innovation. This position contributes to the company’s goal of saving lives through data-driven research, focusing on projects that combine artificial intelligence with healthcare challenges. The role is based in Seattle, WA, with flexibility for remote work. However, all postdoctoral researchers must live in the United States for the entire duration of the program. What you will work on Advance research at the intersection of healthcare and artificial intelligence Support Truveta’s mission to use data for improving patient outcomes and accelerating medical research About Truveta Truveta operates a health data platform that accelerates medical research and supports clinicians and families in making informed healthcare decisions. The platform provides access to a large collection of de-identified electronic health records, representing over 120 million patients, more than a third of the U.S. population. Researchers, clinicians, and life sciences organizations use this resource to drive clinical breakthroughs. Team culture The team includes experts from healthcare, software, and big data backgrounds. Truveta values diversity and encourages candidates who align with its core values to apply. Location requirement While remote work is supported, postdoctoral researchers must maintain residency within the United States for the full appointment period.

Join the cutting-edge 3D Simulation team at Zoox, where we are on a mission to revolutionize the intersection of machine learning and 3D vision. We are actively seeking talented machine learning engineers to leverage the latest research and innovative techniques to enhance diversity and seamlessly merge simulation with reality. You will have unparalleled access to world-class sensor data and a robust infrastructure for testing and validating your algorithms. Our ML team is dedicated to generating rich, diverse 3D environments, human models, and varied environmental conditions, allowing you to make significant contributions across all these domains.