Machine Learning Postdoctoral Researcher in LLMs & Generative AI

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 decisi…

Be a Catalyst for Change at Axon.At Axon, we're committed to safeguarding lives and enhancing public safety through innovative technology. Our dedicated team explores the pressing challenges of safety and justice, harnessing the power of our devices and cloud software to create effective solutions. We thrive in an environment where collaboration and diverse perspectives lead to groundbreaking developments.Working at Axon means embracing a fast-paced and meaningful career where your contributions truly matter. Take charge of your work, drive significant change, and grow alongside a mission that makes a difference.Your Role in Advancing TechnologyWe are looking for exceptional and forward-thinking Machine Learning Scientists to join our AI team. This position focuses on cutting-edge applications in Large Language Models (LLM) and Computer Vision, applicable to our Cloud, Devices, and Robotics sectors. As a vital contributor to our research and development, you will help propel advancements in LLMs, Multimodal Language Models (MLLMs), Computer Vision, and Generative AI technologies tailored for law enforcement and other sectors. Collaborate with diverse teams to design, develop, and implement innovative models and algorithms that facilitate intelligent reasoning, perception, and understanding of multimodal data.

Pinterest is looking for a PhD Fall Machine Learning Intern with a focus on visual, multimodal, and recommender systems. This internship centers on supporting advanced machine learning projects alongside skilled engineers and researchers. Role overview The position involves contributing to ongoing research and development in machine learning. Interns will have the chance to work on projects that explore visual understanding and recommendation technologies, learning from experienced team members throughout the process. Collaboration Expect to work closely with engineers and researchers who specialize in machine learning. The environment encourages sharing ideas and building solutions that impact Pinterest’s products. Locations San Francisco, CA, US Palo Alto, CA, US Seattle, WA, US New York, NY, US

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.

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 Oumi as a Research ScientistAbout Oumi: Oumi is committed to democratizing frontier AI, believing that collective and open development is essential for its safe and efficient advancement. Our mission is to provide the safest, highest quality, and most adaptable AI technologies to empower individuals and organizations, ultimately benefiting humanity as a whole.Our Solutions: Oumi offers a comprehensive platform for building advanced AI models, facilitating every stage from data preparation to model training and deployment. We collaborate with academic partners and the broader community to enhance open foundation models.Our Values: At Oumi, our foundation is built on open-source principles and collaboration. Our endeavors are:Research-driven: Conducting and sharing original AI research in partnership with global academic institutions.Community-focused: Encouraging contributions from researchers and developers worldwide.Accessibility-oriented: Designing our platform to lower barriers for organizations of all sizes to engage with AI.Position SummaryAs a Research Scientist at Oumi, you will play a crucial role in our research team, focusing on the advancement of Large Language Models (LLMs), Vision Language Models (VLMs), and associated technologies. Your work will involve pioneering research, engaging in open-source projects, and collaborating with fellow researchers and engineers on various dimensions of LLM/VLM development including training, evaluation, data curation, and benchmark formulation.Key Responsibilities:Model Development: Engage in research to develop and assess innovative LLMs, VLMs, and other AI models, exploring novel architectures and training methodologies.Data Curation: Create strategies for assembling high-quality datasets for LLM training and evaluation, employing techniques such as data synthesis.

At FieldAI, we are revolutionizing the way robots engage with the real world. Our innovative Machine Learning team based in Seattle develops risk-aware, dependable, and field-ready AI systems that address the most challenging problems in robotics, unleashing the full potential of embodied intelligence. We adopt a practical methodology that transcends standard, purely data-driven techniques or transformer-exclusive architectures, merging state-of-the-art research with real-world applications. Our solutions have achieved global deployment, and we consistently enhance model performance through rapid refinements driven by actual field use.We are on the lookout for a talented Staff AI Software Engineer specializing in Edge Model Optimization & Deployment. In this pivotal role, you will take the lead in optimizing, integrating, and deploying our machine learning models onto real robotic platforms. You will be responsible for the entire edge inference stack, including profiling and accelerating models, enhancing runtime performance across latency, throughput, memory, and power consumption. Collaborating closely with perception, autonomy, and platform teams, you will ensure the delivery of robust on-robot behavior in real-world environments. You will set the technical direction, elevate engineering standards, and guarantee that our models operate efficiently and reliably on constrained hardware in diverse settings.This is a unique opportunity to influence the future of robotic autonomy by converting cutting-edge machine learning into high-performance, production-ready edge deployments that function reliably within complex, dynamic environments on actual robots.

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 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!

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.

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.

About Hive Hive stands at the forefront of cloud-based AI innovations, providing transformative solutions that empower organizations to efficiently understand, search, and generate content. Trusted by some of the world’s largest and most pioneering companies, Hive delivers an extensive portfolio of pre-trained AI models that handle billions of customer API requests each month. Our proprietary AI models and datasets drive industry-leading software applications that redefine content moderation, brand protection, sponsorship measurement, context-based ad targeting, and much more.Having secured over $120M in funding from esteemed investors such as General Catalyst, 8VC, Glynn Capital, Bain & Company, and Visa Ventures, Hive has a thriving workforce of over 250 talented employees across our offices in San Francisco, Seattle, and Delhi. Join us and be part of the future of AI!Machine Learning ManagerAs we strive to realize our ambitious vision, we are expanding our machine learning team and seek an inspiring leader to guide this evolution. Your role will involve nurturing the potential of each engineer, fostering a culture of innovation and excellence. We are looking for individuals who thrive on working with terabyte-scale datasets and are eager to explore new models and novel datasets. The ideal candidate will possess substantial experience in managing teams of machine learning engineers on large-scale ML projects, contribute pioneering ideas, and implement inventive modeling strategies while mentoring junior engineers on their developmental journey.

Join Metropolis as a Machine Learning Engineer focused on growth! In this dynamic role, you will leverage your machine learning expertise to enhance our products and drive innovation. Collaborate with cross-functional teams to design, develop, and implement machine learning models that improve user experience and optimize performance.Your contributions will directly influence our growth strategy and impact the future of our technology. If you are passionate about AI and eager to make a difference in a fast-paced environment, we encourage you to apply!

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.

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.

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.

Be a Force for Good with Axon.At Axon, our mission is to protect life by addressing society's most pressing safety and justice challenges through a suite of innovative devices and cloud software. We thrive on collaboration, valuing diverse perspectives from our customers, communities, and one another.Life at Axon is dynamic, challenging, and impactful. You will be empowered to take ownership and instigate meaningful change. Experience personal growth while dedicating your efforts to a mission that matters at a company where you are valued.Your ImpactAs a Senior Machine Learning Engineer specializing in Sensor Fusion & Tracking, you will engage in the research, design, and validation of sophisticated estimation and probabilistic models that drive Dedrone's real-time airspace awareness systems. Your contributions will underpin the mathematical principles that facilitate multi-sensor fusion, multi-target tracking, and uncertainty modeling in intricate environments. This role presents the unique chance to apply advanced theoretical concepts to operational systems that bolster critical safety initiatives globally.

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!

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.