Machine Learning Postdoctoral Researcher in LLMs & Generative AI

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 ambit…

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.

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.

Be a Force for Good with Axon.At Axon, our mission is to Protect Life. We tackle some of society's most pressing safety and justice challenges through our innovative devices and comprehensive cloud software. Our collaborative culture thrives on open communication and diverse perspectives from our customers and communities, as well as from each other.Working at Axon is fast-paced, challenging, and deeply rewarding. You will have the opportunity to take ownership and drive significant change, continually growing while contributing to a mission that truly matters at a company that values your contributions.Your ContributionWe are in search of a talented and forward-thinking Senior Research Scientist to join our AI team concentrating on computer vision and machine learning (CVML). In this role, you will be instrumental in developing AI solutions that enhance both enterprise and public safety, furthering our mission to accelerate justice, uphold truth, and save lives. You will push the boundaries of CVML and multimodal technology, applying your research to develop responsible AI capabilities for Axon’s products. Collaboration with product managers, engineers, and cross-functional teams will be key to training models and creating cutting-edge algorithms that facilitate intelligent understanding of visual data.At Axon, we set ambitious goals. We are visionary thinkers with a long-term perspective, as we strive to revolutionize the world into a safer and better place. If you are excited about this opportunity and our mission to Protect Life, but your experience doesn’t align perfectly with every qualification listed, we still encourage you to apply. You may be the perfect fit for this or other roles.

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.

Are you excited about pushing the frontiers of artificial intelligence and machine learning? Cobot, a forward-thinking startup, is on the lookout for a skilled AI Research Engineer to become a vital part of our Foundational Models AI team. This position is perfect for those who are both researchers and builders, capable of transforming groundbreaking concepts into functional prototypes that redefine intelligent systems.In this dynamic role, you will collaborate closely with an agile team of AI researchers and engineers, delving into areas such as reinforcement learning, transformer-based architectures, and diffusion models. Your responsibilities will include designing, developing, and rapidly iterating on machine learning experiments, contributing significantly to the evolution of foundational models that will shape the future of autonomous systems and intelligent robotics.Join us in reimagining the landscape of human-robot interaction.Cobot is a collective of innovators and creators dedicated to transforming the future of human-robot interactions. We envision a world where robots seamlessly integrate into our everyday lives, functioning and adapting around us rather than the other way around.This position is based onsite at our Seattle, WA office.Cobot offers a relocation stipend for candidates moving to Seattle from over 50 miles away.

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.

About Xaira TherapeuticsXaira Therapeutics is a pioneering biotech startup dedicated to harnessing the power of artificial intelligence to revolutionize drug discovery and development. Our innovative team is at the forefront of creating generative AI models that facilitate the design of protein and antibody therapeutics, enabling the development of medications targeting historically challenging molecular entities. We are also working on foundational models that enhance our understanding of biology and disease, leading to improved target identification and patient stratification. Together, these advancements strive to continuously uncover novel therapies and enhance the efficiency of drug development processes. Headquartered in the vibrant tech hubs of the San Francisco Bay Area, Seattle, and London, Xaira is positioned to make a global impact in healthcare.About the RoleWe are on the lookout for a skilled AI Research Engineer to join our dynamic team. As an integral member of our interdisciplinary unit, you will work closely with AI scientists, engineers, and drug discovery specialists to develop and implement AI models aimed at expediting the discovery and development of innovative therapeutics. This position presents an exciting opportunity to apply state-of-the-art AI methodologies in practical settings to tackle critical healthcare challenges and contribute to enhancing global health outcomes.We seek candidates with a proven track record in building and deploying machine learning systems in industrial contexts, emphasizing rigor, scalability, and cross-functional collaboration. The ideal candidate will possess experience in transforming research concepts into robust, production-ready applications that deliver measurable results.

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.

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.

The Allen Institute is seeking interns for its Robotics team in Seattle, WA. This full-time, 12-week research internship welcomes undergraduate, master's, and PhD students with a focus on AI-related fields. Interns are expected to work on-site at the Seattle office, though specific arrangements may vary by team. For questions about work location or flexibility, contact the recruiter directly. Role overview Interns will join a group dedicated to advancing robotics research. The work centers on tackling challenges in foundation models and robotics competencies. Projects may involve contributing to open datasets, developing benchmarks, and building resources that serve the broader robotics community. Who can apply Open to undergraduate, master's, and PhD students in AI-related disciplines Strong interest in robotics, computer vision, machine learning, natural language processing, agents, or embodied AI International applicants welcome; visa sponsorship is available Applicants should have a solid research background Internship details Full-time, 12-week program Start dates are flexible On-site in Seattle, WA Compensation Annualized compensation rates depend on current degree enrollment: Undergraduate Research Intern: $94,320 per year Master's Research Intern: $106,110 per year PhD Research Intern: $140,000 per year

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.

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.

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 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.

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!