Senior Machine Learning Engineer I

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 w…

Join our innovative team at Twitch as a Software Engineer I specializing in Monetization Machine Learning. In this role, you will be integral in developing and implementing machine learning models that enhance our monetization strategies, ensuring a better experience for creators and viewers alike. You will work alongside talented engineers and data scientists to build scalable solutions that drive growth and improve our platform.

Join the innovative 3D Simulation team at Zoox, where we are on the forefront of merging artificial intelligence with 3D graphics. We are seeking skilled Machine Learning Engineers to advance our sensor simulation capabilities (including cameras, lidar, and radar). In this role, you will leverage cutting-edge GenAI/ML technologies to bridge the gap between virtual simulations and real-world applications. You will have access to unparalleled sensor data and a robust testing infrastructure, enabling you to develop and validate advanced algorithms. Collaborate closely with our Sensor Simulation, Perception, and Verification & Validation teams to enhance the accuracy and realism of our sensor simulations. Your contributions will be pivotal in generating high-fidelity synthetic data to train autonomous vehicle AI systems and in providing real-time sensor data for hardware-in-the-loop simulations.

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 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 Signifyd, a leader in eCommerce fraud protection, as a Senior Machine Learning Engineer I / II. In this role, you will leverage advanced machine learning techniques to enhance our fraud detection systems. You will work collaboratively with a team of talented engineers and data scientists to develop innovative solutions that protect businesses from fraud.

Role overview Quizlet is looking for a Machine Learning Engineer to join the Monetization and Decision Systems team. The focus is on building models that help drive user engagement and support revenue growth using data-driven approaches. What you will do Design and implement machine learning models that contribute to monetization strategies and decision-making systems. Collaborate with engineering, product, and design teams to deliver solutions that scale. Apply machine learning skills to develop products used by millions of learners. Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Join the dynamic 3D Simulation team at Zoox, where innovation meets cutting-edge technology! We are seeking talented Senior Machine Learning Engineers to spearhead the simulation of advanced sensors, including cameras, LiDAR, and radar. By integrating Generative AI and machine learning with state-of-the-art 3D graphics techniques, you will help bridge the gap between simulation and real-world applications. You'll work with unparalleled sensor data and utilize our exceptional infrastructure to rigorously test and validate your algorithms. Collaborate closely with our Sensor Simulation, Perception, and Verification & Validation teams to continually enhance the accuracy and fidelity of sensor simulations. Your contributions will play a pivotal role in generating high-quality synthetic data for training and validating autonomous vehicle AI systems, as well as providing real-time sensor data for hardware-in-the-loop simulations.

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.

Be a Force for Good with Axon.At Axon, our mission is to Protect Life. We tackle society's most pressing safety and justice challenges through our innovative devices and cloud software. Our collaborative culture fosters open communication and values diverse perspectives from our clients and communities. Working at Axon means being part of a dynamic, impactful environment where you will take initiative and drive significant change. Join us to grow personally and professionally while contributing to a cause that truly matters.Your ImpactAre you passionate about creating AI products that have a positive impact on society? As a Senior Machine Learning Engineer at Axon, you will play a vital role in developing AI solutions that enhance public safety and advance our mission to accelerate justice and protect lives. You will collaborate closely with fellow ML engineers and scientists to integrate cutting-edge AI capabilities into Axon’s suite of products (including Fleet, Draft One, Axon Air, VR, and more) through the training, evaluation, testing, and deployment of machine learning models on both Axon devices and cloud platforms. Your work will span various AI domains, including computer vision, speech recognition, and natural language understanding, as part of a multidisciplinary team.What You’ll DoLocation: Hybrid work arrangement from our Seattle, Washington office.Reports to: Manager, Machine Learning EngineeringWork collaboratively with scientists and product managers to develop proof-of-concept (POC) solutions that will shape the future of Axon.Design and implement secure, privacy-focused solutions that facilitate the continuous enhancement of existing AI models.Create platforms that streamline research and accelerate AI product development.Partner with scientists to architect and deploy state-of-the-art training techniques.Set exemplary standards for ethical and responsible AI development.What You BringBachelor’s Degree in Computer Science, Engineering, Electronics, Mathematics, or a related technical field.Over 6 years of software engineering experience with a proven history of deploying AI models in cloud environments.Experience with Infrastructure-as-Code and cloud architecture.Proficiency in Python and C++, with familiarity in machine learning frameworks.

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.

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.

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!

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.

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’s Advanced Technology Group is looking for a Machine Learning Intern at the master’s level for Fall 2026. This internship centers on visual search and recommendation systems, blending research and engineering in a collaborative environment. Interns may help launch new features for millions of users or take part in academic research projects. Role overview This 12-week paid internship runs from September 21 to December 11, 2026. Work may be remote or hybrid, with office locations available in San Francisco, Palo Alto, Seattle, or New York. Team placement determines whether the role is remote or hybrid. What you will do Build and launch new user features using internal datasets and machine learning techniques. Conduct research focused on visual understanding and recommendation systems. Work closely with engineering teams and take part in external collaborations or mentoring. Contribute to features that may reach millions of users or support research for academic publication. Locations San Francisco, CA Palo Alto, CA Seattle, WA New York, NY Remote (team dependent) Internship details 12-week program: September 21 to December 11, 2026 Paid internship Remote or hybrid work (based on team) Application note Applying to this position enters candidates into consideration for multiple machine learning internship roles across Pinterest’s ML teams. Submit only one application within the USA or Canada; multiple applications may delay review.

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.

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

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.