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.

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

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.

Join Coupang as a Senior Staff Machine Learning Engineer in our AI Foundations team!At Coupang, we are driven by a passion to amaze our customers. We thrive on innovation and are constantly striving to enhance the way people shop, eat, and live. As one of the fastest-growing e-commerce companies, we are disrupting the industry and redefining the landscape of online shopping.In this role, you will leverage your expertise in machine learning to build and implement scalable AI solutions that will have a significant impact on our customers’ experiences. You will collaborate with cross-functional teams to develop cutting-edge technologies that push the boundaries of what is possible.

As a Senior Staff Machine Learning Engineer at Coupang, you will be a pivotal part of our AI Foundations team, driving innovative solutions that enhance our machine learning capabilities. You will collaborate with cross-functional teams to develop scalable models and algorithms that power our e-commerce platform.Your expertise in machine learning frameworks and algorithms will be crucial in optimizing our systems and improving the customer experience. Join us in shaping the future of e-commerce through cutting-edge technology and data-driven insights.

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.

Anduril Industries develops defense technology for the U.S. and allied militaries, bringing modern technical expertise and new business models to the defense sector. The company’s Lattice OS, an AI-driven operating system, transforms multiple data streams into a real-time 3D command and control interface. Core areas include autonomy, artificial intelligence, computer vision, sensor fusion, and networking, all delivered on accelerated timelines. Team: TRS Simulation The TRS Simulation team supports the Tactical Recon & Strike business line by building and maintaining tools, frameworks, and processes for reliable and scalable simulations. The group focuses on four main areas: Simulation Infrastructure Simulation Fidelity Simulation Integrations Training Simulations These efforts enable products like Altius, Ghost, Bolt, and Anvil to move from early development through deployment. Each advance in simulation fidelity and every validated model directly impacts the readiness of autonomous systems for field use. The team aims for a unified simulation framework that adapts to developer laptops, CI pipelines, operator training, and large-scale Monte Carlo campaigns, allowing teams to focus on mission goals rather than infrastructure. What you will do This Software Engineer - Simulation Fidelity role focuses on identifying and addressing where simulated components differ from real-world system behavior. Work involves close collaboration with subsystem experts to design, refine, and validate models within the simulation framework. Daily tasks include analyzing gaps, understanding domain-specific challenges, and engineering solutions to improve simulation fidelity. Data is used to validate changes, and problems often involve multi-physics and multi-rate scenarios, both in real-time and accelerated simulations. Validation cycles may extend over months, as improvements are tested against real flight data and integrated into operational systems alongside ongoing product development.

Anduril Industries develops advanced defense technology for the U.S. and allied military forces, combining expertise from top technology firms with the needs of the defense sector. The company’s products run on Lattice OS, an AI-based operating system that transforms large data streams into a 3D command and control interface. The mission centers on delivering autonomy, AI, computer vision, sensor fusion, and networking capabilities to military teams efficiently. TRS Simulation Team The TRS Simulation team creates the frameworks, tools, and processes that make simulation reliable for the Tactical Recon & Strike business line. Their work covers simulation infrastructure, fidelity, integrations, and training simulations. These efforts support products such as Altius, Ghost, Bolt, and Anvil throughout their lifecycle, from early development to field deployment. Every improvement in simulation fidelity and each validated model directly influences the effectiveness of autonomous systems in real-world missions. The team aims for a unified simulation framework that works seamlessly across all products and deployment targets. This includes developer laptops, CI pipelines, operator training, and large-scale HPC Monte Carlo runs. A single declarative workspace definition can be composed and deployed wherever simulation is required, allowing teams to focus on mission challenges rather than infrastructure. Role overview The Software Engineer - Simulation Integrations role suits an adaptable engineer who thrives on cross-disciplinary work and new challenges. The Sim Integrations sub-team connects the simulation platform with the programs that rely on it. This involves collaborating with program managers, autonomy engineers, systems engineers, operators, and clients across the full range of TRS products and programs. One week may involve setting up a new simulation environment for a field exercise, while the next could focus on refining an existing setup for greater operational efficiency. The pace is quick and priorities may shift, but the team’s simulation environments enable others to create, validate, and deploy autonomous systems. What you will do Understand simulation requirements from different programs Identify gaps in current simulation capabilities Develop actionable plans to address those gaps Execute plans and ensure satisfaction for customers and stakeholders Location Seattle, Washington, United States

Join Anduril Industries as a Senior Modeling and Simulation Engineer, where you'll leverage your expertise in aerospace systems to develop high-fidelity simulations and digital twins for our advanced defense technologies. In this pivotal role, you will contribute to the design and implementation of simulation solutions that support our fleet of innovative drones. Your work will directly influence the development of cutting-edge Guidance, Navigation, and Control (GNC) algorithms, enhancing the capabilities of our autonomous systems in challenging environments.

Why join usAt Brex, we are pioneering a new era in financial management with our AI-driven spend platform. Our mission is to empower businesses with confidence through integrated corporate cards, banking solutions, and global payments, alongside innovative software for streamlined travel and expense management. We proudly serve tens of thousands of clients, from agile startups to major enterprises, including DoorDash, Flexport, and Compass. Our platform enables proactive spend control, cost reduction, and enhanced efficiency across the globe.Joining Brex means pushing your boundaries, challenging conventional wisdom, and collaborating with some of the most innovative minds in the industry. We are dedicated to fostering a diverse team and an inclusive culture, believing that your potential should only be limited by your ambitions. We provide the tools, resources, and support you need to advance your career.AI at BrexOur AI Engineering team at Brex is transforming how businesses manage their finances by embedding intelligent, autonomous systems directly into our platform. We develop AI agents that not only provide insights but also take actionable steps, optimizing spending, managing workflows, and making real-time decisions for our clients. By seamlessly integrating proprietary financial data with our product and platform infrastructure, we simplify complex financial operations into efficient, automated experiences, establishing a new standard in modern finance.Your RoleAs a Senior Software Engineer, you will take charge of Brex's simulation and validation platform for our AI-driven products. Your primary objective is clear: ensure that every AI interface at Brex undergoes rigorous testing under demanding, realistic conditions, enabling our teams to deploy solutions with confidence.You will develop a system that leverages synthetic data and scenario generation in a recursive self-improvement loop. Product teams will depend on this system to identify regressions before they reach our customers, validate new features safely, and continuously enhance prompts and agent behavior. The platform will operate in isolated, ephemeral environments closely resembling production to ensure reliability.This role is not about research; it's about rigorously testing real products, creatively breaking them, and driving the organization towards improvement.Work EnvironmentThis position is based in our Seattle office, where we embrace a hybrid work culture that combines the vibrancy and connection of in-office collaboration with the flexibility of remote work. Team members are required to be in the office three days a week (Monday, Wednesday, and Thursday), with the option for up to four weeks of fully remote work each year!

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.

Anduril Industries builds advanced defense technology for the U.S. and its allies, with a focus on autonomy, AI, computer vision, sensor fusion, and networking. The company’s flagship platform, Lattice OS, uses AI to deliver a real-time 3D command and control environment, supporting military operations with rapid, integrated solutions. Team focus The Simulation Integrations team bridges Anduril’s high-fidelity simulation engine with the live production services that power Lattice. This group ensures simulated entities, sensors, and autonomous systems interact effectively with real-world assets, supporting seamless operation across both simulated and live domains. Role overview The Senior Software Engineer - Simulation Integrations will design and build a core service that connects robot simulations to live production systems. This work enables advanced capabilities such as wargaming and live-virtual constructive (LVC) exercises, and supports the deployment of synthetic environments for broader system integration. What you will do Develop foundational services linking simulation products with live production environments. Support next-generation features, including complex LVC exercises and wargaming scenarios. Work across the stack: manage network infrastructure, deploy with Kubernetes, build backend services, and design database schemas and APIs. Take ownership of the product lifecycle, from design through deployment and integration.

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.

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.

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.