Senior Research Scientist in Computer Vision and Machine Learning

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 …

Anduril Industries is a forward-thinking defense technology firm dedicated to revolutionizing military capabilities through cutting-edge technology. By integrating the innovation, expertise, and agile business models of some of the 21st century's most dynamic companies into the defense sector, Anduril is redefining the design, construction, and deployment of military systems. Our systems leverage Lattice OS, an AI-driven operating system that synthesizes extensive data streams into a real-time, 3D command and control interface. In a time marked by strategic competition, Anduril is devoted to providing state-of-the-art autonomy, AI, computer vision, sensor fusion, and networking solutions to military operations faster than ever before.About the RoleWe are on the lookout for a Staff Software Engineer to spearhead our Distributed Simulation initiatives. In this pivotal role, you will take charge of developing a groundbreaking distributed simulation product that facilitates collaboration among diverse robotic units across multiple physical locations. The ideal candidate will have a robust understanding of the entire product lifecycle, from the initial scoping of user requirements through to the architectural design and implementation of viable solutions.Your ResponsibilitiesYou will leverage your expertise to advocate for design decisions that consider:varied interpretations of “truth” between server and clientlatency challenges between clients and the serveroptimal locations for GPU-intensive computationsthe process of registering new robots within the networkdelivering software updates while ensuring system availabilitytransferring data across isolated networksmonitoring simulation states for comprehensive post-exercise debugging and reporting

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

About Carbon Robotics Carbon Robotics designs and builds the LaserWeeder™, a precision robotics system that uses computer vision, AI, deep learning, and advanced laser technology to eliminate weeds with sub-millimeter accuracy. This approach removes weeds without herbicides, helping farmers reduce environmental impact, improve soil health, and address labor shortages and rising costs. The LaserWeeder was developed in Seattle and is manufactured in Richland, Washington. Backed by $157 million in funding from investors including BOND, NVentures (NVIDIA’s venture arm), Anthos Capital, Fuse Venture Capital, Ignition Partners, Revolution, Sozo Ventures, and Voyager Capital, Carbon Robotics is advancing automated weed management in agriculture. Our Team and Culture We value direct action and practical problem-solving. The team turns concepts into real products, and regularly visits farms to ensure our solutions work as intended. Every team member is trusted to make sound decisions and contribute to meaningful projects. Professional growth, complex challenges, and a clear mission are part of daily work here. Connect with Carbon Robotics YouTube X Instagram LinkedIn News

Join DigitalOcean as a Senior Engineer 2 specializing in Inference Optimizations, where you'll play a pivotal role in enhancing our machine learning infrastructure. You will collaborate with cross-functional teams to develop and implement high-performance solutions that optimize inference processes. If you are passionate about building scalable systems and have a knack for solving complex engineering challenges, we want to hear from you!

Join Opendoor as an AI/ML Platform Engineer, where you will have the opportunity to shape the future of real estate technology. In this role, you will develop and maintain cutting-edge AI and machine learning platforms that drive innovation in our processes and enhance user experience. Collaborate with cross-functional teams to design robust solutions that address real-world challenges and improve operational efficiency.

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.

Quizlet Inc. is looking for an Applied AI Engineer to create AI-driven features that support student learning. This position centers on developing and deploying machine learning solutions aimed at making study experiences more effective and engaging for a global user base. What you will do Design and implement machine learning models to enhance Quizlet’s educational tools Work on features that help students study more efficiently and enjoyably Locations Denver, CO New York, NY San Francisco, CA Seattle, WA

Anduril Industries is at the forefront of defense technology, committed to revolutionizing military capabilities for the U.S. and its allies through innovative technology solutions. By leveraging the expertise and business models of today's most innovative firms, we are transforming how military systems are conceived, developed, and deployed. Our flagship system, powered by Lattice OS—an advanced AI-driven operating system—integrates vast data streams into a cutting-edge, real-time 3D command and control center. In a rapidly evolving global landscape, Anduril is dedicated to delivering state-of-the-art advancements in autonomy, artificial intelligence, computer vision, sensor fusion, and networking technologies to the military in a matter of months rather than years.ABOUT THE ROLEWe are seeking a Senior Technical Product Manager to spearhead the development of simulation infrastructure and capabilities that facilitate the rapid development, testing, and validation of autonomy systems across Anduril. The Lattice Simulation Group is responsible for building essential infrastructure and products that support autonomy development, large-scale testing and evaluation, operational analysis, and wargaming initiatives.In this influential role, you will lead vital projects that necessitate both strategic product vision and extensive technical collaboration across various teams. You will manage complex initiatives such as promoting the adoption of Faster-Than-Real-Time (FTRT) testing for autonomy workflows, establishing requirements for Federation and Live-Virtual-Constructive test infrastructure, and enhancing synthetic environment capabilities. This position requires strong interpersonal skills to foster relationships across different business lines, as well as an in-depth understanding of diverse technical requirements to deliver platform capabilities that accelerate the pace of autonomy development.The ideal candidate will possess a robust background in systems or software development, with a proven ability to quickly assimilate technical concepts. You should be adept at collaborating with engineers and have the analytical skills to delve into the details of system dependencies, technical risks, and the implications of critical architectural decisions. Exceptional execution skills and the ability to navigate ambiguity are essential.

Logic20/20 is on the lookout for a seasoned Lead MLOps Engineer to spearhead and mentor our dynamic data science teams. This role involves harnessing the power of artificial intelligence and machine learning to enhance computer vision and customer intent models. Join us in this thrilling opportunity to impact the industry by developing production-level systems through the application of advanced machine learning models.Key Responsibilities:Design and architect frameworks to predict diverse outcomes across various scenarios.Build, deploy, and enhance machine learning models to meet production standards.Collaborate closely with fellow data scientists and stakeholders on innovative projects.Develop sophisticated solutions utilizing Python.Ensure the delivery of production-grade solutions.Engage with technologies such as Hadoop, Redshift, and Spark.Translate complex business and product inquiries into actionable analytics projects.Effectively communicate insights derived from complex methodologies through clear written and verbal channels.

About the RoleRavenna is seeking a talented AI Engineer with a strong background in developing and deploying production-level systems. Our innovative team merges cutting-edge advancements in large language models (LLMs) with established machine learning methodologies to create intelligent product experiences that stand out in the market.This position demands solid engineering principles and an insatiable curiosity about the operational aspects of AI systems. You will be responsible for designing, constructing, and maintaining LLM-powered systems that are reliable, scalable, and seamlessly integrated into our product workflows.Your role will encompass the full technology stack, from designing AI architectures to building backend infrastructures and implementing product features. You will iterate rapidly based on user feedback and performance evaluations. At Ravenna, we emphasize robust engineering practices and expect our AI Engineers to be meticulous about system design, observability, performance, and reliability.If you are passionate about leveraging advanced AI to transform established markets, we would love to hear from you.ResponsibilitiesBuild Production AI SystemsDevelop and implement systems that seamlessly integrate LLMs into real-world product workflows, including prompt pipelines, tool integrations, and structured outputs.Design Reliable LLM ArchitecturesCreate robust systems that anticipate model limitations and potential failure modes, incorporating safeguards, retries, evaluation loops, and observability into production-ready LLM features.Develop Evaluation and Experimentation FrameworksEstablish evaluation datasets and tools to measure model performance, facilitate system design iterations, and prevent regressions as models and prompts evolve.Build Retrieval and Knowledge SystemsDesign and optimize retrieval pipelines that support LLM applications, focusing on chunking strategies, indexing methods, vector search, and enhancing the quality and speed of knowledge retrieval.Ship High-Quality Product FeaturesCollaborate with product, design, and engineering teams to develop polished features that utilize AI in user-friendly and impactful ways.Maintain Strong Engineering StandardsWrite clean, maintainable, and well-tested code. Contribute to system architecture, engage in code reviews, and participate in engineering processes to ensure platform reliability and scalability.

About Us:At Brooks, we believe that movement is essential to feeling truly alive. Our mission is to craft innovative gear and experiences that inspire people to embrace movement, whether that be in their minds, their hearts, or at the finish line. Everyone at Brooks is motivated by a vibrant company culture that fosters excitement, encourages collaboration, sparks creativity, and drives innovation. We are united by our core values that guide us towards success: · Runner First: We prioritize the needs of runners.· Word is Bond: We uphold our commitments.· Champion Heart: We give our best in every endeavor.· There is no “I” in Run: We value teamwork and humanity.· Keep Moving: We discover ways to find joy through movement every day! We welcome individuals from all backgrounds who aspire to inspire others through the power of movement—because we’re all on a journey towards something extraordinary. Let’s embark on that journey together!

Maxana is on the lookout for a highly skilled Infrastructure Engineer to join our dynamic team, supporting a confidential client in the rapidly evolving field of artificial intelligence. In this pivotal role, you will be responsible for designing, implementing, and maintaining the robust platform layer that underpins large-scale machine learning (ML) training, inference, and deployment. This opportunity allows you to make a significant impact at the intersection of cloud infrastructure and ML systems.Key ResponsibilitiesDevelop and sustain the infrastructure that supports extensive ML training and inference workloads.Engage with GPU and compute infrastructure, distributed systems, and cloud-native platforms.Enhance the reliability, observability, and performance of the platform layer.Collaborate closely with senior engineers and product teams to influence architectural decisions.Take ownership of production reliability, including monitoring, incident response, and proactive risk management.Create and maintain internal tools and automation to enhance engineering operations.

Join our team at the Allen Institute for AI in Seattle, where we are dedicated to pioneering advancements in artificial intelligence research. This position requires on-site collaboration, with specific arrangements varying by team. Inquire with your recruiter for details.Our competitive salary range for this role is between $126,000 and $189,000, supplemented by an attractive bonus structure.About You:We are seeking a talented Senior Data Engineer to enhance the data infrastructure that powers our AI research initiatives. You will significantly contribute to the Semantic Scholar corpus by expanding its scope and elevating the quality of existing data. This role involves creating scalable APIs and tools that support our AI agents in their exploration of scholarly literature.Your work will bridge data engineering with applied machine learning, allowing you to manage data pipelines, design schemas, and deploy production services while implementing practical machine learning techniques—such as entity resolution and text classification—to refine data quality and enrich metadata.About Us:The Agentic Applications team at the Allen Institute for AI is dedicated to building robust, open-source systems that facilitate scientific discovery and large-scale AI research. We focus on developing high-quality structured datasets, integrating diverse content types, and enabling applications for search, citation analysis, and model training. Our team emphasizes strong engineering practices and close collaboration with Ai2’s product and research organizations to deliver tools and infrastructure utilized by millions of researchers and developers around the globe.Your Responsibilities:Enhance the coverage and quality of the Semantic Scholar corpus, including academic papers, patents, and specialized datasets.Develop and maintain scalable data pipelines for corpus integration, citation resolution, and metadata enhancement.Implement and launch machine learning models for tasks such as entity disambiguation, author linking, and topic classification.Design and improve APIs that provide structured scholarly data for academic researchers and AI workflows.Contribute to the development of dashboards and tools that assess data quality and model performance.Work collaboratively with engineering and research teams to ensure code maintainability, test coverage, and reliable deployment.

Join Anthropic as a Research Engineer specializing in Search and Knowledge Post-Training. This role offers a unique opportunity to contribute to cutting-edge AI research and development, while collaborating with a talented team in a remote-friendly setting. You will be responsible for enhancing our search capabilities and knowledge management systems, ensuring high-quality outputs that align with our mission to make AI systems more interpretable and user-friendly.

About UsAt Vercept, we are an energetic and mission-focused team with a proven history of academic excellence. Our talented researchers have made significant contributions to the field of artificial intelligence, receiving accolades such as best paper awards at leading AI conferences and achieving remarkable citation rankings. We are committed to pioneering transformative research that sets new standards in the industry and aim to revolutionize the world—one innovative breakthrough at a time.What We Seek & Why You Should Join UsWe are in search of a Backend Engineer specializing in Inference Optimization who is passionate about tackling some of the most challenging systems issues in AI. In this role, you will focus on enhancing the performance of foundation model inference, operating at the cutting edge of machine learning and high-performance systems engineering. This is an exciting opportunity to establish new standards for latency, throughput, and efficiency on a large scale.Role OverviewAs a Backend Engineer, you will take ownership of the design and optimization of inference pipelines for large-scale models. Collaborating closely with researchers and infrastructure engineers, you will identify bottlenecks and implement advanced techniques such as quantization and KV caching, ensuring the deployment of high-performance serving systems in production. Your contributions will directly influence how swiftly and cost-effectively users engage with next-generation AI.What We Expect From YouEssential Qualifications:Extensive experience in optimizing model inference pipelines, including model quantization and KV caching.Strong proficiency in backend systems and high-performance programming languages (Python, C++, or Rust).Familiarity with distributed serving, GPU acceleration, and large-scale system architectures.Proven ability to debug complex performance issues across model, runtime, and hardware layers.Adaptability to work in fast-paced environments with ambitious technical objectives.Preferred Qualifications:Practical experience with vLLM or similar inference frameworks.Background in GPU kernel optimization (CUDA, Triton, ROCm).Experience in scaling inference across multi-node or heterogeneous clusters.Prior involvement in model compilation (e.g., TensorRT, TVM, ONNX Runtime).Hands-on experience with model quantization strategies.

Individuals in this position are required to work from our Seattle offices. On-site work expectations vary by role and team. If you have inquiries regarding on-site arrangements for this position, please reach out to your recruiter.Our base salary range is between $170,000 and $220,000, complemented by generous bonus plans to ensure a competitive compensation package.About Us:We are a non-profit AI institute dedicated to pioneering foundational research and innovation in AI, delivering tangible impacts through expansive open models, data, and artifacts (e.g., Olmo, Tulu, Molmo). Our mission is to bring together the most talented scientific and engineering professionals to explore the vast potential of open AI. Through groundbreaking initiatives like the Olmo releases, we aim to empower academics, researchers, and AI developers to enhance language models and generative AI.Our team engages in diverse AI research, including pre-training and post-training language models, data curation across modalities, and the development of innovative methodologies. We rigorously study and evaluate AI models both theoretically and empirically to enhance their functionality. Additionally, we focus on creating impactful real-world applications in scientific synthesis, striving to develop state-of-the-art models for scientific discovery, reasoning, and factual recall.Your Challenge:As a core member of our research and machine learning engineering team, you will contribute to exciting projects, leveraging your hands-on experience in a fast-paced environment.

Scale AI is seeking a Senior AI Infrastructure Engineer to help build and refine the company’s Training Platform. This position centers on designing, implementing, and improving infrastructure that supports machine learning teams as they train and deploy models. Role overview This engineer will work closely with colleagues across different functions to create solutions that make AI systems more efficient. The focus is on enabling faster, more reliable model training and deployment. Key responsibilities Design and build infrastructure for AI model training Implement and optimize systems to support machine learning workflows Collaborate with teams throughout the company to improve platform capabilities Locations This role is based in San Francisco, Seattle, or New York.

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.