Supported by top-tier Silicon Valley investors, Peregrine Technologies is dedicated to assisting public safety organizations, state and local governments, federal agencies, and private-sector institutions in tackling societal challenges with unmatched speed and precision. Our AI-driven platform transforms fragmented data into actionable insights—quickly presenting mission-critical information that empowers informed decisions and enhances outcomes at every level. Currently, we serve hundreds of clients across over 30 states and two countries, impacting more than 125 million individuals, and we are poised to broaden our reach into enterprise sectors and international markets.TeamAt Peregrine, we hold a strong belief that empathy is key to our solutions. Understanding user interactions with our products is crucial, and our engineers work closely with the team on-site to explore the diverse use cases that our platform addresses.We prioritize both accountability and teamwork; you will take full ownership of significant features while collaborating with fellow engineers to ensure their successful completion. We value humility and empathy as vital components in crafting effective solutions—you'll engage directly with our deployment team and users as we refine our offerings to meet their needs. Creativity and perseverance are essential in realizing our vision.RoleAs a key member of our engineering team, you will play a pivotal role in delivering unique value to our clients. Your mission will be to create powerful, intuitive user experiences powered by generative AI, allowing users to engage with our platform in innovative ways. Your contributions will help develop safe, impactful AI-driven features that enable customers to solve real-world challenges more swiftly and effortlessly.Your responsibilities will encompass a variety of complex tasks, including scaling our platform to manage terabytes of data from multiple sources, efficiently querying and notifying users in real-time, and optimizing search algorithms for rapid result delivery.Our technology stack is continuously evolving, built on a backend foundation of Python, Django, Celery, Airflow, and Kafka; a frontend developed with React, Redux, and Mapbox; data storage solutions including PostgreSQL and Elasticsearch; machine learning models hosted on Bedrock and Sagemaker; and supported by AWS, Pulumi, Terraform, and Kubernetes for our infrastructure.About YouA strong desire and initiative to take ownership of large components of our projects.Experience with machine learning frameworks and concepts.Proficient in Python and familiar with web development frameworks.Ability to work collaboratively in a team environment.A passion for developing innovative solutions to complex problems.

Join us in creating the most dependable on-demand logistics engine for last-mile retail delivery! We are on the lookout for a seasoned machine learning engineer to aid in the development of cutting-edge growth and personalization models that will elevate DoorDash's expanding retail and grocery services.About the RoleWe are seeking a dedicated Applied Machine Learning expert to become part of our innovative team. As a Staff Machine Learning Engineer, you will conceptualize, design, implement, and validate algorithmic enhancements that enrich the growth and personalization experiences central to our rapidly evolving grocery and retail delivery business. Leveraging our advanced data and machine learning infrastructure, you will implement novel ML solutions to enhance the consumer search experience, making it more relevant, seamless, and enjoyable across grocery, convenience, and various retail sectors. A strong command of production-level machine learning and proven experience in addressing end-user challenges while collaborating effectively with multidisciplinary teams is essential.This position will report to the engineering manager on our Personalization team and is expected to be hybrid, combining both in-office and remote work (#LI-Hybrid).

Join Decagon as a Staff Software Engineer specializing in Machine Learning Infrastructure. In this role, you will play a crucial part in enhancing and optimizing our machine learning systems. You will collaborate with a talented team of engineers to build scalable and efficient infrastructure that supports our AI-driven initiatives.As a key contributor, you will leverage your expertise in software engineering and machine learning to solve complex challenges and drive innovation. Your work will impact various projects and help shape the future of our technology.

The Machine Learning Observability team at Datadog is at the forefront of developing innovative tools designed to monitor, interpret, and enhance AI systems deployed in production environments, with a special focus on Large Language Models (LLMs) and generative AI technologies. Our solutions provide comprehensive and scalable observability for AI workloads, including drift detection, model evaluation, and behavior tracing, empowering our clients to deploy AI confidently. As a Staff Software Engineer, you will be instrumental in driving the development of new features and core capabilities within Datadog’s LLM Observability product. You will influence product strategy, lead experimental initiatives, and leverage your extensive knowledge of AI systems and software engineering to tackle complex challenges in the rapidly evolving AI domain. Your contributions will have a significant impact on how our customers monitor, diagnose, and optimize LLM-powered applications in production. Join us in creating the essential tools that ensure AI systems are observable, comprehensible, and dependable in real-world applications. At Datadog, we value our office culture which fosters relationships, collaboration, and creativity. We operate within a hybrid work model to enable our Datadogs to achieve a work-life balance that suits them best.

Join DeepWalk as a Staff Software EngineerAt DeepWalk, we are pioneering advancements in computer vision to ensure safer and more accessible sidewalks across cities. Our innovative solutions are utilized by municipalities, educational institutions, and engineering firms to enhance public safety.Over the past year, we have successfully processed thousands of miles of sidewalks across over 20 states, generating millions of labeled data points critical for real-world infrastructure planning. With a funding of $4.1M and a recent $2.1M seed round led by Enable Ventures, we are on a trajectory of significant growth, currently achieving seven-figure revenues and making a tangible impact in communities nationwide.Your RoleAs a Staff Software Engineer at DeepWalk, you will guide the technical strategy for our cutting-edge computer vision platform, focusing on automated sidewalk inspections. This role will challenge you to solve complex, high-stakes problems involving extensive imagery, production-grade ML systems, and robust data pipelines capable of handling hundreds of terabytes of data.You will collaborate with a team of seasoned engineers, influence the technical direction, and help establish scalable practices that enhance our operational efficiency.Our current tech stack comprises Python-based CV/ML systems on AWS, optimized for processing vast amounts of geospatial and visual data.

Why Choose Charlie Health?Across the nation, countless individuals are facing mental health challenges, substance use disorders, and eating disorders. Unfortunately, many encounter obstacles to obtaining the care they need, such as limited local options and lengthy wait times. Behavioral healthcare often fails to provide the personalized support that individuals require, leaving them feeling overlooked and unsupported.At Charlie Health, our mission is to transform this landscape. We strive to connect individuals to crucial behavioral health treatment through personalized, virtual care that fosters connections between clients and clinicians, care teams, loved ones, and their supporting communities. By prioritizing those with complex needs, we are enhancing access to significant care and achieving improved outcomes—all from the comfort of home.As a rapidly expanding organization, we are reaching more communities daily, and we are assembling a team dedicated to redefining behavioral health treatment. If you are eager to leverage your skills to create meaningful change and help individuals access the care they deserve, we invite you to join us.About the RoleCharlie Health is a leader in high-acuity virtual behavioral care, having provided life-saving treatment to over 100,000 clients across the nation. Our Matching and Outcomes team is responsible for developing products that assess and enhance clinical outcomes, including systems for provider recommendations and clinical decision support tools, ensuring effective treatment. You will design predictive models and workflows to connect patients with the most suitable therapists and peers, enabling clinicians to customize care to meet each client's unique needs. The systems you develop will empower clinicians to condense and synthesize insights from our clients and providers into actionable guidance at every step. If you are passionate about utilizing data-driven insights to enhance outcomes, this team is for you.

Join the DeepWalk TeamDeepWalk is an innovative and rapidly expanding venture dedicated to enhancing urban safety through advanced computer vision technology. Our mission is to meticulously map and oversee sidewalks, ensuring the welfare of city inhabitants. We collaborate with cities, educational institutions, and engineering firms, establishing a solid foundation for community safety.In the past year, we’ve successfully analyzed thousands of miles of sidewalks across more than 20 states, generating millions of labeled data points that inform critical infrastructure decisions. We have raised $4.1 million in funding, recently closing a $2.1 million seed round led by Enable Ventures, while generating 7-figure annual revenues to support communities nationwide.Position Overview: Staff Software Engineer — Computer Vision PlatformCompensation: $150,000 – $190,000 base salary plus equity · RemoteWe are seeking a Staff Software Engineer to guide the technical development of DeepWalk’s computer vision platform for automated sidewalk inspections. This pivotal role involves addressing large-scale challenges related to imagery, production ML systems, and data pipelines that manage extensive datasets.Your Impact: You will be instrumental in processing, analyzing, and extracting insights from millions of images, thereby supporting cities in their quest to build safer and more accessible infrastructure.Collaborating with a team of seasoned engineers, you will set technical directions and establish scalable patterns for the team.Our current technology stack includes Python-based CV/ML systems operating on AWS, with data pipelines designed for high volumes of imagery and geospatial data.

Join Coupang as a Staff Machine Learning Engineer, where you will play a pivotal role in developing innovative machine learning solutions that drive business growth and enhance customer experience. You will collaborate with a talented team of engineers and data scientists to build scalable and efficient machine learning models.

Are you ready to transform the advertising landscape? At Cognitiv, we are more than just an AdTech company; we are pioneers reshaping media buying through our state-of-the-art Deep Learning Advertising Platform. Since 2015, we have leveraged advanced deep learning technology and data science to redefine how brands engage with their audiences. Our mission is to infuse intelligence into advertising, delivering unmatched precision, relevance, and impact at scale. With our innovative platform, advertisers benefit from exceptional flexibility, whether it’s activating Dynamic Deals via their chosen DSP, utilizing our managed service DSP, or engaging with our revolutionary ContextGPT product. Joining Cognitiv means you'll be at the helm of AI-driven advertising solutions, influencing change and fostering remarkable growth in this dynamic sector. We are expanding our team!The RoleWe are on the lookout for one of the industry's finest ML inference engineers—an individual eager to architect and scale a pioneering inference system that will serve as the backbone of Cognitiv’s ML-driven products.In this pivotal role, you will shape the concept of inference at Cognitiv and lead collaborative efforts across the organization to bring this vision to fruition. You will develop performance-critical systems facilitating real-time decision-making for some of the world’s leading brands while contributing to the future of AI in AdTech.This position is foundational and high-impact, presenting a unique opportunity to construct both the system and the team around one of the company’s most strategic technical pillars.What You’ll DoBuild Production AdTech Systems: Design and implement robust software and infrastructure that supports large-scale machine learning models in real-world production settings.Optimize for Performance at Scale: Enhance throughput and latency using a combination of industry-standard frameworks and bespoke solutions tailored to Cognitiv’s requirements.Set the Vision & Influence Execution: Establish the technical direction for inference projects, articulate a clear vision, and motivate teams across the company to align and execute accordingly.Bridge Research to Production: Identify long-term risks and emerging technical innovations, collaborating closely with Research, Product, and Engineering teams to translate ML capabilities into tangible business outcomes.

ABOUT SAILDRONESaildrone is a pioneering maritime defense company, recognized globally as the leader in autonomous unmanned surface vehicles (USVs). With unparalleled operational experience and more ocean miles traversed than any other USV manufacturer or operator, Saildrone actively deploys combat-ready systems that support national security and force projection worldwide, operating 24/7/365.Located in Alameda, CA, Saildrone's manufacturing and R&D headquarters drive innovation, with business development and sales operations based in Washington, DC, and deployment hubs strategically positioned in Europe and the Middle East. By merging proven autonomous operations, cutting-edge edge computing, advanced sensing technologies, and renewable energy sources, Saildrone is redefining the operational capabilities of the Navy for the future. Join a dynamic, mission-focused team that is leading the charge in maritime security and autonomous advancements.ROLE OVERVIEWWe are in search of a Staff Machine Learning Engineer to join our innovative team. Reporting to the Engineering Manager of Machine Learning, you will be integral in designing, deploying, and scaling machine learning systems that foster autonomy and deliver real-time intelligence across Saildrone’s global fleet. You will enhance Saildrone’s model portfolio and ensure robust, high-performance inference on edge hardware within complex maritime environments. We seek a technical leader who excels in navigating ambiguity, drives holistic project execution, and assumes ownership of production ML systems in mission-critical scenarios.This position requires onsite presence in Alameda, CA three days a week as part of our hybrid work model. Remote work is not an option.TEAM INSIGHTThe Machine Learning team is tasked with developing and deploying models that enhance perception, autonomy, and intelligence across Saildrone’s fleet of autonomous surface vehicles. Our focus is on constructing scalable, high-performance ML systems that convert multimodal sensor data into actionable insights, facilitating continuous maritime awareness in national security and defense contexts.KEY RESPONSIBILITIESProduction & Mission Impact: Create and implement production-grade ML models for real-time perception to identify, classify, and track high-value targets, enabling USVs to function continuously in challenging and hostile maritime environments.Edge Architecture & Autonomy: Oversee the complete ML lifecycle architecture, ensuring model reliability on NVIDIA Jetson/AGX platforms and advancing autonomous decision-making processes.

About the RoleJoin bjakcareer as we create an innovative AI system that understands context throughout conversations, proactively plans actions, and effectively carries tasks forward over time.In this role, you will transform research directives into operational, production-ready machine learning systems. You will oversee the execution layer of our AI intelligence, including training pipelines, inference systems, evaluation tools, and deployment processes.What You'll DoDevelop and maintain comprehensive ML pipelines covering data management, training, evaluation, inference, and deployment.Optimize and fine-tune models utilizing cutting-edge methodologies like LoRA, QLoRA, SFT, DPO, and distillation.Design and manage scalable inference systems, ensuring a balance of latency, cost, and reliability.Create and oversee data systems that ensure high-quality synthetic and real-world training data.Implement evaluation pipelines that assess performance, robustness, safety, and bias, collaborating with research leaders.Manage production deployments, focusing on GPU optimization, memory efficiency, latency reduction, and scaling strategies.Work closely with application engineers to seamlessly integrate ML systems into backend, mobile, and desktop applications.Make practical trade-offs and deliver enhancements quickly, leveraging real-world usage data.Operate under real production constraints such as latency, cost, reliability, and safety.Tech StackPythonPyTorch / JAXGPU-based training and inference systemsIdeal ExperienceExperience in developing or deploying real-world ML systems that have been utilized by users, beyond mere demonstrations.Familiarity with large models and understanding their failure modes.Proficiency in writing robust, production-grade code with a focus on system accuracy and reliability.Demonstrated self-direction, pragmatism, and a strong sense of ownership over project outcomes.Excellent communication and collaboration skills, thriving in small, high-trust teams.

Join Playlab as a Staff Machine Learning EngineerAt Playlab, we are a pioneering tech non-profit focused on empowering educators and students to become informed consumers and innovators in the field of AI.Our mission revolves around a community-centric, open-source approach to educational AI. By providing essential tools and hands-on professional development, we enable educators and students to design tailored AI applications that fit their unique educational contexts. To date, over 60,000 educators have successfully published apps through Playlab, and our impact continues to expand.We view AI as a transformative design material, one that should be shaped collaboratively to realize diverse visions of learning. If you are passionate about crafting equitable and innovative futures for educators and students, we invite you to be part of our journey.The RoleWe are searching for a Staff Machine Learning Engineer to enhance our dynamic Engineering team. In this role, you will explore and experiment with cutting-edge AI technologies, transforming them into practical solutions for educators. Your work will bridge the gap between advanced machine learning and actual educational needs, ensuring that frontier AI is both safe and accessible within educational environments.Key ResponsibilitiesDesign and develop evaluation systems that gauge the quality of educational AI across numerous interactions, focusing on learning outcomes, bias detection, and curriculum alignment.Construct ML systems that facilitate self-improving app creation, utilizing insights from high-quality apps on our platform to automatically scaffold new applications for educators.Create and prototype downloadable, on-device AI models that function offline, ensuring privacy and global accessibility.Develop systems that support dynamic interfaces that adapt to learning moments, seamlessly transitioning between chat, writing editors, and interactive simulations.Establish content moderation and safety systems specifically tailored for educational conversations.Implement agentic AI systems that enable educators to craft goal-oriented applications (e.g., guiding students through projects over two weeks).Build advanced RAG systems that integrate diverse educational content with semantic search and knowledge graphs.And more…ExpectationsConduct research, prototype, and implement machine learning systems that empower educators.

Waymo is a pioneering autonomous driving technology firm dedicated to becoming the world’s most reliable driver. Originating as the Google Self-Driving Car Project in 2009, Waymo has committed itself to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access while aiming to save thousands of lives lost in traffic accidents. The Waymo Driver underpins Waymo’s fully autonomous ride-hailing services and can be adapted across various vehicle platforms and applications. With more than ten million rider-only trips completed, it has driven over 100 million miles on public roads and tens of billions of miles in simulations across 15+ U.S. states.In this hybrid role, you will work closely under the guidance of a Technical Lead in Planner Technology.Your Responsibilities:Analyze driving behavior issues from logs to identify underlying causes.Enhance the performance of cutting-edge machine learning models in the Planner.Build foundational frameworks to further the capabilities of the Waymo Driver.Broaden the influence of machine learning models while maintaining interpretability and behavioral assurances.Contribute to solving some of the most complex driving scenarios.

At Riot Games, our engineers possess a profound expertise in their respective technical domains while thriving on the opportunity to explore a diverse array of projects. As a Staff Software Engineer, you will engage in initiatives that promote team synergy and collaborative goals across various teams. You will lead by influence, exemplifying exceptional engineering practices for your peers. Your mission will be to facilitate the production deployment of machine learning solutions globally for Riot Games. By employing contemporary MLOps methodologies, you will enhance deployment processes, simplify operational tasks, and establish robust infrastructures that empower data scientists, ML engineers, and product teams to deliver impactful results swiftly and with assurance. In this role, you will architect and execute strategies for model deployment, monitoring, and lifecycle management. You will be instrumental in creating vital infrastructures that support diverse AI/ML applications, such as model orchestration, feature stores, and vector databases. Your contributions will facilitate the adoption and operational efficiency of ML and AI across Riot, enabling our game and platform teams to implement high-impact machine learning solutions effectively.

Join our innovative Prediction & Behavior ML team at Zoox, where we are at the forefront of developing cutting-edge machine learning algorithms that analyze and predict driving behaviors from complex data sets. Our algorithms are pivotal in enhancing both on-vehicle driving decision-making and off-vehicle simulation and validation processes. By closely collaborating with the Planner team, we ensure a seamless integration of behavior forecasting and motion planning, driving the advancement of our autonomous vehicle technology. Furthermore, our partnerships with the Perception, Simulation, and Systems Engineering teams enable us to rigorously validate and refine our driving performance.As a Learned Trajectory Machine Learning Engineer, you will be instrumental in designing and implementing advanced deep learning models that generate accurate trajectories for our vehicles. Your work will directly impact the integration of behavior prediction with motion planning, and you will collaborate extensively with Planner and Perception teams to elevate our vehicle's overall functionality and performance.

Supported by top-tier Silicon Valley investors, Peregrine Technologies empowers public safety organizations, local and state governments, federal agencies, and private entities to tackle societal challenges with unmatched speed and precision. Our AI-driven platform transforms fragmented and isolated data into actionable operational intelligence, enabling immediate access to critical information that enhances decision-making processes. Currently, Peregrine serves hundreds of clients across more than 30 states and two countries, positively impacting over 125 million individuals as we extend our influence into the enterprise sector and beyond.TeamWe believe that empathy is key in engineering. Understanding how users engage with our product is vital to our success. Our engineers collaborate closely with on-site teams to grasp the diverse use cases that Peregrine addresses.We prioritize both ownership and teamwork, encouraging you to take accountability for significant features while working alongside fellow engineers to bring them to fruition. We value humility and empathy as essential traits in developing effective solutions, engaging directly with our deployment teams and users to iteratively resolve their challenges. Creativity and perseverance are critical to realizing our vision.RoleAs a crucial member of our engineering team, you'll play a pivotal role in delivering exceptional value to our customers. This team focuses on creating robust, user-friendly experiences powered by generative AI. You will pioneer innovative interactions for users within our platform, shaping impactful AI-driven features that assist clients in solving real-world problems swiftly and efficiently.Your responsibilities will encompass addressing a variety of complex challenges, including scaling our platform to manage terabytes of data from multiple sources, providing real-time user notifications and queries, and optimizing search algorithms for rapid result delivery.Our technology stack is continually evolving, anchored by a backend built with Python, Django, Celery, Airflow, and Kafka; a frontend utilizing React, Redux, and Mapbox; data storage solutions including PostgreSQL and Elasticsearch; machine learning models hosted in Bedrock and SageMaker; along with AWS, Pulumi, Terraform, and Kubernetes forming our infrastructure.About YouEnthusiasm and ambition to take ownership of major projects and contribute to the team's success.

At Waymo, we are pioneering the future of autonomous driving technology with an unwavering commitment to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, our focus has always been on engineering the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and drastically reduce traffic-related fatalities. The Waymo Driver currently powers our fully autonomous ride-hail service, having completed over ten million rider-only trips and covering more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.This role in Software Engineering is crucial as we develop the intelligent systems that allow the Waymo Driver to navigate complex environments, make sound decisions, and ensure safe transportation for our users. We tackle intricate technical challenges in robotics, perception, decision-making, and deep learning, collaborating closely with hardware and systems engineers. If you are a dedicated software engineer or researcher with a passion for Level 4 autonomous driving, we are eager to meet you.In this hybrid role, you will report directly to a Technical Lead Manager.

Join Visa Inc. as a Staff Machine Learning Engineer and be at the forefront of innovation in the financial technology landscape. In this role, you will leverage advanced machine learning techniques to create cutting-edge solutions that enhance our services and customer experience. You will collaborate with cross-functional teams to drive impactful projects and contribute to the growth of our machine learning capabilities.

Join our talented team at espresso as a Staff Machine Learning Engineer, where you will train advanced models aimed at significantly optimizing our users' compute costs. Leverage your expertise to innovate and drive impactful solutions that enhance efficiency and performance.