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.

At Confido, we are revolutionizing the AI infrastructure for consumer packaged goods (CPG) brands, streamlining everything from deductions to production planning. Our platform integrates cash applications, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics into a cohesive system. The outcome is significant time savings, enhanced decision-making capabilities, and accelerated growth potential.We proudly serve over 200 brands, managing more than $20 billion in revenue, with clients like OLIPOP, Simple Mills, Dr. Squatch, and Tropicana.With our recent successful $15 million Series A funding round led by Footwork Ventures and Y Combinator, we are poised for rapid expansion.As a Staff AI / ML Engineer, you will play a crucial role in developing and implementing the core AI systems that power our platform, including LLM-driven document understanding and predictive models that assist brands in making informed decisions.This foundational position will involve direct collaboration with our CEO and CTO to define our long-term AI strategy and architecture.

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.

SmarterDx, a Smarter Technologies company, is revolutionizing the intersection of clinical care and payment systems through advanced AI technology. Established by a team of physicians in 2020, our innovative platform enhances the connection between clinical context and revenue intelligence. By empowering health systems to recover millions in missed revenue, we are committed to improving quality scores and supporting every denial appeal. Join us as a Smartian and contribute to optimizing the healthcare landscape for everyone. Discover more about our mission at smarterdx.com/careers.Role OverviewWe are seeking a talented Staff Machine Learning Engineer to lead the development of a premier ML Ecosystem that will enhance our clinical AI product suite. The ideal candidate excels in cross-disciplinary collaboration and consistently delivers high-quality results with a focus on building reliable systems and improving the developer experience.**This position is fully remote within the US**Key ResponsibilitiesDevelop and scale machine-learning features across various products.Create reusable architecture to streamline and accelerate machine learning development throughout the organization.Establish best practices for development and ML processes at SmarterDx while mentoring fellow engineers.

Toloka AI is hiring a Freelance Machine Learning Engineer for a remote contract role based in Wisconsin, United States. This position centers on building and improving machine learning models that directly support product development and help shape the user experience. Responsibilities Create and fine-tune machine learning models for practical, real-world use Use data science techniques to enhance product features Work with other team members to solve technical challenges Requirements Solid background in machine learning and data science Proven ability to tackle complex problems using technical approaches Comfortable working independently as well as collaborating with a team Remote Work This contract role is fully remote but requires residence in Wisconsin, United States.

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.

About PlaylabPlaylab is a pioneering tech non-profit committed to empowering educators and students to become critical consumers and creators of artificial intelligence (AI).We advocate for an open-source, community-driven approach as essential for unlocking the potential of AI in education. Our mission is to equip communities with AI tools and provide hands-on professional development, enabling educators and students to develop custom AI applications tailored to their unique environments. Over 60,000 educators have already published applications on Playlab, and our impact continues to expand daily.At Playlab, we view AI as a new design material—one that should be shaped collectively to realize innovative ideas about learning. If you share our passion for constructing equitable and creative futures for students and educators, we invite you to join our team.The RoleWe are looking for a Staff Machine Learning Engineer to join our expanding Engineering team. In this role, you will design the systems that ensure AI remains accessible as we grow—balancing advanced capabilities with cost-effectiveness, driving research into effective educational AI, and paving the way for sophisticated AI to operate globally.Examples of the WorkDevelop data pipelines that scrub Personally Identifiable Information (PII), create research datasets, and support the research portal for educational AI initiatives.Architect pathways for self-hosted and on-device model deployments to enhance privacy and global accessibility.Design and implement model orchestration systems that intelligently route requests among various AI providers (OpenAI, Anthropic, AWS Bedrock, open-source models).Establish cost optimization infrastructures—implementing conversation compression, prompt caching, and smart model selection to maintain AI accessibility.Create comprehensive observability systems for ML operations—monitoring costs, latency, quality, and usage patterns across thousands of applications.Design and implement infrastructure for fine-tuning and deploying custom models.Build monitoring and alerting systems to ensure reliability as AI interactions scale.And more…ExpectationsDesign, build, and maintain production ML infrastructure that balances performance, cost, and reliability.Take ownership of data quality and research dataset creation—ensuring data is properly scrubbed, documented, and useful.

Role overview toloka-ai seeks a Freelance Machine Learning Engineer to join ongoing projects centered on practical AI solutions. This position is remote and based in Virginia, United States. What you will do Collaborate with a team of specialists to design and build machine learning models Create AI-driven solutions that address real-world challenges Contribute expertise and work remotely with colleagues on active projects Location This is a remote role for candidates located in Virginia, United States.

Xometry (NASDAQ: XMTR) drives the future of manufacturing by connecting innovative thinkers with the manufacturers who can realize their visions. Our digital marketplace equips manufacturers with essential tools for growth while enabling Fortune 1000 companies to leverage global manufacturing capabilities.We are on the lookout for a Staff Machine Learning Engineer to spearhead our Generative AI initiatives. This is a unique opportunity to influence the manufacturing landscape by utilizing advanced AI research to tackle real-world challenges: including multimodal document comprehension, structured data extraction from technical drawings, and developing novel reasoning methods across text, images, and 3D data. If you are enthusiastic about creating cutting-edge AI systems and wish to see your contributions generate immediate business and customer impact, we invite you to reach out.

About Us:At Ambience Healthcare, we aspire to redefine healthcare technology. We are creating an AI intelligence platform that brings humanity back to healthcare while delivering significant ROI for health systems nationwide.Our cutting-edge technology enables healthcare providers to concentrate on exceptional patient care by alleviating the administrative tasks that detract from their critical responsibilities. Ambience provides real-time, coding-aware documentation and clinical workflow support across various healthcare settings, including ambulatory, emergency, and inpatient environments, partnering with top health systems across North America.We are relentless in our pursuit of excellence, exhibiting extreme ownership as we develop optimal solutions for our health system partners. We value transparency, positivity, and profound insight — holding each other to high standards because the challenges we tackle are of utmost importance.Ambience has been recognized as the leading company for improving clinician experience in the KLAS Research Emerging Solutions Top 20 Report, named one of the Next Big Things in Tech by Fast Company, and selected as one of the best AI companies in healthcare by Inc. Additionally, we were honored as a LinkedIn Top Startup in 2024 and 2025. Our esteemed investors include Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started.The Role:As a Staff Machine Learning Engineer on the Frontier AI team at Ambience, you will tackle the most challenging model quality issues across our clinical AI products, including foundational coding models, adaptive scribing, voice agents, long-context chart understanding, and clinical reasoning. This role focuses on research direction, designing learning loops, and driving comprehensive improvements in model quality over time.Ambience delivers advanced clinical AI solutions in real-world healthcare environments. The models that fuel our products operate under unique constraints, including proprietary ontologies, complex electronic health record (EHR) data, stringent compliance requirements, and clinician workflows where both latency and accuracy are critical. You will leverage your deep research instincts and engineering rigor to push the boundaries of what is possible.Our engineering roles are hybrid, requiring in-office attendance at our San Francisco location three days a week.

Role Overview Turn new research into production-scale machine learning systems that can be deployed and maintained. Design and build end-to-end ML models and data pipelines, ensuring they are reliable and maintainable. Refine and optimize models focused on analyzing images and videos. Manage every stage of the machine learning workflow: experimentation, training, evaluation, and deployment. Develop low-latency inference systems for real-time applications, along with dependable ML infrastructure. Prototype quickly using open-source models, adapting them to meet product needs. Run experiments, analyze outcomes, and iterate to improve performance. Work closely with researchers and teams across product, engineering, and design to deliver scalable ML solutions. Keep up with new developments in machine learning and apply relevant advances to improve moonvalley-ai products.

Twilio Inc. is looking for a Staff Machine Learning Engineer to contribute to the development of its communication technologies. This position is fully remote within the United States. Role overview This role centers on designing, building, and refining machine learning solutions that support and enhance Twilio’s products and services. The work directly impacts how users experience communication tools and features. Key focus areas Create and improve machine learning models for Twilio’s core offerings Collaborate with product and engineering teams to integrate ML solutions Drive advancements that make Twilio’s communication technologies more effective Location This is a remote role open to candidates based in the US.

Join our innovative team at Weave as a Senior Machine Learning Engineer specializing in Generative AI. In this pivotal role, you will spearhead the development and implementation of cutting-edge machine learning algorithms that drive our AI initiatives. Collaborate with cross-functional teams to enhance our product offerings and deliver exceptional AI-driven solutions.

Join Samsara as a Staff Machine Learning Engineer, where you will play a pivotal role in developing and deploying advanced machine learning solutions that drive operational efficiency and enhance customer experience. You will work with a talented team of engineers and data scientists to solve complex problems using cutting-edge technology.

ABOUT KLED AIKled AI is pioneering the world's largest opt-in human data network, transforming the way data is utilized for artificial intelligence. Unlike traditional labeling firms, we empower users to upload their authentic photos, videos, and documents, providing them with continuous monetary rewards for their contributions.Our innovative platform filters, standardizes, and licenses this high-quality data to AI labs and enterprises in need of fresh, rights-aware training material. Since our mobile app launch in 2026, we have achieved remarkable milestones:Ranked #1 in the Finance category on the App Store without any paid advertisingGrown our community to over 200,000 active data contributorsProcessed between 1.5 to 3 million uploads dailySecured over $5 million in funding from top-tier investors associated with SpaceX, Airbnb, Coinbase, and more.Our mission is to enable anyone to download our app and earn a sustainable living by sharing their data.ABOUT THE POSITIONAs a Machine Learning Engineer specializing in Fraud Detection and Data Quality, you will play a crucial role in ensuring that only genuine, high-quality human data enters our system. Your responsibilities will include developing:AI-driven image and video detection systemsReverse image search and internet plagiarism detection mechanismsDuplicate fingerprinting using vector and perceptual hashing techniquesCopyright risk assessment toolsEXIF and metadata tampering detectionFraud network and device clustering systemsHuman-in-the-loop verification pipelinesThis role offers the opportunity to work with adversarial machine learning at a large scale, far beyond academic benchmarks. For instance, when a user is required to upload a video of themselves taking out the trash, our system must seamlessly reject any irrelevant submissions, like a video of a pet.

At Affirm, we are reshaping the landscape of credit by making it transparent and consumer-friendly, allowing individuals the freedom to buy now and pay later without hidden fees or accumulating interest.Join our dynamic team as a Senior Staff Machine Learning Engineer and play a crucial role in the evolution of our innovative ML team. Our commitment is to Affirm's mission of transforming financial services with a focus on transparency and inclusivity. We harness cutting-edge machine learning techniques to deliver responsible and accessible financial products.In this influential role, you will shape the future of machine learning at Affirm. Collaborating with ML Platform, engineering, product, and risk leaders, you will design, implement, and scale advanced modeling approaches that inform critical decisions within the organization. Your expertise will elevate our modeling capabilities, influence architectural directions, and ensure our systems are equipped to handle increasingly complex workloads. As a mentor to senior engineers, you will clarify intricate problems and contribute to a cohesive long-term ML strategy. If you are enthusiastic about pioneering modern machine learning solutions and eager to drive impactful innovation in a growing organization, Affirm is the perfect place for you.

Airbnb began in 2007 with two hosts and three guests in San Francisco. Since then, the platform has grown to over 5 million hosts and more than 2 billion guests worldwide. Airbnb connects people with unique places to stay and experiences, building authentic community connections across nearly every country. The team: Growth Platform Engineering The Growth Platform team focuses on driving sustainable, long-term growth for Airbnb. The team’s mission centers on building an agentic system and supporting capabilities to help all Airbnb offerings grow, both now and in the future. Efforts include delivering personalized and relevant content and product experiences to users, both on and off the Airbnb platform. The team is working toward a future where AI identifies opportunities, creates campaigns, personalizes experiences, and optimizes outcomes with minimal human input. This journey moves through a maturity curve: AI-assisted, agentic, and ultimately autonomous systems, always with human oversight to ensure brand safety, quality, and compliance. Growth Platform Engineering is tightly integrated with the Airbnb product, enhancing the customer journey and enabling new ways for users to engage. The platform supports a range of digital marketing channels, landing pages, email, push notifications, SMS, and digital advertising, as well as the machine learning and data infrastructure that powers these efforts. What you will do Develop AI-driven solutions to shape the future of Airbnb’s agentic growth platform, using the latest AI methodologies. Lead and mentor engineers through brainstorming, design, and implementation of AI products and features, from initial concept to deployment. Work at the intersection of technical depth, architectural innovation, and mentorship as a Senior Staff Engineer. Collaborate with cross-functional teams to build scalable systems that operate globally. Help evolve the foundational elements of Airbnb’s AI-powered growth systems.

Cribl is looking for a Staff Machine Learning Engineer to join its AI research group. This is a fully remote role for candidates based in the United States. Key responsibilities Use advanced machine learning techniques to enhance Cribl's product features and performance. Partner with engineers and researchers to design and implement new AI-powered solutions for data observability. Contribute to research projects that help guide the technical direction of Cribl’s products. Collaboration and influence This role works alongside a team of experienced engineers and researchers. The outcomes of your work will help shape the future of Cribl’s AI and data observability offerings.

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.