Senior Machine Learning Engineer - Remote

About the RoleAt Zencastr, we are dedicated to creating innovative end-to-end AI systems and core microservices that revolutionize the podcasting landscape. By harnessing the latest technologies, we aim to enhance the user experience for millions of podcast creators and listeners every day.We invite an exceptional Senior Machine Learning Engineer to become a…

About UsAt Prophet Security, we understand the challenges faced by security teams overwhelmed by alerts, disparate workflows, and unintegrated tools. As adversaries evolve rapidly, deploying ransomware and compromising data in record time, organizations require more than just additional alerts; they need comprehensive solutions that transcend human limitations.We are pioneering an AI-powered Security Operations Center (SOC) platform designed to provide insightful context and consistent responses to security threats. Our technology leverages large language models to empower analysts, enabling them to investigate and respond at unprecedented speeds, transforming the capabilities of SOCs today and redefining future possibilities.Your RoleIf you are an investigator at heart, eager to leave a significant mark on the security landscape, this is your opportunity. You think beyond isolated alerts and focus on comprehensive workflows. You understand the critical context around incidents, know how to connect disparate information, and can determine the most effective next steps.Your experience includes investigating account takeovers, identifying session hijacking, tracking ransomware groups, and triaging suspicious cloud activities, especially those involving intricate control plane issues. True expertise is not simply about closing alerts; it’s about establishing repeatable processes: creating effective detections that sift through noise, developing orchestration workflows, and training AI to reason with your insights.You excel at navigating between investigations, coding, and customer interactions. One moment you’re analyzing complex logs, the next you’re collaborating with a teammate on response strategies or guiding a customer through an investigation. Your commitment to precision and context ensures that investigations are efficient and not duplicated.Continuous learning and sharing knowledge are your passions, and you aspire to influence the next generation of security operations.Your ImpactAt Prophet, you won’t just be responding to alerts; you will play a key role in shaping the application of AI in threat detection and response. Your investigative work and the workflows you establish will enhance Prophet AI’s reasoning capabilities, ensuring that our customers receive the coverage, accuracy, and clarity they require. Collaborating with engineers and fellow practitioners, you will help redefine the future of security operations.

Illumio builds technology to contain ransomware and security breaches, helping organizations defend against cyber threats. The Illumio AI Security Graph underpins a platform that spots and contains threats in hybrid multi-cloud setups, aiming to stop attacks before they spread. Illumio is recognized as a leader in microsegmentation and supports Zero Trust architectures for critical infrastructure. The engineering team focuses on advancing cybersecurity through leadership, autonomy, and a strong sense of ownership. Engineers here develop and maintain a scalable SaaS platform using cloud-native tools, with deployments in both cloud and on-premises environments. Precision, quality, and collaboration shape the team's work, and engineers are encouraged to take initiative at every level. This Senior Machine Learning Engineer role is based onsite at Illumio’s Sunnyvale headquarters. The position centers on designing and scaling systems that power Illumio’s AI-driven security platform. Work involves handling large-scale data, distributed systems, and building advanced AI agents. Key Responsibilities Design and optimize high-throughput, event-driven systems with Apache Kafka to support real-time data flows. Develop and maintain large-scale data pipelines using Apache Spark or Flink for high-volume analytics and AI features. Create advanced AI agents that handle autonomous planning, memory management, and reliable tool use in distributed environments. Lead architectural design for containerized services on Kubernetes, focusing on availability and scalability across cloud platforms such as AWS, Azure, and GCP.

Join k1x as a Machine Learning Engineer and play a pivotal role in shaping the future of artificial intelligence solutions. As part of our innovative team, you will work on exciting projects, leveraging cutting-edge technologies to develop and implement algorithms that enhance our product offerings. This is a fantastic opportunity for individuals passionate about machine learning to make a significant impact in a dynamic environment.

Why Join Us?Are you ready to make a significant impact? Millions of users trust Calendly, and as we continue to grow our innovative products, now is the perfect time to become part of our journey. Your contributions here will not only elevate your career but also allow you to collaborate with some of the most talented professionals in the industry. If your goal is to learn, grow, and excel in your field, we invite you to consider a career with Calendly.About Our Team & OpportunityWhat makes working with Calendly’s Data Science & Machine Learning team so exceptional?We empower our customers through cutting-edge data solutions, advanced analytics, and artificial intelligence.We are in search of a Machine Learning Engineer who can create substantial business value by overseeing the entire machine learning lifecycle—from identifying problems to deploying and monitoring models. You will be reporting directly to the Head of Data Science & Machine Learning and will play a crucial role in developing and managing ML-driven features that enhance customer experiences.Our team:Drives business insights and strategic decision-making, fostering growth and delivering exceptional customer experiences through innovative solutions.Collaborates closely with product, design, marketing, customer success, and engineering teams to implement ML models that refine the customer journey and optimize business performance.Possesses a strong product focus and a passion for leveraging machine learning to solve real-world challenges, recognizing that effective collaboration is as important as technical expertise.Join a high-performing AI team and contribute to the creation of new, machine learning-based experiences for both internal and external customers.Your ResponsibilitiesOn a typical day, you will take ownership of features throughout our ML ecosystem with increasing independence and impact.Manage ML-powered features from conception to deployment, collaborating with product, design, and engineering to define project scope and success metrics.Enhance domain knowledge and share insights within your product area, documenting your findings for team reference.Independently prioritize tasks, balancing feature development, quality assurance, and maintenance while effectively communicating progress and challenges.

About SmartAsset:SmartAsset is a premier online platform dedicated to providing consumer-oriented financial information and guidance. Our mission is to empower individuals to make informed financial choices, reaching an impressive audience of over 59 million users monthly (as of January 2025) through our educational resources and personalized financial tools. To further our mission, we operate the SmartAsset Advisor Marketing Platform (AMP), which facilitates connections between consumers and fiduciary financial advisors. Our achievements include recognition on the Inc. 5000 list (#2574 in 2023) and Deloitte Technology Fast 500™ (#250 in 2022), alongside being included in Y Combinator’s Top 100 Companies. A successful Series D funding round in 2021 raised $110 million, valuing the company at over $1 billion.*SmartAsset did not provide compensation for the aforementioned awards, aside from application and licensing fees.About the Team:The Machine Learning Engineering team is responsible for designing, building, and integrating the core platform that enables innovative capabilities for financial advisors, including features powered by generative AI. Our engineers continually enhance this platform, developing transformative applications and tools that empower financial professionals to connect more effectively with their clients and expand their businesses.About the Job:We are on the lookout for a driven and seasoned Machine Learning Engineer to join our expanding team. In this pivotal role, you will play a key part in developing and scaling essential backend systems for predictive analytics and generative AI. You will engage in the full software development lifecycle, from architectural design to deployment and maintenance, contributing significantly to our foundational infrastructure and data strategies. Collaborating closely with cross-functional teams, including LLM Engineers, Product Owners, and Data Scientists, you will help turn our vision into reality.

About WizardWizard is the leading AI Shopping Agent, providing precise and reliable product recommendations from various online sources. Our commitment to quality and trust sets us apart in the industry.The RoleWe are seeking a talented Machine Learning Engineer to create and develop feedback-driven learning systems that enhance our AI agent's capabilities over time. This position transcends traditional reinforcement learning research as we focus on systems that learn from actual user interactions to improve our services. You will work at the crossroads of a live conversational agent and genuine shopping behaviors, where the richness of feedback signals is significantly more substantial than in conventional search.Your responsibilities will include transforming user interactions into actionable learning signals, designing efficient feedback loops, and implementing systems that consistently enhance real-world results.What You’ll DoDevelop and implement feedback loops that enhance agent performance over time.Establish evaluation infrastructure, including offline metrics, regression suites, and experimental analysis.Manage signal pipelines end-to-end: instrument events, create clean labeled datasets, and convert user behaviors into dependable learning signals.Design and implement lightweight reinforcement learning or bandit-style approaches when suitable.Collaborate closely with product and engineering teams to define success metrics and optimize performance.Design and conduct experiments to confirm that changes to learning systems lead to improved outcomes.Enhance ranking, recommendations, and decision-making within the agent.Iterate swiftly: Ship → measure → learn → improve.What Success Looks LikeYou deliver quickly and drive measurable enhancements in core product metrics.You convert complex user behaviors into dependable learning signals that progressively enhance the agent.You possess end-to-end ownership of systems and operate confidently in a production environment.Ideal Background5-8 years of hands-on experience in developing and deploying machine learning systems.Bachelor’s or Master’s degree in Computer Science or related field.Proven experience in deploying machine learning systems and working on recommendation systems, ranking, personalization, or optimization challenges.Strong proficiency in Python and machine learning tools.Pragmatic approach: you prefer straightforward, effective solutions over theoretically perfect ones.

Become a part of phData, a forward-thinking leader in the contemporary data landscape. We collaborate with top-tier cloud data providers such as Snowflake, AWS, Azure, GCP, Fivetran, Pinecone, Glean, and dbt to offer state-of-the-art services and solutions. Our mission is to empower global organizations to tackle their most challenging data hurdles.As a remote-first global entity, phData boasts a diverse team across the United States, Latin America, and India. We value the unique culture of each of our employees, nurturing a community characterized by technological curiosity, responsibility, and trust. Despite our rapid growth, we uphold a relaxed and stimulating work atmosphere, recruiting exceptional talent while granting you the freedom to achieve impactful results.6x Snowflake Partner of the Year (2020, 2021, 2022, 2023, 2024, 2025)Fivetran, dbt, Atlation, and AWS Partner of the Year#1 Partner in Snowflake Advanced Certifications600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, etc)Recognized as a top workplace in the US, India, and LATAMMachine Learning Engineers at phData serve as the multifaceted experts of the machine learning domain, equipped to tackle various challenges. They are responsible for the entire lifecycle of data science models, from conceptualization using customer data to deployment in a live production environment. Additionally, they provide strategic insights on selecting appropriate technologies and solutions tailored for specific use cases.

Join Orchard as a Machine Learning Engineer and play a pivotal role in transforming data into actionable insights. In this dynamic position, you will leverage your expertise in machine learning algorithms and data analysis to develop innovative solutions that enhance our products and services.We are looking for a proactive team player who thrives in a fast-paced environment and possesses strong problem-solving skills. You will collaborate with cross-functional teams, engage with large datasets, and contribute to the design and implementation of machine learning models.

About VoltaiAt Voltai, we are pioneering the future of artificial intelligence by developing world models and agents capable of learning, evaluating, planning, experimenting, and interacting with the physical world. Our initial focus is on understanding and creating advanced hardware, electronic systems, and semiconductors, utilizing AI to design and innovate beyond human cognitive boundaries.About Our TeamOur remarkable team is backed by esteemed Silicon Valley investors, Stanford University, and industry leaders including CEOs and Presidents of Google, AMD, Broadcom, and Marvell. We boast a diverse group of former Stanford professors, SAIL researchers, Olympiad medalists, CTOs of prominent tech firms, and high-ranking officials with experience in national security and foreign policy.What We Are Looking ForExceptional AI/ML engineering skills, ideally from top-tier programs in Computer Science, Electrical Engineering, Mathematics, or Physics.Demonstrated success in delivering AI/ML projects from initial concept through to production deployment.Hands-on experience in fine-tuning and deploying large language models (LLMs) within production environments.Experience working with multi-modal models that integrate text, image, or audio inputs.Bonus PointsExperience in competitive programming.Contributions to open-source projects.Recognition through awards or publications in leading journals and conferences.Ability to thrive in a dynamic, fast-paced startup environment.

Join Twilio as a Machine Learning Engineer and leverage your expertise in machine learning to develop innovative solutions that enhance our communication platform. In this role, you will design and implement algorithms, analyze data, and collaborate with cross-functional teams to drive product advancements.

Join Our Innovative Team at Twilio!At Twilio, we are revolutionizing the communication landscape, empowering businesses worldwide from the comfort of our homes. Our innovative solutions serve hundreds of thousands of businesses, enabling developers globally to create tailored customer experiences.We embrace a remote-first work culture that fosters connection and inclusivity, allowing you to collaborate with a diverse team that makes a global impact every single day. As we continue to transform communication, we are also acquiring new skills and experiences that make your work feel fulfilling. At Twilio, your career journey is in your hands.We leverage Artificial Intelligence (AI) to streamline our hiring process, ensuring efficiency, fairness, and transparency, while maintaining a human touch in every hiring decision.Explore Your Future at TwilioWe invite you to become our next Senior Machine Learning Engineer.About the RoleAs part of Twilio’s dynamic AI & Data Platform team, you will be responsible for designing, building, and managing our cloud-native data and ML infrastructure. Your contributions will enhance every customer interaction, enabling our product teams and clients to transform raw events into actionable, real-time insights. This hands-on role emphasizes technical ownership, mentorship, and career growth within a company that is at the forefront of AI-driven communications.

Position OverviewAs a Senior Machine Learning Engineer at c-the-signs, you will play a pivotal role in the comprehensive development and deployment of large-scale language models and machine learning solutions. Your primary responsibilities will encompass data preprocessing, model training, and fine-tuning, with a distinct focus on leveraging extensive healthcare datasets. This position necessitates a deep understanding of large language models, machine learning concepts, and data engineering, along with a proven track record of handling sensitive healthcare information.Key Responsibilities Data Preprocessing: Clean, transform, and prepare intricate healthcare datasets for machine learning applications. This involves managing missing data, detecting outliers, performing feature engineering, and ensuring data normalization. You will also identify, gather, and curate pertinent industry-specific datasets for model retraining and format them appropriately for the selected LLM and training pipeline. Model Training & Fine-Tuning: Design and execute training strategies for various LLMs using comprehensive healthcare data to address specific clinical and operational challenges. You will establish and oversee the training environment, including GPU instances and necessary software, and refine pre-trained LLMs on custom datasets to meet targeted objectives. Experimenting with hyperparameters such as learning rates, batch sizes, and training epochs will be essential to optimizing model performance. Model Evaluation & Optimization: Assess model performance utilizing relevant metrics, pinpoint areas requiring enhancement, and implement strategies for optimization. Pipeline Development: Create and sustain robust, scalable data and ML pipelines for model training, inference, and deployment. Collaboration: Collaborate closely with data scientists, clinicians, and software engineers to comprehend requirements, integrate models into production systems, and uphold data privacy and security standards. Research & Development: Remain informed about the latest trends in machine learning and healthcare AI, and investigate new technologies and methodologies to strengthen our solutions. Documentation: Ensure comprehensive documentation of models, data pipelines, and experimental findings.

Who We Are:Sardine is a pioneering force in the realms of fraud prevention and Anti-Money Laundering (AML) compliance. Our innovative platform leverages device intelligence, behavioral biometrics, machine learning, and artificial intelligence to proactively combat fraud before it occurs. Currently, over 300 banks, retailers, and fintech companies around the globe trust Sardine to safeguard against identity fraud, payment fraud, account takeovers, and social engineering scams. We have successfully raised $145 million from esteemed investors including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.Our Culture:We maintain a remote-first work culture, with hubs located in the Bay Area, NYC, Austin, Toronto, and São Paulo. #WorkFromAnywhereWe seek highly skilled, self-motivated individuals who embrace extreme ownership and possess a strong growth mindset.Performance is our priority over hours worked; we believe you shouldn’t have to sacrifice personal commitments for an arbitrary work schedule.Location:Remote - United States or CanadaWork from Home, Beach, Mountains, Cafes, or Anywhere!Our globally distributed team allows you to find your ideal productive environment.About The Role:In the role of Machine Learning Engineer, you will go beyond merely building models; you will architect the systems that facilitate effective fraud detection. Your responsibilities will encompass modeling, data pipelines, and backend systems (using Go) to guarantee that ML models operate reliably, efficiently, and at scale. This is a unique opportunity to blend applied machine learning with large-scale systems engineering, taking ownership of end-to-end solutions that address high-stakes, dynamic challenges.What You Will Do:Create and enhance data pipelines and backend services to facilitate real-time processing of device and behavioral data.Develop and implement machine learning models for fraud detection, ensuring their reliable and efficient performance in production environments.Transform raw data into production-ready features that are integral to our fraud detection systems.Collaborate closely with platform and backend engineers to ensure seamless integration of models.Uphold high standards of quality and performance in all systems.

Join opsbrasil, a premier cloud consulting firm, renowned for its expertise in cloud-native development, data solutions, and AI modernization. As an AWS Premier Partner, we empower organizations to leverage advanced technologies while nurturing a culture of innovation, teamwork, and lifelong learning.As a Machine Learning Engineer, you will architect, implement, and enhance comprehensive ML pipelines utilizing AWS SageMaker, MLflow, and GitLab CI/CD. Collaborating closely with data scientists and engineers, you will ensure the efficient training, deployment, and monitoring of models with a focus on performance, governance, and reliability.Your ResponsibilitiesDevelop and sustain training pipelines utilizing the AWS SageMaker SDK, complemented by MLflow for tracking experiments.Oversee the complete model lifecycle, including tracking, packaging, versioning, and registry management.Implement and supervise real-time (SageMaker Endpoints) and batch (Batch Transform) inference pipelines.Integrate model predictions with DynamoDB to facilitate third-party enrichment and real-time workflows.Establish monitoring for data drift, bias detection, and overall model health through SageMaker Model Monitor.Maintain the MLflow Model Registry to guarantee versioned, production-approved models.Collaborate with the DevOps/infrastructure team to manage CI/CD/CT pipelines using GitLab, Terraform, and Terragrunt.

About the Role:You will take charge of the entire machine learning lifecycle at ServiceUp, overseeing everything from initial exploration and model development to final production deployment and ongoing iteration. Collaborating closely with product, design, and engineering teams, you'll identify opportunities where machine learning can add value and convert model outputs into actionable features for our customers. As our first dedicated ML hire, you will play a crucial role in shaping our ML tools and infrastructure, with our current data stack comprising PostgreSQL, BigQuery, and Hex.What You'll Do:Lead the development and expansion of our machine learning model portfolio, driving the process from conception to production.Establish success metrics and evaluation frameworks for each model.Implement ML models in production, ensuring real-time inference, monitoring, retraining pipelines, and phased rollouts using feature flags and guardrails.Construct and assess classifiers utilizing rigorous offline and online evaluation methods.Design and enhance feature engineering processes.

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.

About Judi HealthJudi Health is a pioneering enterprise health technology company that offers a comprehensive array of solutions for employers and health plans. Our services include:Capital Rx, a public benefit corporation that provides full-service pharmacy benefit management (PBM) solutions tailored for self-insured employers.Judi Health™, delivering complete health benefit management solutions to employers, third-party administrators (TPAs), and health plans.Judi®, the leading proprietary Enterprise Health Platform (EHP) that streamlines all claim administration-related workflows into a single scalable and secure platform.We are committed to rebuilding trust in healthcare across the U.S. and establishing the infrastructure necessary for the quality care that everyone deserves. To learn more about our mission and offerings, please visit www.judi.health.Position Summary:We invite you to join our mission to integrate state-of-the-art AI, Machine Learning (ML), and Generative AI (GenAI) technologies into pharmacy benefits as a Machine Learning Engineer. We seek a skilled software engineer with robust machine learning expertise to help expand our AI capabilities, enhancing productivity and creating remarkable experiences in our products and services.In this role, you will design and implement intricate AI systems that utilize ML models for Natural Language Processing (NLP), Natural Language Generation (NLG), multimodal data analysis, chatbots, and Retrieval-Augmented Generation (RAG)-based Question and Answer (QnA) processes. The ideal candidate will be passionate about leveraging AI/ML concepts to tackle complex challenges and develop scalable solutions. We value team players who enjoy collaborating to create practical, efficient, and high-performance software that harnesses Large Language Models (LLM), Multimodal Language Models (MLM), and other ML techniques to deliver outstanding capabilities for our customers and partners.

Are you ready to push the boundaries of what you believe you're capable of? At Coinbase, our vision is to enhance economic freedom globally. This is a grand, ambitious endeavor that challenges us to deliver our best every day as we construct the foundational onchain platform and shape the future of the global financial system.To drive our mission forward, we are in search of a unique candidate. We seek an individual who is not only passionate about our objective but also believes in the transformative power of cryptocurrency and blockchain technology to revolutionize the financial landscape. We are looking for someone eager to make a significant impact, who thrives under pressure while collaborating with a team of highly skilled professionals, and who actively seeks constructive feedback for continuous improvement. We want a problem-solver who embraces challenges head-on.Our work culture is intense and not suited for everyone. However, if you aspire to build the future alongside exceptional individuals and are ready to meet high expectations, this is the place for you.While many positions at Coinbase are remote-first, we are not solely remote. In-person engagements are expected throughout the year. We conduct team and company-wide offsites several times a year to promote collaboration, connection, and alignment. Your attendance is both expected and fully supported.We are looking for a Senior Machine Learning Platform Engineer to join our Machine Learning Platform team. This team is responsible for developing the core components for feature engineering, as well as training and serving ML models at Coinbase. Our platform plays a crucial role in combating fraud, personalizing user experiences, and analyzing blockchains. You will have the opportunity to leverage your engineering expertise across various aspects of large-scale ML development, including stream processing, distributed training, and highly available online services.

Join our innovative team at Serverobotics as a Lead Machine Learning Engineer. In this pivotal role, you will spearhead the development of cutting-edge machine learning models and algorithms to enhance our product offerings. Your expertise will guide the team in building scalable solutions that leverage large datasets, ultimately shaping the future of our technology.Your responsibilities will include collaborating with cross-functional teams to define project goals, lead technical discussions, and mentor junior engineers. We are looking for a visionary leader who is passionate about artificial intelligence and machine learning.