Senior Machine Learning Engineer

At Vectara, we are revolutionizing the deployment of Enterprise AI Agents and AI Assistants, emphasizing Accuracy, Security, and Explainability like never before. Our enterprise RAG Platform stands out by utilizing advanced models for retrieval, embedding, and reranking, alongside a meticulously optimized LLM trained for quality and cutting-edge Hallucinatio…

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

Join Zoox as a Senior Machine Learning Engineer specializing in Perception, where you will play a pivotal role in crafting and deploying state-of-the-art detection models that leverage integrated sensor data. This position focuses on pioneering projects tailored for the next generation of driving software, which includes developing joint detection and tracking models and innovating methods to transmit enriched embeddings to downstream models to enhance semantic understanding and uncertainty management.This unique opportunity allows you to significantly contribute to Zoox's venture into new horizons. By engineering more robust and adaptable models, you will aid in navigating complex and diverse scenarios, propelling our mission to achieve safe and dependable autonomous mobility. We seek an enthusiastic and driven individual who is eager to push the limits of perception technology in autonomous vehicles.

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.

Join headway as a Senior Machine Learning Engineer and make a significant impact in the field of machine learning and artificial intelligence. In this role, you will leverage your expertise to develop innovative solutions, improve existing algorithms, and collaborate with cross-functional teams to drive forward our mission of transforming the healthcare experience.

Who is Nexxen?Nexxen is revolutionizing the advertising landscape with a data-driven approach that empowers advertisers, agencies, publishers, and broadcasters globally. Our innovative technology framework unifies a demand-side platform (DSP) and supply-side platform (SSP), anchored by the Nexxen Data Platform, to deliver meaningful advertising solutions.Why become a part of the Nexxen team?Join us in our mission to transform advertising through our flexible and creative solutions. At Nexxen, we value a culture that emphasizes the 3Cs - Customer Centricity, a Curious Mindset, and Collaboration without Ego. Become part of a dynamic team that thrives on commitment and ingenuity.Your Safety is Our PriorityAt Nexxen, we prioritize the safety and well-being of our employees. We are vigilant against online scams and fraudulent job postings. Please note that we will never ask for payment as a condition of employment or promote dubious financial schemes. If you encounter any suspicious communications, contact us at infosec@nexxen.com. Your trust is paramount; stay safe and informed.Position OverviewAs a Senior Machine Learning Engineer, you will join our Applied Data Science group within the Nexxen DSP Software Development team. This hands-on role involves collaborating closely with data scientists to develop cutting-edge data science infrastructure aimed at real-time performance optimization and machine learning applications. The ideal candidate will possess extensive experience in implementing machine learning technologies or data-driven algorithms, and should display a proactive and innovative mindset.We operate in a hybrid model, with team members working three days a week at our New York office and remotely for the remainder of the week.Key Responsibilities:Design and develop high-performance, large-scale services for Nexxen DSP programmatic integrations and platform products.Drive innovative solutions and implement machine learning algorithms for enhanced performance.

Join Our Team as a Senior Machine Learning Engineer!thatgamecompany is looking for a passionate and self-motivated Senior Machine Learning Engineer to work remotely within the US or Canada. In this pivotal role, you will take charge of developing our core machine learning models and the essential data and training pipelines that support them. We value individuals who are self-starters and bring a proactive approach to problem-solving, while also being collaborative team players. You will have the autonomy to manage projects from start to finish and possess the ability to articulate complex technical information to both technical and non-technical stakeholders.Your Responsibilities Will Include:Demonstrating a deep passion for video games and representing our players' interests.Exhibiting curiosity, problem-solving skills, and the ability to identify and pursue business needs proactively.Navigating ambiguity to iteratively refine the problem space.Owning your area of expertise throughout the project lifecycle from inception to delivery.Qualifications:A minimum of 5 years' experience in Machine Learning, Data Engineering, or a related quantitative field, with a proven history of delivering end-to-end ML products.In-depth knowledge of statistical modeling and ML techniques, including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the aptitude to choose the appropriate tools for the task.Strong background in experimental design, hypothesis testing, and model performance evaluation.Experience in building and deploying scalable ML solutions in production, preferably using Kubernetes and GCP.Proficiency in Python, Java, or Scala, focusing on writing clean, maintainable, and production-ready code, along with the ability to create optimized SQL for complex datasets.Mastery of SQL and familiarity with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet).Exceptional skills in translating complex technical concepts into understandable terms for varied audiences.

About zaimlerAt zaimler, we recognize that AI agents struggle to make decisions based on fragmented data. Today’s enterprise data is scattered across numerous systems, lacking shared context and structure, which contributes to the challenges faced in enterprise AI. As we transition from copilots to fully autonomous agents, we're establishing a revolutionary infrastructure layer to support this evolution.zaimler serves as the foundational context infrastructure for the agentic era. Our platform autonomously uncovers domain knowledge, maps intricate relationships, and equips AI agents with the semantic understanding necessary for precise operations at scale. Envision knowledge graphs that facilitate real-time inference, designed specifically for systems that require reasoning capabilities, rather than mere data retrieval.Founded by industry veterans Biswajit Das and Sofus Macskassy, zaimler is a small yet highly skilled team at the seed stage, collaborating with major enterprises across sectors such as insurance, travel, and technology. If you aspire to develop the infrastructure that will underpin the next decade of AI advancements, we invite you to join our journey.About the RoleWe are in search of a Senior Machine Learning Engineer to enhance our dynamic team, ideally based in the Bay Area or open to relocation. The perfect candidate will possess strong expertise in one or more of the following areas: Knowledge Extraction, Natural Language Understanding, Unsupervised Learning, Information Retrieval, and Fine-tuning Large Language Models (LLMs). In this pivotal role, you will be instrumental in developing and training the models, pipelines, and methodologies that drive our semantic graph systems. We seek an individual with a robust background in machine learning, natural language processing, LLMs, and semantic technologies, along with a proven history of managing complex, large-scale machine learning projects.

Join Poshmark, Inc. as a Senior Machine Learning Engineer and help us shape the future of e-commerce through cutting-edge technology. In this role, you will leverage your expertise in machine learning to develop innovative models and algorithms that enhance user experiences and drive business growth.As part of our dynamic team, you will collaborate with data scientists, engineers, and product managers to implement machine learning solutions that solve real-world problems. Your contributions will directly impact our platform, making it smarter and more intuitive for our users.

Role overview The Senior Machine Learning Engineer at Rational Dynamics will work onsite in Berkeley, CA. The main focus is on developing and improving machine learning algorithms that power data-driven applications. This position involves hands-on work, from building models to optimizing and deploying them for greater performance and efficiency. What you will do Design, build, and fine-tune machine learning algorithms for practical, real-world scenarios Collaborate with colleagues from various disciplines to integrate models into products and workflows Deploy solutions that help drive better decision-making throughout the company

About StepAt Step, we empower side hustlers, creators, freelancers, and investors. We're dedicated to those eager to start early, rebuild, or enhance their current situation. For individuals who embrace challenges, especially in their financial journeys.Step is a cutting-edge financial services provider, committed to transforming the banking and borrowing experience to help individuals achieve financial independence swiftly. We offer essential tools, education, and opportunities to manage, build, and grow wealth with assurance. Our focus is to disrupt the banking sector by crafting a distinctive, mobile-first consumer experience.Our product has resonated with over 7 million customers, and if you're seeking to join a rapidly expanding company with a purposeful mission that prioritizes people, we would love to connect with you!Step is part of Beast Industries, a diverse media and entertainment enterprise founded by Jimmy Donaldson, widely recognized as MrBeast, the most-watched individual globally. Beast Industries has redefined digital content creation and consists of a wide array of ventures that extend beyond its YouTube roots. With a commitment to entertain, inspire, and create substantial social impact, Beast Industries operates across numerous domains, including digital media, philanthropy, consumer products, and innovative business initiatives. We believe in the transformative potential of digital media to entertain, educate, and foster positive change. Our dedication to creativity, innovation, and philanthropy inspires us to explore new challenges, create unforgettable experiences, and build a legacy that motivates future generations.The RoleWe are seeking a skilled Senior Machine Learning Engineer to design, build, and implement Machine Learning models for our Risk and Fraud detection systems.

Join SoundCloud, a leading platform that enables artists and fans to connect and share their passion for music. Established in 2007, our artist-first approach empowers creators to develop their careers with innovative tools, services, and resources. With a catalog featuring over 400 million tracks from 40 million artists, the future of music is unfolding at SoundCloud. We are seeking a Senior Machine Learning Engineer to become an integral member of our Reco-Core team. This role presents an exciting opportunity to influence and steer the machine learning initiatives for one of SoundCloud's most essential product areas. You will collaborate closely with machine learning, data, and backend engineers to design, implement, and deploy models that facilitate music discovery for millions of users across our extensive audio catalog.Key Responsibilities:Create and deploy comprehensive machine learning solutions for recommendation systems, focusing on candidate generation, personalization, user and item modeling, and ranking algorithms.Oversee the entire machine learning lifecycle, from prototyping and evaluation to deploying scalable models and monitoring performance in production.Enhance and expand the foundation for ML engineering and MLOps within the Reco-Core team, establishing best practices and developing tools for rapid iteration.Collaborate with analysts and data scientists to convert research findings into production-ready systems.Work alongside fellow ML engineers to utilize shared infrastructure and collective expertise.

At OneStudyTeam, a subsidiary of Reify Health, we are dedicated to accelerating the pace of clinical trials and enhancing the approval rates of new therapies, ultimately aiming to uplift patient outcomes. Our innovative cloud-based platform, StudyTeam, digitizes research site workflows, enabling effective collaboration among sites, sponsors, and crucial stakeholders. Trusted by leading global biopharmaceutical companies, our platform is utilized at over 6,000 research sites across more than 100 countries. Join us in our mission to revolutionize clinical research and elevate patient care.One mission. One team. That’s OneStudyTeam.As a Senior Machine Learning Engineer, you will be instrumental in developing state-of-the-art AI products that significantly influence the delivery of new therapies to patients. We seek a seasoned ML engineer enthusiastic about transforming cutting-edge AI research into practical, scalable solutions. You possess a knack for resolving intricate challenges, maintain a sharp focus on detail, and strive for continuous process automation and enhancement. Your collaborative spirit shines through as you contribute both as an individual and as part of a team, demonstrating the resilience to face tough problems while remaining open to learning and adapting. Your self-motivation and discipline empower you to excel in a remote work environment, and your strong interpersonal skills foster a collegial atmosphere. As a key player in our rapidly expanding organization, you will harness AI to innovate clinical research and enhance patient care.

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.

FieldAI is at the forefront of reimagining how robots engage with the world around them. Our Irvine team specializes in developing cutting-edge, risk-aware AI systems tailored for real-world applications. Nestled in the vibrant robotics hub of Southern California, we tackle complex challenges in robotics, unleashing the full power of embodied intelligence. If you're eager to see your innovations take flight in real hardware and enhance their capabilities through practical deployments, then our Irvine location is the ideal environment for you. We prioritize a comprehensive engineering approach that transcends traditional data-driven methods, integrating proven learning systems to yield globally deployed solutions that continuously evolve with each interaction in the field.About the JobAs a part of our Insight Team, you will lead the development of the Field-insight Foundation Model (FiFM), which empowers a global fleet of autonomous robots to gather extensive multimodal data from diverse environments daily. Your role as a Senior Machine Learning Platform Engineer will encompass ownership of the infrastructure that supports FiFM, overseeing everything from model hosting and distributed training pipelines to data systems and observability. This position uniquely blends systems engineering with machine learning, where you will design and manage large-scale ML platforms to facilitate our mission of deriving actionable insights from complex data.

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 vital member of our dynamic team. In this role, you will engage in large-scale machine learning projects aimed at enriching the podcast creation journey for Zencastr users.You will collaborate with a group of dedicated engineers who are enthusiastic about understanding the factors that influence long-term user satisfaction with Zencastr. Your contributions will help shape our recommendations and content strategies. As a key player in the team, you will work alongside research scientists and data professionals to prototype and implement cutting-edge machine learning solutions that intertwine speech processing with user satisfaction.Key ResponsibilitiesDesign, research, and develop pioneering machine learning applications and algorithms to enhance the experiences of podcasters and their audiences globally.Collaborate with cross-functional teams to create new product features that enhance Zencastr's machine learning services.Advance audio and text capabilities within the machine learning team.Engage with leading experts in signal processing.Ideal Candidate ProfileA Master's degree or higher in Machine Learning, Mathematics, Computer Science, or a related quantitative discipline.A minimum of 5 years of experience in Python programming.At least 3 years of experience in machine learning research, particularly with a focus on speech processing.3+ years of experience in training and deploying neural networks.Extensive experience with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn.Proficiency in building and maintaining production-ready machine learning systems.Ability to lead the design and implementation of significant software components and features.A passion for rapidly building model prototypes.Familiarity with cloud platforms such as Google Cloud, AWS, or Modal.A proactive mindset with the ability to spearhead projects and foster positive collaborations with partners and colleagues.

Drive Innovation with PurposeAt BILL, we empower businesses to thrive in today’s economy. By revolutionizing outdated financial practices with cutting-edge tools, we enable enterprises—from emerging startups to established brands—to make informed decisions and take command of their operations. Our mission extends beyond the present; we are pioneering the future of financial automation, allowing businesses to focus on what truly matters.Joining our team means becoming part of a vision-driven community that embraces challenges and crafts innovative solutions. We cherish purpose, ambition, and curiosity, thriving in a dynamic and fast-paced environment. Whether based in our offices in San Jose, CA, Draper, UT, or working remotely, BILLers collaborate to create significant impacts for businesses, giving them more time in their busy schedules.At BILL, we build high-performing teams and are committed to hiring the best talent for every position. We strive to create a workplace that promotes inclusion and diverse perspectives, valuing each individual’s unique skills and experiences. We are eager to hear from you—whether this role is a fit or not, you could be just who we need! Let’s provide businesses the time to focus on what’s important.Make Your Mark in a Rapidly Growing Fintech CompanyBecome a vital member of BILL's AI Product Engineering team and help define the future of intelligent financial automation. As a Senior Machine Learning Engineer, you will be instrumental in designing, developing, and deploying machine learning solutions that drive BILL's next-generation products. This role offers a unique opportunity to work in a collaborative, high-impact setting where your expertise will directly influence our growth and enhance the experience of millions of users.

Join Our Team as a Senior Machine Learning EngineerAbout AZXAt AZX, we are on a mission to drive positive change in key industries through innovative AI solutions. We focus on physics-informed machine learning and enterprise AI applications that tackle pressing climate and sustainability issues.Rapidly expanding, we collaborate with leading organizations in various sectors including real estate (CBRE), energy (LevelTen Energy), logistics (Flexe), and utilities (Puget Sound Energy).Established in 2024 as a public benefit corporation, AZX has been profitable since inception, fueled by our consulting endeavors.Our work encompasses challenges in clean energy, decarbonization, climate risk, energy systems, and global economics. We are committed to fostering a workplace that inspires those passionate about AI and making a meaningful impact.About the RoleWe are looking for an experienced Machine Learning Software Engineer to enhance our client deliverables and develop our platform. As one of our initial full-time ML engineers, your contributions will significantly shape our initiatives.You'll be joining a team of seasoned professionals from the climate and AI sectors, with expertise from Microsoft, AI2, ARM, and significant utility companies, including PhDs and published ML researchers.Initially, this role will focus 70% on client delivery and 30% on platform development, transitioning to a balanced 50/50 split within the first year.Your journey will involve both enterprise-style projects and rapid innovation cycles, with increasing investment in our platform to enhance client value.Your ResponsibilitiesTransform complex client challenges into executable code.Lead projects from initial discovery to final deployment.Collaborate effectively with both client and internal project teams.Develop clean and scalable code to meet varying quality standards.Design, integrate, and productionize ML solutions, including predictive models and GenAI systems.Work with domain experts in energy, real estate, and climate to convert business requirements into ML solutions.

Role Overview Censys is hiring a Senior Machine Learning Engineer to join its remote US team. This role focuses on building and refining machine learning models that support core technologies and products. Work closely with other skilled engineers and data professionals, contributing to projects that reach a wide range of clients. What You Will Do Design, implement, and improve machine learning algorithms Analyze complex datasets to extract insights and inform model development Collaborate with colleagues across engineering and data teams Contribute to projects that influence both internal systems and client-facing solutions Work Environment This is a fully remote position open to candidates based in the United States. The team values open communication and a collaborative approach to problem solving.