As a Machine Learning Engineer on our team, you will play a key role in this transformation, utilizing state-of-the-art AI models, frameworks, and tools, along with diverse and extensive data sources, including blockchain data. Your work will focus on breaking down barriers to cryptocurrency adoption and shaping the future of AI-powered customer interactions.
Lead a team of ML engineers building next-generation personalization and optimization systems, balancing hands-on technical work with team leadership, and driving both technical excellence and business impact. This role requires someone who can architect complex systems while mentoring others and collaborating across organizations.
Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the core infrastructure that powers our retrieval-augmented generation platform. You’ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.
Strategically guide Engineering Managers, Engineering Leaders, Architects, and Technical Leaders to execute ambitious product visions with precision, reliability, and scalability. Hire top talent, grow teams and inspire your vertical members. Lead, mentor, and inspire multiple high-performing engineering teams. Drive the development of scalable, highly available, and low-latency systems that enable real-time decision-making and maximize conversion rate.
Be part of a team working on building machine learning and generative AI powered solutions, create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions, build services that expose machine learning and AI based products, and deploy and manage various applications in production.
Lead a team of ML engineers building next-generation personalization and optimization systems, balancing hands-on technical work with team leadership. You will drive technical excellence and business impact, architecting complex systems while mentoring others and collaborating across organizations; contributing hands-on to critical model development with 50% coding.
The Staff Machine Learning Engineer will own the design, development, and scaling of ML systems powering next-generation payment flows, recommendation engines, and agentic commerce features; architect and scale ML systems powering agentic commerce workflows, including autonomous decision-making and checkout automation.
As a Senior Machine Learning Engineer at Artera, you'll be a key technical leader driving the development of AI-based biomarkers that personalize cancer therapy. You will design, build, deploy, and continuously improve multimodal models—combining whole-slide images with clinical and molecular data—to predict molecular traits and patient outcomes. You’ll translate clinical needs into robust, well-validated solutions.
As a Forward Deployed Software Engineer at Pareto AI, you'll partner with labs to understand their challenges and develop targeted solutions, providing close support in AI research and development. You'll leverage problem-solving capabilities and engineering expertise to address critical AI challenges for clients, configure tailored product demonstrations, and advise on LLM evaluation best practices.
As a Principal Machine Learning Engineer, you will lead ML efforts, ensuring that AI-powered product features provide the best possible support to patients through their hospital journey. You will work directly with the CTO, set the technical direction of the ML function, and write code, focusing on productionising and scaling ML solutions.