Responsibilities Develop and enhance the machine learning platform to manage the full model life cycle. Build frameworks and tools to enable the data science team in developing and enhancing predictive models, and support scalable real‑time predictions
At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety,
ABOUT THIS POSITION We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain‑specific AI systems using Language Models (LMs) and agentic architectures. As a core member
At ASI, we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity, Safety,
Overview Every product built on Prism eventually needs to do real, multi-step work against the ERP, not just retrieve information. The Workflow Engine is the shared foundation that makes that a customers quote to cash work
Overview Prism runs on third-party AI models, RAG/hybrid search and a set of Prisms own core agents, all coordinated by an orchestrator that Epicor built and owns. That orchestrator decides which model or agent should handle
Autonomous Solutions Inc builds autonomous systems for fleets operating in demanding, high-risk, and repetitive environments. Founded in 2000, weve grown into one of the largest privately held robotics companies in the world, with deployments across heavy
Embedded Software Engineer IV – AI Applications Salt Lake City Region (hybrid/onsite) Target Start Date: ASAP Overview Our client, a leader and growing presence in the robotics and autonomous vehicles space, is seeking a senior Embedded
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side