Role. Machine Learning Architect. Location. Boulder Colorado. Summary. As a machine learning architect on the R&D team at Plus One Robotics you will be responsible for developing new machine learning architectures and algorithms to ingest and generalize the multimodal data generated by our production systems (over 1.5 million datapoints per day). While we borrow heavily from open source and academic research communities every application is uniqu...
A company is looking for a Machine Learning Architect to shape the future of the automotive industry.Key ResponsibilitiesServe as a liaison between R&D and stakeholders to ensure technical alignment with business objectivesContribute to the development, scaling, and optimization of ML / AI solutions in alignment with company goalsDevelop APIs and microservices to enable seamless integration of ML models into production systemsRequired Qualificati...
This is a founding role. You will work directly with Venkat (the CTO) to optimize our agent-based retrieval. You will be expected to help with engineering across the stack, including model architecture research, latency optimization at both the software and hardware level, cloud infrastructure, and product roadmap. You will also work closely with our customers on onboarding, support, and keeping them happy. We're looking for people who have demon...
About Tekion. Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects...
Full-time or part-time : Full-time. Job title. Machine Learning Architect. Job Location. 2700 Sand Hill Road, Menlo Park, CA 94025. Job Description. Lead the design and implementation of state-of-the-art machine learning models and algorithms to solve complex business problems. Utilize various techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning, to extract insights from large datasets. Conduct exp...
