Austin Tech Jobs and Startup Jobs

3

Machine Learning Engineer

CognitiveScale
Austin
8 hours ago
Analyze complex data from various sources to build next-generation ML systems Assist the engineering and operations organizations in integrating and deploying your solutions Estimate the effort involved and skills needed from a machine learning perspective for a specific customer engagement Able to learn industry processes and incorporating them in the solution Maintain high standard of quality and adhere to best coding practices. Coordinate and work collaboratively with remote teams to ensure smooth delivery Be responsible for measuring and optimizing the quality of your algorithms

Machine Learning Research Scientist

CognitiveScale
Austin
8 hours ago
Stellar background in statistical machine learning and data mining, in areas including but not limited to: online learning, nonlinear optimization, high-dimensional data clustering, classification, regression, ranking, probabilistic graphical models, and deep learning. PhD degree in AI, ML, statistical NLP or related technical fields. 10+ years of hands-on experience working in data science and/or machine learning. Practical experience building, testing and deploying ML models at scale. Experience with one or more of the programming languages and machine learning tools (Python, R, Julia, C/C++, Scala). Strong publication history in top-tier journals and conferences (e.g., Machine Learning Journal, DMKD, KAIS, ICML, KDD, ACL, NIPS, ECML, NAACL, IJCAI, AAAI). Strong interpersonal and communication skills and must be able to explain technical concepts and analysis implications clearly to a wide audience, including senior executives, and be able to translate business objectives into action. Experience with deep learning tools and packages (Caffe, PyTorch, Tensorflow). A clear passion for learning emerging technologies independently and continuously.

Machine Learning Leader

CognitiveScale
Austin
6 days ago
Effectively lead, motivate, and scale a highly talented machine learning team doing applied research and development. Lead the development of AI accelerators and infrastructure requirements for our platform. Align with peers in sales, marketing, customer success, and engineering teams to make sure our AI capabilities are delivered to the market in the most effective way. Work with our customer success team to estimate the effort involved and skills needed from a machine learning perspective for a specific customer engagement. Design and champion best practices and processes that drive organizational excellence. Handle team coordination and management tasks such as project assignments, defining team member business objectives, operations, etc..

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