Austin Tech Jobs and Startup Jobs

4

Machine Learning Intern

CognitiveScale
Austin
6 hours ago
Ability to analyze data and propose an ML solution. Help develop algorithms and predictive models to solve critical business problems. Able to learn industry processes and incorporating them in the solution. Be responsible for measuring and optimizing the quality of your algorithms. Work closely with the ML team to identify, design and build appropriate datasets for complex experiments.

Software Engineer - Machine Learning & Data En…

CognitiveScale
Austin
3 days ago
Has a passion for designing and developing elegant software solutions within time constraints in an agile environment Recognizes opportunities for enhancing application performance through the use of vectorization, parallelization, pipelining, and query optimization Identifies and improves application bottlenecks by interpreting performance profiling reports Has strong collaborative skills coupled with the ability to question Enjoys sharing knowledge and growing the capabilities of the team and organization Has a passion for learning

Machine Learning Engineer

CognitiveScale
Austin
3 days 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
3 days 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.

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