Machine Learning Researcher

Qualifications

• Ph.D. in Computer Science, Applied Mathematics, Statistics or related field or the equivalent combination of education and related experience.
• 8+ years of experience post PhD in research in machine learning and data analysis
• Significant experience in foundational or applied machine learning research area and large scale data analysis.
• Experience independently developing, implementing, and applying advanced statistical tools, machine learning models, and data analysis algorithms using modern software libraries such as C++, PyTorch, TensorFlow, or similar as evidence through medium to large scale models, applications, and experiments.
• Demonstrated research productivity, as documented by publications, reports, presentations, and/or open-source software in high impact venues, such as, IEEE Transactions, NeurIPS, ICML, MLST, PNAS, etc.
• Significant experience in working with diverse teams to solve complex problems and deliver practical solutions.
• Substantial record of sustained program development and strategic engagement in fields related to machine learning and data analysis.
• Experience leading research teams in achieving long term objectives and delivering solutions.
• Expert verbal and written communication and interpersonal skills necessary to effectively collaborate with internal and external teams to present and explain technical information and to advise senior management and external sponsors.
• Experience in working with subject matter experts in one or more areas, such as physics, biology, or engineering.
• Record of sustained engagement with regulators, funding agencies, top level management, or other oversight agencies.
• Demonstrated record of program development in machine learning, data analysis, or related fields.
• Experience providing scientific and technical directions to R&D teams delivering innovative approaches with significant impact and internal and external recognition.
• Experience with high-performance computing, GPU programming, parallel programming, cloud computing, and/or related methods including running numerical simulations or complex workflows