Applied Physics
McKinsey of Physics with a Bell Labs IP Arm
astrophysics • general relativity • aerospace defense • quantum mechanics • material science
11 - 50
Machine Learning Specialist
March 30
🏢 In-office - Manhattan
Applied Physics
McKinsey of Physics with a Bell Labs IP Arm
astrophysics • general relativity • aerospace defense • quantum mechanics • material science
11 - 50
Description
• Conduct research on state-of-the-art Machine Learning algorithms relevant to the problem being addressed. • Implement, train, and validate proposed algorithms for specific problem domains. • Contribute to the integration of algorithms within larger programmatic systems that require these capabilities. • Collaborate with others in a multidisciplinary team environment to accomplish research goals. • Pursue both independent and collaborative research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory. • Publish research results in peer-reviewed scientific journals and present results at conferences, seminars, and meetings. • Travel as required to coordinate research with collaborators and visit field sites.
Requirements
• PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics, or another technical discipline providing an underlying skillset in data analysis and Machine Learning techniques. • Fundamental knowledge of and/or experience developing and applying algorithms in one or more of the following Machine Learning areas/tasks: deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, or nonparametric Bayesian methods). • Experience in the broad application of one or more higher-level programming languages such as Python, Java, Scala, or C/C++. • Experience with one or more deep learning libraries such as PyTorch, TensorFlow, Keras, or Caffe. • Proven ability to undertake original research and communicate findings in peer-reviewed publications. • Experience working with a multidisciplinary team of scientists, engineers, and project managers to develop and apply these capabilities to inform engineering decisions. • Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.
Benefits
• Competitive salary and benefits package • Flexible work hours • Opportunities for growth and career development
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