Machine Learning Specialist

Responsibilities

• 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.

• 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 non-parametric 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, Tensor Flow, 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.

We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world.

If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics.

Applied Physics is an equal opportunity employer.