Machine Learning Specialist

About the role

Applied Physics is seeking a highly motivated Machine Learning Specialist to join its Machine Learning team at the Advanced Propulsion Laboratory. The role sits within a multidisciplinary research environment focused on new and emerging fields, and involves both independent and collaborative research.

Key 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 integrating algorithms into larger programmatic systems that require these capabilities.
• Collaborate with colleagues in a multidisciplinary team to achieve research goals.
• Pursue independent and collaborative research interests and interact with a wide range of scientists inside and outside the laboratory.
• Publish research results in peer-reviewed journals and present them at conferences, seminars and meetings.
• Travel as required to coordinate research with collaborators and visit field sites.

Required profile

• PhD in Computer Science, Computational Engineering, Applied Statistics, Applied Mathematics or another technical discipline with a background in data analysis and machine learning.
• Experience developing and applying algorithms in one or more machine learning areas such as deep learning, representation learning, zero- or few-shot learning, active learning, reinforcement learning, natural language processing, ensemble methods, or statistical modeling and inference (e.g., probabilistic graphical models, Gaussian processes, nonparametric Bayesian methods).
• Proven ability to carry out original research and communicate findings in peer-reviewed publications.
• Experience working with multidisciplinary teams of scientists, engineers and project managers to inform engineering decisions.
• Proficient verbal and written communication skills.

Required skills

• Programming in Python, Java, Scala or C/C++.
• Deep learning libraries such as PyTorch, TensorFlow, Keras or Caffe.

What we offer

• A competitive salary and benefits package.
• Flexible work hours.
• Opportunities for growth and career development.