Develop and implement custom machine learning models for a variety of tasks in the domains of signal processing and sensor fusion
Stay up-to-date on literature, identify and pursue cutting edge model development techniques for low SWaP deployment
Communicate and interpret cutting-edge research in both theory and experiment with colleagues
Engage with the broader scientific community by publishing research findings in scientific journals and presenting at conferences
Stay up to date with the latest developments in machine learning and sensor fusion
Provide guidance and support to other team members, fostering a collaborative research environment

BS or MS in computer science, mathematics, statistics, physics, or another closely related field
2+ years of industrial experience
Experience in developing, training, and optimizing machine learning models using Python
Proficient in scientific computing and HPC environments, comfortable working with large datasets
Familiarity with common machine learning tools, libraries, and frameworks (e.g. PyTorch, pandas, scikit-learn)
Demonstrated ability to work and communicate with all levels of an organization;
Professional-level communication skills, including verbal, written, and presentation skills
Demonstrated ability to work comfortably in a highly collaborative, cross functional, team-oriented, and matrixed environment
Demonstrated ability to learn new and complex topics quickly
Resourceful problem-solver who collaboratively identifies effective paths forward with demonstrated expertise in executing productization efforts
Passion for solving complex problems and challenges in a highly technical and scientific environment

In addition to your base compensation, we offer a generous Total Rewards program which includes:

Machine Learning Engineer

Key skills