Software Mach. Learn Engr (GNSS, Software Defined Radio)

The Charles Stark Draper Laboratory, Inc. hires a Machine Learning Engineer 1 to design and implement machine learning, artificial intelligence, and data science tools for research and development projects. The role develops and evaluates AI models, applies ML and deep learning technologies, and collaborates with teams and customers to define requirements and address business problems.

What you'll do:

• Designs and develops AI models to meet project requirements
• Analyzes and improves AI model performance
• Applies ML and deep learning technologies to give computers the capability to visualize, learn, and respond to complex situations
• Collaborates across departments and with customers to define requirements and understand business problems
• Seeks out opportunities to learn new technical skills
• Reviews task-level requirements and assumptions and works to solve well-defined problems with guidance
• May perform independent and team based research with guidance
• Asks for help when needed and seeks out resources for solving problems. Delivers on commitments and clearly communicates any challenges
• Desire to learn about customer missions
• Works to improve operations at the task / individual contributor level. Identifies areas for improvement and brings them to the attention of task or group leadership
• Performs other duties as assigned

What they're looking for:

• Excellent analytical, mathematical, and problem-solving skills
• Strong ML/AI software development skills (Python, MATLAB, R, C++, JAVA) including software best practices like version control (git)
• Team player
• Excellent organizational skills and attention to detail
• Excellent time management skills with the proven ability to meet deadlines and prioritize tasks
• Excellent verbal and written communication skills
• Bachelor's degree in computer science, machine learning, statistics, mathematics, electrical engineering, computational biology, physics, or related field is required
• 0-3 years machine learning or artificial intelligence or related experience is required
• Exposure to GNSS and Software Defined Radio a plus

Benefits:

• Hybrid available
• Workplace flexibility
• Employee clubs ranging from photography to yoga
• Health and finance workshops
• Off site social events
• Discounts to local museums and cultural activities