Junior Machine Learning Scientist/Engineer

Machina Cognita Technologies • Full-time • Carlsbad, CA, US • $80k - $120k / year • 2m ago

Position Overview:

Machina Cognita Technologies (MCT) is seeking a motivated, creative, intelligent individual to take on a high-impact role as a Junior Machine Learning Scientist/Engineer. This person will contribute to a growing array of developmental and fielded products focused on utilizing the latest machine learning technologies to solve real-world problems.

MCT is developing capabilities focused on enabling communication between human operators and autonomous systems in natural language, implementing collaborative autonomy solutions, developing real-time edge-device enabled digital assistants, geospatial predictive analytics, and more.

You’ll play a central role in research, development, and product design and have the opportunity to expand our offerings based on your personal interests. If you thrive in fast-paced environments, enjoy wearing multiple hats, and are passionate about advancing next-generation capabilities, we want to hear from you.

Key Responsibilities:

Research and development of cutting-edge machine learning technologies
Product design, development, and rapid prototyping
Software development for operational deployment in Python, Java, Javascript/Typescript, and/or C#
Contribute to the preparation of technical reports, milestone reviews, and product documentation.
Contribute to business development through proposal writing and customer relationship development

Qualifications:

Bachelor’s degree in Computer Science, Physics, Mathematics, Engineering, or a related field
Hands-on experience with software development, product development, and AI/ML algorithm development
Expertise in at least one of the following languages: Python, Java, Javascript, Typescript, C++, or C#
In-depth understanding of the fundamental mathematics behind machine learning algorithms
Strong written and verbal communication skills; ability to work across teams and disciplines

Preferred Qualifications:

Less than 5 years of hands-on experience in ML/AI, product development, and/or leadership
Master's or Doctoral degree in Computer Science, Physics, Mathematics, Engineering, or a related field
DoD Security Clearance (Secret or higher)
Willingness to travel
Familiarity with SBIR/STTR, BAAs, or other DoD R&D funding mechanisms.
Served in leadership roles in the US military on active duty status