Staff Machine Learning Engineer (PhD)
JerryFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The internship offers competitive pay and a housing stipend.
This information is not specified in the job description.
Candidates must be enrolled in an MS or PhD program in Computer Science, Electrical Engineering, Applied Mathematics or related field, have a track record of applying machine learning like deep learning or reinforcement learning to computer vision or autonomy, a strong academic record, and experience in scientific software development with Python.
STR offers a collaborative learning environment with focused mentorship, flexibility and work-life balance, a vibrant community with fun summer activities, intern seminars and tech talks, and recognizes contributions of team members while tackling challenging real-world problems.
Strong candidates will have enrollment in an MS/PhD program in a relevant technical field, proven experience applying deep learning or reinforcement learning to computer vision or autonomy, a strong academic record with research interest, and Python-based scientific software development experience.
AI solutions for national security challenges
STR develops AI-driven platforms to tackle national security challenges, primarily for government agencies. Their main product, the STR infokit platform, combines data science, AI algorithms, and DevOps practices to deliver real-time insights and decision support. This platform is adaptable for various uses, including command and control systems and object recognition. STR differentiates itself by focusing on creating resilient systems that integrate artificial and human intelligence, providing clients with a significant decision-making advantage. The company's goal is to enhance safety and security through advanced technology while fostering a culture of diversity and creativity among its employees.