Staff Machine Learning Engineer
San Diego Metro Area
Shield AI
AI pilots will revolutionize battlefields and commercial aviation at a scale greater than the self-driving movement reshaping our highways.
Introduction to Shield AIShield AI’s mission is to protect service members and civilians with intelligent systems. Shield AI is a fast growing, venture-backed defense-technology company built around a team of proven executives, distinguished warfighters, and world-class AI engineers. Since 2018, Shield AI’s products and people have supported operations around the world with the US Department of Defense and our allies. Most recently, we acquired Heron Systems and Martin UAV as wholly owned subsidiaries of Shield AI. Join our team and shape the future of artificially intelligent systems.
At Shield you’ll be part of an elite team that uses machine learning to develop the best AI pilot. Help us build world-class infrastructure for autonomous behavior, scene understanding and embedded AI. We develop large pipelines for training, evaluating and productizing machine learning models. As a member of our machine learning team you will work with colleagues to develop new models in the areas of reinforcement learning, attention mechanisms and object detection and tracking. You will develop workflows to train and evaluate models and to ensure that they operate at peak performance onboard the different autonomous platform.
If you're interested in being part of our team, apply now! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. To conform to U.S. Government regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
At Shield you’ll be part of an elite team that uses machine learning to develop the best AI pilot. Help us build world-class infrastructure for autonomous behavior, scene understanding and embedded AI. We develop large pipelines for training, evaluating and productizing machine learning models. As a member of our machine learning team you will work with colleagues to develop new models in the areas of reinforcement learning, attention mechanisms and object detection and tracking. You will develop workflows to train and evaluate models and to ensure that they operate at peak performance onboard the different autonomous platform.
What you’ll do:
- create efficient ways to represent and learn in multi-agent 3D environments
- strive to improve neural networks expressive capacity and agent performance
- identify efficient algorithms to train multiple agents driving towards a unified objective
- drive towards scale by leveraging low-fi/high-fi efficient training and other forms of agent pre-training
- Identify efficient algorithms to learn in scenarios of incomplete or imperfect information (e.g., learning how to bluff)
- make progress towards improving rigorous evaluation of agents
Required qualifications:
- Bachelors in computer science, software engineering, machine learning engineering or similar field.
- You have a demonstrated record of working hard, being a trustworthy teammate, holding yourself and others to high standards, and being kind to others.
- Good written and verbal communication skills.
Preferred qualifications:
- Masters degree in machine learning, data science, mathematics, physics or computer science
If you're interested in being part of our team, apply now! Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. To conform to U.S. Government regulations, applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Tags: Computer Science Engineering Machine Learning Mathematics ML models Physics Pipelines
Region:
North America
Country:
United States
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