
5001 - 10000 employees
🚀 Aerospace
🔒 Cybersecurity
Aerospace • Cybersecurity • Defense
Mission Technologies is a division of HII focused on delivering advanced technologies and solutions to enhance national security. The company specializes in a variety of capabilities, including cyber and space operations, advanced military technologies, and integrated systems for air, land, and sea forces. Through innovative strategies such as AI and C5ISR, Mission Technologies aims to strengthen the operational capabilities of the U. S. military and support joint operations across multiple domains.
🕒 April 15
Improve your chances of getting an interview by checking your resume score before you apply.

5001 - 10000 employees
🚀 Aerospace
🔒 Cybersecurity
Aerospace • Cybersecurity • Defense
Mission Technologies is a division of HII focused on delivering advanced technologies and solutions to enhance national security. The company specializes in a variety of capabilities, including cyber and space operations, advanced military technologies, and integrated systems for air, land, and sea forces. Through innovative strategies such as AI and C5ISR, Mission Technologies aims to strengthen the operational capabilities of the U. S. military and support joint operations across multiple domains.
• Collaborate with the team using Confluence, Discourse, GitLab, and Jira • Perform code reviews and maintain high engineering standards • Work with government leadership to ensure program alignment • Meet with customers to collect requirements and incorporate feedback • Provide regular progress updates to leadership and customers • Conduct multidisciplinary research to support modeling and development goals • Contribute to team vision, direction, and simulation architecture discussions • Design, develop, document, test, and debug space simulation software
• 2 years relevant experience with Bachelors in related field; 0 years experience with Masters in related field; or High School Diploma or equivalent and 6 years relevant experience. • Proficiency in C++ • Successful completion of a technical C++ coding challenge • Understanding of compiling, linking, and debugging C++ applications • Experience with constructive, agent based, event driven modeling and simulation • Basic space knowledge (coordinate systems, time, orbital propagation, etc.) • Strong problem solving skills, attention to detail, and ability to thrive in a fast paced, agile environment • U.S. Citizenship and the ability to obtain a Top Secret clearance.
• Health insurance • 401(k) matching • Paid time off • Employee assistance programs • Tuition reimbursement • Early childhood and post-secondary education scholarships
Apply Now🕒 April 15
Machine Learning Engineer building systems for personalization at Spotify. Collaborating across data science and engineering for impactful user recommendations.
🕒 April 10
Algorithms Manager at Beacon Biosignals leading a team developing machine learning systems for precision medicine. Accountable for delivery, technical decisions, and team performance.
🕒 April 8
Machine Learning Engineer developing robotic welding solutions at Path Robotics. Leveraging computer vision and deep learning to solve challenges in industrial contexts with AI-driven systems.
🇺🇸 United States – Remote
💰 $100M Series C on 2021-07
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
🦅 H1B Visa Sponsor
Cloud
Python
PyTorch
🕒 April 2
Machine Learning Engineer at Adapter focusing on deploying ML models and optimizing performance. Engaging with cross-functional teams to implement innovative AI solutions.
🇺🇸 United States – Remote
💵 $180k - $225k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
Distributed Systems
Python
PyTorch
Tensorflow
🕒 April 2
Forward Deployed ML Engineer at HOPPR supporting partners in integrating AI/ml into radiological software. Engaging with clients, fine-tuning models and ensuring successful deployments.
🇺🇸 United States – Remote
💵 $70k - $137k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kubernetes
Python
PyTorch
Tensorflow