Applied Machine Learning Engineer / Remote
Alexandria, Virginia
100% Remote
Full Time
$150k - $200k
A seed-funded startup focused on maritime domain awareness is looking for an Applied Machine Learning Engineer to join their team. This role would revolve around building, deploying, and experimentation of robotic AI cameras that can run 24/7, zoom in 7 nautical miles, identify activity, read vessel numbers and also theorize causation of maritime activity.
This highly autonomous role is perfect for an engineer that is able to be flexible, work across a range of machine learning and perception tasks. The engineer would be able to work with computer vision and senior fusion models, build inference pipelines, design experiments, fine-tune production behavior.
Required Skills & Experience
• Advanced Degree (Master's or PhD)
• US Citizenship is required
• Proficiency in Python, TensorFlow or PyTorch
• Experience with Edge or embedded ML deployments
Desired Skills & Experience
• Experience with AWS loT and deploying modules locally without AWS
• Familiarity with defense
• Work with resource constraint in the ocean
• Experience with Nvidia chips and Control Systems
• Experience with BSP (Board Support Package)
What You’ll Be Doing
Tech Breakdown
• 50% Python
• 25% Node.js
• 15% TypeScript
• 10% NoSQL/MongoDB
Daily Responsibilities
• 80% Hands-on Development
• 20% Cross-team collaboration
The Offer
• Competitive salary
• Restricted stock equity
• Platinum healthcare benefits
• Unlimited PTO and all federal holidays off
Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future
#LT-1
This highly autonomous role is perfect for an engineer that is able to be flexible, work across a range of machine learning and perception tasks. The engineer would be able to work with computer vision and senior fusion models, build inference pipelines, design experiments, fine-tune production behavior.
Required Skills & Experience
• Advanced Degree (Master's or PhD)
• US Citizenship is required
• Proficiency in Python, TensorFlow or PyTorch
• Experience with Edge or embedded ML deployments
Desired Skills & Experience
• Experience with AWS loT and deploying modules locally without AWS
• Familiarity with defense
• Work with resource constraint in the ocean
• Experience with Nvidia chips and Control Systems
• Experience with BSP (Board Support Package)
What You’ll Be Doing
Tech Breakdown
• 50% Python
• 25% Node.js
• 15% TypeScript
• 10% NoSQL/MongoDB
Daily Responsibilities
• 80% Hands-on Development
• 20% Cross-team collaboration
The Offer
• Competitive salary
• Restricted stock equity
• Platinum healthcare benefits
• Unlimited PTO and all federal holidays off
Applicants must be currently authorized to work in the U.S. on a full-time basis now and in the future
#LT-1