Senior AI/ML Engineer

Summary

Join Raft, a customer-obsessed company focused on Distributed Data Systems and Complex Application Development, as a Senior AI/ML Engineer. You will collaborate with a cross-functional team to develop machine learning models and pipelines for a DoD computer vision platform. This role requires 4+ years of relevant experience, proficiency in Python and PyTorch, and experience with computer vision and data pipelines. The position offers a competitive salary, comprehensive benefits, remote work options, and professional development opportunities. A Security+ certification is required within 90 days of employment. The ideal candidate will possess experience with satellite or medical imagery and active security clearance.

Requirements

• 4+ years of relevant hands-on experience
• Proven capability in deploying machine learning models, particularly using frameworks like PyTorch
• Experience with Computer Vision
• Strong background in software engineering with proficiency in Python
• Experience building data ingestion pipelines (i.e. ETL)
• Experience building and maintaining machine learning pipelines
• Demonstrated ability to work independently and collaboratively in a team environment
• Excellent problem-solving skills with meticulous attention to detail
• Familiarity with scrum/agile development methodologies and DevOps tools, including Git
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Required to obtain Security+ certification within the first 90 days of employment
• Ability to obtain and maintain a Top Secret clearance

Responsibilities

Develop machine learning models and pipelines integral to mission success within the computer vision platform

Preferred Qualifications

• Active security clearance
• Experience with Satellite or Medical Imagery
• Experience with frontier models
• Active contributions to open-source projects or visible GitHub repositories
• Knowledge of container orchestration systems, particularly Kubernetes

Benefits

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Annual budget for your tech/gadgets needs
• Monthly box of yummy snacks to eat while doing meaningful work
• Remote, hybrid, and flexible work options
• Team off-site in fun places!
• Generous Referral Bonuses