Staff Machine Learning Software Engineer

Raft Company Website • Herndon, VA

1d • Onsite

About The Position

In your role as a Full-Stack Engineer, you will collaborate with a cross-functional data team comprising engineers and scientists of wide-ranging disciplines. Your primary responsibility will be to act as the bridge between the internal product team and customer deployments, understanding the data and ecosystem to which the product will be deployed, the deployment itself, and leading the development and execution of the future road map for your specific customer. You will contribute code to the core product, and work with leadership to define engineering tasks and goals.

Requirements

• 5+ years of relevant hands-on experience
• Practical experience in Software Engineering
• Experience with data science or ML model training
• Experience with Kubernetes
• Practical programming and scripting skills (Python preferred)
• A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
• Fast learner, analytical thinker, creative, hands-on, strong communication skills
• Able to work both independently and as part of a team
• Excellent problem-solving skills and attention to detail.
• Proven experience with modern software development and engineering practices including scrum/agile, Git, and DevOps
• Obtain Security+ within the first 90 days of employment with Raft
• Active Top Secret clearance with ability to obtain and maintain SCI
• All of the programs we support require U.S. citizenship to be eligible for employment.
• All work must be conducted within the continental U.S.

Nice To Haves

• Prior examples of products or systems built/managed/deployed
• Familiar with core ML fundamentals
• Previous experience building systems for DoW
• Previous experience working in a SCIF day-to-day
• Hungry to iterate fast and solve hard problem

Responsibilities

• Act as the bridge between the internal product team and customer deployments
• Understanding the data and ecosystem to which the product will be deployed
• Understanding the deployment itself
• Leading the development and execution of the future road map for your specific customer
• Contribute code to the core product
• Work with leadership to define engineering tasks and goals

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 needs
• Generous Referral Bonuses
• And More!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed