AI/ML Engineer

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional small business with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development, with headquarters in McLean, VA. Our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

We’re looking for an experienced AI/ML Engineer to support our customers and join our passionate team of high-impact problem solvers.

About the role:

As an AI/ML Engineer, you will collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists. Your primary responsibility will be to develop Machine Learning models that are integral to a larger pipeline delivering value to our end customers. This role is contingent on contract award.
What we are looking for:

• 3-5 years of relevant hands-on experience
• Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred)
• Experience with Kubernetes and Docker
• Experience with Computer Vision
• Pragmatic knowledge of various ML subfields, especially NLP, CV, and Time Series
• A passion for (and track record of) innovation, an interest in exploring and leveraging new data modalities, and working across interdisciplinary teams
• Experience building and maintaining machine learning pipelines
• Experience in using data processing frameworks (Apache Spark preferred)
• Practical programming and scripting skills (Python preferred)
• 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

Highly preferred:

• Publications or GitHub repos showcasing your skills
• Experience with TypeScript
• Prior work with LLM’s and Agentic Workflows

Clearance Requirements:

• Active TS with ability to obtain and maintain SCI

Work Type: 

• Onsite in Tampa, Florida 
• May require up to 10% travel

Salary Range:

• $200,000 to 250,000
• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you:

• 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
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration.