AI/ML Engineer

New Yesterday

This is a U.S. based position. 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. Who we are:
Raft () 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.
About the role:
In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising of 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:
2-3 years of relevant hands-on experience
Practical experience in Machine Learning models and Software Engineering
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 platforms and pipelines
Experience in building machine learning models, and
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
SOFA framework familiarity
Clearance Requirements:
Active Secret clearance
Work Type:
Onsite in Boulder, CO with some hybrid flexibility
May require up to 10% travel
Salary Range :
$175,000 - $200,000
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 withthemission.
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: IAm, BecauseWe 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. We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
Apply
Location:
Boulder, CO, US

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