Raft
Principal AI/ML Engineer
Raft, Tampa, Florida, us, 33646
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 (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
Principal AI/ML Engineer
to support our customers and join our passionate team of high-impact problem solvers.
About the role:
Raft is building a platform for the DoD the enables operators and analysts to train custom computer vision models without any machine learning experience. Built on our extensive data platform and AI Toolkit, this platform not only orchestrates entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Front and Back-End Engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists. Your primary responsibility will be to develop machine learning models and pipelines that are integral to mission success within this computer vision platform.
What we are looking for:
7+ years of relevant hands-on experience
Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred)
Experience in building and training custom computer vision models
Practical experience in Software and Data Engineering
Practical experience with frontier models
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
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:
Active security clearance
Experience with CV applications on Satellite or Medical Imagery
Experience with Kubeflow Pipelines
Publications or GitHub repos showcasing your skills
Experience with Kubernetes
Experience working with customers to better optimize their ML objectives
Clearance Requirements:
Ability to obtain and maintain a Top Secret clearance
Work Type:
Hybrid - Tampa, FL
May require up to 30% travel
Salary Range :
$140,000 - $225,000
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
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
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.
U.S. citizenship to be eligible for employment. All work must be conducted within the continental U.S. 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
Principal AI/ML Engineer
to support our customers and join our passionate team of high-impact problem solvers.
About the role:
Raft is building a platform for the DoD the enables operators and analysts to train custom computer vision models without any machine learning experience. Built on our extensive data platform and AI Toolkit, this platform not only orchestrates entire machine learning lifecycles, but also data ingestion, enrichment, model exporting and serving, and much more. In your role as an AI/ML Engineer, you will collaborate with a cross-functional data team comprising other AI/ML Engineers, DevSecOps engineers, Front and Back-End Engineers, Product Owners, Data Engineers, Data Analysts, and Data Scientists. Your primary responsibility will be to develop machine learning models and pipelines that are integral to mission success within this computer vision platform.
What we are looking for:
7+ years of relevant hands-on experience
Practical experience designing, training, and deploying Machine Learning models (PyTorch preferred)
Experience in building and training custom computer vision models
Practical experience in Software and Data Engineering
Practical experience with frontier models
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
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:
Active security clearance
Experience with CV applications on Satellite or Medical Imagery
Experience with Kubeflow Pipelines
Publications or GitHub repos showcasing your skills
Experience with Kubernetes
Experience working with customers to better optimize their ML objectives
Clearance Requirements:
Ability to obtain and maintain a Top Secret clearance
Work Type:
Hybrid - Tampa, FL
May require up to 30% travel
Salary Range :
$140,000 - $225,000
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
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
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.