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Open nowPosted 38 days ago

Machine Learning Engineer - R126

Expedition Technology28 open roles

Pay
$95,600 – $147,200 a year
Where
Herndon, VA
Work mode
On site
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Your applicationOpen nowMachine Learning Engineer - R126Expedition Technology · Herndon, VA

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The clock on this job

Early applications get read.

12.8% of postings close within 7 days. Measured by our own scanner across the market. Expedition Technology postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.5%3 days
  3. 12.8%7 days
  4. 20.6%14 days
  5. 35.6%30 days
  6. 58.4%60 days
This job: posted 38 days ago

Expedition Technology median: 7 days open

The posting

At Expedition Technology (EXP), we work on real-world problems whose solutions will make an immediate impact on national security. If you desire an opportunity where you will apply your deep learning and software engineering expertise to challenging problems with no known solutions, EXP is the place to be!

Currently, we are seeking an experienced Deep Learning Software Engineer who will work with a dynamic team that is delivering novel solutions to our Intel Community. We’re looking for someone who has in-depth understanding of Deep Learning architectures such as YOLO, RF-DETR, CLIP, DINO and other state of the art object detection models and techniques. The candidate should feel comfortable developing and testing end-to-end deployable systems; from sourcing and curating data, building, training, and evaluating models, to productizing final deliverables.

If you feel fulfilled by rolling up your sleeves and thinking about hard problems, building and integrating learning-based algorithms and systems, and delivering robust solutions in a fast paced but scientifically rigorous environment, we want to hear from you!

Interested in joining our team? Here’s what you’ll need to succeed:

Responsibilities include:

Working in a team to develop deep learning architectures and pipelines for novel applications Implementing solutions in Python (PyTorch) Delivering high-quality, carefully tested software Participate in team brainstorming sessions to shape innovative solutions Researching academic literature to keep abreast of the latest theories, techniques, and tools

Required Skills and Experience:

An active Secret clearance (TS/SCI preferred) US Citizenship – must be eligible to maintain a US-Government issued security clearance of Top Secret or higher MS and 2+ years of experience or BS and 4+ years of experience in a technical field such as Computer Science, Electrical Engineering, Physics, Statistics, or Applied Mathematics Proven proficiency in PyTorch, TensorFlow, or other modern machine learning framework Solid theoretical understanding of deep neural networks as well as its applications, particularly in computer vision Proven experience architecting, training, testing, and deploying machine learning solutions within an AWS environment Experience using collaborative source code management tools (Git) Strong technical presentation and writing skills

Clearance Required: Top Secret/SCI

Compensation Salary Ranges by Career Level: Early-career: $95,600 - $147,200 Mid-career: $130,300 - $209,900 Late-career: $154,600 - $242,900

We recognize that every candidate brings a unique combination of experience and expertise. This position may be filled at multiple career levels, and compensation within the posted range will be determined based on relevant experience, education, technical expertise, specialized skills, the level at which the position is filled, and other job-related considerations.

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