Data Scientist - Computer Vision, Data & Machine Learning (DML)

Amazon • Herndon, VA

2d • Hybrid

About The Position

This position requires that the candidate selected be a US Citizen and currently
possess and maintain an active Top Secret security clearance.

Join a sizeable team of data scientists, research scientists, and machine
learning engineers that develop computer vision models on overhead imagery for a
high-impact government customer. We own the entire machine learning development
life cycle, developing models on customer data:

- Exploring the data and brainstorming and prioritizing ideas for model
development
- Implementing new features in our sizable code base
- Training models in support of experimental or performance goals
- T&E-ing, packaging, and delivering models

We perform this work on both unclassified and classified networks, with portions
of our team working on each network.

We seek a new team member to work on the classified networks. Three to four days
a week, you would travel to the customer site in Northern Virginia to perform
tasking as described below. Weekdays when you do not travel to the customer
site, you would work from your local Amazon office. You would work
collaboratively with teammates to use and contribute to a well-maintained code
base that the team has developed over the last several years, almost entirely in
python. You would have great opportunities to learn from team members and
technical leads, while also having opportunities for ownership of important
project workflows. You would work with Jupyter Notebooks, the Linux command
line, Apache AirFlow, GitLab, and Visual Studio Code. We are a very
collaborative team, and regularly teach and learn from each other, so, if you
are familiar with some of these technologies, but unfamiliar with others, we
encourage you to apply - especially if you are someone who likes to learn. We
are always learning on the job ourselves.

Requirements

• 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Bachelor's degree or above in computer science, machine learning, engineering, or related fields
• Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2
• Current, active US Government Security Clearance of Top Secret or above

Nice To Haves

• Master's degree or above in computer science, machine learning, engineering, or related fields
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience working on multi-team, cross-disciplinary projects
• Experience effectively communicating complex concepts through written and verbal communication
• Experience in Linux, PyTorch, and Git workflows for MLOps

Responsibilities

• Run data conversion pipelines to transform customer data into the structure needed by models for training
• Perform EDA on the customer data
• Train deep neural network models on overhead imagery
• Develop and implement hyper-parameter optimization strategies
• Test and Evaluate models and analyze results
• Package and deliver models to the customer
• Incorporate model R&D from low-side researchers
• Implement new features to the model development code base
• Collaborate with the rest of the team on long term strategy and short-medium term implementation.
• Contribute to presentations to the customer regarding the team’s work.

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level