Data Scientist - Computer Vision, Data & Machine Learning

Amazon; Arlington (VA); Hybrid; USD 136,000 - 184,000; Full time

Job summary

A global technology company is seeking a skilled machine learning engineer to join their team in Arlington, VA. You will be responsible for developing computer vision models while collaborating with data scientists and engineers. The role requires 3+ years of experience in Python and machine learning. Candidates must have a current Top Secret security clearance. This position offers a competitive salary range of $136,000 to $184,000 annually, along with comprehensive benefits.

Benefits

Health insurance

401(k) matching

Paid time off

Parental leave

Qualifications

• 3+ years experience with data querying languages (SQL) and scripting languages (Python).
• Experience with machine learning/statistical modeling and analysis tools.
• Current, active US Government Security Clearance of Top Secret or above.

Responsibilities

• Develop computer vision models on overhead imagery.
• Run data conversion pipelines for training data.
• Package and deliver models to the customer.
• Collaborate on long-term strategy and implementation.

Skills

SQL

Python

machine learning

data analysis

deep neural networks

Education

Bachelor's degree in computer science, machine learning, engineering or related fields

Tools

AWS services (S3, Redshift, Sagemaker, etc.)

Linux

PyTorch

Git

Job description

Overview

Description

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.

Responsibilities

• With support from technical leads, carry out tasking across the entire machine learning development lifecycle to develop computer vision models on overhead imagery
• 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

Basic Qualifications

• 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

Preferred Qualifications

• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

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