Software/Machine Learning Engineer - R123

United States·Herndonfull-timemid

Machine Learning EngineerData

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Quick Summary

Overview

Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things.

Technical Tools

Machine Learning EngineerData

Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. We’re looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy.

As a member of our team, you will: 

work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks.
develop features, automated workflows and bug fixes for the system using Python 3, Docker, Kubernetes and AWS services.
collaborate with a team to develop deep learning architectures and pipelines for novel applications.
contribute to SDLC and coding best practices.
develop and design RESTful APIs and streaming services.
identify and resolve performance bottlenecks.

Does this sound like a challenge you’d like to embrace? 

Here are some of the skills we are looking for:

United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance
Active Top Secret or higher security clearance (TS/SCI preferred)
BA/BS or higher in Computer Science, Computer Engineering or closely related field
At least 3 years + experience with backend development, ideally in AWS Cloud environments
Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability)
Some experience with integrating Kubernetes, Docker or other containerized ecosystems 
Familiarity with object-oriented design and languages - emphasis on Python and Javascript
Some experience or interest in designing and implementing machine learning pipelines to deply machine learning models in a containerized environment
Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)
Configuration Management (CM) experience using Git and familiarity with branching strategies
Enjoy learning new technologies and creating compelling software
Work with minimum supervision as part of a collaborative, agile team

What We Offer

~1 min read

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.

Location & Eligibility

Where is the job

Herndon, United States

On-site at the office

Who can apply

About this job

Pay per year: $95,600–$147,200 a year; 42% below the $210,000 median for Machine Learning Engineer jobs on Jobera (869 salaries).
Who can apply: United States
Posted: 26 days ago
Employer: has 27 open jobs on Jobera.