Machine Learning Software Engineer

Job Description :

As a Machine Learning Software Engineer, you will be an early employee of the new innovation organization within Saab in stealth mode.

You’ll be creating tools and techniques for building scalable architecture, understanding complex database schemas, and helping build best in class software.

You will be embedded with the Training & Simulation team in Orlando, FL, helping to design the future of ground combat training analytical decision aids ultimately serving the US Marine Corps and US Army.

Designs, develops and programs systems to maintain, consolidate and analyze unstructured, diverse big data sources. Interacts with product and service teams to build the database structure to allow data scientists to identify questions and issues for data analysis and experiments.

Develops and builds software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Your day to day responsibilities will be varied and changing frequently, including :

Writing and reviewing python code at least 80% of your time

Creating APIs, demos, and documentation for customer feedback and use

Streaming tabular data processing

Integration with third-party infrastructure

MySQL, NoSQL, MSSQL

Compensation Range : $108,000-$137,700

The compensation range provided is a general guideline. When extending an offer, Saab, Inc. considers factors including (but not limited to) the role and associated responsibilities, location, and market and business considerations, as well as the candidate's work experience, key skills, and education / training.

Skills and Experience :

REQUIREMENTS

Must hold or be able to obtain U.S. DoD SECRET security clearance and be a U.S. Citizen.

High interest in supporting the US Marine Corps and US Army ground combat training mission.

Proficient software engineering skills across multiple languages including Python.

Machine learning libraries such as Tensorflow, PyTorch, Keras, Caffe

Database Experience.

Experience with AWS.

Experience with Ubuntu environment and the command line

BS in Computer Science, Software Engineering, Applied and Computational Mathematics or related discipline.

BONUS POINTS

Experience with infrastructure / deployment on AWS

Familiar with GeoJson File Formats (Open Street Maps Schema)

Light data science experience, can integrate open source APIs

Experience with Docker, Kubernetes

Experience with testing and continuous integration

Natural language processing and unsupervised learning experience

Familiarity with optimization methods and heuristic techniques for solving constrained optimization problems

Experience in gaming, modeling and simulation, or working in live-virtual-constructive training environments.

Experience or high interest in ground combat training

Military experience, including familiarity with tactics, techniques and procedures for ground combat, military communications, and intelligence, surveillance and reconnaissance systems.

MS in Computer Science, Software Engineering, Applied and Computational Mathematics or related discipline.

Active US Government Security Clearance

Citizenship Requirements :

Must be a U.S. citizen. Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Drug-Free Workplaces :

Saab is a federal government contractor and adheres to policies and programs necessary for sustaining drug-free workplaces.

As a condition of employment, candidates will be required to pass a pre-employment drug screen.

Benefits :

Saab provides an excellent working environment offering professional growth opportunities, competitive wages, work-life balance, business-casual atmosphere and comprehensive benefits :

Medical, vision and dental insurance for employees and dependents

Paid time off including : minimum of 3 weeks vacation, 5 floating holidays, 8 designated holidays, parental leave, personal illness, bereavement, jury duty, long-term and short-term disability

401(k) with immediate vesting on employer match

Tuition assistance

Student loan assistance

Wellness account, Care.com subscription and employee assistance programs

Employee stock purchase program with employer match