Machine Learning Engineer
Job Description
Select appropriate data sets
Perform statistical analysis
Run machine learning algorithms
Use results to improve models
Train and retrain systems when needed
Experience in working with various ML libraries and packages
Run standard test and evaluation protocols
Provide system integration oversight
Oversee Test and evaluation of AI and ML algorithms through an iterative design process to meet verification and validation requirements
Research and implement a broad range of AI and ML algorithms and tools
Design or Select appropriate data and knowledge representation methods
Recognize software architecture, data modelling, and data structures
Transform and convert data science prototypes into scalable solutions
Verify data and model output quality
Identify differences in data distribution that affect model performance
Qualifications
- Active TS/SCI with Polygraph Clearance Required
- Master's or Ph.D. degree in advanced math, artificial intelligence, data science, computer science or deep learning from an accredited college or university
- 5 years’ experience in applied machine learning in programs and contracts of similar scope, type, and complexity
- 5 additional years of machine learning experience with a relevant Bachelor's degree may be substituted for a Master's degree
Benefits
- 25 days PTO
- 11 paid holidays
- 100% employer-paid healthcare for employees and dependents – available day 1
- 8% 401(k) employer match – immediate vesting
Disclaimer
The salary range provided is an estimate based on current market conditions and may be adjusted based on factors such as experience, skills, and qualifications. The final salary offer will be determined after a thorough review of the candidate's background and alignment with the role. Please note that this range is subject to change and should be considered as a guideline rather than a definitive figure.