Artificial Intelligence​/Machine Learning Engineer Level 1

Overview

The Artificial Intelligence/Machine Learning (AI/ML) Engineer designs, creates, tests, and productizes AI/ML algorithms to solve business challenges. The AI/ML models should be capable of learning and making predictions as defined by the business logic to meet customer requirements. The AI/ML Engineer should be proficient in model architecture, data pipeline interaction, and metrics application, interpretation, and presentation. Familiarity with foundational concepts of application development, infrastructure management, data engineering, and data governance is expected.

The Engineer designs and creates scalable solutions for optimal performance by training, retraining, deploying, scheduling, monitoring, and improving models through iterative user and system feedback. The AI/ML Engineer may lead geographically diverse teams and often serves as a primary point of contact for AI-related matters, requiring exceptional analytical, problem-solving, and communication skills. Expert knowledge of multiple programming languages (e.g., Python, Java, C, R) is a plus.

• 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.

The annual base salary range for this role is $148,000-$175,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from the posted hiring range based on geographic location, work experience, education, and/or skill level, among other factors.

2 years of experience in applied machine learning in programs and contracts of similar scope, type, and complexity is required. A B.S. degree in advanced math (e.g., calculus, linear algebra or Bayesian statistics), computer science, or related STEM discipline from an accredited college or university is required. 3 years of additional machine learning experience on projects with similar machine learning processes may be substituted for a bachelor’s degree.

Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning a solid reputation as technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done.

If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla’s team, Nyla provides a top-of-market compensation and benefits package. Through our Nyla FLEX program, we customize benefits to fit your lifestyle. The Nyla FLEX program offers flexibility in pay, leave, and schedule. Nyla starts with 4 weeks of annual leave plus 11 holidays and offers additional leave options and scheduling flexibility.

100% company coverage for health care (medical, dental, and vision) and 10% 401k matching with full vesting from day 1 are provided. Our Professional Development provides $5,000 per year for fees, tuition, or time off for continued growth. We also offer a student loan repayment program and 8 hours of volunteering annually.
To learn more about Nyla's culture and our exceptional benefit packages, please inquire with the recruiting team. Nyla is an equal opportunity employer.