Logo
nou Systems, Inc.

Senior Machine Learning Engineer

nou Systems, Inc., Huntsville, Alabama, United States, 35824


Salary Range:

$100,000.00 To $160,000.00 Annuallynou Systems, Inc. (nSI)

solves diverse and challenging technical problems in an enjoyable, stimulating environment, while providing unsurpassed value to our customers.We are pleased to announce the opening for a

Machine Learning Engineer

who will join our Technical Solutions division in Huntsville, Alabama and become part of our rapidly growing technology company operating in missile defense, cybersecurity, test range modernization, biotechnology, and space control marketspaces. You will be part of a team designing machine learning solutions from the lab to the field.Responsibilities:Develop, train, and analyze machine learning models for supervised learning and reinforcement learning.Strategically plan projects and architect elegant solutions.Work on a mix of projects, collaborating with data scientists and educating non-data-science teams on the value and limitations of machine learning solutions.Architect ML solutions and navigate difficult tradeoffs.Help identify and design training data sets.Implement and customize ML models from open literature.Visualize and communicate results in written documents and oral presentations.Brief technical concepts and results to non-specialist audiences.Bring in new work to the Technical Solutions division through proposals and conferences.Help develop junior engineers and add value beyond your own technical contributions.Support multiple teams and work effectively with other teammates.Basic Qualifications:A master’s degree in computer science, math, physics, or a related field (a bachelor’s degree plus 2 additional years of experience).5 years of hands-on experience with deep learning models (supervised, unsupervised, and reinforcement learning) using PyTorch, Tensorflow, or Jax.Must possess or can obtain an active Secret clearance.This is a mid-senior level position. We are looking for extensive hands-on experience with deep learning models, strong software development fundamentals in Python, and the ability to organize a team to work efficiently. We expect great written and verbal communication skills and the ability to interface with customers. We are looking for someone who is a team player and is glad to lead a variety of machine learning projects as opportunity presents.Preferred Qualifications:Excellent understanding of the statistical foundations of machine learning.Ability to cleanly structure ML projects in Python.Strong intellectual curiosity.Experience leading ML projects that require multidisciplinary solutions.Demonstrated experience explaining technical concepts and data analysis results to non-specialist audiences.Experience with time series data, satellite imagery, and graph neural networks.Experience deploying and maintaining ML models in production.Experience with MLOps tools (PyTorch Lightning, Optuna, MLflow, etc.)Experience with DevOps tools (Git, Gitlab, CI/CD, Remote Computing, Docker)Benefits of working at nSI:Competitive Wages*Medical plan with Health Savings Account eligibilityCompany-funded Life, Short-Term & Long-Term Disability InsurancePersonal Time Off, Vacation, and Paid Holidays401(k) Retirement PlanEmployee Stock Ownership Plan (ESOP)Flexible Spending AccountsNorton LifeLockTuition ReimbursementPersonal Development, Technical Learning Opportunities, & Lunch-n-LearnsCorporate Sponsored Events & Community Outreach*Final compensation for this position is determined by a variety of factors, such as a candidate’s relevant work experience, skills, certifications, and geographic location.nSI is an Equal Opportunity EmployerEmployment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law.

#J-18808-Ljbffr