Senior Machine Learning Engineer
About this role
This Senior Machine Learning Engineer position is located in Melbourne, Florida, and suits professionals with at least five years of industry experience who possess expertise in deep learning frameworks and a background in signal processing. The role involves collaborating with senior scientists to design experiments, build datasets, and develop machine learning solutions for complex problem sets.
Role Overview
ENSCO, Inc. is hiring a full-time Senior Machine Learning Engineer to work within the Mission Systems Group in Melbourne, Florida. The professional in this role will build datasets, execute controlled experiments, evaluate algorithm performance, and mentor junior engineering staff.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The salary range for this position is $110,000 to $145,000 USD per year. The company offers a comprehensive benefits package.
About the Company
For over 50 years, ENSCO, Inc. has delivered advanced technology, engineering, and science solutions to government and private sector clients worldwide. The organization focuses on systems engineering, integration, and advanced technologies to support safety and security missions across ground, air, space, and information domains.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the salary range for the Senior Machine Learning Engineer role?
The salary range is between $110,000 and $145,000 USD.
Where is the job located?
The position is located in Melbourne, Florida, United States.
What level of education or experience is required?
Candidates need a bachelor's degree in Machine Learning, Data Science, Mathematics, or a related discipline (or direct relevant military experience), alongside a minimum of 5 years of related industry experience.
Is a security clearance required for this position?
Yes, applicants must be U.S. citizens and have the ability to obtain and maintain a US security clearance.
What programming languages and frameworks are expected?
The role requires advanced proficiency in data science languages like Python and Matlab, and demonstrated experience with deep learning frameworks such as PyTorch, TensorFlow/Keras, scikit-learn, and MXNet.