Machine Learning Engineer - SATCOM, Python

Location: 100% Remote

Position Overview: We are seeking a Machine Learning Engineer to design, develop, and deploy robust ML solutions that solve real-world problems. The role focuses on building and optimizing modelsparticularly autoencoders and supervised classifiersusing Python, collaborating with cross-functional teams to translate requirements into scalable, production-ready systems, and ensuring model performance, reliability, and interpretability.

Key Responsibilities: Design, implement, and maintain machine learning models and pipelines in Python, with emphasis on autoencoders and supervised classification models. Develop data preprocessing, labeling, and augmentation workflows to prepare datasets for training and evaluation. Engineer and tune autoencoders for anomaly detection, compression, or representation learning tasks; build supervised classification solutions for production use cases. Perform feature engineering and selection, including time-series feature extraction where applicable, to improve model performance and robustness. Evaluate models using appropriate metrics, perform error analysis, and iterate on solutions to meet accuracy, latency, and resource constraints. Collaborate with data engineers, product managers, and domain experts to integrate models into applications and operational workflows. Deploy and monitor models in production, implement CI/CD practices, ensure reproducibility, and manage model versioning. Document experiments, maintain clear code and experiment artifacts, and follow best practices for testing, code review, and security. Stay current with ML research and industry best practices, and propose improvements to architectures, tooling, and processes.

Qualifications: Bachelors or Masters degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related field.3+ years of hands-on experience building and deploying machine learning models with Python. Must have the ability to get a security clearance in the future. Proven experience developing and applying autoencoders and supervised classification techniques in real projects. Strong programming skills in Python and familiarity with ML frameworks such as PyTorch or TensorFlow, and libraries like scikit-learn. Experience with data processing tools and pipelines (e.g., Pandas, NumPy, Spark) and with model evaluation and validation methodologies. Familiarity with software engineering best practices: version control (Git), testing, containerization (Docker), and CI/CD workflows. Excellent analytical, problem-solving, and communication skills, with the ability to work collaboratively in cross-functional teams. Experience in feature engineering for time-series data, strong background in RF and digital communications or signal processing, and experience deploying models on cloud platforms (AWS, GCP, or Azure). Email Your Resume In Word ToLauren.Formby@CyberCoders.comLooking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply. Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : LF2-2001758L090 -- in the email subject line for your application to be considered.

Lauren Formby - Director of Recruiting: For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This is a new role. This job was first posted by CyberCoders on 11/08/2026 and applications will be accepted on an ongoing basis until the position is filled or closed. This job was posted on 11/08/2026 and is open for 60 days Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law.

Our hiring process includes: AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter. Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements. Copyright © 2026 Everforth, Inc. All rights reserved.