Senior Machine Learning Engineer
About The Position
The Marlin Alliance, Inc. is seeking a Senior Machine Learning Engineer to design, develop, and implement advanced machine learning models and algorithms in support of naval applications. This role requires deep technical expertise in modern machine learning methods, distributed systems, cloud-native development, and software engineering best practices. The Senior ML Engineer will collaborate with multidisciplinary teams to deliver mission-focused AI solutions that integrate into operational Navy environments. Established in 2002, The Marlin Alliance is seeking to hire highly skilled individuals to support mission critical projects within the Navy. We are looking for motivated individuals to lead and support digital transformation, data science and analytics, and automation projects for variety of Navy clients. Individuals must be able to function in a fast-paced work environment and able to adapt quickly to rapidly changing requirements and technologies. Using your comprehensive knowledge of various technologies, you will design, develop, and implement solutions to support Navy mission owners in their digital transformation journey. Citizenship and Clearance requirements: U.S. Citizenship required No dual citizenship Active TS security clearance required Active TS SCI security clearance preferred Location - ON-Site near one of the following locations: 1st Space Brigade - Fort Carson, CO Air Force TENCAP - Colorado Springs, CO NIWC LANT - Charleston, SC Buckley Space Force Base - Denver, CO NAVWAR - San Diego, CA Travel: 15%
Requirements
- Experience as a data scientist, data engineer, geospatial engineer, machine learning engineer, or software engineer.
- Proven experience developing and deploying algorithms, mathematical models, or machine learning models in real-world applications.
- Strong programming skills in Python.
- Familiarity with cloud platforms (e.g., AWS, Azure) or containerization technologies (e.g., Docker, Kubernetes).
- Familiarity with software engineering best practices, including Git.
- Strong programming skills in Java, C++, Go, or Rust.
- Strong analytical, problem-solving, and communication skills.
- Ability to work effectively in a collaborative team environment.
- Ability to safely carry tools, equipment, and materials aboard ship, including ascending and descending shipboard ladders(stairwells) and navigating confined spaces while maintaining required points of contact. Tools and equipment will weigh no more than 50 lbs.
- Ability to perform required work aboard Navy vessels and in shipboard environments, including navigating narrow passageways, ascending and descending ladders (stairwells), working on elevated platforms, and operating in variable sea conditions.
- Ability to perform activities on a recurring basis during shipboard operations or testing evolutions.
- Ability to comply with Navy safety requirements and wear required personal protective equipment (PPE).
- Candidates should be prepared to complete a coding exercise as part of the interview process.
- U.S. Citizenship required
- No dual citizenship
- Active TS security clearance required
- Active TS SCI security clearance preferred
Nice To Haves
- Experience with distributed computing and parallel processing.
- Experience with CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins).
- Experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Experience with cloud-native architecture and software API design.
- Experience integrating machine learning into operational DoD systems or edge computing environments.
- Familiarity with DoD AI strategies, MLOps, or data engineering in secure environments.
- Previous experience supporting government agencies or military organizations. (NAVWAR, NIWC Pacific, or other Navy C2/ISR programs strongly preferred).
Responsibilities
- Collaborate with cross-functional teams to understand and address Navy operational challenges using data pipelines and analytics.
- Design, develop, and implement data pipelines and analytics for naval applications.
- Perform exploratory data analysis, algorithm development, and testing.
- Normalize and structure data to common standards for interoperability.
- Work with multiple data formats, including CSV, JSON, XML, Parquet, and ORC.
- Develop and deploy data pipelines and analytics in real-world operational environments.
- Deploy, monitor, and optimize data pipelines to ensure high performance and reliability.
- Implement event streaming pipelines using Apache Kafka, AWS Kinesis, RabbitMQ, or ZeroMQ.
- Utilize distributed computing platforms such as AWS Lambda, Dask, or Spark.
- Leverage cloud-native tools including AWS S3, RDS, EFS, SNS, and SQS.
- Utilize data pipeline frameworks such as AirByte, Apache Airflow, dbt, Apache Iceberg, and Snowflake.
- Work with GIS data using ArcGIS, PostGIS, and related tooling.
- Implement containerized environments using Docker or Kubernetes.
- Apply cybersecurity principles in the context of secure DoD data applications.
- Communicate findings and engineering solutions effectively with technical and mission stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
