Role overview
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.
What you'll work on
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%
- 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.
What we're looking for
- Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics, OR Equivalent years of relevant experience in lieu of a degree
- Additional certifications in cloud, data engineering, GIS, or cybersecurity are a plus