Senior Machine Learning Engineer

The Marlin Alliance, Inc.; San Diego (CA); On-site; USD 110,000 - 180,000; Full time

Job summary

An advanced technology firm in San Diego, CA, seeks a Senior Machine Learning Engineer to design, develop, and implement machine learning models for naval applications. Ideal candidates will have strong Python programming skills, experience in cloud-native development, and the ability to work closely with multidisciplinary teams. This role demands a commitment to mission-focused AI solutions within a dynamic Navy environment. Competitive salary of $110,000 - $180,000 offered.

Qualifications

• Experience as a data scientist or machine learning engineer.
• Proven experience developing algorithms or machine learning models in real applications.
• Strong programming skills in Python and familiarity with cloud platforms.

Responsibilities

• Collaborate with teams on Navy operational challenges using analytics.
• Design and implement data pipelines for naval applications.
• Monitor and optimize data pipelines for performance.

Skills

Python

Programming in Java, C++, Go, or Rust

Data engineering

Machine learning model deployment

Analytical problem-solving

Communication skills

Team collaboration

Education

Bachelor of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics

Tools

AWS

Docker

Kubernetes

Apache Kafka

Apache Airflow

TensorFlow

PyTorch

Job description

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%

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.

Required Skills And Experience

• 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.

Preferred Skills And Experience

• 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).

Education And Certification Requirements

• 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

Job Classification

Associate II

$110,000 - $180,000

Disclaimer

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities.

To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities.

This document does not create an employment contract, implied or otherwise, other than an “at-will” relationship.

An Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities