ML-DevOps Engineer

STR is seeking a ML DevOps Engineer to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security. We are seeking an Engineer with a passion for optimization and versatile skills in production ML pipelines and general DevOps.

We encourage candidates who are comfortable jumping into new projects, including identifying key requirements, defining the solution / architecture, selecting the appropriate tools and technology stack for the job, prototyping, and implementing deliverable software and algorithms. Fluency in at least one containerization framework (e.g., Docker, Podman) and deep learning framework (e.g., PyTorch, TensorFlow), as well as proficiency in a Linux environment are a must. Strong candidates will also have experience with container orchestration (e.g., Kubernetes), writing CI/CD pipelines (e.g., Jenkins), and comfort with a DevOps framework (e.g., Ansible, Puppet). 

Duties will include:

• Developing and sustaining automated deployment of ML pipelines on secure systems
• Optimizing deep learning models for inference on resource-limited systems including edge devices
• Building and hardening Docker containers for use in a secure environment
• Collaborating with small research teams to instill best DevOps practices
• Integrating cutting edge program analysis tools into CI/CD pipelines (e.g. Gitlab CI) and developer workflows
• Delivering high-quality automation in a team environment

Requirements

• Ability to obtain a Top Secret (TS) Security Clearance
• BS in Computer Science or a related field, or equivalent experience
• Comfortable on the Linux command line and the standard POSIX tooling (e.g., grep, awk, sed, etc)
• Proficient in a containerization framework such as Docker or Podman
• Proficient in a deep learning framework such as PyTorch or TensorFlow
• Proficient in at least one programming language
• Proficient in a DevOps framework such as Ansible or SaltStack
• Motivated collaborator and effective communicator to both technical and non-technical audiences

Additional Desirable Skills

• Experience with TensorFlow Serving, TFLite, or TorchServer
• Experience with writing or debugging CUDA code
• Experience with a container orchestration framework such as Kubernetes

STR is a rapidly growing technology company with locations north of Boston, MA, Arlington, VA and near Dayton, OH. We specialize in advanced research and development for defense, intelligence, and national security, trying to understand how to protect our society: from stopping malicious botnet attacks, to understanding cyber vulnerabilities, providing next generation sensors, radar, sonar, communications, and electronic warfare to developing artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. Visit us at www.str.us for more info.

STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, but you go home at night knowing that you pushed the forefront of technology and made the world a little safer. We recognize that the world is changing, that it is becoming more connected than ever before, making things change faster than before, and reshaping society in the process. We all want to understand this changing world and leave it better for our work.

STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws.

If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info.

Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.