(REMOTE) - ML Architect / Principal Data Scientist - General Dynamics Mission Systems : Job Details

Bachelor's of Science in a STEM (Science, Technology, Engineering, Mathematics) related field, plus 8 yrs or Master's degree plus 6 yrs.

Due to the nature of work performed within our facilities, U.S. citizenship is required.

The Deep Learning Analytics Center of Excellence (DLACoE) at General Dynamics Mission Systems is actively seeking a seasoned data scientist with a robust background in Deep Learning (DL), advanced data visualization, software development, and full Machine Learning (ML) life cycle management. This individual serves in a pivotal role that interfaces directly with our business development teams, leading the identification and cultivation of innovative AI/ML initiatives. Furthermore, the role entails the responsibility of engaging with our clientele, educating them about what AI can and cannot do, our approach to problem solving, and our progress to date on their programs.

In addition to these client-facing duties, this person plays a critical internal team role. They lead our interdisciplinary teams in tackling complex DL challenges by leveraging and refining cutting-edge training methodologies and model architectures to solve problems across diverse data modalities underwater, on land, in the air, and in space. The role also encompasses a mentorship dimension, guiding and fostering the professional growth of fellow team members within the DLACoE.

Candidates for this position are expected to demonstrate a high level of technical acumen, excellent communication skills, and a passion for continuous learning within the ever-evolving field of artificial intelligence.

Our Commitment to You:

• A workplace that allows you to take your career to the next level.
• Access to expansive and diverse datasets to grow your data science portfolio.
• Applied research oriented work, alongside award-winning teammates to develop practical solutions that directly impact the company's bottom line.
• Training budget to help you develop your professional skills, attending conferences, obtaining certifications, even a master's degree.
• Flexibility to fully manage your own schedule.
• Opportunities & encouragement to patent and/or publish your work.

What You'll Do:

• Lead teams of data scientists on full life cycle data-driven solutions.
• Mentor fellow data scientists and provide guidance on their efforts.
• Perform data wrangling, preprocessing, and manipulation for ML applications.
• Apply advanced statistical methods and reporting techniques to large datasets.
• Interpret data analysis and experimental results, and communicate insights.
• Develop ML systems for both supervised and unsupervised learning tasks.
• Master DL algorithms and address their limitations related to hardware or data.
• Conduct experiments to enhance model performance and clearly report outcomes to both technical and non-technical audiences.
• Optimize DL architectures for performance and support systematic optimization efforts.
• Deploy ML solutions across diverse platforms, from large clusters to small SWaP (Size, Weight, and Power) environments.
• Monitor ongoing model performance to detect and adjust for data drift.
• Follow best practices for software documentation and reporting.

Skills You'll Bring:

• Proficiency in ML and DL frameworks, such as scikit-learn, TensorFlow, and PyTorch.
• Strong expertise in Deep Learning.
• Experience with hands-on development of AI applications.
• Excellent leadership skills.
• Excellent written and verbal communication abilities.
• Proficiency in software development, especially Python.
• Understanding of validation methods for ML models.
• Experience with distributed version control systems and DevOps tools, such as GitLab, Git, Docker, and Kubernetes.
• Experience with Linux command line, including bash and shell scripting.
• Expertise in handling large, complex datasets including image, cyber, NLP, and signal data.
• Skills in data preparation and corpus filtering using databases like PostgreSQL and MySQL.
• Familiarity with experimental design for data science projects.
• Experience in full ML operations lifecycle (MLOps).

Target salary range: USD $156,160.00/Yr. - USD $173,240.00/Yr. This estimate is based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting remains open until filled.

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high-tech solutions, products, and services that enable customers to successfully execute missions across all domains of operation. With a global team of over 12,000 professionals, we partner with industry leaders to expand innovation in defense and scientific fields. We value trust, honesty, alignment, and transparency. We offer competitive benefits and pride ourselves on being a great place to work with a shared purpose. Join us if our mission resonates with you!

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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