Machine Learning Engineer - US TS/SCI Clearance (DC Metropolitan Area)
Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with our cutting‑edge AI Platform. We are hiring an ML Engineer with the capability and readiness to obtain a U.S.‑government security clearance. This role is pivotal in bridging the worlds of machine learning, data engineering, and software development to enhance our AI data applications. Career advancement opportunities are available for those interested in senior engineering positions and technical leadership.
Responsibilities
- Spearhead platform upgrades, ensuring our products are at the forefront of innovation and effectiveness.
- Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision‑making.
- Optimize data access patterns, enhancing the efficiency and performance of our AI solutions.
- Tackle runtime performance issues, ensuring high responsiveness and stability of applications.
- Architect robust, scalable, and user‑friendly applications, considering current trends and future growth.
- Collaborate closely with Technical Product Managers to drive usability enhancements, ensuring our products meet and exceed user expectations.
Requirements
- A degree in Computer Science or related field, or 4+ years of software engineering experience.
- Must have a TS/SCI security clearance.
- Must be willing to travel and work from a SCIF as needed.
- Proven track record of deploying software into production environments.
- Proficiency in Python with a solid understanding of the Python Data Stack (pandas, NumPy, scikit‑learn, PyTorch, Matplotlib, etc.).
- Experience with big data technologies and frameworks (Spark, Databricks, Snowflake, etc.).
- Familiarity with Docker, Kubernetes, and Git.
- Exceptional problem‑solving skills and a keen sense of ownership.
- Excellent communication skills in English, both written and verbal.
Pluses
- Experience in Machine Learning Engineering roles and the end‑to‑end lifecycle of AI applications, from model development to deployment.
- Experience with Predictive Maintenance, Supply Chain, Scheduling Optimization, etc.
- Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.
- 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web‑app development stacks (e.g. Flask/Django) or app building kits like Streamlit/Plotly Dash.
Compensation and Benefits
- Competitive salary/equity/bonus based on experience and education.
- Comprehensive benefits package including medical, dental, and vision.
- Unlimited paid time off.