Machine Learning Applications Engineer (LA/DC Preferred)
Virtualitics is trailblazing Intelligent Exploration and Enterprise AI with our cutting-edge AI Platform. We are hiring an ML Applications 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.
As an ML Applications Engineer, you will:
- Design, develop, and maintain scalable software solutions built using the Virtualitics SDK to process and analyze large datasets.
- Architect and implement data pipelines and workflows to ensure efficient data collection, processing, and storage.
- Optimize data access patterns, enhancing the efficiency and performance of our AI solutions.
- Assess and address runtime performance issues, ensuring high responsiveness and stability of applications.
- Write clean, efficient, and maintainable code following best practices in software development.
- Collaborate closely with Technical Product Managers to implement usability enhancements in our applications, ensuring our products meet and exceed user expectations.
- Architect robust, scalable, and user-friendly applications, considering current trends and future growth.
- Craft and manage dynamic dashboards using the Virtualitics AI Platform Python SDK, transforming data into intuitive visuals for decision-making.
- Stay updated with the latest advancements in software engineering and data science fields and apply them to improve existing solutions.
Requirements:
- A degree in Computer Science or related field, or 4+ years of software engineering experience.
- Must be open to obtaining and maintaining a U.S. government security clearance.
- Proficiency in Python with a solid understanding of Python Data Stack (pandas, NumPy, scikit-learn, PyTorch, Matplotlib, etc.).
- Proven track record of deploying software into production environments.
- 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.
- 1+ years 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.
- Experience with Predictive Maintenance, USAF Data Sources, Supply Chain, Scheduling Optimization, etc.
- US DOD Security Clearance (Secret or TS/SCI)
- Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.
Compensation and Benefits:
- Competitive salary/equity/bonus based on experience and education.
- Comprehensive benefits package including medical, dental, and vision.
- Unlimited paid time off.
Interested candidates are invited to explore more about Virtualitics at https://virtualitics.com. Additional Information: Learn about Life at Virtualitics, Product Documentation
Similar Jobs
What We Do
Virtualitics, the Mission AI Company, is a leader in delivering AI readiness applications for commercial and government organizations. We are a fast growing AI company built on a decade of Caltech research in partnership with NASA/JPL, giving us a unique heritage in mission-critical innovation. We transform mission readiness and operational efficiencies at speed and scale by providing and predicting key insights that directly address critical capability gaps across key areas: Maintenance, Materiel, Supply Chain, Operational Insights and Deep Threat Analysis. Our patented technology focuses on providing AI-powered insights that are both easily consumed and trusted by analysts, operators and organizational leaders alike. This approach allows for rapid processing and analyzing of complex data to predict future outcomes and deliver clear, contextual insights for greater decision advantage. For more information about Virtualitics, visit virtualitics.com.
Why Work With Us
We've hired many veterans that have served and sat in the roles of our users, industry leaders and some of the smartest AI and data scientists to work together and build solutions to critical problems. Along with competitive pay, great benefits, and remote work, we seek highly collaborative, high performers passionate about making a difference.
Gallery
