Machine Learning Engineer

Virtualitics; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary/equity/bonus

Comprehensive benefits package including medical, dental, and vision

Job summary

A leading AI exploration company is seeking an ML Applications Engineer to enhance their AI data applications. This pivotal role merges machine learning, data engineering, and software development, requiring proficiency in Python and a readiness to obtain a U.S. government security clearance. The position includes responsibilities for designing scalable software solutions and collaborating with other teams to ensure product usability. Competitive salary, equity, and comprehensive benefits package are offered, promoting career advancement opportunities.

Qualifications

• Must be open to obtaining a U.S. government security clearance.
• Proficiency with Python Data Stack (pandas, NumPy, scikit-learn, etc.).
• Proven track record of deploying software into production environments.

Responsibilities

• Design and maintain scalable software solutions using Virtualitics SDK.
• Architect and implement data pipelines for data collection and storage.
• Collaborate with Product Managers to enhance application usability.

Skills

Python proficiency

Problem-solving skills

Excellent communication in English

Education

Degree in Computer Science or related field or 4+ years experience

Tools

Docker

Kubernetes

Git

Job description

Overview

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.

Responsibilities

• 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.
• 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.