Principal AI Engineer

This is a fully remote position, open to applicants in Illinois, +3 more states.

📋 Description

• Design, develop, and implement sophisticated machine learning models and algorithms.

• Choose appropriate techniques, preprocess data, engineer features, train models, and assess performance.

• Spearhead research projects, conduct experiments, evaluate algorithms, and identify opportunities for innovation.

• Create AI system architectures that prioritize scalability, performance, and reliability.

• Optimize algorithms, utilize distributed computing frameworks, and employ cloud services.

• Collaborate with data scientists, software engineers, and product managers to explore AI integration possibilities.

• Offer technical guidance, leadership, and mentorship to junior engineers.

• Supervise design review sessions and ensure compliance with best practices.

• Collaborate with the engineering manager and team lead on long-term design and implementation strategies.

• Facilitate feedback loops and continuous improvement processes.

• Conduct meetings, monitor progress, resolve issues, and coordinate team activities.

• Present technical strategies and their business impact to executive stakeholders.

• Utilize data mining, data modeling, natural language processing, and machine learning techniques to analyze datasets.

• Contribute to complex applications, system administration, or network solutions as needed.

• Translate customer requirements and industry trends into AI/ML products, solutions, and system enhancements.

• Document installation and maintenance procedures, complete programming tasks, perform testing and debugging, and define and monitor performance metrics.

⛳️ Requirements

• Bachelor's or master’s degree in computer science, engineering, data science, machine learning, artificial intelligence, or a closely related quantitative discipline.

• Over 8 years of experience in AI and Machine Learning.

• Strong understanding of supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling.

• Proficiency in implementing and deploying machine learning algorithms including decision trees, random forests, support vector machines, and neural networks.

• Familiarity with TensorFlow, PyTorch, or Sci-kit.

• Expertise in deep learning techniques, architectures, and frameworks, such as CNNs, RNNs, and GANs.

• Proficient in Python, Java, or C++.

• Capable of writing clean, efficient, and maintainable code.

• Experience with data wrangling, feature extraction, dimensionality reduction, addressing missing values, and managing data quality issues.

• Knowledge of linear algebra, calculus, probability theory, and statistics.

• Proficient in data visualization tools and techniques.

• Familiar with software engineering principles, Git, testing methodologies, and agile development practices.

• Experience leading AI research initiatives, publishing research papers, or contributing to open-source AI projects.

• Experience in guiding and mentoring fellow engineers.

• Strong communication skills for cross-functional collaboration, technical leadership, and mentorship.

🏝️ Benefits

• Comprehensive benefits that support physical, financial, and emotional well-being.

• Personal and professional development programs.

• Opportunities for career growth.

• Flexible work arrangements to accommodate work and personal needs.

• An inclusive workplace.

• Variable incentives may also be available.