Core AI Engineer

$101,000 - $270,000/Yr

Keystone Strategy - Seattle, WA

Full-time - Mid Level

Hybrid - Seattle, WA

Professional, Scientific, and Technical Services

About the position

As a Core AI Engineer at Keystone Strategy, you will leverage your expertise in machine learning and software engineering to develop scalable solutions for clients. This role involves collaborating with cross-functional teams to design, implement, and deploy machine learning models, ensuring they are integrated into existing systems and processes. You will also be responsible for continuous improvement of CI/CD frameworks and staying updated on advancements in AI technologies.

Responsibilities

• Collaborating with cross-functional teams to identify business challenges and opportunities for applying machine learning techniques
• Designing, implementing, and testing machine learning models to extract valuable insights from large and complex datasets
• Conducting thorough data analysis and pre-processing to ensure high-quality input for the models
• Integrating machine learning solutions into existing systems and processes and scaling them for real-world applications
• Contributing to the development of proprietary machine learning models/tools and frameworks
• Continuously improving CI/CD and testing frameworks and methodologies
• Continuously researching and staying updated on the latest advancements in machine learning and AI technologies

Requirements

• Expert knowledge in machine learning, software engineering, and system architecture
• Proficiency in programming languages such as Python, R, or Java, and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Minimum 4 years of experience as a Machine Learning Engineer, Software Engineer, Data Scientist, or a similar role, with a focus on developing and deploying ML models
• Familiarity with cloud computing platforms and distributed computing frameworks
• Familiarity with the implementation of econometrics methods including double machine learning, time series analysis, and optimization techniques
• Experience with virtualization and cluster management tools, including Docker & Kubernetes
• Demonstrated performance of delivering end-to-end ML solutions that have meaningful value to stakeholders
• Excellent communication and strong teamwork skills

Nice-to-haves

• Strong academic background in Economics/Econometrics
• Experience with Jax for machine learning

Benefits

• Annual discretionary bonus
• 401k contribution
• Competitive benefits package