CoreAI Staff Engineer

Keystone Strategy • Seattle, WA

269d • $101,000 - $270,000 • Hybrid

About The Position

Keystone is a premier strategy, technology and economics consulting firm providing AI-driven services to large companies, law firms, and government agencies. The firm builds, operates, and transfers enterprise AI solutions that automate and optimize operational and commercial decision-making. Keystone also supports clients in high-stakes legal cases and regulatory matters by delivering economic analysis and expert witness testimony. We are all connected by one mission: bringing transformative ideas to life on behalf of our clients. Keystone's CoreAI Group employs the world's best AI/ML science and technology practitioners with unparalleled experience implementing highly complex, massive-scale algorithms and models to help companies make better decisions across manufacturing, supply chain management, sales, and marketing. We are based Bellevue, WA and have a hybrid work environment. Core AI Engineers will leverage a deep understanding of machine learning, software engineering, and problem solving to build scalable, robust solutions for clients. They will lead the entire development process, work with our econometricians, scientists, and engineering teams to scope solutions, develop and train ML models, deploy them into production environments, and set up monitors, alerts and diagnostic tools to support model operations. We are a tech focused consultancy where traditional reporting lines are fluid and adaptable, fostering an environment of collaborative teamwork. As a startup we seek candidates who are versatile, flexible, and eager to learn and share knowledge across a variety of roles and challenges. The most successful candidates will have a broad range of production software development skills, flexibility to wear many hats, and an enthusiasm for learning and a collaborative approach to sharing knowledge with colleagues at all levels.

Requirements

• Possesses at least 4 years of experience in machine learning, software engineering, and system architecture, with demonstrated expertise in developing and deploying ML models and building infrastructure for model scaling and pipeline automation.
• Is proficient in programming languages such as Python, R, or Java, and has experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Is familiar with cloud computing platforms and distributed computing frameworks.
• Has experience implementing econometrics methods including double machine learning, time series analysis, and optimization techniques.
• Is experienced with virtualization and cluster management tools, including Docker & Kubernetes.
• Has demonstrated the ability to deliver end-to-end ML solutions that has meaningful value to stakeholders.
• Is an excellent communicator and has strong teamwork skills to collaborate effectively with diverse stakeholders.

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.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Bachelor's degree