Qualifications

• Demonstrated interest in engineering for impact
• 2+ years of hands-on experience with machine learning and optimization models
• 2+ years of experience with model deployment, monitoring and version control
• Graduate work in an optimization field (e.g., RL, Convex Optimization, Bayesian Optimization), PhD or Advanced MS degree
• Proficient in Python, Flask/Django, Pandas, and Numpy
• Quick learner with the ability to pick up new technologies

Responsibilities

• Build and implement machine learning models from scratch
• Develop optimization algorithms critical to business outcomes
• Monitor, maintain, and control versions of deployed models
• Collaborate closely with the CTO to align on technical and strategic objectives
• Drive innovation in data processes and analysis within the team

Benefits

• Remote work flexibility
• Opportunity to influence the company's core technology
• Be part of a fast-growing team with significant impact
• Collaborative environment working directly with the CTO
• Access to an office in San Francisco for those who prefer in-house work