Staff Machine Learning Engineer

Fetch, America's Rewards App, is seeking a Staff Machine Learning Engineer focusing on forecasting and optimization. This role involves designing models to forecast offer performance and optimize offer structures using cutting-edge machine learning techniques. The successful candidate will have a direct impact on how Fetch partners with brands to drive ROI.

Key responsibilities include:

• Developing ML models for forecasting offer performance and predicting key metrics
• Building optimization algorithms for offer structures
• Collaborating with business and product teams
• Analyzing offer effectiveness and making improvement recommendations
• Using experimentation and simulation techniques
• Mentoring junior engineers and data scientists

Requirements:

• 7+ years of experience in machine learning, focusing on forecasting or optimization
• Expertise in time-series forecasting, predictive analytics, and optimization techniques
• Strong programming skills in Python, R, or similar languages
• Experience with large-scale data and robust data pipelines
• Excellent problem-solving skills

Fetch offers a competitive benefits package, including equity, 401k match, comprehensive health benefits, continuing education support, flexible PTO, and a inclusive work environment. The company has been ranked as one of America's Best Startup Employers by Forbes for two consecutive years.

This full-time role can be held from one of Fetch's US offices or remotely within the United States, offering flexibility to the right candidate.