Staff Machine Learning Engineer (Forecasting & Optimization)

Fetch is building a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party. As a Staff Machine Learning Engineer focusing on forecasting and optimization, you will design models to forecast offer performance and optimize offer structures. You'll use cutting-edge machine learning techniques to improve how Fetch designs offers to maximize redemption rates, user satisfaction, and overall campaign success. Your work will have a direct impact on how Fetch partners with brands to drive ROI.

Key responsibilities include:

• Developing and implementing machine learning models for forecasting offer performance and predicting key metrics
• Building optimization algorithms for offer structure design
• Collaborating with business and product teams to identify optimization opportunities
• Analyzing offer effectiveness and making improvement recommendations
• Using experimentation and simulation techniques to validate models and strategies
• Mentoring junior engineers and data scientists

We're looking for someone with:

• 7+ years of experience in machine learning, focusing on forecasting, optimization, or similar fields
• Strong programming skills in Python, R, or other relevant languages
• Expertise in optimization techniques and experience with large-scale data
• Excellent problem-solving skills and ability to turn complex business requirements into technical solutions

Join a fast-growing, founder-led technology company that's still in its early innings. Ranked one of America's Best Startup Employers by Forbes two years in a row, Fetch offers competitive compensation, equity, and comprehensive benefits. We provide a flexible work environment with remote options, continuing education support, and a culture that values diversity and inclusion.