Remote Staff Machine Learning Engineer (Forecasting & Optimization)

Description:

• As a Staff Machine Learning Engineer at Fetch, you will focus on forecasting and optimization, designing models to forecast offer performance and optimize offer structures.
• Your role involves using cutting-edge machine learning techniques to enhance how Fetch designs offers, aiming to maximize redemption rates, user satisfaction, and overall campaign success.
• Your work will directly impact how Fetch collaborates with brands to drive ROI.
• Fetch is a fast-growing technology company with a people-first culture, empowering employees to think big and find new ways to bring fun to the platform.

Requirements:

• 7+ years of experience in machine learning, with a focus on forecasting, optimization, or a related field.
• Proven experience with machine learning models for time-series forecasting, predictive analytics, and optimization.
• Strong programming skills in Python, R, or other relevant languages.
• Expertise in optimization techniques such as linear programming, convex optimization, etc.
• Experience working with large-scale data and building robust data pipelines.
• Excellent problem-solving skills and the ability to translate complex business requirements into technical solutions.

Benefits:

• Competitive compensation packages with a base salary range of $100,000 - $220,000 based on experience, along with equity in Fetch for all employees.
• 401k Match: Dollar-for-dollar match up to 4%.
• Comprehensive medical, dental, and vision plans for employees and their pets.
• Continuing Education: $10,000 per year in education reimbursement.
• Employee Resource Groups: Participate in fostering a diverse and inclusive workplace through events, dialogue, and advocacy.
• Paid Time Off: Flexible PTO, 9 paid holidays, and a year-end week-long break.
• Robust Leave Policies: 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers, and a flexible return-to-work schedule.
• Calvin Care Cash: A one-time $2,000 incentive for employees welcoming new family members to assist with childcare costs.