Staff Machine Learning Engineer (Forecasting & Optimization)

What we’re building and why we’re building it. 

There’s a reason Fetch is ranked top 10 in Shopping in the App Store. Every day, millions of people earn Fetch Points buying brands they love. From the grocery aisle to the drive-through, Fetch makes saving money fun. We’re more than just a build-first tech unicorn. We’re a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party.

Join a fast-growing, founder-led technology company that’s still only in its early innings. Ranked one of America’s Best Startup Employers by Forbes two years in a row, Fetch is building a people-first culture rooted in trust and accountability. How do we do it? By empowering employees to think big, challenge ideas, and find new ways to bring the fun to Fetch. So what are you waiting for? Apply to join our rocketship today!

Fetch is an equal employment opportunity employer.

Role Overview:
As a Staff Machine Learning Engineer focusing on forecasting and optimization, you will design models to forecast offer performance and optimize offer structures. You will 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.

Responsibilities:

• Develop and implement machine learning models to forecast offer performance and predict key metrics such as redemption rates, user engagement, and sales uplift.
• Build optimization algorithms to help design offer structures that maximize both user value and business outcomes.
• Collaborate with business and product teams to identify optimization opportunities and create data-driven strategies for offer design.
• Analyze the effectiveness of current offers and make recommendations to improve future performance.
• Use experimentation and simulation techniques to validate forecast models and optimization strategies.
• Mentor and provide technical guidance to junior engineers and data scientists on the team.

Requirements:

• 7+ years of experience in machine learning, focusing on forecasting, optimization, or a similar 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, including linear programming, convex optimization, etc
• Experience working with large-scale data and building robust data pipelines.
• Excellent problem-solving skills and the ability to turn complex business requirements into technical solutions.

Nice to Have:

• Experience in retail, consumer goods, or loyalty programs.
• Familiarity with model calibration, causal inference, or reinforcement learning
• Experience working in fast-paced, agile tech environments.

Compensation: 

• At Fetch, we offer competitive compensation packages to the exceptional folks we hire. The base salary range is $100,000 - $220,000 based on experience. We also offer all employees equity in Fetch, so that everyone can benefit from Fetch’s growth.

At Fetch, we'll give you the tools to feel healthy, happy and secure through: 

• Equity
• 401k Match: Dollar-for-dollar match up to 4%.
• Benefits for humans and pets: We offer comprehensive medical, dental and vision plans for everyone including your pets.
• Continuing Education: Fetch provides ten thousand per year in education reimbursement.
• Employee Resource Groups: Take part in employee-led groups that are centered around fostering a diverse and inclusive workplace through events, dialogue and advocacy. The ERGs participate in our Inclusion Council with members of executive leadership.
• Paid Time Off: On top of our flexible PTO, Fetch observes 9 paid holidays, including Juneteenth and Indigenous People’s Day, as well as our 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: Employees who are welcoming new family members will also receive a one time $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!