Staff Machine Learning Engineer (Forecasting & Optimization)

Meet Fetch Engineering: 

At Fetch, we are passionate about solving challenging problems and embracing ambiguity. Our engineering philosophy promotes adaptability and innovation over rigid adherence to rules. Our engineers thrive in complex environments, making well-informed decisions even in uncertain situations. We seek out the necessary information and focus on action and impact, while consistently upholding high technical standards. In this role, you will be a technical leader, shaping best practices to build world-class, user-facing technology. You will mentor fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team.

About the Role:

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.

This is a full-time role that can be held from one of our US offices or remotely in the United States.

What you’ll do at Fetch (Role 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.

In your Toolbox (Minimum 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.

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

• Equity: We also offer employees equity in Fetch, so that everyone can benefit from Fetch’s growth.
• 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!
• Flexible Work Environment: Collaborate with your team in one of our stunning offices in Madison, Birmingham, or Chicago. Or you can work fully remotely from anywhere in the US. We’ll ensure you are equally equipped with the hardware and software you need to get your job done in the comfort of your home.