Staff Machine Learning Engineer (Forecasting & Optimization)

America's Rewards App, empowering consumers to live rewarded throughout their day
United States
Machine Learning
Staff Software Engineer
Remote
7+ years of experience
AI · Consumer

Description For Staff Machine Learning Engineer (Forecasting & Optimization)

Every month, millions of people use America's Rewards App, earning rewards for buying brands they love – and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we've delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users.

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.

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. You will develop and implement machine learning models, build optimization algorithms, collaborate with business and product teams, analyze offer effectiveness, use experimentation techniques, and mentor junior engineers and data scientists.

At Fetch, we offer comprehensive benefits including equity, 401k match, health insurance (including for pets), education reimbursement, employee resource groups, flexible PTO, paid holidays, parental leave, and a flexible work environment. Join us in reshaping how brands and consumers connect in the marketplace!

Last updated 2 months ago

Responsibilities For Staff Machine Learning Engineer (Forecasting & Optimization)

  • 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 For Staff Machine Learning Engineer (Forecasting & Optimization)

Python
  • 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

Benefits For Staff Machine Learning Engineer (Forecasting & Optimization)

401k
Dental Insurance
Education Budget
Equity
Medical Insurance
Parental Leave
Vision Insurance
  • Equity in Fetch
  • 401k Match: Dollar-for-dollar match up to 4%
  • Comprehensive medical, dental and vision plans for employees and pets
  • Education reimbursement: $10,000 per year
  • Employee Resource Groups
  • Flexible PTO
  • 9 paid holidays, including Juneteenth and Indigenous People's Day
  • Year-end week-long break
  • 20 weeks of paid parental leave for primary caregivers, 14 weeks for secondary caregivers
  • Flexible return to work schedule
  • Calvin Care Cash: $2,000 incentive for new family members
  • Flexible Work Environment: Office or remote options

Interested in this job?

Jobs Related To Fetch Staff Machine Learning Engineer (Forecasting & Optimization)

Staff Machine Learning Engineer

Staff Machine Learning Engineer at Fetch, focusing on forecasting and optimization for America's leading rewards app.

Staff Machine Learning Engineer (Forecasting & Optimization)

Join Fetch as a Staff Machine Learning Engineer, focusing on forecasting and optimization to revolutionize the shopping experience and drive brand partnerships.

AIML - Senior Data Science Manager, AIML Data

Senior Data Science Manager position at Apple focusing on AIML Data, leading evaluation and analytics for products like Siri and Search.

AIML - Sr Engineering Program Manager, NLU Evaluation

Senior Engineering Program Manager position at Apple, leading NLU technology development for products like Siri, requiring 6+ years of ML product experience.

Senior Engineering Manager, Incubation Team

Lead Apple's ISE Incubation team in Seattle, driving innovation in ML and user experience, managing diverse technical teams, and shaping next-generation products.