America's Rewards App, empowering consumers to earn rewards for buying brands they love across various activities.

Fetch, America's Rewards App, is seeking a Staff Machine Learning Engineer focusing on forecasting and optimization. This role involves designing models to forecast offer performance and optimize offer structures using cutting-edge machine learning techniques. The successful candidate will have a direct impact on how Fetch partners with brands to drive ROI.

Key responsibilities include:
- Developing ML models for forecasting offer performance and predicting key metrics
- Building optimization algorithms for offer structures
- Collaborating with business and product teams
- Analyzing offer effectiveness and making improvement recommendations
- Using experimentation and simulation techniques
- Mentoring junior engineers and data scientists

Requirements:
- 7+ years of experience in machine learning, focusing on forecasting or optimization
- Expertise in time-series forecasting, predictive analytics, and optimization techniques
- Strong programming skills in Python, R, or similar languages
- Experience with large-scale data and robust data pipelines
- Excellent problem-solving skills

Fetch offers a competitive benefits package, including equity, 401k match, comprehensive health benefits, continuing education support, flexible PTO, and a inclusive work environment. The company has been ranked as one of America's Best Startup Employers by Forbes for two consecutive years.

This full-time role can be held from one of Fetch's US offices or remotely within the United States, offering flexibility to the right candidate.

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

Staff Machine Learning Engineer

America's Rewards App, empowering consumers to live rewarded throughout their day

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!

Staff Machine Learning Engineer role at Fetch, focusing on forecasting and optimization to improve offer performance and drive ROI

Staff Machine Learning Engineer (Forecasting & Optimization)

America's Rewards App, empowering consumers to live rewarded throughout their day by earning rewards for buying brands they love.

As an Analytics Engineering intern at Fetch, you'll build systems to model data from multiple sources, enabling stakeholders to answer questions on an ongoing basis. You'll work in a small, multi-functional team, tackling challenging problems and developing solutions with mentorship from experienced team members. Your role involves building tools for major brands to understand their customers and reimagine the shopping experience.

Key responsibilities:
- Consolidate multiple data sources
- Design and develop data modeling systems
- Enable internal and external stakeholders to access insights
- Work on projects that impact millions of users

Required skills:
- Solid SQL skills and understanding of relational and non-relational databases
- Experience with Python
- Problem-solving ability, especially in combining multiple data sources
- Creative approach to tackling ambiguous problems
- Effective communication across technical and non-technical audiences
- Desire to grow through collaboration and feedback

Preferred experience:
- Data processing and understanding of ETL vs ELT
- Familiarity with data warehouses (e.g., AWS, Azure, Snowflake) and visualization tools (e.g., Tableau, Grafana)

Bonus skills:
- Experience with Data Build Tool (DBT), Airflow, AWS infrastructure, Terraform
- Exposure to data modeling, data governance, and data quality tools

The internship offers:
- 1:1 mentoring with experienced engineers
- Work on impactful projects
- Collaborative, cross-functional team environment
- Professional development and networking opportunities

This is a paid internship ($40/hour) running from May 19, 2025 to August 8, 2025, with options for remote work or office locations in Birmingham, AL or Madison, WI.

Analytics Engineer Internship at Fetch, building data modeling systems for America's Rewards App. Paid opportunity for Master's students in computer science or related fields.

Analytics Engineer Internship

America's Rewards App, empowering consumers to earn rewards for buying brands they love and more.

At Fetch, we are building America's Rewards App, empowering millions of users to earn rewards for buying brands they love. As a Staff iOS Software Engineer, you'll play a crucial role in developing and maintaining our world-class mobile application. You'll work on a small, multi-functional team, tackling challenging problems and designing user-centric solutions.

Key responsibilities include:
- Leading by example and mentoring other iOS engineers
- Constructing architecture and common components for scalability and maintainability
- Profiling and debugging both logic and performance issues
- Updating a large codebase with enhanced architecture and components
- Working on green field projects with limited input
- Collaborating in cross-functional team settings

Required skills and experience:
- Swift and SwiftUI expertise
- Concurrency and unit testing proficiency
- Mobile architecture principles
- REST API integration
- Debugging skills

We offer a comprehensive benefits package, including:
- Equity in Fetch
- 401k match up to 4%
- Comprehensive medical, dental, and vision plans (including for pets)
- $10,000 annual education reimbursement
- Flexible PTO and 9 paid holidays
- 20 weeks paid parental leave for primary caregivers
- Flexible work environment (remote or in-office options)

Join Fetch and be part of a team reshaping how brands and consumers connect in the marketplace. We foster a people-first culture rooted in trust, accountability, and innovation, encouraging our employees to challenge ideas and think bigger.

Staff iOS Software Engineer at Fetch: Lead and develop world-class mobile applications for America's Rewards App, empowering millions to earn rewards for brand purchases.

Staff iOS Software Engineer

Fetch is America's Rewards App, allowing millions of users to earn rewards for buying brands they love, whether shopping, grabbing a bite, or playing mobile games.

Fetch, America's Rewards App, is seeking an Analytics Engineer to join our team. As an Analytics Engineer at Fetch, you'll play a crucial role in our data-driven platform that has delivered over $1 billion in rewards to millions of users.

Your responsibilities will include:
- Modeling and analyzing data using SQL best practices for OLAP/OLTP query and database performance
- Leveraging tools like Data Build Tool (DBT), Snowflake, Airflow, and AWS infrastructure
- Generating innovative approaches to datasets with millions of daily active users
- Translating business requirements into data models for near-real-time actionable insights
- Communicating findings to a broad range of stakeholders
- Managing administrative duties for Snowflake, Tableau, and DBT/Airflow infrastructure
- Testing, monitoring, and reporting on data health and quality
- Leading data documentation and discovery initiatives

The ideal candidate will have:
- Proficiency in SQL and understanding of performance optimization
- Experience with data modeling and orchestration tools
- Familiarity with various data stores (e.g., Snowflake, MongoDB, S3, HDFS, Postgres)
- Understanding of ETL/ELT processes, data warehouses, and BI tools
- Strong communication skills and ability to work autonomously
- Experience with DBT or Airflow in production environments
- Knowledge of cloud resources deployment (AWS, Azure, or GCP)
- Proficiency in at least one imperative programming language (e.g., Python)

At Fetch, we offer competitive compensation and benefits, including equity for everyone, 401k match, comprehensive health coverage, continuing education support, flexible PTO, and a hybrid work environment. Join us in reshaping how brands and consumers connect in the marketplace!

Fetch seeks an Analytics Engineer to model data, leverage tools like DBT and Snowflake, and drive insights for millions of users in America's leading rewards app.

Analytics Engineer

Fetch is a revolutionary shopping platform where brands and consumers come together for a loyalty-driving, points-exploding, money-saving party.

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.

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

Fetch is seeking an iOS Software Engineer to build and maintain a world-class mobile application that works directly with our backend services and external partners. As a top 10 ranked app in Shopping in the App Store, Fetch allows millions of people to earn points by buying brands they love. 

The ideal candidate will have a high dedication to innovation, solving new problems or old problems in novel ways. You'll work on a small, multi-functional team, contributing to engineering architecture discussions and product planning meetings. Your responsibilities will include architecting and building new features, extending and maintaining the existing codebase, and optimizing app performance.

Key qualifications include:
- Expertise in Swift, SwiftUI, and iOS development
- Strong understanding of mobile architecture principles and concurrency
- Experience with networking, specifically using REST APIs from mobile
- Proficiency in debugging and unit testing
- Ability to translate technical issues to non-technical team members

Fetch offers a comprehensive benefits package, including equity for everyone, 401k match, health insurance (including for pets), continuing education reimbursement, flexible PTO, and a hybrid work environment. Join a fast-growing, founder-led technology company ranked as one of America's Best Startup Employers by Forbes two years in a row.

If you're passionate about iOS development, staying up-to-date with the latest trends, and want to be part of a revolutionary shopping platform, apply to join our rocketship today!

Fetch Engineering Jobs

America's Rewards App, empowering consumers to earn rewards for buying brands they love across various activities.