America's Rewards App that allows users to earn rewards for buying brands they love, with over $1 billion in rewards delivered and 5M+ five-star reviews.

Fetch, America's leading rewards app backed by major investors like SoftBank, is seeking a Staff Machine Learning Engineer to lead their search initiatives. This role combines technical excellence in NLP and search systems with leadership responsibilities, making it perfect for those who want to impact millions of users while mentoring teams.

The position offers a unique opportunity to work on ML-based search models that directly affect user experience and company revenue. You'll be implementing NLP-based systems, working with large datasets, and deploying high-performance ML models to production. As a "tech lead of tech leads," you'll shape multiple ML projects and influence the team's technical direction.

The role requires 7+ years of hands-on experience with NLP and information retrieval systems, plus 2+ years leading technical initiatives across teams. You'll need expertise in Python and ML frameworks, along with deep knowledge of search algorithms from TF-IDF to HNSW.

Fetch offers an outstanding benefits package including equity, comprehensive healthcare (including pet insurance), education budget, flexible PTO, and generous parental leave. The company's culture promotes innovation and work-life balance, with the flexibility to work remotely or from offices in Madison, Birmingham, or Chicago.

Join a Forbes-recognized startup employer that has delivered over $1 billion in rewards and earned 5M+ five-star reviews. You'll be part of a team that values technical excellence, mentorship, and direct impact on both user experience and business success.

Lead ML engineering role focusing on NLP-based search systems at Fetch, America's top rewards app, offering remote work and comprehensive benefits.

Staff Machine Learning Engineer - Search

America's Rewards App helping millions earn rewards for buying brands they love, delivering over $1 billion in rewards with 5M+ five-star reviews.

Fetch, America's leading rewards platform, is seeking a Senior Analytics Engineer to join their innovative team. The role combines technical expertise with business impact, working with data systems that serve millions of daily active users.

As a Senior Analytics Engineer, you'll be instrumental in building systems that model data from multiple sources, enabling both internal and external stakeholders to derive valuable insights. You'll work with cutting-edge technologies including Snowflake, DBT, Airflow, and AWS infrastructure, handling terabytes of data while maintaining high performance and quality standards.

The position offers an exciting opportunity to impact how some of the world's largest brands understand and connect with their customers. You'll be part of a company that has delivered over $1 billion in rewards and earned more than 5 million five-star reviews, backed by major investors like SoftBank and Univision.

Fetch offers an exceptional work environment, recognized by Forbes as one of America's Best Startup Employers. The company provides comprehensive benefits including equity for all employees, generous parental leave, education reimbursement, and a flexible work environment. The culture emphasizes trust, accountability, and innovation, encouraging employees to think bigger and bring creativity to their work.

This role is perfect for someone who excels at solving complex data problems, has strong SQL expertise, and can effectively communicate technical concepts to diverse stakeholders. You'll be joining a company that's transforming the retail rewards space while maintaining a strong commitment to both user success and employee well-being.

Senior Analytics Engineer role at Fetch, building data modeling systems and analytics solutions for a leading rewards platform serving millions of users.

Senior Analytics Engineer

America's Rewards App that enables consumers to earn rewards for buying brands they love, with over $1 billion in rewards delivered and 5M+ five-star reviews.

Fetch, America's leading rewards app backed by major investors like SoftBank, is seeking a Solution Engineer to transform how brands and consumers connect in the marketplace. This role involves working with data partners to design and implement efficient, scalable data pipeline solutions that power insights for some of the world's largest brands. You'll be part of a dynamic environment that has delivered over $1 billion in rewards and earned 5M+ five-star reviews.

As a Solution Engineer, you'll collaborate with cross-functional teams to assess requirements, design data pipelines, and implement solutions that handle millions of daily active users. The role requires expertise in SQL, data modeling, and modern data management techniques, working with technologies like Snowflake, Airflow, and AWS infrastructure.

The position offers a blend of technical challenges and business impact, requiring someone who can translate complex requirements into practical solutions while maintaining strong communication with both technical and non-technical stakeholders. You'll play a crucial role in shaping how brands understand and reach their customers through data-driven insights.

Fetch offers an outstanding benefits package including equity, comprehensive healthcare (including pet insurance), generous parental leave, and a strong commitment to work-life balance. The company's culture emphasizes trust, innovation, and putting people first, as recognized by Forbes naming it one of America's Best Startup Employers for two consecutive years.

This opportunity is perfect for a data professional who wants to make a significant impact at a rapidly growing company while working with cutting-edge technologies and enjoying excellent benefits and career growth opportunities.

Solution Engineer role at Fetch focusing on data pipeline development and optimization, working with major brands to deliver customer insights through advanced data management.

Solution Engineer

America's Rewards App that enables consumers to earn rewards for buying brands, delivering over $1 billion in rewards with 5M+ five-star reviews.

Fetch, America's leading rewards platform, is seeking an Analytics Engineering intern to join their innovative team. With over $1 billion in rewards delivered and 5M+ five-star reviews, Fetch has established itself as a major player in the consumer rewards space, backed by notable investors like SoftBank and Univision.

As an Analytics Engineering intern, you'll be at the forefront of building sophisticated data modeling systems that power insights for some of the world's largest brands. This isn't your typical internship – you'll be working on meaningful projects that directly impact millions of users, with the potential to push production code in your first week.

The role offers a unique blend of technical challenges and professional growth. You'll work with Python and SQL to build data systems that consolidate multiple sources and enable stakeholders to access insights efficiently. The position requires strong technical fundamentals, including experience with data warehouses and visualization tools, combined with creative problem-solving abilities.

What sets this opportunity apart is the comprehensive support system. You'll receive 1:1 mentoring from experienced engineers, work in small, cross-functional teams, and have access to senior leadership. The internship runs from May to August 2025, offering competitive compensation at $40/hour.

Fetch's culture is built on trust, accountability, and innovation, recognized by Forbes as one of America's Best Startup Employers. They're looking for candidates who are passionate about data, eager to learn, and ready to contribute to a platform that's reshaping how brands and consumers connect in the marketplace.

This is an ideal opportunity for Master's students in computer science, data science, or related fields who want to gain hands-on experience in a fast-paced, innovative environment while working on projects that have real-world impact. Join Fetch in their mission to transform the shopping experience and help consumers Live Rewarded through the power of Fetch Points!

Analytics Engineering internship at Fetch, building data modeling systems and tools for America's leading rewards platform.

Analytics Engineering Intern

America's Rewards App helping millions earn rewards for buying brands they love, with over $1 billion in rewards delivered and 5 million five-star reviews.

Fetch, America's leading rewards platform, is seeking a Senior Machine Learning Engineer to join their innovative ML Engineering team. The company has delivered over $1 billion in rewards and earned 5 million five-star reviews, backed by major investors like SoftBank and Univision. 

The role focuses on developing and scaling ML models for receipt understanding, fraud detection, ads ranking, recommendation, search, and discovery. You'll be responsible for the complete ML lifecycle, from data management to production deployment, processing hundreds of events per second. The ideal candidate should excel in both model training and deployment, with strong Python skills and experience with frameworks like PyTorch and TensorFlow.

Working at Fetch means joining a Forbes-recognized Best Startup Employer with a people-first culture. The company offers comprehensive benefits including equity, 401k matching, healthcare coverage, generous parental leave, and flexible work arrangements. You'll collaborate with talented engineers either remotely or from offices in Madison, Birmingham, or Chicago.

This is an excellent opportunity for an experienced ML engineer who enjoys solving complex problems, working with large-scale systems, and making data-driven decisions. The role combines technical expertise with business impact, as ML is core to Fetch's product and future growth. Join a team that's reshaping how brands and consumers connect while working on cutting-edge ML applications.

Senior Machine Learning Engineer role at Fetch, developing and scaling ML models for receipt understanding, fraud detection, and recommendation systems.

Senior Machine Learning Engineer

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 that allows users to earn rewards for buying brands they love, with over $1 billion in rewards delivered and 5M+ five-star reviews.