Find Fetch Staff Software Engineer software engineering jobs

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 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 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 Staff Software Engineer Software Engineering Jobs

Find Fetch Staff Software Engineer software engineering jobs