Software Engineer - Machine Learning at Fetch

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Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Java, Go, Microservices, Data Pipelines, AWS, Flink, Event-Driven Architecture, AI-Assisted Development, Fraud Detection, Automation, Large Language Models, Cross-Functional Collaboration, Software Engineering, Debugging, Problem-Solving

Industry

technology;Information and Internet

Description

What we’re building and why we’re building it. 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. It’s not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools — especially AI — to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next — with us. Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer. About the Role: We are seeking a Machine Learning Software Engineer to join our Fraud team at Fetch. This role sits at the intersection of infrastructure, data engineering, and applied machine learning, with a focus on automating workflows that protect a $300M+ revenue stream. You will partner closely with billing, manual operations, and backend services teams to deliver scalable ML-driven solutions, including microservices, LLM-based workflows, and data pipelines. This is a high-impact opportunity to shape the foundation of Fetch’s machine learning practice and unlock automation at scale. Role Responsibilities: Develop scalable backend services and microservices in Java or Go to support ML-driven orchestration. Build and optimize data pipelines and infrastructure to support event-driven, async, and long-running ML processes. Partner with engineering teams to automate workflows, integrate models, and ensure revenue protection. Educate internal stakeholders on ML-driven decision-making and create transparent, traceable systems for fraud management. Drive automation and orchestration of workflows across fraud, billing, and manual operations teams. Leverage AI-assisted development tools (e.g., GitHub Copilot, ChatGPT) to accelerate prototyping, code generation, debugging, and documentation. Evaluate and integrate AI-powered solutions into workflows to improve productivity, model experimentation, and system efficiency. Collaborate within a small cross-functional team (PM, ML Engineer, BE Engineer) while contributing to the larger AI & Data org. Champion best practices in software engineering, code quality, testing, and deployment of ML/LLM solutions. Design, build, and deploy machine learning models and large language model (LLM) applications in production environments. Strong collaboration and communication skills, with the ability to explain technical concepts to diverse stakeholders. Minimum Requirements: 2+ years experience in software engineering, with production-level coding experience. Proficiency in Java or Go, with a strong background in microservices and coupled architectures. Exposure to machine learning workflows or large language models (LLMs) is a plus, but not required. Experience with AWS technologies and distributed systems. Working knowledge of Flink or equivalent data/stream processing frameworks. Solid understanding of event-driven and async architectures, including long-running processes. Strong engineering mindset with the ability to deliver reliable, maintainable, and scalable systems. Experience with AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve development efficiency and code quality. Ability to critically evaluate AI-generated outputs, with strong debugging and problem-solving skills to validate correctness. Preferred Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Equivalent practical experience considered in lieu of degree. Experience with machine learning workflows and large language models (LLMs). Background in fraud detection, automation, or systems designed for revenue protection. Familiarity with orchestrating ML actions in high-complexity environments. Previous experience working in small, fast-moving, cross-functional teams. This is a full-time role that can be held from one of our US offices or remotely in the United States. At Fetch, we'll give you the tools to feel healthy, happy and secure through: Equity: We 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. Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential. Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com. Learn more: Fetch Recruitment Scam Warning.

Responsibilities

Develop scalable backend services and microservices to support ML-driven orchestration. Drive automation and orchestration of workflows across fraud, billing, and manual operations teams.