Demo

Senior Machine Learning Engineer

Fetch Rewards
Chicago, IL Remote Full Time
POSTED ON 4/8/2025
AVAILABLE BEFORE 5/7/2025

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.

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.

Meet Fetch Engineering :

At Fetch, our engineering philosophy emphasizes innovation, adaptability, and informed decision-making. Our engineers thrive in complex environments, making decisions based on critical thinking and data, even in uncertain situations. We value proactive problem-solving and focus on driving impactful results while maintaining high technical standards. You will work alongside talented engineers who are dedicated to pushing the boundaries of technology and encouraging each other to excel. We understand that Fetch may not be the right fit for everyone, but if you're passionate about solving challenging problems and navigating intricate systems, Fetch could be a great place for you.

About the Role :

The ML Engineering team embodies these values and works to enable intelligent systems for end users, internal stakeholders, and external partners. We are looking for a Senior Machine Learning Engineer to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML / AI to power receipt understanding (digital and physical), fraud detection, and we’re rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.

Your focus will be on the intersection of developing ML models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling / collection / management, model development, and deploying to large scale production settings. We work closely with backend, devops and data engineers on focused teams. You’ll be expected to create value in a fast moving environment and that might mean at any given moment deep diving into one of these stages of the pipeline

Do you get excited about both training and deploying ML models? Do you like translating business problems into ML applications? Have you ever been responsible for quickly iterating on a model’s accuracy or latency? If you answered yes to these questions we’d love to hear from you.

In your Toolbox (Minimum Requirements) :

  • Excellent programming skills (we use a lot of Python in this problem space but proficiency in other languages are equally welcome)
  • Experience training ML models using a Python framework like Pytorch, TensorFlow, etc.
  • Experience deploying a model in a production environment with significant traffic. We process 100s of events per second in our production pipelines
  • Experience deploying applications in public cloud environments like AWS etc.
  • Strong understanding of the math that makes ML models work

Bonus Points For :

  • Excellent written and verbal communication skills
  • Ability to problem solve independently and demonstrate initiative
  • Experience with model servers like TFServing / TorchServe / Triton
  • Experience with ONNX, TensorRT, CUDA, OpenAI Triton
  • Experience with search, ranking or ads
  • Statistics experience, including experiment design, A / B testing, and causal inference
  • Experience building fraud detection models
  • Experience with NLP tasks like fine-tuning LLMs, RLHF, prompting, and semantic search
  • At Fetch, we'll give you the tools to feel healthy, happy and secure through :

  • Equity : We also 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.
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