What are the responsibilities and job description for the Staff Machine Learning Engineer (Search) position at Fetch Rewards?
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, 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. In this role, you will be a technical leader, shaping best practices to build world-class, user-facing technology. You will mentor fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team.
About the Role :
As a Staff Machine Learning Engineer specializing in Search, you will design, build, and implement NLP-based systems that have a direct impact on the user experience. ML-based search models are used at Fetch to improve our ability to understand receipt data as well as power in-app search. When our search models get better, users get more points and Fetch earns more revenue!
Beyond technical implementation, you'll serve as a “tech lead of tech leads”, which will put you in a position to influence the direction of multiple ML projects within this domain. Your skills and experience will level up the people around you and inform the vision of the Machine Learning team as Fetch deepens its investment into ML.
This is a full-time role that can be held from one of our US offices or remotely in the United States.
In your Toolbox (Minimum Requirements) :
- 7 years of hands-on experience in building NLP and information retrieval systems for commercial applications
- 2 years experience leading technical initiatives that span multiple teams
- Demonstrated experience in building and deploying high-performance ML systems with specific attention to latency and throughput requirements
- Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
- Experience with large datasets, data pipelines, and deploying ML models to production environments.
- Deep understanding of both traditional and vector-based search algorithms (from TF-IDF to HNSW and everything in between)
- Excellent communication skills and the ability to translate technical concepts into business impact.
- Ability to implement online / offline evaluation strategies to compare iterations of models.
Bonus Points :
At Fetch, we'll give you the tools to feel healthy, happy and secure through :
