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. As a Machine Learning Apprentice, you will 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.
You will work on solving challenging problems at the intersection of developing the 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.
If you are a connector at heart and love the challenge of breathing life into a product vision by building the predictive tools and models which will propel the experience for our users and insights for our partners to new heights– we’d love to hear from you!
In your Toolbox (Minimum Requirements):
- Solid foundation of fundamental or object oriented programming skills; we use a lot of Python in this problem space but proficiency in other languages is equally welcome.
- Experience building and/or training ML models using a Python Framework, such as PyTorch or TensorFlow, in a classroom setting or hands-on environment (e.g. prior work experience, side projects, research, or coding competitions)
- Experience deploying applications to a public cloud environment (e.g. AWS)
- Experience with test writing and quality assurance methodologies
- Passion for tackling challenging and ambiguous problems in a fast-paced environment
- Ability to effectively communicate across a variety of technical and nontechnical audiences
- Desire to grow your software engineering skills through collaboration, open communication, direct feedback and knowledge sharing
Bonus points:
- Statistical testing and analysis experience (e.g. A/B testing, experimental design); you understand the math behind what makes these models work
- Experience working with compilers such as ONNX, TensorRT, Triton, or CUDA
- Experience with search, ranking or ads
- Experience building fraud detection models
- Experience with model servers like TFServing/TorchServe/Triton
- Experience collaborating cross-functionally with backend and mobile engineers, devops engineers, data scientists, et al.
Program Eligibility:
- Ability to work full-time (40 hours per week) from either one of Fetch’s offices or remotely, in the United States, for a fixed term of 12-16 weeks.
- While a degree is not required for this position, the apprenticeship program is not intended for students who are actively enrolled in a full-time, degree-seeking program.
- Due to the short-term nature of this role, we are not able to transfer existing H1Bs or support new applications for the FY 2026 lottery.
Compensation:
Fetch software engineering apprenticeship roles pay $50/ hour. Please note: pay for this role is not negotiable.
