Machine Learning Engineer, Fetch
Apprentice
Fetch software engineering apprenticeship roles pay $50/ hour. Please note: pay for this role is not negotiable.
More information about location
1-2 days a week in office
Mobile shopping and rewards platform
Job no longer available
Mobile shopping and rewards platform
1001+ employees
Job no longer available
Fetch software engineering apprenticeship roles pay $50/ hour. Please note: pay for this role is not negotiable.
More information about location
1-2 days a week in office
1001+ employees
Company mission
To empower consumers to live rewarded and help brands create lifelong customers through the power of Fetch Points.
Role
Who you are
- 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
- 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
Desirable
- 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
What the job involves
- 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
Our take
Leading mobile shopping and loyalty platform Fetch has seen explosive success in recent years. Its concept is simple: users receive spendable points in exchange for scans of their shopping receipts.
The app has tens of millions of daily active users with even more downloads, and has seen impressive growth, having now reached 'unicorn' status twice over. This should come as no surprise. Brand reinforcement is crucial to customer retention and acquisition - but it is harder than ever, with the fragmentation of choice on the market and the declining efficacy of marketing. So material loyalty benefits are likely to prove a crucial tool in creating and leveraging a strong customer base.
Whilst Fetch faces competition from similar receipt-scan rewards platforms like ReceiptPal and Ibotta, it grew into a profitable company in late 2023. And its using its most recent Morgan Stanley-backed funding to aggressively add brand partners at a competitive pace and onboard staff at a level that promises strong continued growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Apr 2022
$120m
SERIES E
Mar 2021
$210m
SERIES D
Total funding: $456.6m
Company benefits
- Equity: Hop on the rocketship and have your own stake in Fetch's success with generous equity.
- 401k Match: Fetch matches 100% of the first 4% of your 401(k) contribution.
- People Benefits: Enjoy a competitive suite of ebenfits to promote health for you and your family,. Medical, Dental, and Vision insurance. Flexible Spending Accounts & Health Savings Account, with automatic employer HSA contributions per pay period. Family forming benefit with $10k lifetime stipend.
- Pet Benefits: We know your furry friends are family, too. Pet insurance is fully covered for your first pet.
- Continuing Education: Fetch provides $10,000+/year in education reimbursement support for job-related courses or programs.
- Flexible Paid Time Off: At Fetch, you'll plan your time off as you see fit with our flexible PTO policy. On top of our flexible PTO, Fetch observes 9 paid holidays as well as a year-end-week-long break.
- Robust Leave Policies: Fetch offers generous leave time for health and personal needs, including 20 weeks of parental leave for primary caregivers and 14 weeks for secondary caregivers + $2,000 incentive to assist employees with covering the cost of childcare, clothing, diapers and much more!
- Flexible Work Environment: Experience our beautiful work spaces, or get things done from the comfort of your couch. Choose what's best for each day.
Leadership
Wes Schroll
(Co-Founder & CEO)Co-founded Fetch while an undergrad at UW-Madison and grew the company into the nation's No. 1 rewards app, connecting millions of consumers with their favorite brands.
Tyler Kennedy
(Co-Founder & SVP of Operations)Studied Business Administration at the University of Wisconsin-Madison. Founded his first company, Baker's Marine Services, a yacht detailing company, when they were only fourteen.
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