---
title: 'Senior Machine Learning Engineer II at Fetch'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-ii-fetch-canada-p5a6njkatfrs'
type: 'job'
last_seen: '2026-10-19'
---

# Senior Machine Learning Engineer II at Fetch

- **Company:** Fetch
- **Location:** Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-10-15
- **Last confirmed live:** 2026-10-19
- **Apply:** https://jobs.gem.com/fetch/am9icG9zdDpH79wBn9a_MixExf32EWBN

## Job description

About the Role: Fetch is building the future of personalized consumer experiences. We’re looking for a Senior Machine Learning Engineer to serve as the technical lead for a high-impact ML team focused on personalization, relevance, and ranking.

In this role, you will own the technical direction and execution for your team’s ML systems - driving high-quality architecture, guiding implementation, and ensuring models and infrastructure operate reliably at scale. You’ll partner closely with product and cross-functional stakeholders while remaining deeply hands-on in design and development.

## Role Responsibilities

- Serve as the technical lead for a single ML-focused team, setting direction and raising the bar on engineering quality and system design.
- Design, build, and scale ML systems supporting personalization, ranking, search, or ad-related use cases.
- Own end-to-end architecture for your team’s services, including model training, evaluation, deployment, and serving.
- Drive clarity in ambiguous problem spaces, translating product needs into scalable technical solutions.
- Lead design reviews and ensure thoughtful tradeoffs around latency, reliability, experimentation, and maintainability.
- Partner closely with product, data, and engineering stakeholders to deliver measurable business impact.
- Mentor engineers through hands-on technical guidance, feedback, and example.
- Use AI tools to accelerate development and improve system design, including:- Prototyping and validating ideas with LLM tools.
- Leveraging AI for code iteration and experimentation.
- Using AI assistants for architecture diagramming and design validation.
- Exploring LLM-powered features where appropriate.

## Minimum Requirements

- 6+ years of industry experience in machine learning or software engineering, with demonstrated ownership of production ML systems operating at scale.
- Proven experience building and scaling ML systems in personalization, relevance, search, or ad tech domains.
- Strong hands-on expertise in distributed systems, data pipelines, and ML infrastructure.
- Experience deploying ML models into production and operating them at consumer scale.
- Demonstrated ownership of complex technical initiatives within a team.
- Strong systems design skills with the ability to clearly articulate tradeoffs and implementation decisions.
- Experience mentoring engineers and influencing technical standards within a team.
- Ability to operate effectively in ambiguous environments and drive projects to completion.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.

## Preferred Requirements

- Familiarity with LLMs and their application in personalization, feature generation, or search.
- Experience with real-time or streaming ML systems.
- Exposure to experimentation frameworks (A/B testing) and model performance measurement.
- Experience bridging model development with real-time serving systems.

This is a full-time role that can be held from one of our US offices or remotely in the United States or any Canadian province (excluding Quebec), subject to appropriate work authorization.  Canadian employment, if applicable, would be through Fetch’s Canadian Employer of Record.

Benefits for Canada-based employees may differ slightly to comply with applicable law(s) (e.g., paid time off, Holidays, etc.).

Fetch may use technology tools that incorporate artificial intelligence ("AI") capabilities to support certain activities within our recruiting and hiring process:

- Reviewing and organizing applications and resumes to help our recruiting team manage high volumes of submissions, including automated review of fraud signals to identify bad actors;
- Identifying candidates whose stated qualifications and experience appear relevant to an open position;
- Scheduling and coordinating interviews with candidates;
- Generating interview summaries or notes to assist recruiters and hiring managers in their review; and
- Conducting research on open roles and candidate pools to improve the effectiveness of our recruiting practices.

Fetch does not use AI tools to make hiring decisions. All decisions regarding whether to advance a candidate, extend an offer, or decline an application are made by Fetch employees, who are predominantly members of our Talent Acquisition team and relevant Hiring Managers. AI tools serve only to assist the process of recruiting talent and to inform the human review of candidate information. In no way does Fetch allow AI systems to make, finalize, or override any employment decision

## About Fetch

## Company Overview
- **One-liner**: Fetch is a rewards app and outcomes-based advertising platform that gives users points for everyday shopping, dining, and gaming activities, redeemable for gift cards and other rewards.
- **Entity Type**: Private (Series E)
- **Headquarters**: Madison, Wisconsin, United States
- **Founded**: 2013
- **Founders**: Wes Schroll

## Core Business
- **Primary industry/industries**: Consumer rewards, digital advertising, mobile apps, data analytics
- **Target customers**: B2C (consumers via the Fetch app) and B2B (brands and retailers via its outcomes-based advertising platform)
- **Mission or purpose statement**: To create the rewards destination for everyone, turning everyday moments into opportunities for consumers to earn something back while helping brands acquire and retain lifelong consumers.

## Products & Services
- **Fetch Rewards App (Consumer)**: A mobile app that awards users "Fetch Points" for submitting receipts from any retailer, as well as for dining out, playing games, and other daily activities. Points can be redeemed for free gift cards to popular retailers, restaurants, and charities. The app personalizes offers and becomes more rewarding the more it's used.
- **Fetch for Business (Advertising Platform)**: An outcomes-based advertising platform that gives brands SKU-level visibility into over $212 billion in annual gross merchandise value. It helps brands target shoppers with purchase-based offers, drive incremental sales, and build lasting brand loyalty through a non-disruptive, reward-based ad model.

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed (private company)
- **Key Metric**: Over $855.3 million in total funding across 13 rounds; annual revenue estimated at $102 million [linkedin.com](https://linkedin.com/company/fetch-rewards)
- **Notable Investors/Partners**: Not explicitly listed in search results, but the company has raised significant capital (Series E stage) from venture capital firms.
- **Growth Signals**: Employs 792 people (with a -5.6% YoY change) [linkedin.com](https://linkedin.com/company/fetch-rewards); processes over 13 million receipts daily; has visibility into $212 billion in annual GMV; named one of America’s Best Startup Employers by Forbes for two consecutive years [fetch.com](https://fetch.com/careers/jobs); has offices or coworking spaces in Madison, Chicago, Birmingham, Boston, New York, and Mexico City.

## Competitive Advantages
- **Massive, proprietary data set**: Fetch possesses the largest retail-agnostic, SKU-level view of household spending, giving it unique consumer insights that power its advertising platform.
- **Mutually beneficial model**: Unlike disruptive ads, Fetch’s model creates a win-win where consumers get rewards and brands get measurable, outcomes-based results.
- **Scale and adoption**: With millions of active users and over 13 million receipts submitted daily, Fetch has a large, engaged user base that is difficult for competitors to replicate.
- **Third-party validated measurement**: The platform’s effectiveness is rigorously measured and validated by industry-leading third parties, building trust with brand partners.

## Strategic Focus
- **Continued platform expansion**: The company is focused on growing its rewards ecosystem beyond just receipt scanning, including dining, gaming, and other daily moments.
- **Deepening advertising capabilities**: Fetch is investing in its outcomes-based ad platform to help brands acquire and retain consumers more effectively.
- **AI and data science**: The company is actively hiring for roles like Staff Product Designer, AI Labs and Senior Data Scientist, indicating a focus on leveraging AI to enhance personalization and product innovation [fetch.com](https://fetch.com/careers/jobs).
- **International and talent growth**: With offices in Mexico City and remote roles, Fetch is expanding its geographic footprint and talent base.

## Why Work Here
- **Culture and recognition**: Ranked as one of America’s Best Startup Employers by Forbes for two years in a row, with a people-first culture rooted in trust, accountability, and innovation [fetch.com](https://fetch.com/careers/jobs).
- **Generous compensation and benefits**:
    - **Equity**: All employees receive Restricted Stock Units (RSUs), giving them a stake in the company’s success [fetch.com](https://fetch.com/careers/faq).
    - **401(k)**: 100% match on the first 4% of contributions [fetch.com](https://fetch.com/careers).
    - **Parental Leave**: 20 weeks for primary caregivers, 14 weeks for secondary caregivers, plus a $2,000 stipend [fetch.com](https://fetch.com/careers).
    - **Education**: $10,000+ per year in education reimbursement for job-related courses or programs [fetch.com](https://fetch.com/careers).
    - **Family Planning**: Support for egg retrieval, adoption, IVF, and surrogacy through partner Carrot, with a $10k lifetime stipend [fetch.com](https://fetch.com/careers).
    - **Health & Wellness**: Medical, Dental, Vision (with perks like teeth whitening and laser eye surgery discounts), HSA with employer contributions, wellness coach, nutrition counseling, and Gympass membership [fetch.com](https://fetch.com/careers/faq).
    - **Time Off**: Flexible PTO, 9 paid holidays, plus a year-end week-long break [fetch.com](https://fetch.com/careers).
    - **Pet Insurance**: Fully covered for the first pet, and bereavement leave includes furry family members [fetch.com](https://fetch.com/careers/faq).
- **Flexible work environment**: Most roles offer a "Remote Flexible Environment," with offices in Madison, Chicago, Birmingham, Boston, New York, and Mexico City for in-person collaboration [fetch.com](https://fetch.com/careers/faq).
- **Early career programs**: Offers a 12-week Tech Internship and a 12-week Tech Apprenticeship program for those starting their careers in software engineering or data [fetch.com](https://fetch.com/careers/faq).
- **Hiring process**: Typically includes an application review, a take-home exercise, a phone interview, and a panel interview [fetch.com](https://fetch.com/careers/faq).

## Sources
1. [fetch.com - Careers Page](https://fetch.com/careers)
2. [fetch.com - Careers FAQ](https://fetch.com/careers/faq)
3. [fetch.com - About Us](https://business.fetch.com/about-us)
4. [fetch.com - Open Positions](https://fetch.com/careers/jobs)
5. [linkedin.com - Fetch Company Page](https://linkedin.com/company/fetch-rewards)

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