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Staff Machine Learning Engineer - Ad Platform

Fetch

LocationCanada
SeniorityStaff
CompanyFetch
Verified recentlyChecked today
Compensation

From $2k

Salary details are shown when available from the source listing. Sign in before applying so the role can be reviewed against your resume, salary goals, seniority, timezone, and location eligibility.

Requirements and working style

Decision details from the source listing

Experience

12+ years stated

Education

Bachelor's degree in Computer Science, Engineering, or a related technical field

Work authorization

Appropriate work authorization required

Benefits stated
Equity for full-time employees401(k) match up to 4%Medical, dental, and vision plans, including pet coverageEducation reimbursementFlexible paid time off and 9 paid holidaysYear-end week-long breakPaid parental leaveChildcare-related one-time incentive for employees welcoming new family members

These fields are normalized from the employer's text. Confirm details on the employer site before applying.

WFH.team analysis

What this posting tells you

Staff Machine Learning Engineer leading technical direction and hands-on development for ML systems focused on personalization, relevance, ranking, search, or advertising. Requires 12+ years of industry experience and a relevant bachelor's degree. Remote work is available in the US and Canadian provinces other than Quebec, subject to appropriate work authorization. No salary range is stated.

Role lane

Customer success, Data, Design and creative, DevOps, Education, Finance and investments, Healthcare admin, HR and recruiting, Marketing, Mobile engineering, Operations, Product, QA and testing, Security, Software, Customer support

Where you can work

Canada

Working hours

Timezone overlap is not stated.

Arrangement

Staff · full_time

Required signals
Machine learningProduction ML systemsPersonalization, relevance, search, or ad techDistributed systemsData pipelinesML infrastructureModel deployment and servingSystems designTechnical leadership and mentoring
Preferred signals
LLMsReal-time or streaming ML systemsA/B testing and experimentationReal-time model serving
Confirm before applying
  • Required timezone overlap is not stated
Market context

Customer success hiring on WFH.team

8,234active related roles
3,382new in the latest period
2717.5jobs per 100 candidates
$123kmedian of comparable listed ranges

This role's listed pay is below the median among 200 comparable roles shown here. Category counts come from WFH.team's latest published remote job market snapshot.

Explore the remote job market
Skills and signals
Machine learningProduction ML systemsPersonalization, relevance, search, or ad techDistributed systemsData pipelinesML infrastructureModel deployment and servingSystems designTechnical leadership and mentoringLLMsReal-time or streaming ML systemsA/B testing and experimentationReal-time model servingFully remote in the United States or any Canadian province except Quebec; US office work is also available.
Job description

Staff Machine Learning Engineer - Ad Platform at Fetch

What we’re building and why we’re building it.

Fetch helps people live rewarded every day, with a vision to become the rewards destination for everyone. We turn everyday activities into meaningful rewards, whether it’s grocery shopping, grabbing a quick meal, or playing a favorite mobile game. To date, we’ve awarded more than $1 billion in Fetch Points to our users.

Each day, more than 13 million receipts are submitted on Fetch, providing visibility into over $212 billion in gross merchandise value. This creates the largest retail-agnostic, SKU-level view of household spending, powering Fetch as an outcomes-based advertising platform that helps brands acquire and retain lifelong consumers.

The Fetch app is available on the App Store and Google Play, with more than 6 million five-star reviews from a highly engaged and loyal user base.

It’s not just our users who believe in Fetch: with investments from Softbank, ICONIQ, DST, Greycroft, 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.

At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don’t need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what’s next, with us. 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.

About the role

Fetch is building the future of personalized consumer experiences. We’re looking for a Staff 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

  • 12+ 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

At Fetch, we'll give you the tools to feel healthy, happy and secure through:

  • Equity: We offer full-time 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, 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, 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. (applicable for most roles)

Fetch is an equal opportunity employer that embraces diversity, inclusion, and respect for all individuals. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, marital status, veteran status, disability, or any other characteristic protected by applicable law. Our commitment to inclusivity ensures that everyone is treated with dignity and has the opportunity to succeed based on their talent, skills, and potential.

Fetch also provides reasonable accommodations to qualified individuals with disabilities or those with sincerely held religious beliefs, as required by law. If you need assistance with the application process or require an accommodation, please contact us at accommodations@fetch.com.

Company context

Working remotely at Fetch

Fetch is a mobile shopping platform that rewards shoppers for buying the brands they love by allowing them to scan receipts for points redeemable for gift cards.

Headquarters
United States
Team size
501-1000
Founded
2013
Remote policy

Remote hiring signal is inferred from active confirmed-remote job listings.

Application process

Review current openings on Fetch's official careers page before applying.

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