Lead and develop a team of machine learning engineers responsible for business-critical Ad Platform systems.
Translate product and technical strategy into quarterly and annual roadmaps with measurable product, technical, and delivery outcomes.
Guide the development of ML solutions for areas such as ad ranking, targeting, bidding, inventory forecasting, optimization, and measurement.
Partner with Product, Data Science, Analytics, and Engineering teams to define success metrics, experimentation strategies, and technical priorities.
Make sound trade-offs across delivery speed, model performance, scalability, reliability, maintainability, and technical debt.
Raise the engineering bar through strong design reviews, code reviews, operational ownership, and architectural standards.
Proactively identify technical and organizational risks before they constrain delivery or platform growth.
Coach engineers on system design, technical decision-making, execution, and career development.
Use data, experiments, incidents, system performance, and delivery metrics to guide priorities and improve team effectiveness.
Drive alignment and execution across teams with shared systems, goals, and dependencies.
Minimum Requirements
8+ years of experience in software engineering, machine learning engineering, or a related technical field, including 2+ years managing and developing engineering teams.
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
Experience managing and developing machine learning or software engineers in a product-focused environment.
Strong technical background building and operating production machine learning systems at scale.
Experience translating business and product objectives into technical roadmaps and measurable outcomes.
Strong understanding of the ML lifecycle, including data quality, feature development, training, evaluation, deployment, monitoring, and iteration.
Experience making technical trade-offs involving model quality, latency, scalability, reliability, and maintainability.
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Ability to lead teams through medium-to-high ambiguity and complex cross-functional dependencies.
Demonstrated experience coaching senior engineers and raising technical and operational standards.
Strong communication and stakeholder-management skills, including the ability to influence without direct authority.
Proficiency with Python and SQL and experience with modern machine learning frameworks and cloud-based data or ML systems.
Experience establishing accountability for both delivery outcomes and the long-term technical health of owned systems.
Preferred Requirements
Master’s degree or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related technical field.
Experience building machine learning systems for advertising, recommendations, ranking, personalization, or marketplace optimization.
Familiarity with ad auction dynamics, bidding, targeting, inventory forecasting, attribution, and campaign measurement.
Experience leading teams responsible for low-latency, high-scale production systems.
Strong understanding of experimentation, causal inference, and incrementality measurement.
Experience with modern MLOps practices, feature platforms, model monitoring, and automated training and deployment pipelines.
Experience working with large-scale data processing and distributed systems.
Demonstrated success leading cross-team technical initiatives in a rapidly evolving product environment.
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)
About Fetch
Software & SaaS909 employeesFounded 2013
Fetch is a U.S. consumer rewards app and outcomes-based advertising platform serving shoppers and brands.
