Staff Machine Learning Engineer (Personalization)

Job Description

Meet Fetch Engineering: 

At Fetch, we are passionate about solving challenging problems and embracing ambiguity. Our engineering philosophy promotes adaptability and innovation over rigid adherence to rules. Our engineers thrive in complex environments, making well-informed decisions even in uncertain situations. We seek out the necessary information and focus on action and impact, while consistently upholding high technical standards. In this role, you will be a technical leader, shaping best practices to build world-class, user-facing technology. You will mentor fellow engineers, fostering technical growth and collaboration within the team. As a hands-on leader, you will actively contribute to the codebase and deliver features alongside your team.

About the Role:

As a Staff Machine Learning Engineer specializing in personalization, you will play a crucial role in developing models and algorithms that tailor the user experience by recommending the most relevant offers. You will design, build, and implement personalization systems that optimize for user engagement, offer relevancy, and customer satisfaction. Beyond technical implementation, you will serve as a technical thought leader, driving architectural decisions and best practices across teams. Your work will directly impact our ability to deliver value to both users and brand partners.

This is a full-time role that can be held from one of our US offices or remotely in the United States.

What you’ll do at Fetch (Role Responsibilities): 

• Develop scalable machine learning models and systems to personalize the offer experience for millions of users.
• Leverage data from user behavior, preferences, and transaction history to drive personalized recommendations.
• Lead technical architecture discussions and make decisions that balance ML sophistication with system performance requirements.
• Define and optimize for critical metrics including model latency, throughput, and resource utilization.
• Collaborate with cross-functional teams including product, engineering, data science, and marketing to define personalization strategies.
• Use A/B testing and other evaluation techniques to continuously improve personalization models.
• Implement algorithms that optimize for user satisfaction, engagement, and long-term loyalty.
• Provide technical leadership and mentorship to team members, influencing ML architecture and engineering practices across multiple teams.

In your Toolbox (Minimum Requirements):

• 7+ years of experience in machine learning with a focus on personalization, recommendation systems, or similar fields.
• Strong expertise in machine learning algorithms, deep learning, and large-scale recommendation systems.
• Demonstrated experience in building and deploying high-performance ML systems with specific attention to latency and throughput requirements.
• Experience leading technical initiatives across multiple teams and mentoring junior, mid, and senior engineers.
• Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks.
• Experience with large datasets, data pipelines, and deploying ML models to production environments.
• Familiarity with A/B testing, experimentation, and optimization techniques.
• Excellent communication skills and the ability to translate technical concepts into business impact.

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

• Equity: We also offer 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, including Juneteenth and Indigenous People’s Day, 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 in Madison, Birmingham, or Chicago. 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.