Senior Machine Learning Engineer

Shopfully; United States; Hybrid; USD 57,000 - 80,000; Full time

Benefits offered by this job

Hybrid work model

Remote work from Europe

Learning opportunities

Ergonomic office setups and snacks

Job summary

ShopFully is hiring for an ML Engineer to own end-to-end production ML systems. You will build and monitor models and features at scale, using Python, Spark, and Databricks, with strong focus on MLOps and regulatory compliance.

You will collaborate with cross-functional teams to integrate models into the Audience Platform and drive experimentation and optimization in a fast‑growing, European tech environment.

Qualifications

• Bachelor’s degree in a quantitative field and proven ML lifecycle experience.
• Strong coding and data engineering foundation for large-scale pipelines.
• Experience building production ML systems and model monitoring.

Responsibilities

• Own end-to-end ML systems: design, build, deploy, monitor production models.
• Develop data pipelines and feature engineering at scale with Spark/Databricks.
• Implement MLOps practices including model registries and drift monitoring.
• Collaborate on Audience Platform integrations for production use.
• Design offline evaluations and A/B tests to validate models.
• Ensure privacy and regulatory compliance in modeling work.

Skills

Python

Spark

SQL

Databricks

MLflow

MLOps

A/B testing

Data pipelines

AI coding agents

English

Education

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering

Tools

Cursor

Claude Code

MLflow

Job description

WHO WE LOOK FOR

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands.

We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases.

In 2024, Shopfully joined forces with the North American company Flipp, creating a global leader in the sector. Together, we reach 400 million households and serve over 1,000 top retailers and brands across 27 markets, including Europe, Canada, the USA, Latin America, and Australia.

Ready to spark your growth with us?

WHAT YOU WILL DO

• End-to-End ML Systems Ownership: Design, build, deploy, and monitor production ML models and pipelines—such as the IAB Segmentation Model, Retailer & Category Affinity Segments, and Custom Segment Toolkits.
• Feature & Data Engineering at Scale: Build and maintain high-volume feature engineering and data pipelines using Spark, Databricks, Python, and SQL, working with core tables containing tens of billions of rows.
• MLOps & Model Lifecycle Management: Implement robust MLOps practices, including model registries, offline/online evaluation, experiment tracking (MLflow or equivalent), and monitoring for data/model drift and quality.
• Audience Platform Integration: Collaborate on the platform side (Audience API, User Profile API, Kafka Topics, and activation integrations like DV360, Braze, and TTD) to ensure models seamlessly integrate into downstream production services.
• Experimentation & Model Tuning: Design and execute offline evaluations and A/B tests to validate modeling impact, optimize hyperparameters, and unlock new data signals (e.g., Store Trip Data).
• Privacy & Compliance: Plan and execute modeling and data pipeline initiatives in strict accordance with data regulatory laws (GDPR, CCPA, consent management).
• Cross-Functional Collaboration & AI Workflows: Partner with Product Analytics, Marketing Science, Data Engineers, and Software Engineers to drive revenue OKRs. Utilize AI-assisted development tools (e.g., Cursor, Claude Code) to maximize daily throughput.

WHAT YOU WILL NEED

• Strong Software Engineering Fundamentals: Comfortable owning and operating production backend/data systems end-to-end, including participating in the team’s on-call rotation.
• End-to-End Production ML Track Record: Proven experience across the full ML lifecycle: feature engineering on Databricks/Spark, model training, evaluation, deployment, and monitoring in production.
• Genuine Modeling & Statistics Skills: Ability to build, tune, and evaluate models from scratch, with solid grounding in statistics, hyperparameter tuning, and experiment design (A/B testing).
• Data Scale & Tech Stack Mastery: Strong proficiency in Python, Spark, SQL, and Databricks. Comfort with distributed data pipelines at real scale.
• MLOps Fluency: Experience with ML lifecycle tools (MLflow or equivalent), model registries, and production monitoring for drift/quality.
• Active Use of AI Coding Agents: Hands‑on use of AI development tools (e.g., Cursor, Claude Code) to increase personal engineering throughput.
• Education: Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative field.
• Fluent in English: Strong written and spoken communication skills with overlap availability into North American hours (9am to 12pm EST)

NICE TO HAVE

• Ad-tech or programmatic advertising context.
• Privacy engineering background (GDPR, CCPA).
• Deep Databricks platform administration knowledge.
• Familiarity with LLM platforms (OpenAI, Gemini) and embedding research.

SALARY RANGE : €50,000 – €70,000 fixed gross salary per year.

LOCATION

While we have offices in Milan , Barcelona and Sofia , you can benefit from our flexible hybrid model, empowering you to work where you’re most effective in Europe. Full remote available from Europe.

WHAT YOU WILL FIND AT SHOPFULLY

• An opportunity to thrive in a rapidly scaling multinational company
• A vibrant, informal, and inclusive work environment
• We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work
• Access to learning opportunities and regular feedback sessions
• Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups
• Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks
• We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are
• Benefit from additional country-specific advantages based on local contracts and practices

WHO WE ARE

We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us.

TO FEEL AT HOME IN SHOPFULLY YOU NEED

• Progress Over Perfection : We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sense, but because it drives results.
• Clarity Through Transparency : We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better.
• Learn Loudly : We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition.
• Challenge with Empathy : We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust.

If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here.

* Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.