Flipp partners with the largest North American retailers and brands to deliver local promotions and savings to millions of engaged shoppers daily, driving superior returns on investments.
We help people make smarter shopping decisions with autonomy and accountability. With rising living costs, Flipp's mission is crucial. Our Shopper Consideration Platform allows retailers and manufacturers to create digital experiences from their savings & deals content, aiding shoppers in deciding what to buy and where to buy it. Together, we make a difference.At Flipp, you will work with hungry, humble, highly intelligent and other-centered teammates. We challenge ourselves, learn by doing, and grow by developing new skills and perspectives.
You will be equipped to make an impact, realize your potential, and stay inspired every step of the way.As a Machine Learning Engineer, you will work with the Product, Engineering, and Analytics teams to further the use and understanding of machine learning across the organization. You will have the opportunity to create scalable machine learning architecture and framework that can be leveraged to further the overall strength of data products and data driven decision making across Flipp.
What you'll get the opportunity to do:
- Develop and maintain data processing pipelines and ML model deployment infrastructure; continuously improve the ML framework to standardize and automate processes
- Implement monitoring solutions to track the health and performance of ML data pipelines in order to identify and resolve issues proactively
- Conduct regular performance tuning and optimization of ML data pipelines to meet SLAs and scalability requirements
- Build and maintain key ML solutions to advance product features or augment analysis for decision making
- Design and develop prototypes and approaches that leverage advanced ML algorithms including recommendation systems, bayesian statistics, segmentation, NLP and deep learning
What you'll bring to the team:
- 2+ years of relevant experience as a Machine Learning Engineer or in a similar role
- Experience in working with Scala, Spark, Python, related big data technologies and distributed computing
- Experience in constructing scalable data architecture using tools like Airflow and Databricks
- Strong knowledge of standard ML techniques and algorithms
- Experience in deploying ML models in production following backend software engineering best practices
- Ability to initiate, drive and lead projects to completion with minimal guidance
- Proven experience in at least one of following areas:
- recommendation systems (e.g., filtering, personalization via deep learning / embeddings, semantic relevance)
- language understanding (e.g., text representation, NLP/LLM, semantic extraction)
- MLOps platform (model lifecycle management, deployment, serving, monitoring)
Our Promise to each other:
What We Bring:
- An inclusive, collaborative environment where your voice matters
- A remote-first environment
- The tools and opportunities you need to grow and develop
- Every opportunity to own your success
What You Bring:
- Your authentic self, everyday
- Your best work, from anywhere
- An appetite for learning, curiosity, and a growth mindset
- Motivation, initiative and the mind of an entrepreneur
Here’s how to apply:
If you’re interested in working with us on the future of shopping, fill out the fields below and submit your application. While experience and skill sets are valuable, growth potential and attitudes are equally important. If you’re prepared to grow dramatically with your team at a world-class learning organization, consider applying. We understand that the most creative solutions require diversity in thought and life experiences.Flipp is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.
We are proud to be a welcoming space for employees, of every background, to bring their whole selves to work with confidence. Flipp is committed to providing appropriate accommodations to ensure our selection process is equitable, and such accommodations can be made available on request. If you require an accommodation, please contact your dedicated recruiter directly.A member of our recruitment team will respond to you in the coming weeks.
