Senior Machine Learning Engineer

Join our vibrant fintech startup, Benjamin, backed by top-tier venture capitalists Play Ventures & F4 Fund. We're on the lookout for an experienced and forward-thinking

Senior Machine Learning Engineer

to our team!

At Benjamin, we're passionate about rewarding everyday actions through our MoMo's (Money Moments). Benjamin is a new cash-rewards platform for consumers, merchants and gamers to earn cash, called Benjamin Money Moments, by completing daily tasks, playing casual games, viewing content and ads, and making everyday card purchases with cash back

Benjamin is reshaping the future of cash rewards with a simple idea: everyday actions should earn you cash. Whether you're making a purchase, playing a mobile game, or watching an ad, you get rewarded with Benjamin Money Moments. It's that simple.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Own the full ML lifecycle: EDA, problem framing, prototyping, productionizing, and operating models in production.
• Design, build and deploy ML models that power core product and business decisions.
• Build and run training, retraining and evaluation pipelines, including experiment tracking and model versioning with MLflow.
• Set up monitoring for model performance, data quality and drift, and act on what it shows.
• Write well-tested, maintainable Python and ship through CI/CD on AWS.
• Partner with data engineering on reliable, efficient data pipelines and SQL-based feature work.
• Raise the engineering bar through code reviews, design discussions and mentoring other engineers and data scientists

• 5+ years of hands-on Python software development, with strong engineering practices: testing, code review, CI/CD, Git, and working with AWS and SQL.
• 3+ years of hands-on experience with DS/ML tools and frameworks such as PyTorch, MLflow, NumPy, pandas and scikit-learn.
• A track record of building, deploying and maintaining ML models in production, not only in notebooks.
• Comfort owning the whole ML development cycle: EDA, prototyping, productionizing, and building and operating (re)training and evaluation pipelines.
• Clear communication with technical and non-technical colleagues, and the judgment to balance model quality against delivery speed.
• Experience building recommender systems.
• Experience in the AdTech industry.
• Experience building deep neural network (DNN) models.
• Experience with GCP and Snowflake

Competitive pay

: We offer great salaries and bonuses.

Thriving in Hyper-Growth:

Immerse yourself in the dynamic environment of a hyper-growth startup, where you'll encounter daily challenges and avenues for professional advancement.

Cutting-Edge Collaboration:

Engage with innovative technology and join a fast-paced team known for its forward-thinking approach and commitment to innovation.

Positive Workplace Culture:

Experience a professional yet enjoyable atmosphere, where hard work is valued alongside a sense of humor and camaraderie, fostering a fulfilling work environment.