Machine Learning Engineer | Betty CA

The role

The Machine Learning Engineer will design, build, and ship AI solutions based on LLMs. They will build statistical and machine learning models for player lifetime value, churn, and retention using large event-level data.

What you will do

• Design, build and ship AI solutions based on LLMs, such as AI agents, retrieval-augmented generation (RAG) and automated analysis and reporting.
• Help shape how Betty adopts AI by finding use cases, evaluating models and setting up checks.
• Partner with marketing and user acquisition teams on channel and campaign performance.
• Build marketing models such as predicted LTV, attribution, marketing mix modeling, incrementality measurement and budget allocation.
• Work with analysts, marketing, product and business stakeholders to turn business questions into requirements.
• Work with large event-level data in Redshift and combine and clean data from internal and external sources.
• Build statistical and machine learning models for player lifetime value, churn, retention, segmentation, forecasting and driver analysis.
• Form and test hypotheses about player and commercial behavior.
• Find opportunities and inefficiencies across player segments, games, providers, payment flows and channels.
• Support experimentation and A/B testing.

Required qualifications

• 3+ years of experience as a Data Scientist/ML Engineer.
• Strong knowledge of statistics and machine learning methods, such as predictive modeling, classification, clustering, regression, and optimization.
• Advanced Python with strong software engineering practices (testing, code review, Git).
• Advanced SQL with Redshift or a comparable cloud data warehouse.
• Proven experience deploying and running ML models in production, including CI/CD, containers (Docker), model versioning, automated retraining and monitoring for drift and performance.
• Hands-on experience building solutions with LLMs and generative AI, such as retrieval-augmented generation (RAG), AI agents and tool use, prompt engineering and NLP.
• Experience working with LLM APIs and frameworks, and with evaluating AI outputs for accuracy, reliability, and cost.
• Good judgment on where AI adds value and where a simpler method works better.
• Proven experience applying models to business problems such as forecasting, segmentation, lifetime value, retention, churn, or engagement.
• Experience with large datasets (100M+ rows and many variables).
• The ability to work with messy, incomplete, and changing data and still produce reliable results.
• Clear communication: you can explain complex work to people who don't want the detail, and manage expectations honestly.

Nice to have

• experience with marketing data and its terminology, such as user acquisition, CAC, ROAS, FTDs, attribution, marketing mix modeling, incrementality, predicted LTV, and campaign and creative performance
• Online casino experience from any part of the business, or experience in iGaming, sports betting, gaming, fintech or another high-volume consumer business.
• Hands-on Tableau or a comparable BI tool.
• Experience with streaming data and real-time ML: event streaming (Kafka, Flink or similar), feature computation on live data and low-latency model serving through APIs.
• Hands-on experience with MLOps and orchestration tools such as MLflow, Airflow, Kubernetes, Terraform or a feature store.
• Experience working with APIs and third-party data sources.
• Experience running LLM applications in production, including vector databases, agent frameworks, output evaluation and cost monitoring.

Benefits

• Competitive salary
• Performance-based bonus
• Career and skills development opportunities
• Fun and collaborative team environment
• New modern office space

About the company

Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming. Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023.