What You’ll Do
We are seeking an AI/ML Engineer to join our team to develop and implement AI-driven features and machine learning models that will drive intelligent user scoring and predictive analytics, such as predicting user behavior. You’ll be empowered to help drive the technical design of our data platform, while applying engineering techniques to delivering software solutions that efficiently process petabytes of data! All of this in a solid engineering culture: our teams ship containers, not Notebooks.
You should have a firm grasp of modern software engineering, DevOps, and testing practices. To be effective in the data domain, you’ll also need to possess particularly strong python, SQL, and database skills. This role involves collaboration with product owners and stakeholders across time zones. As our teams own the full lifecycle of services, you’ll also participate in an on-call rotation.
● Collaborate with product, engineering, and data science teams to design, develop, and deploy highly scalable solutions.
● Write and maintain comprehensive unit and integration tests for the software you produce.
● Develop and maintain software engineered in Python (and/or Java) integrating with databases such as Databricks, MongoDB, and Postgres.
● Debugging flows across a complex environment; including troubleshooting eventing and ETL issues
● Be part of our regular on call rotation with the other team members.
● Build and deploy machine learning models to score users based on behaviors, attributes, and other relevant data to drive business decisions
● Work through all phases of the AI/ML model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment in production
● Optimize AI and machine learning models for performance, accuracy, and scalability
● Conduct exploratory data analysis to identify trends, patterns, and insights that will inform model development
What We’re Looking For
● Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, or equivalent combination of education and experience
● 7+ years of hands-on software development experience in Java or Python.
● Proficiency with machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar
● Experience working with structured and unstructured data, and using advanced data preprocessing techniques
● Experience working in Agile or Lean teams, with a strong understanding of DevOps best practices (git, CI/CD, testing)
● Familiarity with containerization tools like Docker, Kubernetes, EKS/ECS
● Experience with data pipelines, ETL processes, and relational and NoSQL databases (e.g., MySQL, Clickhouse, MongoDB)
● Strong analytical, problem-solving, and communication skills, with the ability to explain complex technical concepts to non-technical stakeholders
● Experience working with AWS services like EC2, S3, Lambda, and Redshift
● Advanced knowledge of SQL (we’re looking for someone who can write efficient queries, not just dashboards, you grasp CTE, complex joins and index performance)
● Exposure to event streaming or pub/sub technologies like Kafka
What Will Set You Apart
● Experience working in marketing technology or e-commerce industries, with a focus on customer behavior analysis and predictive modeling
● Knowledge of supervised and unsupervised learning algorithms, including classification, regression, clustering, and recommendation systems
● Experience with MLOps and deploying, monitoring, and maintaining ML models in production
● Knowledge of big data technologies such as Spark, Airflow, and DataBricks is a big plus
● Passion for staying up-to-date with the latest AI/ML technologies and trends and applying them to solve real-world problems