AI/Data Engineer

THE COMPANY:

Juul Labs’ mission is to impact the lives of the world’s one billion adult smokers by eliminating combustible cigarettes. We have the opportunity to address one of the world’s most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.

We are a diverse team that is united by this common purpose and we are hiring the world’s best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career at one of the fastest growing companies is compelling, read on for more details.

USA REMOTE

KEY RESPONSIBILITIES:

• Leverage Python to design robust, reusable and scalable data solutions and data pipeline frameworks to automate the ingestion, processing and delivery of both structured and unstructured data, ensuring data cleanliness and formatting
• Drive development of large-scale data engineering and data science projects
• Monitor model performance and update models as new data becomes available, employing automated pipelines for retraining and deployment
• Partner with other Data Scientists, Data Engineers and Business Analysts to build configurable, scalable, and robust data processing infrastructure
• Work closely with our sales, operations, research, and finance teams on data storage, retrieval, and analysis
• Develop new systems and tools to enable stakeholders to consume and understand data more intuitively
• Create and establish design standards and assurance processes to ensure compatibility and operability of data connections, flows and storage requirements
• Validate model transformations for data integrity (source/target tables values and counts are expected, ensurance of proper data cleansing)
• Interpret and communicate model decisions and feature importance using methods like SHAP or LIME to gain insights and improve model transparency
• Leverage ensemble techniques, such as stacking or bagging, to combine multiple models and enhance the accuracy of lead forecasts
• Utilize VertexAI or MLflow, an open-source platform for managing the machine learning lifecycle, to track and reproduce experiments, manage model versions, and facilitate model deployment

OUR DATA STACK:

• Google Cloud Platform - GCP (BigQuery, Storage, Dataflow, Pub/Sub, Cloud Functions/Run, Vertex AI, Cloud Build)
• Databricks, Delta Lake, MLflow
• Airflow, Fivetran
• DBT

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

• Comfortable working in a scrum agile environment using Jira
• Advanced knowledge in Python to process large-scale data engineer models and workflows 
• Proficiency in relevant libraries/frameworks, including pandas, NumPy, scikit-learn, PyMC3
• Knowledge of prior work with TensorFlow, Keras, and/or PyTorch is a plus
• Skilled in analytical SQL in support of data modeling and manipulating multiple data formats
• Experience with version control (Git) and containers (Docker)
• Knowledge of bash/shell and orchestration tools (e.g. Airflow), is preferred

EDUCATION:

• Bachelor's degree or Master's degree in Computer Science, Engineering, Math, or equivalent experience (Bachelor’s degree with 2-5 years of experience or Master’s degree with 1-3 years of experience)

JUUL LABS PERKS & BENEFITS:

• A place to grow your career. We’ll help you set big goals - and exceed them
• People. Work with talented, committed and supportive teammates
• Equity and performance bonuses. Every employee is a stakeholder in our success
• Cell phone subsidy, commuter benefits and discounts on JUUL products
• Excellent medical, dental and vision benefits