Ai/Data Engineer Jobs

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:

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

OUR DATA STACK:

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

PERSONAL AND PROFESSIONAL QUALIFICATIONS:

• 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
• Experience with version control (Git) and containers (Docker)
• Skilled in analytical SQL in support of data modeling and manipulating multiple data formats
• Comfortable working in a scrum agile environment using Jira
• 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:

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

Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US.

SALARY RANGES:

Salary varies by role, level and location, and is dependent on the cost of labor in a given

geographic region among other factors. These ranges may be modified at any time.

LOCATIONS:

Tier 1 Locations: Greater New York City, and San Francisco Bay Area

Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,

Greater Sacramento, Los Angeles/OC/San Diego

Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater

Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,

Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,

Minneapolis/St. Paul, Colorado, Phoenix, Reno, Las Vegas, Portland Ore./Vancouver

Wash., Rest of California, Hawaii

Tier 4 Locations: Rest of US including Alaska and Puerto Rico

Tier 1 Range:

$110,000—$165,000 USD

Tier 2 Range:

$102,000—$153,000 USD

Tier 3 Range:

$95,000—$143,000 USD

Tier 4 Range:

$87,000—$131,000 USD