Senior Machine Learning Engineer

Job summary

The role involves working as a Senior Machine Learning Engineer focused on marketing personalization within a consumer growth product and tech team. The engineer will collaborate with other engineers, data scientists, and product members to enhance user experience through AI-driven recommendations.

Qualifications

• Proven experience in a similar machine learning role.
• Proficiency in Python and experience deploying models to production.
• Familiarity with machine learning libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, and others.
• Degree in a technical field, such as Computer Science or an equivalent engineering discipline.
• Experience in cloud environments like AWS, Google Cloud, or Azure.
• Bonus: Knowledge of dbt, Snowflake, Airflow, Metaflow, and statistical hypothesis testing.

Responsibilities

• Researching, designing, and building machine learning models for marketing personalization.
• Running experiments and evaluating results to refine models and algorithms.
• Solving problems with a product and customer-focused approach.
• Building and deploying models in a production environment.
• Collaborating with team members to enhance product offerings and address customer challenges.

Skills

• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team-oriented environment.
• Excellent communication skills to convey complex technical concepts.

Education

• Bachelor's degree or higher in a relevant technical field.

Tools

• Proficient in Python, SQL, and familiar with tools such as GitHub, Jenkins, Docker, Airflow, OpenSearch, and Redshift.