Machine Learning Engineer

$110,000 - $142,000/Yr

Ibotta - Denver, CO

Full-time - Mid Level

Denver, CO

About the position

Ibotta is seeking a Machine Learning Engineer to join their innovative team, contributing to the mission of making every purchase rewarding. This role involves building scalable machine learning solutions using various technologies and requires collaboration with cross-functional teams to deliver impactful products.

Responsibilities

• Design, develop and deploy large scale, big data-driven machine learning models integrated with key product features.
• Develop recommendation systems leveraging granular customer data sets.
• Create business and saver-facing applications using Large Language Models for data generation and generative AI experiences.
• Build uplift models to determine optimal configurations for marketing bonuses at the individual user level.
• Scale ML-related infrastructure to streamline development, evaluation, deployment, and re-usability of core ML features and services.
• Collaborate with Machine Learning Engineering and Analytics leads to establish scalable standards and platforms.
• Deliver world-class products in partnership with cross-functional product teams.
• Communicate complex machine learning solutions and analyses effectively to stakeholders.

Requirements

• 2+ years of professional experience as a Machine Learning Engineer, Data Scientist, or equivalent role.
• Bachelor's Degree in Computer Science, Mathematics, Analytics, or related field required.
• Proficiency in Python and SQL.
• Experience with machine learning frameworks (e.g. scikit-learn, xgboost, PyTorch, TensorFlow) and distributed big-data tools (Spark, Hive).
• Ability to communicate complex, technical machine learning implementations to diverse audiences.
• Experience with version control systems (e.g. git) and CI/CD for machine learning pipelines.
• Ability to think critically and leverage domain expertise to build machine learning powered applications.

Benefits

• Competitive pay
• Flexible time off
• Medical, dental, and vision benefits
• Lifestyle Spending Account
• 401k match
• Equity
• Paid parking
• Bagel Thursdays
• Snacks and occasional meals