Machine Learning Engineer

$136,000 - $158,000/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, focusing on building scalable machine learning solutions. The role involves designing, developing, and deploying large-scale machine learning models integrated with key product features, contributing to the company's mission to make every purchase rewarding. The position is hybrid, requiring three days in the office, and offers the opportunity to work on impactful projects within a small, agile team.

Responsibilities

• Design, develop and deploy large scale, big data-driven machine learning models integrated with key product features.
• Build recommendation systems leveraging robust customer data sets and various modeling approaches.
• Develop business and Saver facing applications using Large Language Models for data generation and generative AI experiences.
• Use experiments to build uplift models for determining optimal configurations for Marketing bonuses at the individual user level.
• Build and 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 results effectively to business stakeholders and technology leaders.

Requirements

• 2+ years of professional experience as a Machine Learning Engineer, Data Scientist, or equivalent role focusing on machine learning, statistical modeling, and/or ML infrastructure.
• 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