Machine Learning Engineer

Role Type: Machine Learning Engineer

Reporting to: Director of Data Science (role we are currently recruiting for #174682)

Location: Hybrid(New York, Fort Worth, Ann Arbor), OR remote

Travel Expectation: at least 4x a year to visit with teams

Time zone: flexible - team works across multiple time zones

Salary: $190 -$215 base + 5%-10% bonus

Join our team as a Machine Learning Engineer, where you'll drive innovation and business impact by developing and deploying machine learning models. You will collaborate with cross-functional teams, including data scientists and software engineers, to create solutions for complex business challenges.

Key Responsibilities:

Design, develop, and deploy machine learning models to solve business problems (e.g., recommendation systems, NLP, predictive analytics).

Work closely with stakeholders to translate requirements into data-driven solutions.

Collect, preprocess, and analyze data to optimize model performance.

Monitor and maintain model performance in production environments.

Stay up-to-date with the latest in machine learning research and technologies.

Collaborate across teams to drive actionable insights and business decisions.

Qualifications:

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field (Master's/PhD preferred).

3+ years of experience developing and deploying machine learning models in production.

Strong programming skills (Python, Go, Perl) and experience with tools like TensorFlow, Docker, AWS, and Databricks.

EXTENSIVE adtech/ad auctioning experience

Experience in mode based modeling

Expertise in data preprocessing, feature engineering, and model evaluation.

Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).

Strong problem-solving, communication, and collaboration skills.

Nice to Have:

Experience with Agile/Scrum methodologies and interdisciplinary teams.