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.