MACHINE LEARNING ENGINEER
REMOTE IN THE UNITED STATES
SALARY: $140,000 - $160,000 BASE + BONUS
Are you passionate about using data to drive innovation? Do you have end-to-end ML modeling experience and communicate technical concepts to non-technical stakeholders? This Machine Learning Engineer role might be for you. You will work with cross-functional teams to develop and deploy machine learning models, solving complex problems and generating actionable insights.
The Company:
This advertising technology company is a leader in the commerce and media space who utilizes AI to help enhance user experience and drive revenue growth for their clients.
Key Responsibilities:
- Collaborate with data scientists, engineers, and stakeholders to create machine learning solutions.
- Design, develop, and implement models for recommendation systems, NLP, and predictive analytics.
- Preprocess and analyze data to optimize model development.
- Deploy models to production, ensuring scalability and reliability.
- Monitor and maintain model performance in production.
- Stay updated with the latest machine learning technologies and methodologies.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; Master's or Ph.D. preferred.
- 4+ years of experience in machine learning engineering.
- Proficiency in Python, GoLang, Perl, and familiarity with TensorFlow, Airflow, Databricks, AWS, and Docker.
- 3+ years of AdTech experience and building ML models on real-time bidding (RTB)
- Experience with data preprocessing, feature engineering, and model evaluation.
- Knowledge of cloud platforms and containerization
- Strong problem-solving, communication, and collaboration skills.
How to Apply:
If you think you can be a fit for this position, apply to this role or email Emma Spagnola at ...@harnham.com