DefinedTalent is proud to support an innovate and creative organization that helps brands create authentic content tailored to their audiences and platforms.

We are in search of an exceptional Machine Learning Engineer to join this accomplished team that focuses on improving ROI across TikTok & Meta by producing hundreds of UGC videos per month and automating media management. In this role, you will take the lead in developing and finetuning predictive ML models, with a primary focus on Ad Score and Ad Account Health. You will play a crucial role in delivering actionable insights and solutions to their clients, and your work will be integral to their mission.

***Hybrid Opportunity in Long Island City, NY***

Responsibilities:

ML Model Development: Lead the development and refinement of predictive ML models, particularly Ad Score and Ad Account Health
Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and insights that inform model development and optimization.
Feature Engineering: Collaborate with data engineers to create and maintain feature engineering pipelines to support model training.
Model Evaluation: Implement rigorous evaluation methodologies to assess model performance, making necessary adjustments for continuous improvement.
Deployment and Integration: Work closely with engineering teams to deploy models and integrate them into their products through APIs.
Collaboration: Collaborate closely with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into their products
Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, and explore innovative approaches to problem-solving.

Requirements:

Master’s or Ph.D. in a related field with a strong academic background
Proven experience as a Data Scientist with a track record of developing and deploying predictive ML models
Expertise in machine learning techniques, including but not limited to regression, classification, clustering, and deep learning.
Proficiency in data manipulation, feature engineering, and model evaluation.
Strong programming skills in languages such as Python and experience with libraries like TensorFlow, PyTorch, and scikit—learn.
Excellent communication skills and the ability to collaborate effectively within cross-functional teams.
A passion for continuous learning and staying updated with the latest trends and technologies in data science.
Strong problem-solving abilities and the capacity to translate complex data into actionable insights.

Tech Stack:

Google Analytics
Hotjar
Rollbar
Azure Portal
Terraform Cloud

*Candidate must be legally authorized to work in the United States.

*Verification of employment eligibility will be required at the time of hire.

*Visa sponsorship is not available for this position.

The salary range for this position is $118,000-182,000 per year.

Final salary is competitive and commensurate with experience.

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Machine Learning Engineer