Advanced Machine Learning Engineer for Performance Branding

3 weeks ago


New York, New York, United States WITHIN Full time
Performance Branding Innovator

We are seeking an exceptional Advanced Machine Learning Engineer to join our accomplished team at WITHIN, the world's first Performance Branding company. With a primary focus on Ad Score and Ad Account Health, you will play a crucial part in delivering actionable insights and solutions to our clients, driving business growth through innovative marketing strategies.

About Us:

WITHIN is a cutting-edge Performance Branding company that partners with iconic brands such as The North Face, Timberland, Movado Watches, and Jose Cuervo. We offer a collaborative and dynamic work environment where everyone wants to grow and be challenged. Our integrated operating model collapses traditional marketing silos between creative and media, performance and brand, and across media channels.

Your Role:

In this role, you will take the lead in developing and fine-tuning predictive ML models, utilizing your expertise in machine learning techniques, including regression, classification, clustering, and deep learning. Your responsibilities will include but not be limited to:

  • 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 our products through APIs.
  • Cross-Functional Collaboration: Collaborate effectively with product managers, full-stack engineers, and TPMs to ensure seamless integration of data science solutions into our products.
  • Research and Innovation: Stay up-to-date with the latest developments in the field of data science and machine learning, exploring innovative approaches to problem-solving.

Your Qualifications:

To succeed in this role, you will need:

  • A 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, or 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.

What We Offer:

We offer a competitive salary range based on education, experience, and skills level ($145,057-$296,054). This includes:

  • Unlimited vacation policy.
  • A monthly phone stipend.
  • Comprehensive medical, dental, and vision insurance options.
  • A 401(K) plan with matching.
  • A dog-friendly office.
  • A hybrid work opportunity.
  • A professional development program.
  • A bonus perk - $50/week Seamless allowance.


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