Full-Time

Machine Learning Engineer

Updated on 2/8/2025

WITHIN

WITHIN

201-500 employees

Integrates performance media with branded content

Data & Analytics
Consulting
Consumer Software

Compensation Overview

$145.1k - $296.1kAnnually

Mid, Senior

Long Island City, Queens, NY, USA

Hybrid work opportunity.

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Scikit-learn
Python
Data Science
Tensorflow
Pytorch
Machine Learning

You match the following WITHIN's candidate preferences

Employers are more likely to interview you if you match these preferences:

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

WITHIN is a leader in the Performance Branding sector, specializing in merging performance media with branded content to help brands achieve their business and marketing goals. They offer advanced solutions such as channel strategy development, marginal bidding, attribution modeling, and lifetime value analysis. This strategic approach allows them to create personalized content at scale, making them a valuable partner for prominent brands seeking to optimize their marketing efforts.

Company Stage

Seed

Total Funding

$150K

Headquarters

New York City, New York

Founded

2015

Simplify Jobs

Simplify's Take

What believers are saying

  • Rising demand for personalized content boosts Within's growth potential.
  • Growing interest in integrated media strategies aligns with Within's offerings.
  • Performance branding trend supports Within's focus on measurable marketing outcomes.

What critics are saying

  • Increased competition from media agencies may impact Within's market share.
  • Rapid digital marketing evolution requires continuous investment from Within.
  • Economic downturns could affect Within's revenue from clients like Foot Locker.

What makes WITHIN unique

  • Within is the only Performance Branding firm globally, enhancing its market uniqueness.
  • Within's role as Foot Locker's media agency highlights its industry leadership.
  • Within offers integrated media and personalized content solutions, setting it apart from competitors.

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Benefits

Health Insurance

Unlimited Paid Time Off

Phone/Internet Stipend

401(k) Company Match

Hybrid Work Options

Professional Development Program

Company Social Events