Lead Machine Learning Engineer

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New York City / $210000 - $250000 annum

INFO

Salary
SALARY:

$210000 - $250000

Location

LOCATION

New York City

Job Type
JOB TYPE

Permanent

Lead Machine Learning Engineer - AdTech

New York Metro Area - Hybrid

$210,000 - $250,000

THE COMPANY

We are partnered with a forward-thinking advertising firm that is transforming the ad tech and marketing landscape. They've developed a cutting-edge AI-driven platform that generates real-time customer insights to drive revenue. As they scale their operations, they're looking for a skilled Machine Learning Engineer to spearhead new ML initiatives.

RESPONSIBILITIES

  • Design and implement machine learning models to enhance the efficiency of the company's technology.
  • Lead efforts to identify patterns and insights within advertising data.
  • Own the entire data pipeline from ideation, deployment, and maintenance.
  • Shape the company's long-term machine learning roadmap.
  • Collaborate with teams across engineering, product, marketing, and advertising.
  • Take full ownership of ML projects from conception to deployment while mentoring junior engineers; hit the ground running and be able to be self-sufficient.
  • Act as a thought leader and liaise with key stakeholders.

SKILLS AND EXPERIENCE

  • Master's or PhD in Computer Science, Statistics, Mathematics, or a relevant STEM discipline.
  • 5-8 years of hands-on experience in AdTech, MarTech, or a closely related field (preferred).
  • Proven ability to manage end-to-end machine learning projects.
  • Have built and scaled models that consumers use directly and have worked with.
  • Skilled at working with both technical and non-technical teams.
  • Expertise in Python, TensorFlow, PyTorch, or Keras.
  • Strong background in leading projects that have directly impacted revenue.
  • Deep understanding of consumer and customer data.
  • Ability to showcase creative problem-solving and innovative thinking.
  • Open to industry --> coming from a top leader in the ML space

BENEFITS

The compensation package includes a competitive base salary, performance-based bonus, and a full suite of benefits.

HOW TO APPLY

To express interest, please submit your CV to Grace McCarthy using the Apply link on this page.

KEY TERMS

Data Science | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real-Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Targeting | AI-Powered Insights

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