Machine Learning Engineer – Advertising

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New York / $180000 - $200000 annum

INFO

Salary
SALARY:

$180000 - $200000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

Machine Learning Engineer

Advertising

$180,000-$200,000

Hybrid - 3 days onsite in NYC

About the Company

Harnham is partnering with a forward-thinking advertising services company specializing in performance branding - leveraging AI, data science, and machine learning to optimize digital campaigns at scale. With a focus on cutting-edge ad technology, they work with some of the world's most recognized brands to drive measurable impact across multiple platforms. Their culture thrives on innovation, collaboration, and a passion for AI-driven marketing solutions.

The Role

As a Machine Learning Engineer, you will be at the forefront of building and optimizing machine learning models that power intelligent advertising solutions. This role requires expertise in machine learning, deep learning, and large-scale data processing to enhance ad targeting, audience segmentation, and campaign effectiveness. You'll collaborate with cross functional teams to implement AI models that drive real business impact.

Key Responsibilities

  • Design, build, and deploy machine learning models for optimizing ad performance and targeting
  • Work with large-scale datasets to extract insights and enhance ad delivery strategies
  • Develop and fine-tune real-time recommendation systems and predictive models
  • Implement and optimize deep learning models for personalization, content ranking, and audience segmentation
  • Collaborate with cross-functional teams to integrate AI-driven solutions into the company's ad platform
  • Enhance model efficiency and scalability for real-time applications
  • Stay up to date with advancements in machine learning, deep learning, and AI-driven marketing

Your Background and Expertise

  • Strong background in machine learning, deep learning, and AI-driven optimization.
  • Experience with Python, TensorFlow, PyTorch, Scikit-learn, and MLflow.
  • Expertise in NLP, computer vision, recommendation systems, or reinforcement learning is a plus.
  • Proficient in cloud platforms (AWS, GCP, or Azure).
  • Experience with MLOps tools (Docker, Kubernetes, Airflow, CI/CD pipelines).
  • Background in ad tech, marketing analytics, or performance-driven AI solutions is a plus.
  • Passion for building AI systems that drive measurable business results.

How to Apply

If this role sounds like a good fit, send your resume to Virginia via the apply link on this page.

Keywords

LLM | NLP | Artificial Intelligency | Multimodal AI | Fine-Tuning | Retrieval - Augmented Generation (RAG) | Personalization | Recommendation | Generative AI | MLOps | LangChain | AWS |GCP | Customer retention

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