Machine Learning Engineer - AdTech in NEW YORK CITY METROPOLITAN AREA

Machine Learning Engineer

AdTech

Hybrid (4 days a week in NYC)

$200,000 - $220,000 USD/yr + bonus

Our client is a fast-growing technology company that is transforming the advertising industry by developing cutting-edge automation and optimization solutions. With a strong track record in helping major brands maximize ad performance, they are now expanding their technology platform to revolutionize the way marketing strategies are built, executed, and scaled.

This company is looking for top-tier engineers who can tackle complex problems, think independently, and drive impactful solutions in a fast-paced environment. If you have a strong background in machine learning and are eager to work on challenging, high-impact projects, this opportunity is for you.

THE ROLE

As a Machine Learning Engineer, you will take full ownership of a single machine learning model—building, deploying, and maintaining it end to end. You will collaborate with domain experts, stakeholders, and the tech team to iterate and enhance model performance, ensuring scalability and efficiency. The role will expose you to a variety of machine-learning challenges.

Key Responsibilities:

• Own the end-to-end development, deployment, and maintenance of a machine-learning model.
• Work closely with domain experts, data scientists, software engineers, and business stakeholders to refine and optimize models.
• Design and implement scalable machine learning solutions in high-throughput, low-latency environments.
• Deploy models in cloud environments (AWS, GCP, or Azure) and manage pipelines using Docker and Kubernetes.
• Continuously monitor model efficacy, troubleshoot issues, and implement improvements.
• Stay up to date with the latest advancements in machine learning to enhance the company's technological capabilities.

YOUR SKILLS AND EXPERIENCE

• Proven experience in machine learning engineering, with a strong background in Python.
• Hands-on experience in building and deploying machine learning models at scale.
• Strong software engineering skills, with an understanding of Go being a plus.
• Deep expertise in model development, including inception, deployment, and automated retraining (e.g., Contextual Bandits, Deep Neural Networks, LLM fine-tuning, and diffusion models).
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Familiarity with ML tooling such as MLflow, Kubeflow, Airflow, TensorFlow, or PyTorch.
• Ability to thrive in a fast-paced, dynamic environment and solve open-ended challenges.

WHY JOIN?

• Work at a company that is rapidly evolving from a marketing agency to a technology powerhouse.
• Collaborate with a highly skilled, tight-knit tech team (ML, DS, Software) in an innovative and fast-moving environment.
• Tackle real-world challenges with a high impact on business outcomes.
• Competitive salary, bonus potential, and potential relocation support for the right candidate.

HOW TO APPLY

If you’re passionate about machine learning and want to contribute to a game-changing technology company, we encourage you to apply.

Register your interest by submitting your resume via the Apply link on this page.

KEYWORDS: Machine Learning | Model Deployment | AI | LLM | Recommendation Systems | NLP | Contextual Bandit | Deep Neural Networks | Python | Go | AWS | GCP | Azure | Docker | Kubernetes | MLflow | Kubeflow | TensorFlow | PyTorch