Chief AI Engineer

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New York / $300000 - $350000 annum

INFO

Salary
SALARY:

$300000 - $350000

Location

LOCATION

New York

Job Type
JOB TYPE

Permanent

Chief AI Engineer - AdTech

New York, New York - 4 days onsite

$300,000 - $350,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

  • Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

  • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

  • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

  • Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

  • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

  • Advanced degree (Master's or PhD) in Computer Science, Machine Learning or a related field.

  • Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

  • Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.
  • Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

  • Experience scaling out MLE teams as tech lead or manager preferred.

  • Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

CONTACT

Tim Jonas
He/Him

Business Manager

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