Lead Machine Learning Engineer

November 12

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Zeta Global

WebsiteLinkedInAll Job Openings

CRM • Email Marketing • Display Advertising • Cross-Channel Marketing • Social Media Marketing

1001 - 5000 employees

Founded 2007

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

🔥 Funding within the last year

💰 Post-IPO Debt on 2024-09

Description

• As a Lead Machine Learning Engineer at Zeta Global, you will play a vital role in developing and implementing scalable machine learning systems that support next-generation AI capabilities. • Working closely with cross-functional teams, you will leverage the latest generative AI models and APIs, deep learning frameworks, and software engineering best practices to build robust solutions for text and image generation. • Use Python and industry-standard ML tools to design, build, and deploy machine learning models efficiently and at scale, with a focus on deep learning and advanced frameworks like PyTorch and libraries for generative AI (e.g., LangChain). • Apply strong software engineering fundamentals, including best practices for code quality, modular design, version control, and testing, to create scalable, maintainable solutions in production environments. • Partner with data scientists, researchers, engineers, and product teams to integrate advanced ML capabilities seamlessly into products, driving innovation and enhancing user experience. • Continuously track and refine model performance in production, implementing improvements to align with evolving business needs. • Engage with the latest advancements in ML, generative AI, and software engineering, proactively applying relevant insights to ongoing projects.

Requirements

• Bachelor’s in computer science or a related field (Master’s is a plus) OR 5+ years of proven experience as ML Engineer in a professional setting. • Proven software engineering experience, including an in-depth understanding of principles for developing large-scale systems and best practices for software development. • Experience with containerization: Docker & Kubernetes. • Experience with AWS cloud services like EKS, ECS, EMR, Lambda, and others. • Extensive experience with Python and Python-based ML tools and frameworks, including expertise in deep learning libraries such as PyTorch and familiarity with generative AI APIs from OpenAI, Anthropic. • Strong understanding of data manipulation and transformation techniques, including SQL, Pandas, or Spark. • Proven experience in applying statistical analysis, machine learning, and data mining techniques to real-world problems. • Experience working collaboratively within cross-functional teams to bring complex ML-based features to production. • Excellent communication skills, with the ability to articulate technical solutions to both technical and non-technical audiences. • Experience in personalization, ad-tech, or mar-tech is a plus.

Benefits

• Unlimited PTO • Excellent medical, dental, and vision coverage • Employee Equity and Stock Purchase Plan • Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!