Data Entry |Remote|; Engineering Manager

Engineering Manager – AI Stage Organization

Company: Netflix Location: Sacramento, USA Compensation: $28/hour Education: Bachelor’s Degree

Netflix is a global entertainment platform and the AI Stage organization is dedicated to building an adaptable, ML foundation that accelerates innovation across product areas. The Information and Component Foundation group leads the development of infrastructural and component services that empower ML engineers to quickly define, train, and serve models.

The Engineering Manager will lead a growing team of ML professionals, ensuring that they have the skills, context, and resources needed to build a cutting‑edge, algorithm‑agnostic inference stage and cloud‑native data sharing platform. The role requires strong leadership, a deep understanding of ML fundamentals, and a proven ability to drive high‑visibility projects.

Understanding the media business and its technology innovations is essential. You will lead by setting a motivating tone, collaborating across business and technical teams, making strategic decisions that focus on high‑impact projects, guiding your team’s direction, and fostering a high‑performance culture.

• Own the architecture, design, and delivery of the inference stage and storage services.

• Mentor and grow ML engineers, ensuring they can prototype and test definitions with ease.

• Build unified data stores for cross‑domain dataset sharing across Netflix.

• Drive high‑profile, visible projects and deliver a premier client experience for ML prerequisites.

• Experience driving a large‑scope ML foundation team
• Exceptional relationship building abilities with high capacity for appreciation
• Strong in giving and receiving feedback, encouraging novel thoughts, and engaging others without micromanagement
• Adaptable and self‑aware of personal growth opportunities
• Recognized for modesty and high‑grade ability in collaborating with peers

• ML professional pioneer or individual supporter with end‑to‑end ML capabilities for a product space
• History of building contributions for ML analysts, specialists, or research roles
• Comfortable with trial‑and‑error, A/B testing, and hypothesis‑driven experimentation
• Experience building large‑scale services on a public cloud (AWS) and knowledge of Scala and Python
• Experience with Flink, Kafka, or similar streaming/ batch processing frameworks

Netflix is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.