Remote ML Platform Manager — Real-Time Inference

Tala; United States; Remote; USD 170,000 - 210,000; Full time

Job summary

Tala is seeking a Manager, Machine Learning Engineering to lead Tala’s ML Platform team and scale production ML systems for real-time inference and batch processing. You will hire, coach, and grow a team of 4–6 engineers, shaping architecture, reliability, and developer-friendly platforms used by data scientists and analysts worldwide.

You’ll own quarterly goals, coordinate with product and data teams, and drive engineering practices around testing, observability, and incident response in a

Qualifications

• 2+ years directly managing engineers, including hiring, performance management, coaching, and career development.
• 6+ years backend software engineering experience in consumer-scale applications.
• 3+ years hands-on Python experience and production ML/causal inference systems.

Responsibilities

• Lead and grow a team of 4-6 Machine Learning Engineers across mid-to-senior levels.
• Own quarterly goals and drive delivery across roadmap and operations.
• Provide technical leadership for ML platforms, real-time inference, and batch processing.
• Partner with Data Science, Data Platform, and Product teams to translate needs into scalable ML platform solutions.

Skills

Management

Hiring

Performance management

Delivery leadership

Stakeholder collaboration

Tools

Python

SQL

TensorFlow

PyTorch

Kubernetes

Docker

Airflow

Kafka

Job description

Tala is seeking a Manager, Machine Learning Engineering to lead Tala’s ML Platform team and scale production ML systems for real-time inference and batch processing. You will hire, coach, and grow a team of 4–6 engineers, shaping architecture, reliability, and developer-friendly platforms used by data scientists and analysts worldwide.

You’ll own quarterly goals, coordinate with product and data teams, and drive engineering practices around testing, observability, and incident response in a