Real-Time ML Engineer – AWS, Low-Latency Inference

TWG AI; Santa Monica (CA); On-site; USD 190,000 - 290,000; Full time

Job summary

TWG AI is seeking a Senior ML Engineer for AWS and Real-Time Inference to own streaming pipelines, low-latency scoring, and model retraining cadence for live trading data. The role emphasizes productionizing features with data science collaboration and expertise in AWS, Go, and Python.

The position is onsite in Santa Monica, CA or New York, NY, with base compensation in the advertised range and a comprehensive benefits package.

Qualifications

• Strong data/ML engineering experience with streaming systems (e.g., Kafka / Kinesis / MSK) and modern data storage formats.
• Experience building low-latency, high-throughput inference services.
• Proficiency in a systems language (e.g., Go) alongside Python.
• Production AWS experience.
• Familiarity with financial market data or trading protocols a plus.

Responsibilities

• Streaming and storage pipelines that feed both model training and low-latency inference.
• The online inference path and its latency; connect real-time detector microservice to run-time model and maintain latency under live load.
• The model retraining cadence as data and labels accumulate, including drift-triggered retraining.
• Productionizing new features and detectors on the fast path, in partnership with data science.

Skills

Streaming systems

Low-latency inference

Go

Python

AWS

Trading data familiarity

Tools

Kafka

Kinesis

MSK

Job description

TWG AI is seeking a Senior ML Engineer for AWS and Real-Time Inference to own streaming pipelines, low-latency scoring, and model retraining cadence for live trading data. The role emphasizes productionizing features with data science collaboration and expertise in AWS, Go, and Python.

The position is onsite in Santa Monica, CA or New York, NY, with base compensation in the advertised range and a comprehensive benefits package.