Senior ML Engineer: Scale Real-Time ML Systems (Remote)

North Eastern Services; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Fusemachines in a remote, full-time role is hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance ML systems powering our technology stack. You will work across the full ML lifecycle—from processing massive data volumes to developing and deploying low-latency models.

You must bring a strong hybrid skill set: applied ML excellence and production-grade software engineering.

Qualifications

• 5–8+ years of experience in ML/Software Eng roles focusing on ML systems.
• Strong Python and software engineering fundamentals (OOP, data structures).
• Experience deploying ML models to production with low latency.
• Experience with distributed computing (Spark, Kafka, Flink) and big data.

Responsibilities

• Scale data pipelines and feature engineering for large-scale datasets.
• Develop production-grade ML models with PyTorch/TensorFlow.
• Deploy and maintain ML systems with MLOps pipelines.
• Evaluate models with rigorous A/B tests and offline metrics.

Skills

Python

Object-oriented design

C++

Java

Scala

Go

Rust

PyTorch

TensorFlow

Tools

PyTorch

TensorFlow

ONNX

TensorRT

Spark

Kafka

Job description

Fusemachines in a remote, full-time role is hiring a Senior Machine Learning Engineer to architect, build, and deploy high-performance ML systems powering our technology stack. You will work across the full ML lifecycle—from processing massive data volumes to developing and deploying low-latency models.

You must bring a strong hybrid skill set: applied ML excellence and production-grade software engineering.