Production ML Engineer: Build Scalable ML Systems

Blue Signal Search; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Life insurance

401(k) match

Job summary

Blue Signal Search is seeking an ML Engineer to bridge machine learning and software engineering, building a production foundation for deploying, evaluating, monitoring, and improving models. You will own the ML lifecycle, solve infrastructure challenges, and help shape how advanced AI capabilities reach production.

The role emphasizes dependable production foundations, scalable model serving, automated workflows, and visibility into model health, with equity and comprehensive benefits in a

Qualifications

• Strong software engineering fundamentals for production-grade systems.
• Hands-on experience with ML infrastructure and production ML workflows.
• Experience with model serving, evaluation, or data pipelines.
• Knowledge of distributed computing, fault tolerance, and scalable design.
• Ability to write clean, maintainable code for long-term production use.
• Familiarity with Python and ML frameworks like PyTorch or JAX.

Responsibilities

• Engineer dependable production foundations for ML workloads from development to deployment.
• Create scalable model execution services with latency and throughput goals.
• Develop automated workflows for data prep, validation, releases, and iteration.
• Establish evaluation frameworks to monitor model behavior and regressions.
• Implement monitoring to visualize health and performance of production ML workloads.
• Identify bottlenecks and improve performance across the pipeline.

Skills

Production-grade systems

Python

Distributed computing

Troubleshooting

Code quality

Ownership

Tools

PyTorch

JAX

Job description

Blue Signal Search is seeking an ML Engineer to bridge machine learning and software engineering, building a production foundation for deploying, evaluating, monitoring, and improving models. You will own the ML lifecycle, solve infrastructure challenges, and help shape how advanced AI capabilities reach production.

The role emphasizes dependable production foundations, scalable model serving, automated workflows, and visibility into model health, with equity and comprehensive benefits in a