Real-Time ML Inference Engineer for Scalable Serving

Yobi; New York (NY); Hybrid; USD 100,000 - 150,000; Full time

Benefits offered by this job

Competitive Base Salary

Meaningful equity

Annual performance bonus

Comprehensive health benefits

Unlimited PTO

401k with company match

Job summary

A Behavioral AI company is seeking a Machine Learning Engineer to design and optimize systems for bringing their models to life. The role involves ensuring ML models are efficient and reliable, requiring experience in model deployment and robust coding skills. Candidates should be familiar with low-latency techniques and operational maturity in ML systems. This position can be remote or hybrid from several hubs.

Qualifications

• Deep expertise in model deployment and scaling production ML serving systems.
• Understand low-latency model inference techniques.
• Robust coding skills in Go, Rust, C++, or Java.
• Experience in monitoring and observing models.

Responsibilities

• Design, optimize, and operate systems for Behavioral AI models.
• Package, version, and roll out ML models in production environments.
• Ensure models are fast, accurate, and accountable.

Skills

Model deployment

Low-latency optimization

High-performance coding in Go, Rust, C++, Java

Monitoring model drift

Infrastructure design

Applied ML understanding

Job description

A Behavioral AI company is seeking a Machine Learning Engineer to design and optimize systems for bringing their models to life. The role involves ensuring ML models are efficient and reliable, requiring experience in model deployment and robust coding skills. Candidates should be familiar with low-latency techniques and operational maturity in ML systems. This position can be remote or hybrid from several hubs.