Senior ML Engineer: Production-Ready Models on GCP

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); On-site; USD 170,000 - 210,000; Full time

Job summary

Machine Learning Technologies LLC in San Jose, CA seeks a Senior Machine Learning Engineer to own the end-to-end ML model lifecycle, from post-training to production. This role operates in a fast-moving hybrid cloud environment, collaborating with ML researchers, production engineers, and platform teams.

You will benchmark frameworks, deploy models to GCP, and own deployment automation end-to-end while monitoring production performance and quality.

Qualifications

• Strong foundation in ML inference, deployment, and quality testing.
• Demonstrated ability to ramp up quickly on new and unfamiliar tech stacks.
• End-to-end problem-solving mindset from model handoff to user-facing behavior.
• Core ML knowledge sufficient to benchmark models and collaborate with researchers.
• Experience deploying models in cloud environments, ideally GCP.

Responsibilities

• Evaluate and benchmark new ML inference frameworks to guide production decisions.
• Deploy models to GCP and integrate them into production applications and Java-based streaming pipelines.
• Own deployment automation end-to-end — from model handoff through live serving.
• Monitor how models behave in production for real end-users Performance & Quality.
• Design and execute benchmarking, performance testing, and quality testing on ML models.
• Perform model sampling to support quality evaluation and researcher feedback loops.
• Debug issues across the full stack — from inference layer down to streaming pipelines Cross-functional Collaboration.
• Partner with ML researchers to provide benchmarking feedback and guide inference decisions — requires enough core ML knowledge to have a meaningful technical handshake.
• Adapt rapidly to non-standard and evolving tech stacks across hybrid (on-prem + GCP) infrastructure Technical Stack.

Skills

ML inference

Deployment

Quality testing

Cloud (GCP)

End-to-end problem-solving

Benchmarking

Collaboration with researchers

Java pipelines

Tools

TensorFlow

PyTorch

JAX

Java

Job description

Machine Learning Technologies LLC in San Jose, CA seeks a Senior Machine Learning Engineer to own the end-to-end ML model lifecycle, from post-training to production. This role operates in a fast-moving hybrid cloud environment, collaborating with ML researchers, production engineers, and platform teams.

You will benchmark frameworks, deploy models to GCP, and own deployment automation end-to-end while monitoring production performance and quality.