Senior ML Platform Engineer - Production Systems (Remote)

Invoca; San Francisco (CA); A distancia; USD 152.000 - 228.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible Time Off

Paid Holidays

Health Benefits

Retirement (401k)

Stock Options

Mental Health Program

Paid Family Leave

Paid Medical Leave

InVacation

Wellness Subsidy

Position Base Range

Descripción de la vacante

Invoca, a leading AI-powered revenue execution platform, is seeking a Senior ML Engineer to own the production ML stack. You will build and maintain end-to-end ML serving, from training pipelines to scalable inference APIs, collaborating with product teams to ship intelligent features.

You will optimize latency and throughput using modern infrastructure (Triton, Baseten, vLLM) and apply advanced fine-tuning techniques (LoRA/QLoRA/PEFT) to NLP models, ensuring reliability as usage scales and

Formación

• 5+ years of ML Engineering with production focus.
• Advanced Python and DL proficiency (PyTorch, Transformers).
• Experience deploying transformer NLP models in production.
• Fine-tuning SLMs/LLMs (LoRA, QLoRA, PEFT) and throughput tuning.
• Experience with inference infra (Triton, Baseten, vLLM, SageMaker, Vertex AI).
• Experience building production-grade ML APIs and MLOps tooling.

Responsabilidades

• Architect and maintain CI/CD pipelines for ML artifacts.
• Own inference infrastructure end-to-end and optimize latency/throughput.
• Collaborate with Data Scientists and Engineers to ship AI features.
• Contribute to model training infra and data pipelines.
• Monitor and improve model performance and cost in production.

Conocimientos

Production ML

Python

Deep learning

Transformer NLP

Inference infra

MLOps

RLHF

CS/Statistics

Educación

B.S. in Computer Science/Engineering/Statistics

Herramientas

Triton

Baseten

vLLM

TGI

SageMaker

Vertex AI

MLflow

Descripción del empleo

Invoca, a leading AI-powered revenue execution platform, is seeking a Senior ML Engineer to own the production ML stack. You will build and maintain end-to-end ML serving, from training pipelines to scalable inference APIs, collaborating with product teams to ship intelligent features.

You will optimize latency and throughput using modern infrastructure (Triton, Baseten, vLLM) and apply advanced fine-tuning techniques (LoRA/QLoRA/PEFT) to NLP models, ensuring reliability as usage scales and