Senior ML Engineer - Onsite Fremont, High-Impact Systems

Perfict Global; Fremont (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

Tesla is seeking a Machine Learning Engineer in Fremont, CA, onsite. The role involves translating complex business problems into ML solutions, building end-to-end ML pipelines, and handling multimodal data.

You will collaborate with cross-functional teams to deploy and monitor models in production, optimizing for performance and scalability. Strong foundations in ML theory and hands-on with PyTorch/TensorFlow are required.

Qualifications

• Proficiency in Python and C++ for ML development and integration.

Responsibilities

• Translate ambiguous problems into ML solutions.
• Build end-to-end ML pipelines using PyTorch/TensorFlow and Pandas.
• Handle multimodal data including images, sensor outputs, voice, text, and tabular data.
• Collaborate with production, process, controls, and quality teams to integrate ML solutions.
• Deploy, monitor, and maintain models with alerting systems.

Skills

Python

C++

ML theory

Model deployment

Data preprocessing

Data analysis

Tools

PyTorch

TensorFlow

Pandas

TensorRT

Job description

Tesla is seeking a Machine Learning Engineer in Fremont, CA, onsite. The role involves translating complex business problems into ML solutions, building end-to-end ML pipelines, and handling multimodal data.

You will collaborate with cross-functional teams to deploy and monitor models in production, optimizing for performance and scalability. Strong foundations in ML theory and hands-on with PyTorch/TensorFlow are required.