# Senior ML Engineer, Metropolis

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-ML-Engineer--Metropolis_JR2023124?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f73bc9ff-4d1

## Description

As a Senior ML Engineer at NVIDIA, you will be part of a team harnessing the boundless capabilities of AI to build the next era of computing.

Your responsibilities will include:

- Finding areas where Cosmos models underperform or lack capability and recommending new solutions

- Partnering with the Cosmos team to identify and prioritize new platform features

- Leading the open-sourcing of solutions and research artifacts developed by the team

- Staying current with the latest advances in foundation models, generative architectures, and training methodologies

- Partnering multi-functionally with various teams to drive alignment and unblock execution

To be successful in this role, you will need:

- MSc or PhD in Computer Science, Electrical Engineering, or a related field

- 8+ years of proven experience in applied machine learning or AI research

- Deep expertise in deep learning fundamentals, with hands-on experience in diffusion models and generative architectures

- Experience in pre-training or refining large language models, vision-language models, or world foundation models

- Experience working with large-scale foundation models, including training workflows, fine-tuning techniques, and evaluation approaches

- Experience working with simulation environments like Isaac Sim or similar platforms

Benefits include a competitive salary package, equity, and benefits.

## Skills

### Required
- Machine Learning
- Deep Learning
- Generative Architectures
- Large Language Models
- Simulation Environments

### Nice to have
- Model Compression
- Quantization
- Real-time Inference Optimization
- AI Solutions in Physical Settings
- Distributed Infrastructure

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Senior-ML-Engineer--Metropolis_JR2023124?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)