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Home Based Nvidia Machine Learning Jobs (NOW HIRING)

Lightspeed

AI & Machine Learning Engineer

Northbrook, IL · On-site

$100 - $130/hr

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... with ROS2-based robot control for real‑time inference * Optimize models for NVIDIA Jetson ...

Jobzhr

Machine Learning Engineer, AI Safety

Santa Clara, CA · On-site

$124 - $196/hr

... Full time NVIDIA is in a unique position: we are developing AI-based products across multiple ... We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety ...

Jobzhr

$124 - $196/hr

... Full time NVIDIA is in a unique position: we are developing AI-based products across multiple ... We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety ...

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$130K - $150K/yr

Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools. Model Deployment & Optimization * Optimize, quantize, and deploy machine learning models using ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

Nvidia

$98K - $125K/yr

At NVIDIA, we are using accelerated computing and machine learning to create a new generation of AI ... Your base salary will be determined based on your location, experience, and the pay of employees in ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

$150K - $200K/yr

Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable ... We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA ...

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Home Based Nvidia Machine Learning jobs near you
Infographic showing various Home Based Nvidia Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 14% Part Time, and 7% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Machine Learning Research Scientist

Autoscience Institute

Menlo Park, CA • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Autoscience Institute is focused on creating AI systems that autonomously conduct research, recently achieving a significant milestone with the first AI agent to create peer-reviewed literature. They are seeking a Machine Learning Research Scientist to develop autonomous research systems and collaborate with the engineering team to deploy production-ready solutions.
Responsibilities:
• Work directly with the founder to develop autonomous research systems that ideate, experiment, and improve customer models.
• Collaborate with the engineering team to build and deploy production-ready research systems.
• RL post-train and fine-tune reasoning models to automate components of the machine learning research process.
• Stay current with the latest developments in AI research and automation.
Qualifications:
Required:
• Education: PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Exceptional candidates with strong research contributions are encouraged to apply regardless of formal degree.
• Research: Publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, etc) or equivalent industry experience at corporate AI research labs (Microsoft, Google, Nvidia, TRI etc).
• Technical: Expertise in training machine learning models, including deep learning, reinforcement learning or genetic algorithms. This does not include building multi-agent systems using LLM APIs or building RAG-based agents.
• Curiosity: Passion for accelerating scientific discovery through AI and willingness to explore uncharted directions with minimal supervision.
Preferred:
• Experience building scalable and production-ready machine learning pipelines or large-scale model training (distributed model training over >64 GPUs).
• Any background or proven interested in Automated Scientific Research is a plus.
Company:
We build AI systems that autonomously conduct AI research. Founded in 2024, the company is headquartered in San Mateo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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