ZipRecruiter

Log In

2

Entry Level Nvidia Machine Learning Jobs (NOW HIRING)

Nvidia

Senior Applied Research Scientist

Santa Clara, CA · On-site

$115K - $147K/yr

NVIDIA is building an outstanding team to invent the future of foundation models for life sciences ... Designing and training large-scale machine learning models at the intersection of genomics ...

SynergisticIT

Machine Learning Engineer

Mount Pleasant, SC · On-site

$109K - $131K/yr

For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines ...

next page

Showing results 1-20

All JobsNvidia Machine Learning JobsEntry Level Nvidia Machine Learning Jobs

Entry Level Nvidia Machine Learning information

See salary details

$12

$17

$21

How much do entry level nvidia machine learning jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for entry level nvidia machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
More about Entry Level Nvidia Machine Learning jobs
What cities are hiring for Entry Level Nvidia Machine Learning jobs? Cities with the most Entry Level Nvidia Machine Learning job openings:
What are the most commonly searched types of Nvidia Machine Learning jobs? The most popular types of Nvidia Machine Learning jobs are:
What states have the most Entry Level Nvidia Machine Learning jobs? States with the most job openings for Entry Level Nvidia Machine Learning jobs include:
What job categories do people searching Entry Level Nvidia Machine Learning jobs look for? The top searched job categories for Entry Level Nvidia Machine Learning jobs are:
Entry Level Nvidia Machine Learning jobs near you
Infographic showing various Entry Level Nvidia Machine Learning job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
AI Safety Engineer supporting Nvidia

AI Safety Engineer supporting Nvidia

Sustainable Talent

Remote

Full-time

Posted 2 days ago

New

Job description

Job Summary:
Sustainable Talent is partnering with Nvidia, a global leader in computer graphics and accelerated computing. They are seeking a Machine Learning Engineer focused on AI Safety to work with NVIDIA’s research and engineering teams, assessing and improving the safety and inclusivity of LLM models.
Responsibilities:
• Develop datasets and moderator models for evaluating LLM models and end-to-end systems for Content Safety, ML Fairness. These LLM models can be txt-to-txt or multimodal-to-txt.
• Develop datasets for training LLM models with SFT and RL techniques, for Content Safety, ML Fairness, Security and more.
• Research and implement cutting-edge techniques for bias detection and mitigation in LLMs and systems.
• Define and track key metrics for responsible LLM behavior and usage.
• Follow the best practices of automation, monitoring, scale, safety.
• Contribute to our repositories and develop safety tools to help ML teams be more effective.
• Data pre-processing and analysis: Collaborate with data scientists and data engineers to collect, clean, pre-process, and transform large and wide datasets.
• Conduct exploratory data analysis (EDA) to uncover insights and identify patterns that boost the model performance.
• Collaborate with multidisciplinary teams: Collaborate with product engineers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.
Qualifications:
Required:
• Bachelor’s or Master’s Degree in Computer Science or related field or equivalent experience.
• 2+ years of work experience as a Machine Learning Engineer or Deep Learning Scientist or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy and pandas.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Good at problem solving and analytical ability.
• Excellent collaboration and communication skills.
Preferred:
• Experience with GenAI Security including Prompt Injection Stability, Model Extraction, Confidentiality/Data Extraction, Integrity, Availability and Adversarial Robustness.
• Experience with one or more of the following areas within Content Safety: Hate/Harassment, Sexualized, Harmful/Violent, or other specific areas from your application.
• Experience with alignment/fine-tuning of LLMs - including regular LLMs as well as VLMs (Vision Language Model) or any-to-text.
• Experience with multimodal and/or multilingual Content Safety, legal and regulatory compliance.
• Passion for AI and a demonstrated commitment to advancing the field through innovative research, prior scientific research and publication experience.
Company:
Sustainable Talent provides staffing, consulting and outsourcing services. Founded in 2009, the company is headquartered in Wayne, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply