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No Experience Nvidia Machine Learning Jobs in New York

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build ... Experience with NVIDIA GPU programming and CUDA * Experience with distributed training frameworks ...

Master's degree in Computer Science, Engineering, Information Systems, or related field. * 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

About the Position Our goals are to give you a real sense of what it's like to work at Jane Street as a Machine Learning Engineer while also providing a truly unparalleled educational experience. You ...

Proven experience as a Machine Learning Engineer or similar role * Understanding of data structures, data modelling and software architecture * Deep knowledge of math, probability, statistics and ...

Machine Learning Engineer

Manhattan, NY · On-site

$170.17 - $255.26/hr

Build product systems that enhance Spotify listeners' experience using machine learning techniques * Develop machine learning & deep learning models using Python, including data preprocessing ...

Machine Learning Compiler

New York, NY · On-site

$140K - $211K/yr

Preferred Qualifications: • Master's degree in Computer Science, Engineering, Information Systems, or related field. • 1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow ...

Minimum of 2 years of experience in a data science role. Proficiency in programming languages such as Python or R.. Strong understanding of machine learning techniques and algorithms. Preferred ...

Master's degree in Computer Science, Engineering, Information Systems, or related field.1+ year of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).1+ ...

Experience with sequential modeling and time series forecasting using deep learning * Experience ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

REQUIREMENTS Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years ...

Experience with sequential modeling and time series forecasting using deep learning * Experience ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Requires a bachelor's degree in computer science, engineering, data science or machine learning plus 2 years of experience as a machine learning engineer. Must also possess: 2 years building ...

# Machine Learning ResearcherApply For This Role## About The RoleThe Machine Learning Researcher will ... Strong publication record or vast experience deploying models to production.* Expertise in PyTorch ...

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No Experience Nvidia Machine Learning information

What is the difference between No Experience Nvidia Machine Learning vs Data Analyst?

AspectNo Experience Nvidia Machine LearningData Analyst
Required CredentialsBasic understanding of machine learning concepts, no certifications neededDegree in statistics, mathematics, or related field; certifications optional
Work EnvironmentTech companies, AI research labs, or startups focusing on AI/ML projectsBusiness, finance, healthcare, or marketing sectors analyzing data for insights
Employer & Industry UsageUsed in AI/ML development teams, often entry-level roles in tech industryUsed across various industries for data-driven decision making

While No Experience Nvidia Machine Learning roles focus on entry-level understanding of AI and machine learning with minimal credentials, Data Analyst positions emphasize data interpretation skills often requiring a degree. Both roles are prevalent in tech and business sectors, but they serve different functions: AI development versus data insights.

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The most popular types of Nvidia Machine Learning jobs in New York are:

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Cities in New York with the most No Experience Nvidia Machine Learning job openings:

Machine Learning Researcher / Machine Learning Engineer

Anson McCade

Manhattan, NY • On-site

$200K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

$200,000 - 2,000,000 USD
Onsite WORKING
Location: New York, New York - United States Type: Permanent
ML Researcher / ML Engineer
I am working with one of the world's leading quantitative trading firms, recognised for combining cutting-edge technology, quantitative research, and machine learning to solve some of the most complex challenges in global financial markets. Renowned for its research-driven culture and engineering excellence, the firm continues to make significant investments in next-generation machine learning capabilities that directly enhance trading performance and business outcomes.
As part of the continued expansion of its Machine Learning platform, the firm is looking to hire exceptional Machine Learning Researchers and Machine Learning Engineers to join several high-performing teams working across large-scale machine learning, deep learning, distributed systems, and production ML infrastructure.
The Opportunity
This is an opportunity to work alongside some of the industry's leading researchers and engineers, developing advanced AI models and production-scale machine learning systems that are deployed directly into live trading environments.
Depending on your experience and interests, you may focus on areas including:
  • Large Language Models (LLMs)
  • Foundation model training and optimisation
  • Agentic AI systems
  • Applied machine learning research
  • Model evaluation and post-training optimisation
  • Distributed systems and AI infrastructure
You'll tackle challenging mathematical and engineering problems while building scalable, production-ready AI solutions in a highly collaborative and research-driven environment.
Requirements
Successful candidates will typically possess:
  • Strong experience in Machine Learning, Deep Learning, Large Language Models, AI Infrastructure, or Distributed Systems
  • Excellent programming skills in Python and/or C++
  • Experience developing and deploying production-grade machine learning systems
  • A strong mathematical foundation and exceptional problem-solving ability
  • A passion for solving technically demanding challenges in a fast-paced environment
Why Join?
This firm offers the opportunity to work on some of the most advanced AI and machine learning challenges in the financial industry, alongside world-class researchers, engineers, and quantitative professionals.
The compensation package is exceptionally competitive, with top performers receiving industry-leading total compensation, complemented by outstanding career progression, access to cutting-edge technology, and the opportunity to make a direct impact on live trading systems from day one.