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Home Based Nvidia Machine Learning Jobs in New York

... home cooks. Role and Responsibilities Design, train, and deploy machine learning and computer ... Preferred Qualifications Experience with embedded Linux, ARM-based platforms, or edge AI hardware.

RESPONSIBILITIES This role involves developing software and machine learning algorithms for use in ... Must also possess: 2 years building & deploying ML-based applications, including data curation and ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

Data-Informed Learning; Transparent & Open Communication; Growth Mindset; Championing Equality; Caring Teams & Communities. Your Role: As a Home Based Visitor for a Head Start/Early Head Start ...

We are a NYC-based startup funded by top investors. Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics ...

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Machine Learning Engineer Location: 55 Water Street, New York, NY 10041 (Telecommuting permitted ... We're the largest global resource for index-based concepts, data and research, and home to iconic ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Machine Learning Tutor

Paramus, NJ · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

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Home Based Nvidia Machine Learning information

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Machine Learning Engineer (Junior)

Pangram

New York, NY • On-site

$135K - $150K/yr

Full-time

Posted 2 days ago

New


Job description

Pangram Labs is hiring for a strong junior Machine Learning Engineer. In this role, you will build software to support the machine learning development cycle from data generation, to training models, to deployment and monitoring production machine learning systems in real customer environments.
At Pangram, ML engineers are highly involved in the research effort, are involved in publishing research, and regularly contribute ideas and innovations to the team. However, formal research experience is not necessary. This is an in-person role in our office in Downtown Brooklyn, NYC.
Responsibilities:
  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models
  • Manage distributed infrastructure for multi-GPU LLM training
  • Profiling and optimizing training and inference code
  • Deploy efficient inference pipelines for serving LLMs at scale

Requirements:
  • B.S. or M.S. in Computer Science or related areas
  • Practical experience with deep learning: internships, undergrad or masters' level research projects in an academic lab, Kaggle competitions, or interesting side projects
  • Strong programming skills in Python and modern ML frameworks
  • Excellent understanding of transformers and LLM fundamentals
  • Comfort working across research and engineering boundaries

Nice to have
  • Experience with NVIDIA GPU programming and CUDA
  • Experience with distributed training frameworks, such as DeepSpeed, FSDL, Ray
  • Experience with inference frameworks like vLLM
  • Experience with large-scale data processing (Spark, Beam) and orchestration (Airflow)
  • Experience with MLOps and experiment tracking
  • Experience with DevOps tools
  • Familiarity with cloud-based infrastructure (AWS/GCP)