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Machine Learning Engineer Two Jobs in New York (NOW HIRING)

They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

As a Machine Learning Engineer, you will play a critical role in shaping the future of cooking. Working on a small, high-impact team, you will have significant ownership over the strategy, research ...

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join our team. You will own the end‑to‑end ML lifecycle, from dataset creation and foundational ...

Lead Machine Learning Engineer (IC)

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

New York, NY · On-site +1

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

Manhattan, NY · On-site +1

$112K - $148K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

Lead Machine Learning Engineer

New York, NY · On-site

$112K - $147K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... At least 2 years of experience building, scaling, and optimizing ML systems Preferred ...

We are looking for an engineer with robust experience in machine learning and strong mathematical ... Today, we have more than 2,000 employees across five global offices. We trade... #J-18808-Ljbffr

As a Junior Machine Learning Engineer, the candidate will contribute to building and deploying ML ... Learn MLOps practices and contribute to model deployment workflows What you bring * 0-2 years of ...

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Machine Learning Engineer Two information

Are machine learning engineers still in demand?

Yes, machine learning engineers are in high demand across various industries due to the increasing adoption of AI and data-driven solutions. They are sought after for their skills in algorithms, programming, and tools like Python and TensorFlow, with job growth expected to continue as AI applications expand.

Machine Learning Engineer

Goodfire

Manhattan, NY • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
Goodfire is a research company focused on understanding and designing AI systems. They are seeking Machine Learning Engineers to build a platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to the development of core technology and product features.
Responsibilities:
• Turn cutting edge interpretability research into production ready tools.
• Optimize pipelines and infrastructure for frontier model interpretability, training, and inference.
• Integrate new machine learning workflows and pipelines into our product and deploy to customers.
• Ensure system reliability, reproducibility, and performance.
Qualifications:
Required:
• 5+ years of experience in ML infra, research engineering, or systems programming.
• Comfort working across research and engineering boundaries.
• Expertise in Python, PyTorch or Jax, and distributed systems.
• Experience deploying and maintaining ML systems at scale.
• You care about understanding how models work internally and using that to make them more reliable and useful in the real world.
Preferred:
• Open-source ML infra contributions.
• Startup or frontier lab experience in fast-moving teams.
Company:
Goodfire is an AI research lab using interpretability to turn AI into something that can be understood, debugged, and shaped like software Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.