Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... to end, from model handoff through deployment and monitoring • Strong experience building and ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their ... to end, from model handoff through deployment and monitoring • Strong experience building and ...
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...
Machine Learning Engineer
New York, NY · On-site
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...
Machine Learning Engineer
New York, NY · On-site
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team. This role will apply the latest AI technologies to solve various real-world problems and streamline day ...
Machine Learning Engineer
New York, NY · On-site
$160K - $210K/yr
About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...
Machine Learning Engineer
New York, NY · On-site
$160K - $210K/yr
About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Our hybrid model blends time together in our New York office with work-from-home days, giving you ...
Machine Learning Engineer
New York, NY · On-site
Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who ... Our hybrid model blends time together in our New York office with work-from-home days, giving you ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $150/hr
About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $150/hr
About the role We are seeking a Machine Learning Engineer to strengthen our element classification ... Flexible vacation and work from home days. * Competitive salary and meaningful equity. * Health ...
Machine Learning
Manhattan, NY · On-site
They are seeking a Machine Learning professional capable of tackling research problems with ... Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011 ...
Machine Learning
Manhattan, NY · On-site
They are seeking a Machine Learning professional capable of tackling research problems with ... Veterinary, Engineering, Operations, Sales, Quality, HR, and Finance positions. Founded in 2011 ...
Machine Learning Engineer
Manhattan, NY · On-site
$110 - $150/hr
We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to ...
Machine Learning Engineer
Manhattan, NY · On-site
$110 - $150/hr
We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... You will own the end‑to‑end ML lifecycle, from dataset creation and foundational research to ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical ... from concept to production * A strong mathematical background; Good candidates will be excited ...
Machine Learning Engineer
New York, NY · On-site
We are looking for an engineer with robust experience in machine learning and strong mathematical ... from concept to production * A strong mathematical background; Good candidates will be excited ...
We are looking for an engineer with robust experience in machine learning and strong mathematical ... from concept to production * A strong mathematical background; Good candidates will be excited ...
We are looking for an engineer with robust experience in machine learning and strong mathematical ... from concept to production * A strong mathematical background; Good candidates will be excited ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
Machine Learning Engineer
Manhattan, NY · On-site
They are seeking Machine Learning Engineers to develop their platform for training, evaluating, and deploying interpretable AI systems at scale, contributing to various aspects such as ...
Machine Learning Engineer
Manhattan, NY · On-site
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 ...
Machine Learning Engineer
Manhattan, NY · On-site
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 ...
Machine Learning Engineer
Manhattan, NY · On-site
$150 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
Manhattan, NY · On-site
$150 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
... ML lifecycle-from data preparation and model development to deployment and optimization across ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
... ML lifecycle-from data preparation and model development to deployment and optimization across ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
... ML lifecycle-from data preparation and model development to deployment and optimization across ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
... ML lifecycle-from data preparation and model development to deployment and optimization across ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
Machine Learning Engineer
Manhattan, NY · On-site
$140 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
Manhattan, NY · On-site
$140 - $190/hr
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $180/hr
Description Machine Learning Engineer Location: US / Canada (Eastern Time) - Home-based Job Type ... The candidate enjoys optimizing data systems and building them from the ground up. The Machine ...
Machine Learning Engineer
Manhattan, NY · On-site
$120 - $180/hr
Description Machine Learning Engineer Location: US / Canada (Eastern Time) - Home-based Job Type ... The candidate enjoys optimizing data systems and building them from the ground up. The Machine ...
... from data preparation and model development to deployment and optimization across cloud and mobile ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
Quick apply
... from data preparation and model development to deployment and optimization across cloud and mobile ... vision and machine learning challenges. * Partner with talented engineering teams to move AI ...
Machine Learning Engineer
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
Machine Learning Engineer
New York, NY · On-site
Our team is a passionate mix of engineers across electrical, firmware, software, and machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train deep learning ...
We believe the only way to achieve our goals is to look at the entire stack, from transistors ... compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute ...
We believe the only way to achieve our goals is to look at the entire stack, from transistors ... compiler, machine learning algorithms and software, firmware and ASIC experts. You will contribute ...
From Home Machine Learning Compiler Engineer information
What is the difference between From Home Machine Learning Compiler Engineer vs From Home Data Scientist?
| Aspect | From Home Machine Learning Compiler Engineer | From Home Data Scientist |
|---|---|---|
| Required Skills | Programming (C++, Python), compiler design, ML frameworks | Statistics, data analysis, programming (Python, R), visualization |
| Work Environment | Remote, software development teams, tech companies | Remote, analytics teams, research institutions |
| Industry Usage | Tech, AI, hardware optimization | Tech, finance, healthcare, research |
While both roles often work remotely and require programming skills, the Machine Learning Compiler Engineer focuses on developing and optimizing compilers for ML models, whereas the Data Scientist analyzes data to generate insights. They serve different functions within tech and research industries but may collaborate on AI projects.
What are the most commonly searched types of Machine Learning Compiler Engineer jobs in New York? The most popular types of Machine Learning Compiler Engineer jobs in New York are:
What are popular job titles related to From Home Machine Learning Compiler Engineer jobs in New York? For From Home Machine Learning Compiler Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching From Home Machine Learning Compiler Engineer jobs in New York look for? The top searched job categories for From Home Machine Learning Compiler Engineer jobs in New York are:
Full-time
Re-posted 15 days ago
Job description
Job Summary:
ExaCare AI is a leading health tech company aiming to build the AI operating system for post-acute care. They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable production systems.
Responsibilities:
• Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
• Partner with researchers and ML practitioners to productionize models and enable faster iteration
• Design, build, and improve data pipelines and training pipelines
• Improve data processing, annotation workflows, and ML system efficiency
• Deploy and maintain the background systems that support model training and inference
• Build tooling and processes for monitoring model performance, system reliability, and operational health
• Improve the scalability, observability, and reproducibility of ML systems
• Optimize ML infrastructure for speed, reliability, and cost-efficiency
• Identify bottlenecks in the ML workflow and automate or streamline manual processes
• Help establish best practices around ML operations, deployment, and system performance
Qualifications:
Required:
• Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments
• Experience supporting ML systems end to end, from model handoff through deployment and monitoring
• Strong experience building and owning data pipelines, training pipelines, or other production workflows that support ML
• Experience working closely with researchers, data scientists, or ML practitioners to productionize models
• Strong software engineering fundamentals and experience building production systems
• Experience with monitoring, debugging, and improving production ML or data systems
• A track record of improving reliability, scalability, speed, and/or cost efficiency in ML systems
• Comfort operating in a fast-moving, startup-style environment with a high degree of ownership
Company:
Exacare ai is the leading AI platform for post-acute care, helping teams accelerate admissions decisions and maximize reimbursement Founded in 2022, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.
ExaCare AI is a leading health tech company aiming to build the AI operating system for post-acute care. They are seeking a Machine Learning Engineer focused on MLOps to operationalize and scale their machine learning systems, working closely with research-oriented teammates to create reliable production systems.
Responsibilities:
• Build and maintain the workflows and infrastructure that support the end-to-end ML lifecycle
• Partner with researchers and ML practitioners to productionize models and enable faster iteration
• Design, build, and improve data pipelines and training pipelines
• Improve data processing, annotation workflows, and ML system efficiency
• Deploy and maintain the background systems that support model training and inference
• Build tooling and processes for monitoring model performance, system reliability, and operational health
• Improve the scalability, observability, and reproducibility of ML systems
• Optimize ML infrastructure for speed, reliability, and cost-efficiency
• Identify bottlenecks in the ML workflow and automate or streamline manual processes
• Help establish best practices around ML operations, deployment, and system performance
Qualifications:
Required:
• Proven (3+ years) of experience in machine learning engineering, MLOps, ML infrastructure, data engineering, or backend/platform engineering in ML environments
• Experience supporting ML systems end to end, from model handoff through deployment and monitoring
• Strong experience building and owning data pipelines, training pipelines, or other production workflows that support ML
• Experience working closely with researchers, data scientists, or ML practitioners to productionize models
• Strong software engineering fundamentals and experience building production systems
• Experience with monitoring, debugging, and improving production ML or data systems
• A track record of improving reliability, scalability, speed, and/or cost efficiency in ML systems
• Comfort operating in a fast-moving, startup-style environment with a high degree of ownership
Company:
Exacare ai is the leading AI platform for post-acute care, helping teams accelerate admissions decisions and maximize reimbursement Founded in 2022, the company is headquartered in New York, USA, with a team of 51-200 employees. The company is currently Growth Stage.