Remote Machine Learning Engineer Jersey City, NJ, United States About the Job We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning ...
Remote Machine Learning Engineer Jersey City, NJ, United States About the Job We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning ...
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At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2LI-REMOTE
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
Jersey City, NJ · Remote
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Yonkers, NY · Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
Paterson, NJ · Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
Stamford, CT · Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
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New Brunswick, NJ · Remote
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Machine Learning Engineer New Grad 2024-2025 -Remote
Manhattan, NY · Remote
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2LI-REMOTE
Machine Learning Engineer New Grad 2024-2025 -Remote
Manhattan, NY · Remote
$139K - $168K/yr
At Poe, we use Machine Learning in various parts of the product - bot routing, agent flow, code ... LI-SS2LI-REMOTE
Senior Machine Learning Engineer
Manhattan, NY · On-site +1
$150K - $180K/yr
Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking ...
Senior Machine Learning Engineer
Manhattan, NY · On-site +1
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Remote (For Non-Local) or Hybrid (Local to NYC area) Position Summary: Join our mission to infuse cutting-edge AI/ML/GenAI into pharmacy benefits as a Senior Machine Learning Engineer. We are looking ...
Remote Director Machine Learning information
What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?
| Aspect | Remote Director Machine Learning | Remote Data Science Manager |
|---|---|---|
| Required Credentials | Master's or PhD in Computer Science, Data Science, or related field; experience in ML algorithms | Master's in Data Science, Statistics, or related; strong analytical background |
| Work Environment | Leads ML teams, develops models, and oversees deployment in tech-focused companies | Manages data science teams, focuses on insights and analytics for business decisions |
| Employer & Industry Usage | Tech firms, AI startups, large enterprises with AI initiatives | Financial, healthcare, retail, and other industries leveraging data insights |
While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.
What does a Remote Director of Machine Learning do?
What are the key skills and qualifications needed to thrive as a Remote Director of Machine Learning, and why are they important?
How does a Remote Director of Machine Learning typically coordinate and lead distributed teams across different time zones?
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Posted 20 days ago
Job description
Jersey City, NJ, United States
About the JobWe're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.
Responsibilities- Build and deploy the ML pipelines that power the company machine learning platform.
- Manage MLOps infrastructure to monitor and optimize models.
QualificationsExperience:
1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.
Proficiency across topics in machine learning and statistics.
Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)
Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.
Familiarity with CNNs, RNN, LSTMs, and the latest research trends.
Experience implementing, deploying, and maintaining production machine learning systems.
Experience monitoring and optimizing model performance.
Experience with Linux, Docker and AWS, and basic development operations.
Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.