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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Manhattan, NY · On-site +1
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Manhattan, NY · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
Sr. Lead Machine Learning Engineer
Manhattan, NY · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
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New York, NY · On-site +1
Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Internship experience does not apply) * At least 4 years of experience programming with Python ...
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New York, NY · On-site +1
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Senior Machine Learning Engineer
New York, NY · Remote
$180K - $250K/yr
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New York, NY · On-site +1
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$139K - $168K/yr
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Machine Learning Engineer New Grad 2024-2025 -Remote
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$139K - $168K/yr
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$150K - $180K/yr
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Manhattan, NY · On-site +1
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Remote Internship Machine Learning Engineer information
What is the difference between Remote Internship Machine Learning Engineer vs Remote Data Scientist Intern?
| Aspect | Remote Internship Machine Learning Engineer | Remote Data Scientist Intern |
|---|---|---|
| Required Credentials | Basic programming, machine learning fundamentals, coursework or certifications | Statistics, data analysis, programming skills, coursework or certifications |
| Work Environment | Collaborative team, remote, project-based | Remote, data analysis projects, team collaboration |
| Industry Usage | Tech, AI, software development | Tech, finance, healthcare, research |
Both roles are internship positions focused on data and machine learning skills, often requiring similar educational backgrounds. The main difference lies in their focus: Machine Learning Engineers concentrate on developing and deploying ML models, while Data Science Interns focus on analyzing data and deriving insights. Both are common in tech industries and often share similar work environments and prerequisites.
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Other
Posted 21 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.