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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
OP3N WORLD | Los Angeles, CA, United States | $21k - $64k | |||
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Pixel Vault | United States | $75k - $98k | |||
Laguna Games | San Francisco, CA, United States | $85k - $150k | |||
3MetaD | San Jose, CA, United States | $45k - $82k | |||
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Consensys | Remote | $100k - $209k | |||
Andreessen Horowitz | New York, NY, United States | $90k - $105k |
OP3N WORLD
$21k - $64k estimated
This job is closed
We are seeking a highly motivated and enthusiastic Machine Learning Engineer Intern to join our team. As an Intern, you will work closely with our Product and Engineering teams to research, implement, train and evaluate innovative machine learning models to build our next generation, AI powered Games and Spaces.
Key Responsibilities:
- Conduct research and analysis on various machine learning techniques and algorithms
- Evaluate, Build and test prototypes of machine learning models
- Collect and analyze data to improve model accuracy and performance
- Write and maintain code for machine learning models and experiments
- Collaborate closely with Product and Engineering teams to seek feedback.
- Participate in team meetings and provide regular progress updates
- Keep up-to-date with the latest research and developments in machine learning
Requirements:
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
- Strong programming skills in Python and experience with machine learning libraries such as TensorFlow.
- Knowledge of machine learning algorithms such as neural networks, decision trees etc.
- Excellent problem-solving skills and attention to detail
- Ability to work independently and as part of a team
- Have a Start-up mindset - ability to deal with ambiguity and work with minimal supervision.
Benefits:
- Gain hands-on experience in cutting-edge machine learning research and development
- Develop your technical and problem-solving skills
- Opportunity to work on real-world projects and contribute to cutting-edge research