Machine Learning Engineer
8 hours ago
At HP Development Company, L.P., we're passionate about harnessing the power of machine learning to create innovative solutions that transform lives. As a Machine Learning Intern, you'll be part of a dynamic team dedicated to designing, training, and integrating advanced machine learning capabilities. Our mission is to empower individuals and organizations to succeed in an ever-evolving world.
About the RoleAs a key member of our full-stack team, you'll work collaboratively with experts to develop impactful machine learning models from inception to deployment. You'll craft algorithms for processing vast datasets efficiently in real-time, integrate models with various platforms for real-world applications, and enhance model performance for greater accuracy and efficiency. Your contributions will play a critical role in shaping the future of technology.
Key Responsibilities- Research and develop machine learning models from inception to deployment.
- Work collaboratively with teams to transform business needs into robust technical solutions.
- Craft algorithms for processing vast datasets efficiently in real-time.
- Integrate models with various platforms for real-world applications.
- Enhance model performance for greater accuracy and efficiency.
- Pursuing a degree in Computer Science, Engineering, Mathematics, or a related field.
- Demonstrated skills in Python/C++, C#, Swift, or Objective-C.
- Familiarity with PyTorch, TensorFlow, Flutter, or similar frameworks.
- Understanding of machine learning, computer vision, and robotics.
- Experience with cloud services (AWS, Azure, GCP) is a plus.
- Mobile development knowledge for Android/iOS is beneficial.
- Excellent analytical and problem-solving abilities.
- Strong communication and teamwork skills.
We offer a unique opportunity to contribute to real-world projects that reach millions of users globally. You'll gain hands-on experience, learn from industry experts, and help drive technological innovation forward. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $40-50 hourly.
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