Junior Machine Learning Engineer - Remote Job, 1+ Year Experience
Annual Income: $55K - $75K
Valid Work Permit Required in the US
About Us
Patterned Learning is an innovative platform designed to streamline coding processes for developers, making it faster and more efficient. Our key features include collaborative coding, real-time multiplayer editing, and seamless integration for building, testing, and deploying code directly from the browser. Our platform also boasts tightly integrated code generation, editing, and output capabilities.
Job Summary
As a Junior Machine Learning Engineer, you will engage in exciting projects that will help you hone your skills and contribute to the implementation of sophisticated machine learning solutions. This role offers an excellent start for individuals aiming to build a career in machine learning, providing a collaborative and supportive environment for growth.
Responsibilities
- Collaborate with senior engineers and data scientists to understand project requirements and develop machine learning models and algorithms.
- Assist in collecting, preprocessing, and analyzing data to uncover patterns and insights.
- Implement and optimize machine learning models, algorithms, and pipelines.
- Participate in model evaluation, validation, and performance tuning.
- Contribute to the development and improvement of existing machine learning infrastructure and frameworks.
- Stay updated with the latest advancements in machine learning and engage in knowledge-sharing activities within the team.
- Collaborate with cross-functional teams to integrate machine learning solutions into production systems.
- Document technical processes, methodologies, and outcomes effectively.
Qualifications
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
- Solid understanding of machine learning fundamentals, algorithms, and statistical concepts.
- Proficiency in programming languages such as Python, Java, or C++.
- Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures and techniques is a plus.
- Familiarity with big data processing tools (e.g., Hadoop, Spark) is advantageous.
- Strong problem-solving skills and the ability to manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Self-motivated with a strong desire to learn and grow in the field of machine learning.
Why Patterned Learning LLC?
Patterned Learning provides intelligent suggestions, automates repetitive tasks, and aids developers in writing code more effectively. By reducing coding errors and enhancing productivity, our platform accelerates the development process.
Our machine learning models, especially deep learning models, excel in pattern recognition and classification tasks, making them particularly useful for code analysis and generation.