REMOTE (US/Canada Residing people only, with work permit) Patterned Learning – Junior Machine Learning Engineer, FULL-TIME, Salary $70K - $80K a year.
The Future of AI is Patterned, a stealth-mode technology startup. Top investors include Sequoia and Anderson Horowitz, founders from Google, DeepMind, and NASA and we’re hiring for almost everything!
Are you a recent graduate or early-career professional with a passion for machine learning and a desire to make a meaningful impact? We are seeking a motivated and talented Junior Machine Learning Engineer to join our team. As a Junior Machine Learning Engineer, you will have the opportunity to work on exciting projects, develop your skills, and contribute to the development and implementation of machine learning solutions. This is an excellent opportunity for individuals looking to kick start their career in the field of machine learning and gain valuable experience in a collaborative and supportive environment.
- 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 up-to-date with the latest advancements in machine learning and actively participate 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.
- 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 work on multiple projects simultaneously.
- Excellent communication and collaboration skills.
- Self-motivated with a strong desire to learn and grow in the field of machine learning.
Special Benefits You Will Love
- Flexible vacation, paid holidays, and paid sick days
- 401(k) with up to 2% employer match
- Health, vision, and dental insurance
8 hour shift, Monday to Friday , Time: Flexible, Job Type: Full-time.