This is a remote position.
Junior Machine Learning Engineer - US/Canada Residents only, Full-Time, Salary $65K-$77K
Minimum 1 year of work experience - fully remote position. Freshers are also encouraged to apply.
About us:
The Future of AI is Patterned We are a stealth-mode technology startup that is revolutionizing the way AI is used. Our platform uses pattern recognition to train AI models that are more accurate, efficient, and robust than ever before.
We are backed by top investors and we are hiring for almost everything! If you are passionate about AI and want to be a part of something big, then we want to hear from you.
Make a positive impact on the world. Be a part of a fast-growing startup. If you are interested in learning more, please visit our website.
We are looking for people who are:
Passionate about AI.
Excellent problem solvers.
Team players.
Driven to succeed.
Requirements
Job Summary:
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 careers in the field of machine learning and gain valuable experience in a collaborative and supportive environment.
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 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.
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 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.
Benefits
Special Benefits you will love:
- Flexible vacation, unlimited paid holidays, and paid sick days
- 401(k) with up to 2% employer match
- Health, vision, and dental insurance
Why Patterned Learning AI?
Patterned Learning AI is made up of incredibly bright, mission-driven coworkers who are passionate about using technology to solve real-world problems---and we're growing quickly. To continue building an engaging and dynamic organization, we're committed to giving everyone the support they need to do great work.
We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected. Patterned Learning AI is proud to be an equal opportunity workplace, and we welcome applicants from all backgrounds regardless of race, color, ancestry, religion, gender identity or expression, sexual orientation, marital status, age, citizenship, socioeconomic status, disability, or veteran status
