Junior Machine Learning Engineer

F1-OPT Junior Machine Learning Engineer (1-year experience, remote – US/Canada Only)

Hiring Type: Full-Time

Annual Salary: $55,000-$70,000

• This job is for F1-OPT visa holders.**
  
  

Description:

We build digital products for a variety of clients. You will work closely with our senior engineers to design, develop, and maintain high-quality websites and web applications. This is an excellent opportunity to gain hands-on experience in a collaborative environment and contribute to exciting projects.

Summary:

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 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 sci-kit-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 machine learning.
  
  

What Matters To You Matters To Us.

We value our employees and work hard to ensure proper care for them. So their families. We desire to compensate employees in a competitive, motivational, fair, and equitable way with other employers in the marketplace. Salary is only one component of employee compensation but an integral part of recruiting and retaining qualified employees. However, we take a comprehensive approach and consider each employee's needs to tailor a compensation plan that provides financial security and peace of mind. Our competitive package includes a best-in-class matching 401K program, a comprehensive Cigna healthcare plan, a competitive employer contribution to a health savings account, vision and dental plans, life insurance, short- and long-term disability, and personal leave, in addition to paid certifications and training.

We are an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. Qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.