Machine Learning Engineer Intern

Machine Learning Engineer Intern at SproutsAI

About The Company

At SproutsAI, we're building the next generation of AI agents to automate recruiting workflows—from sourcing and scheduling to candidate recommendations and offer coordination. We`re not just building tools—we're redesigning how hiring happens.

About The Role

As a Machine Learning Engineer Intern at SproutsAI, you will be an integral part of our team, contributing directly to the development and improvement of our cutting-edge AI-powered recruiting platform. You will gain invaluable hands-on experience working alongside experienced engineers and researchers, applying your machine learning expertise to solve real-world problems in the recruiting domain. This internship provides an unparalleled opportunity to learn and grow within a dynamic and innovative company.

Responsibilities

• Assist in the design, development, and implementation of machine learning models and algorithms for enhancing our recruiting platform.
• Analyze large, complex datasets of recruiting data to identify patterns, trends, and actionable insights.
• Preprocess and clean data to ensure accuracy and reliability for model training and evaluation.
• Collaborate with senior engineers and data scientists to design and execute experiments, evaluating and optimizing model performance and scalability.
• Contribute to the research and development of new machine learning techniques applicable to the recruiting process.
• Present findings and insights to stakeholders, clearly communicating technical details and results.
• Contribute to the documentation of machine learning processes and methodologies used within the team.
• Assist in the deployment and integration of machine learning models into our production systems.
• Work collaboratively with cross-functional teams to apply machine learning solutions to complex business challenges.
  
  

Qualifications

• Currently pursuing a Bachelor`s or Master`s degree in Computer Science, Data Science, or a related field.
• Demonstrated experience (through coursework, personal projects, or internships) in applying machine learning techniques to solve real-world problems.
• Strong understanding of statistical methods and their application in machine learning.
• Experience with at least one programming language commonly used in machine learning (e.g., Python).
• Familiarity with common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
  
  

Skills Required

• Python
• Machine Learning
• Data Analysis
• Statistics
• Data Preprocessing
• Data Visualization
• SQL (preferred)
• Git
• Problem Solving
• Communication
• Collaboration
  
  

Benefits

• Comprehensive medical, dental, and vision insurance.
• Life insurance and disability insurance.
• 401(k) retirement plan with employer contributions.
• Generous paid time off.
• Paid holidays.
• Parental leave.
• Sick leave.
• Remote or hybrid work options.
• Flexible working hours.
• Opportunities for career advancement and training/certifications.
• Competitive compensation package (may include bonuses and stock options).
  
  

Company Culture

SproutsAI fosters a fast-paced, innovative environment that values both collaborative teamwork and individual contributions. We have a flat management structure promoting open communication, strong emphasis on professional development, and a commitment to work-life balance with flexible work arrangements including remote options. We are dedicated to fostering a diverse, equitable, and inclusive workplace where all employees feel valued and respected.