Lead Machine Learning Engineer

Summary

Join HackerRank's Machine Learning team in Bangalore as an ML Scientist III and contribute to building industry-leading plagiarism detection solutions. You will identify business opportunities for machine learning, set strategies for execution, and establish best practices. Responsibilities include productionizing machine learning models, improving existing efforts, and collaborating with the Integrity Product & Engineering team. Success in this role requires a strong foundation in machine learning fundamentals, experience with model lifecycles, and proficiency in Python and relevant frameworks. The ideal candidate will be passionate about customer satisfaction and thrive in a collaborative, high-ambiguity environment. HackerRank is committed to valuing skills over pedigree and fostering a high-performing, mission-driven team.

Requirements

• Advanced degree (Master's) in Computer Science, Machine Learning, Data Science, or a related field
• Overall, 5+ years of experience as a Machine Learning Scientist or a similar role
• Proven experience in machine learning, with a strong emphasis on classical and statistical methods as well as deep neural networks & a strong background in math & statistics for machine learning applications
• Experience in full ownership of the machine learning model lifecycles, including data preparation and system deployment
• Experience developing medium to large-scale data pipelines
• Demonstrated experience in preparing datasets and conducting evaluations of machine learning models
• Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
• Being up to date on recent advances in machine learning, and identifying relevant papers and opportunities

Responsibilities

• Identify business opportunities best suited for machine learning and set the score, vision, and strategy to execute those opportunities
• Set the foundations and define best practices for machine learning efforts at HackerRank
• Identify opportunities and drive improvements to existing machine learning efforts
• Productionize machine learning models, for example, by balancing model performance with memory and latency requirements

Preferred Qualifications

• Experience in benchmarking and performance evaluation of LLMs & designing high-scale data pipelines
• Published research in relevant fields
• Familiarity with coding challenges and competitive programming