About The Team
HackerRank’s Machine Learning team is working on the cutting edge of AI. We’re actively researching and building solutions for a number of exciting initiatives, including plagiarism detection within our Integrity Workstream, how LLMs perform across the SDLC via our ASTRA evaluation harness and benchmark, the types of datasets that can further improve LLMs on software engineering tasks, and finally how far we can take software development agents with our rich datasets.
About The Role
As the leading software developer assessment platform, maintaining our platform’s integrity is critical. HackerRank’s ML Team is working to leverage machine learning and AI solutions to build industry-leading plagiarism detection solutions. As an ML Scientist III, based in Bangalore, you’ll be working closely with the Integrity Product & Engineering team to deliver robust and scalable ML and AI-powered solutions for complex integrity problems. You’ll also be a key part of developing HackerRank's Machine Learning practice across our products, with a heavy emphasis on technical & thought leadership for machine learning and AI solutions.
What You'll Do
- 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.
You Will Thrive In This Role If You
- You are rigorous about applying strong machine learning fundamentals to problems, meaning that you don’t jump to an ML-based solution if one isn’t needed.
- You know how to set up and quickly execute a number of experiments to figure out the right solution.
- You’ve got a good balance of software and ML skills, and aren’t afraid to do some hands-on data labelling yourself.
- You care deeply about customer satisfaction and take ownership of understanding the products you’re working on.
- You thrive in a high-ambiguity environment that requires a lot of collaboration with peers across functions.
What You Bring
- 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.
- Bonus: Experience in benchmarking and performance evaluation of LLMs & designing high-scale data pipelines.
- Bonus: Published research in relevant fields.
- Bonus: Familiarity with coding challenges and competitive programming.