HackerRank is at the forefront of innovation in machine learning and AI. We are launching an ambitious data commercialization program where we are creating a comprehensive benchmark to assess the performance of large language models (LLMs) on software development tasks and generating new content and data specifically to improve state-of-the-art LLMs on software engineering tasks. We are seeking a highly skilled and motivated research engineer to join our team and help us drive this initiative forward. This position is Full-Time and Remote within North America.

Key Responsibilities:

  • Design & develop evaluation metrics and benchmark methodologies and conduct experiments to evaluate the performance of various LLMs on software engineering tasks.
  • Develop & deploy data pipelines for LLM training and evaluation datasets.
  • Contribute to the development and deployment of state-of-the-art machine learning models.
  • Collaborate with cross-functional teams to ensure the seamless integration of the benchmark into our broader data commercialization strategy.
  • Stay abreast of the latest machine learning and LLMs advancements to ensure our benchmarks and models remain cutting-edge.

Qualifications:

  • Advanced degree (Master’s) in Computer Science, Machine Learning, Data Science, or a related field.
  • Proven experience in machine learning, with a strong emphasis on LLMs and natural language processing.
  • Demonstrated experience in preparing and conducting evaluations of machine learning models.
  • Experience developing large-scale data pipelines for research datasets.
  • Proficiency in programming languages such as Python and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).

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.

Benefits & Perks:

We have a full package of competitive benefits and perks, which include the following:

  • One-time home office set up stipend
  • Monthly Remote Work Enablement Stipend
  • Professional Development Reimbursement
  • Wellbeing Benefits (Headspace, etc)
  • Flexible paid time off, paid leave for new parents, and flexible work hours
  • Insurance for all employees (term life, personal accident, medical) along with medical insurance for their dependents
  • Employee stock options
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