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Senior Machine Learning Engineer

HackerRank Careers
Location
Hybrid in Bangalore, India
Posted
2 months ago
Department
Engineering
What they actually want (must-haves)
  • 5+ years building and shipping ML systems that run in production at scale
  • Proficient in Python and Deep Learning frameworks like PyTorch/JAX
  • Have implemented Research Papers to build DNN architectures from scratch
  • Systems thinking comes naturally
  • Evaluation methodology matters as much as model performance
Nice to have
  • Experience with multimodal systems: vision, NLP, audio, or behavioral signal pipelines
  • LLM experience: fine-tuning, RLHF, Pruning, Distillation, Knowledge Graph, Recursive Language Models, Architectures - Transformers, SSM, LNN, Hybrid etc.
  • Background in adversarial ML, fraud detection, or anomaly detection
  • Publications or open-source contributions in detection, robustness, or evaluation methodology
  • Strong understanding of mathematical foundations for Deep Learning methodologies
What the job really is

As a Senior Machine Learning Engineer at HackerRank, you will design and ship production ML systems focused on autonomous AI interviewing, fraud detection, and technical skill evaluation. You will own the full ML lifecycle, mentor junior engineers, and establish best practices for ML within the team. Your work will directly impact how companies identify and invest in technical talent in a rapidly evolving landscape.

Things to weigh
  • Focus on messy, undefined problems rather than optimizing clean ones
  • Direct access to leadership and fast feedback loops may suit candidates seeking a dynamic environment
  • No specific salary or benefits mentioned in the posting
Job score2.4/5
Benefits1/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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