Senior Machine Learning Engineer
HackerRank Careers · Hybrid in Bangalore, India
Posted about 3 months ago
or apply directly on HackerRank Careers's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 81 days HackerRank Careers's roles stay open a median of 81 days
- Reposted
- No
- Salary listed
- No 31% of HackerRank Careers's roles list one
- Ghost-job risk at HackerRank Careers
- high 29 stale, 2 reposted of 29 open
- Hiring momentum
- 42 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-23
Measured from postings appearing on and disappearing from HackerRank Careers's own greenhouse board since 2026-08-03. Full hiring picture for HackerRank Careers.
About this role
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.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of HackerRank Careers as an employer.
What you need
- 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
Worth weighing
- 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
Summarised from HackerRank Careers's posting. Read the full original.
Listed by HackerRank Careers on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.
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