Chakra: Building an autonomous AI interviewer that conducts, adapts to, and evaluates technical interviews end to end.
Integrity: Detecting fraud and suspicious behavior across multiple signal types. The ways candidates game assessments change frequently, and the models need to keep up.
Evaluation: Measuring technical skill in a world where AI writes the code. The old proxies no longer hold and the new ones have not been defined yet.
Your focus will shift across these depending on where the highest-leverage work is at any given time.
What you will do
Research, Design, and Develop advanced Deep Learning models and novel Neural architectures.
Explore architectures beyond Transformers, including State Space Models (SSMs), Liquid Neural Networks (LNNs), and Hybrid approaches.
Design and implement Agentic AI systems, Recursive Reasoning Engines, and tool-augmented architectures.
Fine-tuning of models using PEFT (e.g. LoRA, QLoRA etc.), and Knowledge Distillation
Optimize model Performance, Inference Efficiency, Latency, and Memory utilization.
Design rigorous experiments, evaluation frameworks, and benchmarks to validate research hypotheses.
Translate cutting-edge research into scalable, production-grade AI systems.
Who you are
M.Tech./M.S./Ph.D. in AI/ML or related disciplines.
2-3 years of experience in Deep Learning, Machine Learning, or Applied AI Research.
Strong foundations in Linear Algebra, Probability, Statistics, Optimization, and Deep Learning algorithms.
Proficient in frameworks like PyTorch/JAX, with hands-on model development experience.
Demonstrated ability to implement, reproduce, and extend research papers, including building neural architectures from scratch.
Strong understanding of experimental design, model evaluation, benchmarking, and statistical validation.
Demonstrated research aptitude through publications, open-source contributions etc.
Even better if you have
Understanding of Evaluation Benchmarks for S/W Engineering Tasks and Human-Agent Collaborations
Familiarity with distributed computing, GPU acceleration, and scalable ML infrastructure.
You will thrive here if you
You enjoy solving open-ended research problems and challenging established assumptions.
You prefer first-principles thinking and rigorous experimentation over simply applying existing models.
You are excited to explore next-generation AI architectures beyond traditional Transformers.
You thrive in a fast-paced environment with intellectual freedom, ownership, and direct collaboration with leadership.
You are passionate about turning novel AI research into efficient, scalable, real-world systems.
Want to learn more about HackerRank? Check out HackerRank.com to explore our products, solutions and resources, and dive into our story and mission here.
HackerRank is a proud equal employment opportunity and affirmative action employer. We provide equal opportunity to everyone for employment based on individual performance and qualification. We never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
Linkedin | X | Blog | Instagram | Life@HackerRank
Notice to prospective HackerRank job applicants
Our Recruiters use @hackerrank.com email addresses.
We never ask for payment or credit check information to apply, interview, or work here.
