Staff ML Scientist

Nykaa · Bengaluru

  • Experience8–12 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Posted24 Sept 2026
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About Nykaa

Nykaa is hiring in Bengaluru in ecommerce retail. This role looks for around 8+ years of experience.

Skills

  • recommendation systems
  • personalisation
  • deep learning
  • Generative AI
  • online experimentation
  • Python
  • NumPy
  • Pandas
  • scikit-learn
  • PySpark
  • TensorFlow
  • PyTorch
  • Triton Inference Server
  • FAISS
  • ScaNN
  • TorchRec
  • Probability
  • Statistics
  • Machine Learning
  • A/B testing
  • incrementality measurement

The role

A machine learning scientist at an e-commerce retail company develops recommendation systems and personalisation using deep learning, generative AI, and online experimentation, with Python and TensorFlow supporting scalable consumer experiences. Mentors technical teams and translates machine learning research into production solutions.

Full job description

Responsibilities:

Personalised Experience: Own the end-to-end recommendation and personalisation strategy across Homepage, PLP, PDP and Cart, including problem definition, model development, online experimentation, production deployment and business impact.

Dynamic Homepage Optimisation: Develop intelligent systems to dynamically re-rank homepage assets, minimising user fatigue, improving discovery and exploration, and optimising overall platform revenue while balancing monetisation goals.

Advanced Recommendation Systems: Build and deploy deep learning-based ranking models to deliver highly personalised recommendations leveraging user beauty profiles, skin analyser insights, and in-app behavioural signals.

Generative Recommendations: LLM-assisted retrieval, RAG for recommendations, user intent modelling, multi-modal embeddings, session summarisation, and agentic personalisation.

Mentorship and Team Development: Mentor junior team members by owning KRAs, conducting code reviews, and driving best practices, while fostering a strong culture of learning, ownership, and innovation.

Research and Innovation: Stay at the forefront of advancements in machine learning and recommendation systems, and translate cutting-edge research into impactful, scalable solutions for Nykaa.

Requirements:

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field from a reputable institution.

7+ years of industry experience in Data Science and Machine Learning, specifically in recommendation systems or personalisation.

Proven experience in designing and deploying recommendation systems (Retrieval: ANN Search, Two-Tower, DSSM, PinSformer; Ranking: DCN, DIN/DIEN, Transformers, Multi-Task Learning, Calibrations).

Strong programming expertise in Python, with hands-on experience in libraries/frameworks such as NumPy, Pandas, Scikit-learn, PySpark, TensorFlow/PyTorch, and Triton Inference Server.

Familiarity with large-scale recommendation frameworks (e. g., FAISS, ScaNN, TorchRec).

Strong foundation in Probability, Statistics, and core Machine Learning concepts.

Deep understanding of A/B testing, incrementality measurement, and online experimentation, particularly in high-scale consumer platforms.