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Staff Machine Learning Scientist – AdTech & Recommendations

Nykaa · Posted Nov 4

Beauty, wellness, fashion, and personal care omnichannel retail services

Bangalore Urban, Karnataka, IndiaFull-timeOnsiteLead/Staff7+ years₹70.0L–₹1.1Cr yearly27 applicants
E-commerceRetailBeautyFashionWellnessCosmeticsPublic Company
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About the role

Nykaa’s AdTech Data Science team builds ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization, aiming to serve highly relevant personalized ads while maximizing advertiser success. The role is a hands-on technical leadership position focused on foundational ML models and systems for advertising science. The Staff MLS will work with product, engineering, and business teams on high-impact problems in ad ranking, bidding, budget optimization, generative creative optimization, and experimentation.

What you will do

  • ML Development & Deployment: Design and develop cutting-edge models for predicting ad outcomes, bidding decisions, budget pacing, and SKU/ad selection.
  • Build intelligent automation systems for campaign management that adapt in real-time to advertiser and platform feedback.
  • Develop generative models to optimize ad creatives and improve user engagement across formats.
  • System Architecture & Optimization: Own the architecture of core components like model pipelines, simulation frameworks, and personalization layers within the ad platform.
  • Drive research into long-term value modeling, multi-touch attribution, and campaign lifecycle optimization.
  • Cross-Functional Impact: Collaborate with Product and Engineering to design features that are ML-first and measurable.
  • Act as the primary technical stakeholder for experimentation, metrics design, and long-term roadmap planning.
  • Thought Leadership & Innovation: Explore and prototype novel approaches using Reinforcement Learning, RLHF, contrastive learning, or LLMs for advertiser assistance or campaign agents.
  • Publish internal whitepapers or contribute to external publications and IP generation when applicable.

Skills used in this role

What the employer is looking for

  • Education: Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Statistics, or a related technical field from a reputable institution.
  • Experience: 7+ years of experience building production-grade ML systems, with 5+ years specifically in AdTech or recommender systems, performance marketing, or large-scale recommender systems.
  • Proven track record of delivering impactful ML innovations as a senior individual contributor, from ideation to deployment.
  • Deep expertise in one or more of the following domains: CTR/CVR prediction, ranking, bidding dynamics, bid/budget optimization Multi-objective learning, campaign automation, target ROAS modeling Generative AI for creative optimization, personalization, or agentic workflows
  • Technical Skills: Strong understanding of: Learning-to-Rank Bandits and exploration strategies Representation learning / embeddings Auction systems and ads marketplaces Multi-objective optimization real-time inference, latency-sensitive model serving, and model monitoring in production environments.
  • Fluency in Python and ML frameworks like PyTorch, TensorFlow, XGBoost, and libraries like LightGBM, Scikit-learn.
  • Expertise in large-scale data processing with PySpark, SQL etc.
  • Strong command of A/B testing design, incrementality measurement, and online experimentation in AdTech systems.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Nykaa

Nykaa logo

Nykaa

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Nykaa (FSN E-Commerce Ventures) is a premier Indian omnichannel consumer technology platform specializing in beauty, personal care, and fashion products. Founded by Falguni Nayar, the company operates extensive online e-commerce channels alongside a growing nationwide network of physical retail stores. Nykaa also features an array of in-house private label brands and an eB2B distribution division.

Industry
E-commerce
Company size
5001-10000 employees
Founded
2012
Location
Mumbai, Maharashtra, India
Funding stage
Public Company

Funding

Public Company · $156.89M raised

Lighthouse FundsSteadview CapitalFidelityTPGLightrock
  • 2022-11-21Post-IPO Secondary$41.08M
  • 2022-11-09Post-IPOUndisclosed
  • 2020-11-25Secondary MarketUndisclosed
  • 2020-06-01Series H$2.61M
  • 2020-05-07Series F$8.88M

Leadership

FN
Falguni Nayar

Founder, Executive Chairperson, Managing Director and Chief Executive Officer

AN
Anchit Nayar

Executive Director and CEO, Nykaa Beauty E-Commerce

AN
Adwaita Nayar

Executive Director and CEO, Nykaa Fashion

PG
P. Ganesh

Chief Financial Officer

RU
Rajesh Uppalapati

Chief Technology Officer

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