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Glance

Staff Applied Scientist- Recommendation Systems

Glance · Bangalore

Posted about 3 months ago

or apply directly on Glance's site. We never take the application ourselves.

Is this posting real?

This role has been open
79 days
Glance's roles stay open a median of 80 days
Reposted
No
Salary listed
No
12% of Glance's roles list one
Ghost-job risk at Glance
high
48 stale, 1 reposted of 49 open
Hiring momentum
58 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 Glance's own greenhouse board since 2026-08-03. Full hiring picture for Glance.

About this role

As a Staff Applied Scientist focusing on Recommendation Systems at Glance, you will design, build, and deploy large-scale machine learning models for personalization across various products. Your role involves leading experiments, developing end-to-end ML pipelines, and collaborating with cross-functional teams to translate product goals into effective ML solutions. You will also monitor model performance and contribute to thought leadership through publications and presentations.

Our read on this posting2.8out of 5
benefits
3/5
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 Glance as an employer.

What you need

  • Deep expertise in Machine Learning, Data Science, and Recommendation Systems at scale
  • Strong applied understanding of experimentation, metrics, and causal reasoning in real-world systems
  • Ability to take models from idea to prototype to production to business impact
  • 10+ years of industry experience in ML/Data Science building large-scale recommendation or personalization systems
  • Hands-on experience applying techniques from ML, Deep Learning, NLP, Reinforcement Learning, Time Series, and Statistics
  • Strong programming skills in Python with production-quality code practices

Nice to have

  • PhD is a plus, but not mandatory
  • Experience operating in identity-constrained / privacy-aware environments (e.g., iOS/Android, identity-less systems)

What you get

  • Daily meals
  • Gym
  • Trainings
  • Tech tools
  • Regular unwind sessions
  • Pet-friendly office environment

Worth weighing

  • No salary listed
  • The role requires a significant level of experience (10+ years) which may limit opportunities for less experienced candidates
  • The focus on collaboration and communication suggests a need for strong interpersonal skills in addition to technical expertise

Summarised from Glance's posting. Read the full original.

Listed by Glance on their greenhouse job board, last confirmed open on 2026-10-23. PitchMeAI is not the employer.

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