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Glance

Applied Scientist II - 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

The Applied Scientist II role at Glance involves designing, building, and deploying large-scale recommendation systems and intelligent systems that enhance personalized consumer experiences. The position requires collaboration with cross-functional teams to integrate machine learning and generative AI features into products, while also focusing on model performance monitoring and rapid experimentation workflows.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
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

  • Bachelor’s/master’s in computer science, Statistics, Mathematics, Electrical Engineering, Operations Research, Economics, Analytics, or related fields
  • 3+ years of industry experience in ML/Data Science, ideally in large-scale recommendation systems or personalization
  • Experience with large-scale ML and recommendation systems
  • Expertise with algorithms in NLP, Reinforcement Learning, Time Series, and Deep Learning
  • Proficient in Python and comfortable with statistical tools (R, NumPy, SciPy, PyTorch/TensorFlow, etc.)
  • Strong experience with the big data ecosystem (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI)

Nice to have

  • PhD
  • Experience with LLMs, retrieval systems, generative models, or agentic/autonomous ML systems
  • Familiarity with privacy-preserving ML and identity-less ecosystems (especially on iOS and Android)
  • Building or experimenting with LLMs, generative models, and agentic AI workflows

Worth weighing

  • No salary listed
  • The role requires a strong background in both classical and deep learning techniques
  • Candidates should be comfortable in a highly collaborative environment with diverse teams
  • The focus on agentic AI systems may imply a cutting-edge but potentially experimental work environment

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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