MTS 2Gracenote
We're #Hiring engineers in Bengaluru to help machines understand video the way people do.
Seven months ago I joined Gracenote, a Nielsen company, to build In-stream Video Intelligence (ISVI). The problems are as hard as they are fun: Where does a scene really end? What makes two pieces of content alike? Which moments are shoppable, ad-safe or newsworthy? Who's on screen? Which 45 seconds of a three-hour match are worth clipping? And how do you answer all of that reliably, at massive scale, every day?
It's work that sits right where heavy engineering scale meets cutting-edge AI, and you need to be good at both.
Open roles:
• SMTS (6–10 yrs)
• MTS-2 (3.5–6 yrs)
• PMTS (10+ yrs): opening soon. If you're at that level, DM me and let's talk before it's posted.
Who we're looking for:
→ Builders who own a problem end to end: backend, frontend, AWS infra, and the messy boundary where software meets models. We don't have pure-play specialists.
→ People who've put LLMs, VLMs or vision models into production pipelines, or really want to.
→ Strong fundamentals: distributed systems, event-driven design, and clean code that holds up when the volume gets real.
→ Engineers who already work AI-native, with coding agents as part of their daily loop.
If that sounds like you, or like someone you'd vouch for, apply via the links in the first comment or DM me.
You can also reach out to Sushmitha S, our recruiter, or Pradeep nain, the Sr. EM driving this hiring.
P.S. We're hiring directly for these roles, so no agencies or staffing firms, please.
#GenAI #VideoAI #Bengaluru
tal saysgracenote is hiring an mts-2 in bangalore to build large-scale video intelligence and ai pipelines
engineering
mid
Bangalore
public
awsllmsvlm
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