Level

Amazon

Applied Scientist II, Advertising Trust

Amazon is hiring an Applied Scientist II, Advertising Trust in Bengaluru, India. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this applied scientist role: the job is building AI systems.
  • Level classifies it as a mid-level role.
  • Level lists 21,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

Amazon Advertising operates at a scale few places in the world can match, and every ad shown to a customer must meet a high bar for trust and quality. We are looking for an Applied Scientist II to advance the machine learning systems that evaluate advertising content at scale — balancing accuracy, latency, and cost so that we protect the customer experience without slowing advertisers down. You will own meaningful scientific problems end to end: framing the problem, building and validating models, and taking them to production where they make decisions on live traffic.

This is a hands-on science role with real ownership. You will work across large multilingual datasets, modern ML and large language model techniques, and tight engineering constraints, partnering closely with other scientists, engineers, and product teams to turn research into measurable customer impact.

Key job responsibilities
- Design, build, and ship ML models and systems that classify and evaluate content accurately and efficiently at scale.
- Translate ambiguous business and policy problems into well-scoped scientific problems with clear success metrics.
- Apply and adapt modern techniques — including deep learning, representation learning, and large/small language models — to production problems under real latency and cost constraints.
- Own the full model lifecycle: data, training, evaluation, deployment, monitoring, and retraining in response to drift and changing requirements.
- Define evaluation methodology and the metrics that matter (precision, recall, cost of error, latency), and defend trade-offs with evidence.
- Collaborate with engineering and product partners to integrate models into live systems, and mentor junior scientists.

Basic qualifications

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming or scripting language like Python, Java, C or C++
- Experience in investigating, designing, prototyping, and delivering new and innovative system solutions

Preferred qualifications

- Have publications at top-tier peer-reviewed conferences or journals
- Experience with machine learning techniques for fast and accurate extraction of visual features of humans (i.e. shape, pose, segmentation) from photographs

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Applied Scientist II, Advertising Trust at Amazon rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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Pay

Typical applied scientist job
$172k

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