Ovii Job Board

Software Engineer - Machine Learning, Trust and Safety

mercari

Bengaluru, India • Hybrid - Bengaluru, India • Full-Time • 5+ years

Posted 2026-05-29 Tech & Engg

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Job Description

Ovii's Interpretation of the Role

We are looking for a senior software engineer to design, build, and operate large‑scale machine‑learning pipelines that power trust and safety features for Mercari’s marketplace. The role blends deep ML expertise with production engineering, cloud, and container orchestration to deliver robust content‑moderation and fraud‑detection solutions.

Role Snapshot

  • Senior ML Engineer
  • End‑to‑end model development
  • Production ML Ops
  • Cloud & Kubernetes deployment
  • Cross‑functional collaboration

Must-Have Requirements

  • Large‑scale ML system development
  • End‑to‑end ML solution delivery
  • TensorFlow or PyTorch
  • scikit‑learn, NumPy, pandas
  • Docker and Kubernetes
  • AWS/GCP/Azure
  • Backend/microservice engineering
  • Communication for cross‑team projects
  • large‑scale ML system development
  • model experimentation to production deployment

Nice-to-Have Signals

  • AI‑based anomaly detection and content moderation
  • Functional bug‑fixing for system reliability
  • Deploying deep‑learning models or LLMs in production
  • Publications in top‑tier conferences
  • Monitoring, logging, and production operations basics
  • AI‑based anomaly detection
  • content moderation systems

Work Setup

  • Location: Bengaluru, India
  • Work mode: HYBRID
  • Remote scope: UNSPECIFIED
  • Employment type: Full-Time

Not Specified in JD

  • Salary range
  • Visa sponsorship
  • Remote eligibility
  • Education requirement
  • Certifications
  • Relocation
  • Notice period
  • Travel
  • Security clearance
  • Coding test

What You'll Likely Work On

  • Collaborate with product and cross‑functional teams to define ML‑driven trust and safety features
  • Design, train, and deploy large‑scale models for content moderation, fraud detection, and anomaly detection
  • Build and maintain microservice pipelines on Kubernetes and cloud platforms
  • Conduct data analysis, A/B testing, and performance monitoring to iterate on model effectiveness
  • Research emerging AI techniques and propose innovative solutions for marketplace safety

Good Fit If You Have

  • Enjoys rapid, autonomous decision‑making in a fast‑moving environment
  • Comfortable communicating technical concepts to diverse stakeholders
  • Passionate about building safe, trustworthy user experiences

Skills

  • Machine learning frameworks (TensorFlow, PyTorch)
  • Data‑science libraries (scikit‑learn, NumPy, pandas)
  • Docker & Kubernetes
  • AWS / GCP / Azure
  • Backend / microservice engineering
  • MLOps & model serving
  • Production monitoring & logging
  • Strong communication