Applied ML Engineer — Production-Grade ML Systems

Sentient Labs; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

Sentient Labs in Singapore is seeking an Applied ML Engineer to build systems at the intersection of machine learning research and production software. You will translate research into reliable, usable products, reading papers, running smallest viable experiments, and turning findings into production interfaces.

You’ll contribute across model evaluation, inference infrastructure, backend systems, and product interfaces, ensuring end-to-end robustness and measurable impact for users.

Qualifications

• Strong Python engineering skills and hands‑on experience with PyTorch and Hugging Face Transformers.
• Deep understanding of ML evaluation, including dataset design, baselines, metrics, calibration, false positives/negatives, statistical uncertainty, and reproducibility.
• Ability to read ML research papers and implement methods from first principles.

Responsibilities

• Reproduce and evaluate research methods using open-weight and API-accessible models.
• Design evaluation datasets, probes, scoring methods, baselines, calibration tests, and experiment harnesses.
• Work directly with model weights, logits, hidden states, activations, model APIs, and inference infrastructure when required.
• Build and extend our evaluation infrastructure, including runners, judges, persistence, experiment orchestration, and reporting.
• Turn research workflows into product experiences, including experiment configuration, runs, traces, comparisons, reports, and review workflows.
• Investigate how verification methods behave under model modification, including fine-tuning, merging, quantization, distillation, safety removal, and deliberate evasion.
• Design controlled experiments that separate meaningful signals from artifacts or confounders.
• Write clear technical reports that distinguish measured evidence, interpretation, and hypotheses.
• Ship production-quality systems with APIs, background jobs, observability, testing, and documentation.

Skills

Python

PyTorch

Hugging Face Transformers

ML evaluation

Dataset design

Production software

React/TypeScript basics

Tools

Open-weight models

DL inference infrastructure

PostgreSQL/pgvector

Job description

Sentient Labs in Singapore is seeking an Applied ML Engineer to build systems at the intersection of machine learning research and production software. You will translate research into reliable, usable products, reading papers, running smallest viable experiments, and turning findings into production interfaces.

You’ll contribute across model evaluation, inference infrastructure, backend systems, and product interfaces, ensuring end-to-end robustness and measurable impact for users.