Applied ML Engineer: Turn Research into Production AI

Sentient; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Job summary

Sentient is seeking an Applied ML Engineer to build systems at the intersection of ML research and production software. This role spans end-to-end engineering, turning research into reliable, user-facing products through careful experimentation and production-grade systems.

You will work across model evaluation, model internals, inference infrastructure, backend systems and product interfaces to deliver measurable and usable results.

Qualifications

• Strong Python engineering skills with PyTorch experience.
• Experience reading ML research papers and implementing methods from first principles.
• Experience building production software (APIs, async jobs, databases, logging).

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

HuggingFace

ML evaluation

Experiment design

Open-weight models

React/TypeScript

Production systems

Research papers

Job description

Sentient is seeking an Applied ML Engineer to build systems at the intersection of ML research and production software. This role spans end-to-end engineering, turning research into reliable, user-facing products through careful experimentation and production-grade systems.

You will work across model evaluation, model internals, inference infrastructure, backend systems and product interfaces to deliver measurable and usable results.