Applied ML Engineer: Turn Research into Production AI

Sentient Labs; Hong Kong; Presencial; HKD 700 000 - 1 000 000; Tempo integral

Resumo da oferta

Sentient Labs seeks an Applied ML Engineer to build systems at the intersection of ML research and production software in Hong Kong. You will run end-to-end experiments, turning research into reliable, user-facing products with robust interfaces and diagnostics.

Expect collaboration across model evaluation, inference infrastructure, and frontend surfaces (React/TypeScript). You’ll read papers, implement from first principles, and ship production-grade systems with strong observability.

Qualificações

• 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 rather than relying on existing packages.
• Experience building production software beyond notebooks, including APIs, asynchronous jobs, databases, logging, testing, and deployment.
• Comfortable working with open-weight models and understanding how modern LLM inference systems operate.
• Ability to work across backend and frontend boundaries; product surface uses React/TypeScript.
• Strong technical judgment about evidence supporting results and the ability to drive work forward with ownership.

Responsabilidades

• 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 as needed.
• 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 evasion.
• Design controlled experiments that separate signals from artifacts or confounders.
• Write clear technical reports that distinguish evidence, interpretation, and hypotheses.
• Ship production-quality systems with APIs, background jobs, observability, testing, and documentation.

Conhecimentos

Python

PyTorch

Hugging Face Transformers

Ferramentas

DSPy

LiteLLM

Temporal

Ray

vLLM

PostgreSQL/pgvector

Next.js

React

TypeScript

Descrição da oferta de emprego

Sentient Labs seeks an Applied ML Engineer to build systems at the intersection of ML research and production software in Hong Kong. You will run end-to-end experiments, turning research into reliable, user-facing products with robust interfaces and diagnostics.

Expect collaboration across model evaluation, inference infrastructure, and frontend surfaces (React/TypeScript). You’ll read papers, implement from first principles, and ship production-grade systems with strong observability.