Bjak

Principal Machine Learning Engineer

Bjak
Apply
7 months ago
Beijing, ChinaStaff+

Responsibilities

  • Build and own end-to-end ML pipelines covering data, training, evaluation, inference, and deployment.
  • Fine-tune and adapt models using LoRA, QLoRA, SFT, DPO, and distillation.
  • Architect and operate scalable inference systems while balancing latency, cost, and reliability.
  • Design and maintain synthetic and real-world training data systems.
  • Implement evaluation pipelines for performance, robustness, safety, and bias.
  • Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
  • Collaborate with application engineering to integrate ML systems into backend, mobile, and desktop products.
  • Make pragmatic trade-offs and iterate quickly based on real-world usage.

Requirements

  • Strong background in deep learning and transformer-based architectures.
  • Hands-on experience training, fine-tuning, or deploying large-scale ML models in production.
  • Proficiency with at least one modern ML framework, such as PyTorch or JAX.
  • Experience with distributed training and inference frameworks, such as DeepSpeed, FSDP, Megatron, ZeRO, or Ray.
  • Strong software engineering fundamentals and the ability to build robust, maintainable, production-grade systems.
  • Experience with GPU optimization, memory efficiency, quantization, and mixed precision.
  • Ability to own ambiguous zero-to-one ML systems end-to-end.
  • Ideal qualifications include experience with vLLM, TensorRT-LLM, FasterTransformer, RLHF pipelines, multimodal or diffusion models, open-source ML or systems libraries, scientific computing, compilers, GPU kernels, Apache Arrow, Spark, or Ray.
Bjak

About Bjak

201-500 employees

Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.

Contact me