Technical Lead, Machine Learning

Bjak · Remote · Indonesia ·
Fully remoteFull-timeLead8+ years
COMPENSATION
€•• – ••k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Technical Lead, ML
  • Fully remote
  • Python + PyTorch
  • GPU systems
  • Production focus

Lead the execution layer of intelligence by turning research into reliable production systems. You will manage the entire model lifecycle, including data, training, evaluation, and inference, ensuring high performance and scalability for proactive applications.

What you'll do

  • Own end-to-end ML systems from data and training to deployment
  • Build and evolve training and fine-tuning pipelines for large models
  • Design evaluation systems for capability, safety, and performance
  • Architect high-performance inference systems optimizing latency and cost
  • Create data pipelines for real-world and synthetic training data
  • Establish infrastructure for deploying and monitoring models
  • Partner with research and engineering to improve product capabilities

What you'll need

  • Experience shipping ML systems in production, not just prototypes
  • Strong understanding of large-model training, fine-tuning, and inference
  • Solid software engineering and systems fundamentals
  • Experience operating GPU-based ML workloads at scale
  • Ability to navigate ambiguous problems with strong technical judgment
  • Bias toward experimentation, measurement, and shipping code
  • High standards for correctness and production quality

Nice to have

  • Comfortable working with large models and their failure modes
  • Experience writing strong, production-grade code

Stack

  • Python
  • PyTorch
  • JAX
  • GPU-based systems

How you'll work

  • Small, high-talent-density team
  • Broad ownership and independent execution
  • Fast decision-making with balance of speed and fundamentals
  • Virtual meetings and/or onsite interviews

Hiring process

  • Applications evaluated by technical team members
  • Three to four interviews maximum
  • Virtual or onsite interview formats
  • Prompt decision after final interview