Member of Technical Staff, Machine Learning

BJAK
China, Beijing
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Systems judgment","Debugging","Iteration","Continuous improvement","Collaboration"]

Build and improve core machine learning components for production systems from day one, spanning data, training, evaluation, and inference. Fine-tune and adapt models within larger workflows, implement robust evaluation and testing, and maintain data pipelines for real-world and synthetic data. Debug model issues, performance problems, and production incidents under real constraints like latency, cost, reliability, and safety, while iterating from real user feedback.

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FursaFursa
BJAK
BJAK
1 day ago

Member of Technical Staff, Machine Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live
Reposted: first listed 2 weeks ago

Job Summary

Build and improve core machine learning components for production systems from day one, spanning data, training, evaluation, and inference. Fine-tune and adapt models within larger workflows, implement robust evaluation and testing, and maintain data pipelines for real-world and synthetic data. Debug model issues, performance problems, and production incidents under real constraints like latency, cost, reliability, and safety, while iterating from real user feedback.
Location: China, Beijing
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Build and improve ML components across data, training, evaluation, and inference.
  • •Fine-tune and adapt models as part of larger production systems.
  • •Implement evaluation and testing to understand model behavior.
  • •Build and maintain data pipelines for real-world and synthetic data.
  • •Debug model issues, performance problems, and production incidents, then ship iterative improvements based on user feedback.

Key Requirements

  • •Strong foundations in machine learning and modern neural architectures.
  • •Hands-on experience training, fine-tuning, or deploying ML models.
  • •Comfort writing production-quality code and learning new tools quickly.
  • •Able to work through ambiguity with guidance and grow ownership over time.
  • •Bias toward shipping, iteration, and continuous improvement.
Skills:Systems judgmentDebuggingIterationContinuous improvementCollaboration
Tech Stack:PythonPyTorchJAXGPUsMachine learningNeural architectures

Company Brief

BJAK
Bjak is a Malaysia-based insurtech that operates an online insurance comparison and distribution platform across SEA, simplifying purchase and servicing of motor and life insurance using digital tools and AI-enabled services.
Industry: InsurTech
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Selangor, Malaysia
Founded: 2019
Glassdoor
Glassdoor: 2.5
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