Member of Technical Staff, Machine Learning

BJAK
Sweden
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Systems judgment","Debugging","Collaboration","Independent execution","Continuous improvement"]

Build and improve core machine learning components for real production systems, from data and training through evaluation and inference. Fine-tune and adapt models within larger production workflows, implement testing to understand model behavior, and maintain robust data pipelines using real and synthetic data. Debug model and performance issues, collaborate with senior ML engineers and product teams, and ship iterative improvements under constraints like latency, cost, reliability, and safety.

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FursaFursa
BJAK
BJAK
1 month ago

Member of Technical Staff, Machine Learning

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Build and improve core machine learning components for real production systems, from data and training through evaluation and inference. Fine-tune and adapt models within larger production workflows, implement testing to understand model behavior, and maintain robust data pipelines using real and synthetic data. Debug model and performance issues, collaborate with senior ML engineers and product teams, and ship iterative improvements under constraints like latency, cost, reliability, and safety.
Location: Sweden
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

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; ship iterative improvements from real user feedback.

Key Requirements

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

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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