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BJAK

Member of Technical Staff, Machine Learning

BJAK

Member of Technical Staff working on ML components for a smart assistant. Building reliable ML systems and collaborating with senior engineers and product teams.

Posted 7/19/2026full-timeRemote • 🇵🇱 PolandLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates strong foundations in Machine Learning and modern Neural Architectures, with hands-on experience in training, fine-tuning, and deploying ML models. Capable of building and maintaining data pipelines while iterating on improvements based on real user feedback under production constraints.

Highest-signal resume keywords
Machine LearningNeural ArchitecturesModel TrainingData Pipeline DevelopmentProduction-Quality Code

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Machine LearningNeural ArchitecturesModel TrainingModel Fine-TuningModel EvaluationData Pipeline DevelopmentDebuggingPerformance OptimizationProduction DeploymentIterative Improvement
Soft Skills
CuriosityCoachabilityAdaptabilityOwnershipProblem-Solving
Industry Keywords
Production ConstraintsLatencyCostReliabilitySafety

About the role

Key responsibilities & impact
  • 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.
  • Help build and maintain data pipelines for real-world and synthetic data.
  • Debug model issues, performance problems, and production incidents.
  • Ship improvements iteratively and learn from real user feedback.
  • Work closely with senior ML engineers and product teams.
  • Work under real production constraints: latency, cost, reliability, and safety

Requirements

What you’ll need
  • Strong foundations in machine learning and modern neural architectures.
  • Some hands-on experience training, fine-tuning, or deploying ML models.
  • Comfortable writing production-quality code and learning new tools quickly.
  • Curious, coachable, and eager to learn from real systems in production.
  • Able to work through ambiguity with guidance and grow ownership over time.
  • Bias toward shipping, iteration, and continuous improvement.

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development opportunities
  • Health insurance