Bjak
Member of Technical Staff, Machine Learning
Rol remoto de Junior Machine Learning Engineer con fit claro de ubicación del candidato.
Publicado1 jul 2026
Países elegibles1 país aceptado
Señal de seniorityJunior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Reino Unido
Resumen del rol
Member of Technical Staff, Machine Learning
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Focus
- 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
Tech Stack
- Python
- PyTorch / JAX
- Production ML systems running on GPUs
Ideal Experience
- 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.
Outcomes
- ML models in production meet expected accuracy, latency, and reliability targets.
- Production issues are identified quickly, debugged effectively, and root causes addressed.
- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.
- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.
- Iterations on models and systems are driven by real-world signals and measurable improvements.
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