Member of Technical Staff, Machine Learning

BJAK

Member of Technical Staff at A1 Engineering building core ML components while improving production ML systems. Work involves data pipelines, model adaptations, and collaboration with senior teams under real constraints.

Posted 7/19/2026full-timeRemote • 🇪🇸 SpainLeadWebsite

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

CuriosityCoachabilityOwnershipAdaptabilityCollaboration

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 working arrangements