Member of Technical Staff, Machine Learning

📋 Description

• • As a Member of Technical Staff, Machine Learning, you will build core ML components. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.
• • This role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML.
• • 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
• • The ideal candidate will have 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.

🎯 Requirements

• • 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.

🏖️ Benefits

• • Opportunity to work on real production systems from day one.
• • Collaborative and dynamic work environment.
• • Competitive salary and benefits package.
• • IMPORTANT CATEGORIZATION:
• • This job posting is categorized as 'Data Science' because the title 'Member of Technical Staff, Machine Learning' clearly indicates a role in machine learning.
• • The description further emphasizes the importance of machine learning and the ideal candidate's background in the field.
• • IMPORTANT LOCATION EXTRACTION:
• • city: Stockholm
• • region: Sweden
• • country_code: SE
• • is_remote: false
• • IMPORTANT RULES:
• • The job title clearly indicates a role in machine learning, making 'Data Science' the most appropriate category.
• • The description does not mention any other categories, making 'Data Science' the most specific and accurate choice.
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• • "description": "

📋 Description

🎯 Requirements

🏖️ Benefits