Member Of Technical Staff, Machine Learning (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Member of Technical Staff, Machine Learning (AI): Building core ML components for a proactive smart assistant to automate daily workflows with an accent on high reliability for long-running workflows and multi-step reasoning. Focus on fine-tuning models, implementing rigorous evaluation systems, and optimizing ML performance under production constraints like latency and cost.
Location: Remote (Ireland)
Company
is developing a proactive AI-native smart assistant designed to bring intelligence to daily conversations and workflows for billions of users.
What you will do
- 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 and refine model behavior.
- Maintain data pipelines for real-world and synthetic data.
- Debug model issues, performance bottlenecks, and production incidents.
- Ship improvements iteratively based on real user feedback under latency, cost, and safety constraints.
Requirements
- Location: Must be based in Ireland
- Proficiency in Python, PyTorch, or JAX.
- Experience with production ML systems running on GPUs.
- Strong foundations in machine learning and modern neural architectures.
- Hands-on experience training, fine-tuning, or deploying ML models.
- Ability to write production-quality code and work through ambiguity.
Culture & Benefits
- High talent density environment with a world-class, small team.
- Collective decision-making process and rapid execution speed.
- Culture of shipping high-quality work while maintaining a fast learning loop.
- Opportunity to work on a product with potential global impact for billions of users.
Hiring process
- Technical evaluation of applications by team members.
- A series of 3 to 4 interviews conducted via virtual meetings or onsite.
- Prompt decision-making process focusing on transparency and efficiency.
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