Member of Technical Staff, Machine Learning

Stack

Responsibilities

• ▹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

• ▹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

Soft skills

About the company

A1's mission is to build a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The product focuses on reliability for long-running workflows, persistent context, and real-world task completion, aiming to reduce users' time on daily tasks by about 90%. The team is small, high-talent-density, makes decisions collectively, and moves fast.