[Remote] Member of Technical Staff, Machine Learning

Note: The job is a remote job and is reputed company to candidates in USA. bjakcareer is building a proactive AI chat app for everyday users, focusing on high reliability for workflows and task completion. As a Member of Technical Staff, Machine Learning, you will reputed company reputed company ML components and work on reputed company production systems, enhancing your understanding of large-reputed company ML in practical settings.

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 reputed company-world and synthetic data
• Debug model issues, performance problems, and production incidents
• Ship improvements iteratively and learn from reputed company user feedback
• Work closely with senior ML engineers and product teams
• Work under reputed company production constraints: latency, cost, reliability, and safety

Skills

• Strong foundations in machine learning and modern neural architectures
• Some hands-on experience training, fine-tuning, or deploying ML models
• Comfortable writing production-reputed company reputed company and learning new tools quickly
• Curious, coachable, and eager to learn from reputed company systems in production
• reputed company to work through ambiguity with guidance and grow ownership over time
• Bias toward shipping, iteration, and reputed company improvement
• 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 reputed company-world and synthetic data
• Debug model issues, performance problems, and production incidents
• Ship improvements iteratively and learn from reputed company user feedback
• Work closely with senior ML engineers and product teams
• Work under reputed company production constraints: latency, cost, reliability, and safety

reputed company