[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 core 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