Updated 17h ago

Job Description

Member of Technical Staff, Machine Learning, Artificial Intelligence (AI) Required, Work From Home

As a Member of Technical Staff, Machine Learning, you will build core ML components. The Member of Technical Staff will work on real production systems from day one, learning how large-scale ML behaves outside of research settings. The Member of Technical Staff role is for engineers who want to develop strong systems judgment by shipping, debugging, and iterating on real-world ML. This position is 100% Remote.

Member of Technical Staff 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

Member of Technical Staff Outcomes:

- ML models in production meet expected accuracy, latency, and reliability targets.

- Production issues are identified quickly, debugged effectively, and root causes addressed.

- Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable.

- Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features.

- Iterations on models and systems are driven by real-world signals and measurable improvements.

Qualifications

Member of Technical Staff Qualifications:

- Strong foundations in machine learning and modern neural architectures.

- Artificial Intelligence (AI) experience required.

- 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.

- Tech Stack: GPU, JAX, ML, Machine Learning, Python, and PyTorch.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

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