Senior AI/ML Systems Architect for Conversion & Growth

Scowtt; San Francisco (CA); On-site; USD 220,000 - 280,000; Full time

Benefits offered by this job

Startup equity

Standard benefits

Job summary

Scowtt is seeking a Senior Staff Machine Learning Engineer to lead end-to-end ML systems powering Marketing AI and AI Sales Agents. This hands-on technical leadership role focuses on architecture, experimentation, production, and scale.

You will mentor engineers, drive systems for continuous training, monitoring, and rapid experimentation, and ensure security best practices while improving conversion and ROAS.

Qualifications

• Bachelor’s degree in Computer Science, ML, Data Science, or equivalent.
• 10+ years of experience in software product development.
• 6-10 years of experience in applied machine learning and production ML systems.
• 6-10 years of experience and strong hands-on skills with Python and modern ML frameworks (PyTorch, TensorFlow).

Responsibilities

• End-to-end ownership of ML systems, from research and modeling to deployment and scale.
• Design and evolve next-generation conversion and value prediction models using behavioral data.
• Fine-tune and specialize LLMs to power AI Sales Agents for long-term outcomes.
• Drive high-speed feedback loops between ML systems and ad platforms.
• Mentor senior ML engineers and raise the organization’s ML bar.

Skills

Python

PyTorch

TensorFlow

ML Systems

Production ML

Education

Bachelor’s degree in Computer Science, ML, Data Science, or equivalent

Tools

PyTorch

TensorFlow

Job description

Scowtt is seeking a Senior Staff Machine Learning Engineer to lead end-to-end ML systems powering Marketing AI and AI Sales Agents. This hands-on technical leadership role focuses on architecture, experimentation, production, and scale.

You will mentor engineers, drive systems for continuous training, monitoring, and rapid experimentation, and ensure security best practices while improving conversion and ROAS.