Staff ML Engineer — AI Systems & Production at Scale

Scowtt; Seattle (WA); On-site; USD 190,000 - 250,000; Full time

Benefits offered by this job

Standard benefits

Attractive startup equity

Job summary

Scowtt, an early-stage startup based in Seattle, is looking for a Staff+ Machine Learning Engineer to lead and evolve their ML systems powering Marketing AI and AI Sales Agents. This hands-on role involves end-to-end ownership of ML projects, from architecture to deployment, with a focus on improving conversion rates and customer value. Ideal candidates should have a Bachelor's in a related field and 6-10 years of experience in applied machine learning. Compensation ranges from $190,000 to $250,000, with benefits and equity in a growing startup.

Qualifications

• 6-10 years of experience in applied machine learning and production ML systems.
• Strong hands-on skills with Python and modern ML frameworks.
• Experience deploying and operating ML models at scale.

Responsibilities

• End-to-end ownership of ML systems, from research and modeling to deployment.
• Design and evolve next-generation conversion models using CRM and engagement data.
• Mentor senior ML engineers and improve the organization’s ML capabilities.

Skills

Python

ML frameworks (PyTorch, TensorFlow)

Applied machine learning

Production ML systems

Model architecture

Education

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

Job description

Scowtt, an early-stage startup based in Seattle, is looking for a Staff+ Machine Learning Engineer to lead and evolve their ML systems powering Marketing AI and AI Sales Agents. This hands-on role involves end-to-end ownership of ML projects, from architecture to deployment, with a focus on improving conversion rates and customer value. Ideal candidates should have a Bachelor's in a related field and 6-10 years of experience in applied machine learning. Compensation ranges from $190,000 to $250,000, with benefits and equity in a growing startup.