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# Senior Staff Machine Learning Engineer

- **Company:** SCOWTT INC.
- **Location:** Seattle, WA, United States
- **Experience:** Expert
- **Salary:** $220,000.0 - $280,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Secure Coding, Software Engineering, Pytorch, Transfer Learning, Large Language Models, Information Technology, Machine Learning Operations, GPT, Recurrent Neural Networks
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-staff-machine-learning-engineer-seattle-wa--32b144ed-0285-4deb-abfd-2b756d9f0f01

## About the Role

Machine Learning, Startup, Sales, Customer Relationship Management (CRM), Marketing, Onboarding, Artificial Intelligence (AI), Customer Conversion, Machine Learning, Artificial Intelligence (AI) Agents, Must Have

 * 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 in deploying and operating ML models at scale
 * 6-10 years of experience and strong hands-on skills with Python and modern ML frameworks (PyTorch, TensorFlow)

Should Have

 * Experience designing models for prediction, ranking, recommendation, or personalization
 * Strong understanding of LLM fine-tuning techniques and production usage
 * Ability to operate across research, experimentation, and high-scale production systems
 * Proven ability to influence technical direction through architecture and execution

Nice to Have

 * Experience with transformer-based sequence models or multimodal architectures
 * Familiarity with ad-tech, mar-tech, sales-tech, or CRM ecosystems
 * Experience building ML platforms, experimentation systems, or MLOps tooling
 * Experience leading multi-quarter ML initiatives

## Description

We are looking for a Senior Staff Machine Learning Engineer to lead and evolve the ML systems that power our Marketing AI and AI Sales Agents.

This is a hands-on technical leadership role owning ML end-to-end - from model architecture and experimentation to production, scale, and long-term system health. You will build core IP: models that directly influence conversion rates, ROAS, and customer value across major ad networks.

What You'll Do

 * 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, CRM, and engagement data
 * Fine-tune and specialize LLMs (e.g., SFT, LoRA, PEFT) to power AI Sales Agents focused on reasoning, persona alignment, and long-term conversion outcomes
 * Drive high-speed feedback loops between ML systems and ad platforms
 * Design systems for continuous training, monitoring, and rapid experimentation
 * Solve systemic ML problems around data quality, drift, reliability, and velocity
 * Mentor senior ML engineers and raise the organization's ML bar
 * Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.