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# Staff Machine Learning Engineer

- **Company:** SCOWTT INC.
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Unstructured Data, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Prompt Engineering, Deep Learning, Build Management, Production Code, Performance Monitor, Machine Learning Operations, Feature Extraction, GPT, Automation Anywhere, Recurrent Neural Networks
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/staff-machine-learning-engineer-kirkland-wa--997b5931-cb5b-462a-bc34-9c8b5b39fa75

## About the Role

Machine Learning, Artificial Intelligence (AI), Marketing, Machine Learning, Customer Relationship Management (CRM), Unstructured Data, Sales, Process Improvement, CRM Integration, Artificial Intelligence (AI) Agents, We're looking for a hands-on technical leader who loves building ML systems that drive real business impact. You should be equally comfortable designing models, leading experiments, and shipping production code.
Core Qualifications

 * 8+ years of experience in Machine Learning, Applied AI, or related fields.
 * Proven track record leading small ML teams or pods in fast-moving, product-driven environments.
 * Strong hands-on expertise in Python and modern deep learning frameworks like PyTorch or TensorFlow.
 * Experience designing and deploying production-grade models for prediction, ranking, recommendation, or personalization.
 * Deep understanding of LLM fine-tuning techniques - including SFT, LoRA, and PEFT - and best practices in prompt engineering.
 * Solid grasp of data-centric AI workflows, feature engineering, and CRM / engagement data modeling.
 * Comfortable operating across the full spectrum - from rapid research prototypes to high-scale production systems.

Bonus Points For

 * Experience with transformer-based sequence models or multimodal architectures.
 * Familiarity with ad tech, marketing optimization, or conversion modeling.
 * Background in MLOps, experimentation platforms, or continuous training pipelines.
 * Background in Ad-tech, Sales-tech, Mar-tech, or CRM data ecosystems.

## Description

* Lead the ML function end-to-end: from model research and architecture to experimentation, deployment, and scale.
 * Build next-gen conversion models that fuse CRM, engagement, and structured & unstructured behavioral data to drive smarter conversion semantics. Drive high speed and efficient feedback loop with Ad Networks
 * Fine-tune and specialize LLMs to power our AI Sales Agents that optimizes business outcome - reasoning, persona alignment and conversion alignment over longer time horizon with seamless CRM integration
 * Collaborate cross-functionally with product, data, and engineering teams to bring bleeding-edge ML ideas to production.
 * Mentor and grow a small, world-class team of ML and data engineers., * Predictive Modeling at Scale: Build and deploy advanced sequence models and transformer-driven architectures for lead scoring, conversion prediction, and conversion value forecasting - models that actually move the ROAS needle.
 * Model Tuning & Optimization: Own the full lifecycle - from training and hyper parameter tuning to real-time performance monitoring and continuous RoAS improvement across ad platforms.
 * Opportunity Intelligence: Develop Opportunity Score Models that identify cross-sell and upsell potential, driving long-term customer value (LTV) through smarter activation.
 * Foundation Model Customization: Fine-tune and extend LLMs with RAG pipelines, optimizing for sales conversion goals and CRM-integrated conversational intelligence.
 * ML Infrastructure & Automation: Design robust systems for continuous training, monitoring, and rapid experimentation across multimodal datasets (text, voice, and behavioral signals).
 * Frontier Research & Innovation: Push the limits of representation learning, transformer-based sequence modeling, multimodal embeddings, and sales conversation understanding - bringing the latest breakthroughs straight into production.