Senior ML Engineer

Job not on LinkedIn

October 30

☕ Washington – Remote

Although this job is listed in Washington, this company may be open to hiring remote in other states.

💵 $163k - $195k / year

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

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Shopmonkey

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B2B • Automotive • SaaS

Shopmonkey is a comprehensive shop management software designed to help auto repair and service shops run more efficiently and grow their business. The platform offers a wide range of features including estimates, customer communication, inventory management, workflow organization, team management, reporting, and payment processing. Shopmonkey also includes a marketing suite and integrates with popular tools like QuickBooks and CARFAX. It's a cloud-based, all-in-one solution tailored specifically for various automotive service types such as auto repair, tire shops, quick lube, truck repair, and more. With its user-friendly interface and robust support, Shopmonkey aims to streamline operations and boost profitability for shops of all sizes.

51 - 200 employees

🤝 B2B

☁️ SaaS

📋 Description

• Build and ship production-ready AI agents that automate key workflows (e.g., appointment setting, inventory ordering). • Design and implement workflows and scripts for agentic conversations based on real-world data. • Perform discovery with your Squad on key customer use cases and guide the development of use-case-driven agents. • Conduct end-to-end development including data gathering, hypothesis testing, prototyping, demoing, productionizing, and monitoring. • Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization. • Design evaluation agents to enhance the quality and coherence of autonomous conversations. • Work within a modern MLOps environment to ensure scalable and reliable deployment of models. • Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards. • Translate complex ML workflows into digestible updates for cross-functional stakeholders. • Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.

🎯 Requirements

• Proven experience shipping models into production (not just proof-of-concepts). • Proficiency in Python or TypeScript; strong SQL skills for working with large-scale data. • Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain). • Cloud infrastructure experience, (e.g. GCP, AWS). • Understanding of MLOps, including orchestration tools like Airflow or Dagster. • Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members. • Conducted code reviews and have to ability to provide constructive feedback • Bachelor’s degree in a STEM field, or equivalent practical experience. • 5+ years of industry experience in applied machine learning or AI engineering; advanced degrees (Master’s or PhD) may offset years of experience.

🏖️ Benefits

• Medical, dental, vision, and life insurance benefits available the 1st of the month following hire date • Short term and long term disability • Employee assistance program • Reimbursement for a personal health and wellness membership • Generous parental leave • 401(k) available upon hire • 11 paid holidays • Flexible time off - take the time off you need! • Matching donations for approved charitable organizations • Group volunteer efforts