Shopmonkey is hiring a Senior ML Engineer to work on the frontier of agentic AI. You will build and ship production-ready AI agents that automate key workflows for auto shops, moving fast from discovery to production as part of a globally distributed engineering team.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- Prior experience working at a high growth startup.
- Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
- Background in data processing or real-time analytics.
- Experience with Snowflake or other large-scale data warehouse solutions.
Technical Stack
- Python, TypeScript, SQL
- TensorFlow, Hugging Face, LangChain
- GCP, AWS
- Airflow, Dagster, Snowflake
Team & Environment
You will join a globally distributed engineering team and work closely with product and design counterparts as part of a Squad.
Benefits & Compensation
- Compensation: $163,000 to $195,000 + bonus + equity
- 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.
- Matching donations for approved charitable organizations.
- Group volunteer efforts.
Work Mode
This position is hybrid, with locations in Remote - Texas.
Shopmonkey provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
