# Senior ML Engineer

**Company:** [Chess.com](https://hotfix.jobs/companies/chess-com)
**Location:** Remote
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Machine Learning, MLOps, Generative AI, LLMs, AI Agents, Data Pipelines, Model Training, Model Deployment, Python, Experimentation Frameworks
**Posted:** 2026-03-06

> Senior ML Engineer owns ML-driven product features end-to-end, from ideation to deployment and impact measurement. Partners cross-functionally to build scalable ML systems, drive Generative AI innovation, and mentor juniors. Requires 5+ years ML experience and strong AI engineering skills.

## Job Description

## What you'll do
- **Own ML-driven product features**, identifying opportunities through to modeling, deployment, experimentation, and impact.
- **Partner with Product, Leadership, Growth, and Data Science** to determine which problems should (and shouldn’t) be solved with ML, define success metrics, and iterate based on real-world performance.
- **Design, build, and ship scalable ML systems**, including data pipelines, training workflows, and production model serving infrastructure.
- **Prototype rapidly and iterate regularly**, developing repeatable evaluation frameworks, running experiments, and improving models based on results.
- **Shape our ML architecture and MLOps practices**, establishing standards for experimentation, deployment, monitoring, and retraining as we scale.
- **Drive innovation in Generative AI**, exploring how we can best use LLMs and agents to power new user experiences and internal productivity tools.
- **Provide technical leadership and mentorship**, mentoring more junior team members, influencing our roadmap, and raising AI/ML literacy across the company.

## Preferred Skills
- 5+ years of demonstrated, hands-on experience building scaled ML systems, training large ML models, or equivalent experience.
- 1+ year of AI engineering experience.
- Strong technical skills and judgment around coding, testing, and building for scale.
- Strong practical ML knowledge, solid knowledge of ML theory, and a working understanding of the AI application stack and lifecycle in the context of foundation models, from evaluation to deployment.
- High sense of ownership and a drive to deliver impact in a fast-paced, evolving, ambiguous environment.

## Similar roles

- [Senior Machine Learning Engineer, Agent Oversight](https://hotfix.jobs/jobs/1f504a69-044f-47ab-872b-120a1706cd88) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, Agent Oversight](https://hotfix.jobs/jobs/808ce719-6b16-4b6e-8887-8c8f8a780b75) - Scale AI - San Francisco, CA - $216k – $270k/yr
- [Senior Software Engineer, AI Infrastructure](https://hotfix.jobs/jobs/dd1c3420-6c0a-47ed-a1a7-de401bdf506c) - Ambient.ai - Redwood City, CA - $168k – $205k/yr
- [Senior Software Engineer](https://hotfix.jobs/jobs/423c60aa-ca4c-400d-babe-a50099433cbb) - SpotOn - Chicago, IL - $160k – $190k/yr
- [Senior AI Engineer, Enterprise](https://hotfix.jobs/jobs/87a30fd1-3fe6-47f3-a0a1-da444f3c00f4) - Snowflake - Menlo Park, CA - $156k – $224k/yr

**Apply:** https://hotfix.jobs/jobs/a23a62a8-2b94-4e9d-b072-5a0be61b8ea8
**Canonical:** https://hotfix.jobs/jobs/a23a62a8-2b94-4e9d-b072-5a0be61b8ea8