Headquarters: California, US
URL: https://www.chess.com/about
About You
You consider within the energy of ML and AI to construct superb, fascinating, and insightful services for humanity… and also you’d love to try this in chess!
What you will do
- Personal ML-driven product options, figuring out alternatives by way of to modeling, deployment, experimentation, and affect.
- Associate with Product, Management, Development, and Knowledge Science to find out which issues ought to (and shouldn’t) be solved with ML, outline success metrics, and iterate primarily based on real-world efficiency.
- Design, construct, and ship scalable ML programs, together with knowledge pipelines, coaching workflows, and manufacturing mannequin serving infrastructure.
- Prototype quickly and iterate recurrently, growing repeatable analysis frameworks, working experiments, and enhancing fashions primarily based on outcomes
- Form our ML structure and MLOps practices, establishing requirements for experimentation, deployment, monitoring, and retraining as we scale.
- Drive innovation in Generative AI, exploring how we are able to greatest use LLMs and brokers to energy new person experiences and inner productiveness instruments.
- Present technical management and mentorship, mentoring extra junior group members, influencing our roadmap, and elevating AI/ML literacy throughout the corporate.
Most well-liked Expertise
- 5+ years of demonstrated, hands-on expertise constructing scaled ML programs, coaching massive ML fashions, or equal expertise.
- 1+ 12 months of AI engineering expertise.
- Robust technical abilities and judgment round coding, testing, and constructing for scale.
- Robust sensible ML data, stable data of ML principle, and a working understanding of the AI utility stack and lifecycle within the context of basis fashions, from analysis to deployment.
- Excessive sense of possession and a drive to ship affect in a fast-paced, evolving, ambiguous setting.
In regards to the Alternative
- This can be a full-time alternative
- We’re 100% distant (work from anyplace!)
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You’ll be able to study extra about us right here:
- https://www.chess.com/article/view/how-chess-com-virtual-team-works-together
- https://www.chess.com/about
To use: https://weworkremotely.com/remote-jobs/chess-com-senior-ml-engineer
