Jobs · echojobs
Research Engineer, Core ML
Keystone AI · San Francisco · Indexed today
About the role
Translate new RL algorithms and optimizations into production systems for Together’s API.
Research Engineer, Core MLLocation: San FranciscoDepartment: ResearchAbout the Role This is a research engineering role with direct production impact. You won’t be publishing ideas in isolation—you will translate new RL algorithms, scheduling methods, and inference optimizations into production-grade systems that power Together’s API. Success in this role means shipping measurable improvements in latency, throughput, cost, and model quality at scale. We are looking for researchers who enjoy owni
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Responsibilities
- ▸Translate new RL algorithms into production-grade systems
- ▸Ship measurable improvements in latency, throughput, cost, and model quality at scale
Must-have skills
- ▸research engineering
- ▸ml
- ▸rl algorithms
- ▸scheduling methods
- ▸inference optimizations
FAQ
Is the Research Engineer, Core ML role at Keystone AI remote?+
This Research Engineer, Core ML position is listed as onsite (San Francisco).
What is the salary for the Research Engineer, Core ML role at Keystone AI?+
The listing states Estimated 108k-300k USD.
What seniority level is this Research Engineer, Core ML role?+
This is a unknown level position.
What skills does the Research Engineer, Core ML role require?+
Key requirements include research engineering, ml, rl algorithms, scheduling methods, inference optimizations.
How do I apply for the Research Engineer, Core ML role at Keystone AI?+
Use the "Apply on echojobs" button to open the original posting on echojobs, where you can submit your application directly to Keystone AI.