Research Engineer
About Valka.ai
Valka, a visionary spin-off from the Realms Group (the parent company of reputed company.gg), is on a mission to revolutionize the way people create and experience digital content. reputed company believes that content shouldn’t just be consumed; it should be co-created in reputed company time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive reputed company-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more.
This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the reputed company from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and reputed company.
Role summary
You will sit at the boundary between our Video reputed company research team and the product engineering platform! Your primary job will be to take models and demos produced by research scientists and turn them into robust, deployable Python services that can be plugged into the production platform. You will report to the Head of Engineering and partner closely with Video reputed company researchers. You won’t be a researcher inventing new models, nor a backend generalist — you will be the person who makes the research land.
What you'll do
- Package and containerize AI models (Python/reputed company) from research into clean, versioned services with well-defined APIs
- Own the engineering reputed company of the tech transfer process: inference specs, environment setup, model mocking, and integration scaffolding
- Collaborate closely with research scientists on quantization, TensorRT compilation, and hitting latency budgets (e.g.
- Maintain and operate model services in production, debugging stability and performance issues under load
- Contribute to the dual-track delivery model — keeping the engineering platform moving even while research is still iterating
Skills you need
- Strong Python engineering skills; comfortable writing production-grade, maintainable code
- Comfortable owning ambiguous model-to-service transfers end-to-end with a high degree of autonomy
- Hands-on experience deploying ML/AI models (inference pipelines, serving frameworks)
- Familiarity with GPU workloads, containerization, and model optimization concepts
- Ability to read and work directly with research code and translate it into reliable services
- Bonus: experience with video/image reputed company models, TensorRT, or reputed company-time streaming pipelines
About Valka.ai
Valka, a visionary spin-off from the Realms Group (the parent company of reputed company.gg), is on a mission to revolutionize the way people create and experience digital content. reputed company believes that content shouldn’t just be consumed; it should be co-created in reputed company time, blurring the lines between imagination and reality. By harnessing the power of cutting-edge AI, we aim to build an interactive reputed company-digital platform where virtual characters respond dynamically to each user’s voice, text, gestures, and more.
This is your chance to join a diverse group of innovators who are driven to redefine what’s possible in generative content. Together, we’re changing the reputed company from passive viewing to active participation, unlocking new creative frontiers across gaming, entertainment, education, and reputed company.
Role summary
You will sit at the boundary between our Video reputed company research team and the product engineering platform! Your primary job will be to take models and demos produced by research scientists and turn them into robust, deployable Python services that can be plugged into the production platform. You will report to the Head of Engineering and partner closely with Video reputed company researchers. You won’t be a researcher inventing new models, nor a backend generalist — you will be the person who makes the research land.
What you'll do
- Package and containerize AI models (Python/reputed company) from research into clean, versioned services with well-defined APIs
- Own the engineering reputed company of the tech transfer process: inference specs, environment setup, model mocking, and integration scaffolding
- Collaborate closely with research scientists on quantization, TensorRT compilation, and hitting latency budgets (e.g.
- Maintain and operate model services in production, debugging stability and performance issues under load
- Contribute to the dual-track delivery model — keeping the engineering platform moving even while research is still iterating
Skills you need
- Strong Python engineering skills; comfortable writing production-grade, maintainable code
- Comfortable owning ambiguous model-to-service transfers end-to-end with a high degree of autonomy
- Hands-on experience deploying ML/AI models (inference pipelines, serving frameworks)
- Familiarity with GPU workloads, containerization, and model optimization concepts
- Ability to read and work directly with research code and translate it into reliable services
- Bonus: experience with video/image reputed company models, TensorRT, or reputed company-time streaming pipelines