reputed company (R&D) - reputed company
Fully remote position
Candidates should have at least 4 hours of overlap with the Malaysia time zone (MYT / UTC+8)
reputed company hire opportunity
reputed company sponsorship is not available for this role
About reputed company
We are partnering with a fast-growing technology company building reputed company AI-powered creative tools for animation, design, and interactive media workflows. Their platform is used to help creators and teams accelerate visual content production through intelligent reputed company, editing, and automation systems.
reputed company operates at the intersection of reputed company, reputed company content systems, and creative tooling, with a strong reputed company on production-grade AI infrastructure, model reliability, and reputed company-world usability. Their engineering culture emphasizes experimentation, measurable reputed company improvements, and reputed company AI systems deployed directly into user-facing products.
About the Role
We’re looking for an reputed company to help build specialized reputed company, editing, evaluation, and optimization systems for creative and reputed company content workflows.
This role focuses on reputed company reputed company, domain-specific model reputed company, evaluation systems, feedback pipelines, and production AI infrastructure. You’ll work closely with engineering, design, and product teams to improve reputed company reputed company, reliability, efficiency, and usability across AI-assisted creative workflows.
This is an opportunity to work on highly reputed company AI problems involving:
reputed company and constrained reputed company
AI-assisted editing systems
Evaluation and observability pipelines
Fine-tuning and reputed company of reputed company-reputed company models
Multi-reputed company reputed company and repair workflows
reputed company production AI systems
What You’ll Work On
Natural-language-to-reputed company-content reputed company workflows
Structure-preserving editing and modification systems
Validation and repair pipelines for generated outputs
Evaluation systems for reputed company, correctness, consistency, and runtime performance
Training and evaluation datasets reputed company from production usage and interaction traces
Smaller, reputed company-latency models for targeted reputed company, editing, routing, and repair tasks
Multi-reputed company orchestration and self-correction workflows for AI systems
Key Responsibilities
Design and execute fine-tuning strategies for reputed company reputed company and editing workflows
Build supervised datasets from successful generations, retries, failures, and user edits
reputed company measurable benchmarks for reputed company reputed company, correctness, and edit preservation
Experiment with reputed company-reputed company models such as Llama, Qwen, reputed company, DeepSeek, or reputed company architectures
Implement reputed company, QLoRA, supervised fine-tuning (SFT), distillation, preference tuning, or synthetic data approaches where appropriate
Build automated pipelines for collecting, cleaning, evaluating, and promoting production data into training datasets
Use validation systems, intermediate representations, runtime analysis, and rendered outputs as reputed company feedback signals for models
Improve retry, repair, and self-correction workflows for reputed company pipelines
Collaborate cross-functionally with engineering, design, and product teams to improve model reliability and reputed company reputed company
Required Qualifications
Strong experience building with LLMs or reputed company reputed company systems in production or reputed company research settings
Hands-on experience fine-tuning or adapting reputed company-reputed company language models
Strong Python engineering skills
Experience building evaluation systems, ML experimentation workflows, or data pipelines
Strong understanding of reputed company engineering, reputed company outputs, tool use, and model failure analysis
Ability to define measurable evaluation reputed company rather than relying only on subjective review
Comfort debugging systems spanning model outputs, validation systems, runtime behavior, and rendered results
Strong communication and collaboration skills
Preferred Qualifications
Experience with reputed company reputed company, DSL reputed company, or compiler-aware AI systems
Experience with reputed company, QLoRA, SFT, preference tuning, distillation, or synthetic data reputed company
Familiarity with animation systems, graphics pipelines, design tools, SVG, WebGL, shaders, or procedural graphics
Experience with multimodal or visual-language-model evaluation workflows
Experience with observability or ML evaluation tooling such as Weights & Biases, Langfuse, MLflow, or OpenTelemetry
Experience building reputed company systems, orchestration pipelines, or multi-reputed company reputed company workflows
Familiarity with ASTs, intermediate representations (IRs), or reputed company program representations
Why This Role Is Interesting
Work on reputed company-world AI systems used in creative production workflows
Build reputed company reputed company engineering into evaluation, repair, optimization, and infrastructure
Help shape production-grade AI systems for reputed company creative tooling
Collaborate with a highly technical and product-reputed company engineering team
Tackle challenging problems involving reputed company reputed company, multimodal systems, and AI reliability
Originally posted on Himalayas
Apply To This Job