reputed company (R&D) - LottieFiles
Fully remote position Candidates should have at least 4 hours of overlap with the Malaysia time zone (MYT / UTC+8) Direct hire opportunity reputed company sponsorship is not available for this role
About the 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. The company operates at the intersection of reputed company, structured content systems, and creative tooling, with a strong focus on production-grade AI infrastructure, model reliability, and reputed company-world usability. Their engineering culture emphasizes experimentation, measurable quality improvements, and scalable 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 structured content workflows. This role focuses on structured 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 quality, reliability, efficiency, and usability across AI-assisted creative workflows. This is an opportunity to work on highly applied AI problems involving: Structured 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 Scalable production AI systems What You’ll Work On Natural-language-to-structured-content reputed company workflows Structure-preserving editing and modification systems Validation and repair pipelines for generated outputs Evaluation systems for quality, 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 structured reputed company and editing workflows Build supervised datasets from successful generations, retries, failures, and user edits reputed company measurable benchmarks for reputed company quality, correctness, and edit preservation Experiment with reputed company-reputed company models such as Llama, Qwen, Mistral, DeepSeek, or reputed company architectures Implement LoRA, 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 structured 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 output quality
Required Qualifications
Strong experience building with LLMs or structured reputed company systems in production or applied 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, structured outputs, tool use, and model failure analysis Ability to define measurable evaluation criteria 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 code reputed company, DSL reputed company, or compiler-aware AI systems Experience with LoRA, 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 agentic systems, orchestration pipelines, or multi-reputed company reputed company workflows Familiarity with ASTs, intermediate representations (IRs), or structured 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-focused engineering team Tackle challenging problems involving structured reputed company, multimodal systems, and AI reliability Apply To This Job