Multimodal AI Model Optimization Research Engineer

Tavus

Research Engineer focusing on optimizing AI models for multimodal interactions. Working with a collaborative team on groundbreaking human-AI interaction technologies.

Posted 7/10/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in deep learning model optimization and compression techniques, including knowledge distillation and quantization, while effectively collaborating with researchers and engineers to develop deployable systems.

Highest-signal resume keywords

Deep Learning Using PyTorchModel Optimization and CompressionKnowledge DistillationQuantizationPython Coding Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model OptimizationKnowledge DistillationPruning/SparsificationQuantizationMixed PrecisionInference PerformanceGPU FundamentalsCloud EnvironmentsLarge ModelsResearch Engineering Practices

Soft Skills

Clear CommunicationCollaboration Skills

Industry Keywords

Efficient ArchitecturesLow-Rank AdaptersBenchmarkingLatencyCostQuality

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

Take cutting-edge research models and make them fast, efficient, and production-ready using sparsification, distillation, and quantization
Own the optimization lifecycle for key models: define metrics, run experiments, and benchmark trade-offs across latency, cost, and quality
Partner closely with researchers and engineers to turn new ideas into deployable systems

Requirements

What you’ll need

Strong experience in deep learning using PyTorch
Hands-on experience with model optimization and compression, including knowledge distillation, pruning/sparsification, quantization, and mixed precision
Understanding of efficient architectures such as low-rank adapters
Strong understanding of inference performance and GPU/accelerator fundamentals
Strong Python coding skills and reliable research engineering practices
Experience working with large models and datasets in cloud environments
Ability to read ML papers, reproduce results, and adapt ideas
Clear communication and collaboration skills

Benefits

Comp & perks

flexible work schedules
unlimited PTO
competitive healthcare and gear stipends
collaborative environment focused on learning and impact