Senior Machine Learning Engineer, On-Device & Mobile AI Optimization
Tasks
- Apply graph transformation
- Apply knowledge distillation
- Apply model quantization
- Apply structured pruning
- Apply unstructured pruning
- Apply weight sharing
- Assess efficient inference breakthroughs
- Build model packaging pipelines
- Contribute to performance regression gates
- Eliminate bottlenecks
- Enable zero copy buffer sharing
- Export models
- Implement crash quality telemetry
- Implement memory pooling
- Implement on device fallback tiers
- Implement operator fusion
- Implement real-time scheduling
- Integrate ML runtime with game engine
- Manage frame budget
- Mentor junior and mid-level engineers
- Optimize on device inference pipeline
- Partner with research scientists
- Perform hardware specific optimization
- Productionize multimodal architectures
- Profile inference performance
- Set up automated on device benchmarking in CI
- Surface hardware constraints to research
- Track latency quality memory power KPIs
- Tune GPU kernels
- Tune memory layout
- Write WebGPU compute shaders
Perks/Benefits
- Commute subsidy
- Comprehensive health insurance
- Disability insurance
- Employee assistance program
- Employee resource groups
- Employee stock ownership
- Generous vacation and personal days
- Life insurance
- Mental health and wellbeing programs
- Office Food Snacks
- Parental leave support
- Retirement pension plans
- Training and development programs
- Volunteering and donation matching program
Skills/Tech-stack
Benchmarking | CI | CUDA | Chrome GPU Tracing | Compute Shaders | CoreML | Crash telemetry | Diffusion Models | Efficient Attention | Executorch | FP16 | Graph Transformation | INT4) | INT8 | Instruments Metal System Trace | JavaScript | Knowledge Distillation | Language Models | Machine Learning | Memory layout | Memory pooling | Metal | Mobile GPU | Mobile SoCs | Model Pruning | Model export | NPU | Nsight | ONNX Runtime | ONNX Runtime Web | Operator fusion | Pix | Profiling | Python | Quantization | Real Time | Real-time scheduling | RenderDoc | SPIR-V | Snapdragon Profiler | Structured pruning | TFLite | TensorFlow.js | Time Scheduling | Transformer | Transformers.js | TypeScript | Unstructured Pruning | Vision Language Models | Vision-language | Vulkan | WGSL | WebGPU | WebLLM | Weight Sharing | Zero copy
Education
N/A
Regions
Countries
States
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