Mô tả công việc
Own end-to-end system development across data pipelines, model development, evaluation, and deployment for AI-powered products
Design and build scalable, production-grade systems for real-time perception, multimodal understanding, and decision-making
Develop and deploy models across cloud and edge environments, including resource-constrained devices
Architect and optimize full-stack AI pipelines, including: Data collection, curation, and labeling strategies
Training, fine-tuning, and evaluation of CV/NLU/ML/MLLM models
Inference optimization (latency, throughput, cost, power)
Translate research advances in computer vision, NLU, GenAI, and multimodal LLMs into production systems
Collaborate cross-functionally with MLE, hardware, firmware, and product teams to integrate AI into real-world systems
Optimize solutions for hardware-specific acceleration (GPU, NPU, DSP) and edge deployment
Define and drive evaluation frameworks and metrics to ensure system performance, reliability, and safety
Lead technical direction for complex, ambiguous problems and influence system architecture across teams
Contribute to technical design docs, internal knowledge sharing, and long-term platform strategy
Yêu cầu
Master's, or PhD in Computer Science,
Electrical Engineering, or related field
8+ years of industry experience building production systems
Strong programming skills in Python/C++ and experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Proven experience delivering end-to-end systems from concept to production
Deep expertise in one or more areas: Computer Vision (detection, tracking, segmentation, video understanding)
Multimodal AI / MLLMs
GenAI and large-scale model systems
Experience building and scaling distributed systems or cloud-based ML pipelines
Experience optimizing models for latency, cost, and deployment constraints
Quyền lợi
Medical, Dental and Vision Insurance
Robust Paid Time Off policy
Bonuses
Lunch allowance
Cell phone stipend
Free LinkedIn Learning account or Udemy account
Access to 24/7 online emotional and mental support
Gym membership
Free parking
Stocked fridges and pantries - free coffee, cold beverages, snacks
Annual Company Outing Trip
Monthly team social activities
Thông tin khác
Nice to have
Experience deploying AI both on Cloud (AWS, AzureML), edge devices (e.g., mobile, embedded systems, robotics platforms on Qualcomm, NVIDIA, Intel)
Familiarity with hardware acceleration frameworks (TensorRT, ONNX, SNPE, etc.)
Experience with real-time systems and streaming data pipelines
Knowledge of multimodal data processing (vision, audio, text, sensor fusion)
Experience with AWS or other cloud platforms for large-scale inference and training
Strong system design and architecture skills across cloud ↔ edge environments
Track record of technical leadership, mentoring, and driving cross-team initiatives
Experience in privacy-preserving AI, security, or safety-critical systems
Thông tin chung
Nơi làm việc
- Vietnam, Ho Chi Minh City