Frontend Engineer

Senior Signal Processing Engineer

Others - Viet Nam

Outsource

Design and improve rPPG/TOI pipelines using RGB/IR video with motion/illumination compensation. Implement multi-stage preprocessing, denoising, and quality scoring. Examples: adaptive filtering, ICA/PCA variants, color-space transforms, skin ROI stabilization, signal confidence metrics. o Build cross-device normalization strategies and error-bounded estimators. Define biomarker-level acceptance criteria and failure modes for consumer-grade capture. Partner with iOS and ML teams to integrate algorithms into on-device or hybrid pipelines. Produce technical documentation suitable for regulatory-risk positioning and Apple review support. Benchmark report across device models, skin tones, lighting, and motion conditions. Biomarker feature specification sheet with recommended thresholds and confidence bands. A/B results showing improvements in stability, missingness, and downstream inference performance.

Negotiation

Senior Mobile App Development Engineer

Others - Viet Nam

Outsource

• iOS

Develop and enhance capture flows using TrueDepth, ARKit, AVFoundation, and CoreMotion. Convert algorithm requirements into reliable on-device data collection and frame synchronization. Create user-friendly quality control interface and capture-state instrumentation, including tasks such as lighting checks, face alignment, motion thresholds, occlusion detection, and retake prompts. Improve latency, thermal behavior, and battery usage for 10-second diagnostic-style capture. Ensure data privacy and compliance with privacy regulations in telemetry. Create technical documentation for the use of specific APIs and data handling for Apple's internal use. Build a modular capture SDK layer with feature flags and logging capabilities. Develop a cross-device performance matrix and tuning guide. Integrate deterministic quality control gates to minimize noisy biomarker outputs in the capture process.

Negotiation

Senior Software Engineer, Machine Learning

Ho Chi Minh - Viet Nam

Product

• Machine Learning

Building and maintaining high-scale ML pipelines using big data technologies (Spark, BigQuery, Delta Lake), writing reliable, testable, and maintainable production-ready code. Leveraging modern ML platforms like Vertex AI or Databricks to orchestrate workflows and optimizing models for both batch/offline training and real-time/streaming inference with a focus on low latency. Gaining a deep understanding of specific domain challenges (e.g., fraud detection, location spoofing) to engineer better features and network-level intelligence that go beyond algorithms. Championing best practices in software engineering, including CI/CD, automated testing, code reviews, and documentation to ensure ML systems are built to software engineering standards, not just research scripts. Acting as a technical lead for projects, defining milestones and ensuring on-time delivery, mentoring Data Scientists on engineering best practices, and collaborating with other engineers to integrate models into the wider platform.

Negotiation