Trilyon, Inc. · 10 hours ago
AI Engineer
Trilyon, Inc. is seeking a Senior AI Quality and Safety Engineer to join their AI team. The role involves establishing quality and safety standards for AI-driven products, collaborating with cross-functional teams, and optimizing machine learning models for customer value.
Responsibilities
Architect the framework to enforce and maintain the highest quality and safety standards for our AI driven product offerings
Collaborate closely with cross-functional teams (embedded, apps, platform, QA, product, and UX) to successfully deploy AI solutions to our large customer base
Test and refine advanced machine learning models, optimizing them for both edge and cloud environments
Develop comprehensive datasets and evaluations that allow us to gauge the quality and safety of our offerings
Continuously monitor and maintain the performance of AI features in production, ensuring ongoing customer value and discover iterative improvements
Qualification
Required
Bachelor's, Master's, PhD in Data Science, Mathematics, Computer Science, Computer Engineering, Electrical Engineering or related field and 3-5 years of relevant experience
Strong analytical and problem-solving skills
AI/ML Experience: Data structures, curation, annotation, pipelines, model training, fine-tuning, and evaluation
LLM and GenAI training and evaluation
Computer vision training and evaluation
Programming and Technical Proficiency: Python, Shell, Embedded Linux, Git
Preferred
C++, Rust Programming
Computer Vision: Classification, Object Detection, Segmentation, Tracking, Recognition, VLM, Pose, Vector Embeddings, Re-ID, OpenCV
ML frameworks: TensorFlow, PyTorch
Data Engineering: FiftyOne, CVAT, Vertex AI, Label Studio
Data Visualization/Story Telling and Data Wrangling/Munging/Big Data
MLOps/DevOps: DVC, CML, GTO, Gitlab Pipelines
Cloud: GCP (Vertex AI/Storage/Cloud Functions), AWS, Azure
Databases: SQL, NoSQL, Vector, Time Series, Graph
Transformers, LLMs, Knowledge Graphs
Multimedia pipelines: GStreamer, ffmpeg, mediapipe
Edge computing, Embedded Systems, and IoT Devices
Model compression techniques
Image, Audio, Radar, Signal Processing
Communication Protocols: gRPC, MQTT, WebRTC, Wi-Fi, Bluetooth
Experience working with secure, scalable, high-availability, low latency, and distributed solutions
JIRA and Confluence proficiency