Machine Learning Engineer Resume Template (2026)
An ML engineer resume covering model development, deployment, and production ML systems.
Chen Wei
// Summary
Machine Learning Engineer with 5 years of experience building and deploying production ML systems at scale. Deep expertise in NLP, recommendation systems, and MLOps. Shipped models serving 10M+ daily predictions at sub-20ms latency.
// Experience
Pinterest · Senior ML Engineer · San Francisco, CA
Jan 2022 – Present
- Built the home feed ranking model using LightGBM + two-tower neural network, increasing 28-day engagement by 11%
- Designed the feature store on top of Redis + Kafka, reducing feature serving latency from 45ms to 8ms for 500+ features
- Led MLOps migration from ad-hoc scripts to Kubeflow Pipelines — reduced experiment cycle time from 3 days to 4 hours
- Implemented A/B testing framework for ML models, enabling safe simultaneous evaluation of 12 model variants
Grammarly · ML Engineer · Remote
Jul 2019 – Dec 2021
- Fine-tuned BERT-based grammar correction model, improving F1 score by 8.4% on the internal benchmark
- Deployed NLP models to ONNX + TensorRT, achieving 4x throughput improvement on GPU inference servers
- Built the model monitoring pipeline using Evidently + Grafana, catching 3 data drift incidents before user impact
// Skills
ML & AI
PyTorchTensorFlowscikit-learnHuggingFaceLightGBMXGBoost
MLOps
KubeflowMLflowAirflowONNXTensorRTRay
Infrastructure
PythonSQLAWS SageMakerSparkRedisKafka
// Education
Stanford University · M.S., Computer Science (Machine Learning)
Sep 2017 – Jun 2019
Peking University · B.Eng., Computer Science
Sep 2013 – Jun 2017
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