staff machine learning engineer resume example with 6+ years of experience

Jessica Claire
  • , , 609 Johnson Ave., 49204, Tulsa, OK 100 Montgomery St. 10th Floor
  • H: (555) 432-1000
  • C:
  • Date of Birth:
  • India:
  • :
  • single:
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Staff machine learning engineer with 5 years' experience in developing CV/NLP, robotics, and autonomous driving applications; also skilled in general Python/C development.

  • Experienced in AI development including operator, algorithm, and applications.
  • Skilled in production R&D of AI model compression including sparsity, quantization, distillation
  • Proficient in AI model optimization for product deployment. Especially for Transformer-based model acceleration, e.g. LLM.
  • Familiarity with SQL/NoSQL databases, big data technologies (such as Hadoop and Spark), and cloud platforms;
  • Strong understanding of operating systems, data structures and algorithms, object-oriented design, and TCP/IP protocols;
  • Proficiency in programming languages such as Python, SQL, Matlab, C++, Java, C#, and JavaScript.
  • Experienced in project management
Staff Machine Learning Engineer, 12/2021 - Current
Paypal Stockholm, ME,

Lead a team of machine learning engineers to work on AI model optimization and deployment, simulation data generation, autonomous pipeline development, and autonomous driving algorithm benchmarking for SOC design, etc.

  • Optimize algorithm performance for deployment to products, including improving network architecture, optimizing operators and computing graphs, and compressing networks using techniques such as sparsity (including channel-wise sparsity, 2:4 sparsity, sensitivity analysis, and pruning), quantization (exploring methods to improve speed/accuracy of quantization algorithms; exploring mixed-precision search based on sensitivity and data analysis; improving model compatibility for quantization), and distillation methodologies.
  • Contribute to building an end-to-end autonomous driving pipeline based on Carla, using hardware-in-the-loop testing. Optimize AI algorithms for edge deployment. Build the pipeline with Huawei's RTOS for autonomous driving.
  • Benchmark autonomous driving algorithms for hardware-software co-design. Research and collect algorithms for perception, prediction, and planning in the autonomous driving pipeline, from both production and state-of-the-art academia algorithms. Optimize AI algorithms for deployment and profile their performance to identify bottlenecks. Optimize CPU-based algorithms with Arm SVE to evaluate SIMD performance of different Arm micro-architectures. Analyze 'Transformer'-based algorithms in detail and explore acceleration techniques for better inference performance.
Senior Machine Learning Engineer & Project Manager, 10/2019 - 12/2021
Huawei Technologies Canada Ltd. City, STATE,

Led a team of machine learning engineers to promote the technology ecosystem. This included technical training, open-source projects and communities, technical cooperation, and more. Manage the entire project process, from initiation and budgeting to reporting and completion. Oversaw personnel recruitment, training, and management, as well as agile project management.

  • Robotics: Drone & Car platform. Optimize algorithms for recognizing hand, head, and body poses for edge deployment. Build a pipeline with ROS and interface it with a real drone and car. Develop a simulation platform to accelerate development based on Gazebo and Ai2thor.
  • Build and optimize 10+ General CV & NLP Applications for academic paper punishment and open-source projects.
  • Deployment of NPU Training Cluster & Setup of Cloud Platform
  • Technical cooperation with universities, industries, research institutions, and communities to create a technical ecosystem. Provide technical training for both internal and external trainers and users.
Data Scientist (NLP), 03/2019 - 10/2019

Research and develop automated ticket classification service to reduce the manual efforts of SAP support agents in ticket processing. The accuracy of ticket classification can be improved by 10%.

  • Design deep-learning-based NLP algorithm for text classification.
  • Build 'Text Preprocessing' microservice using Python Flask, NLTK, Pandas, Spacy, and fuzzy search. Use DASK framework for parallel/distributed computing.
  • Create Admin UI for model management using Javascript React.
  • Build Monitoring Dashboard to visualize models' live performance metrics and test results.
Software Quality Engineer (HANA Database), 04/2017 - 03/2019
  • Analyzing, testing, and resolving defects in database products to improve product quality.
  • Conducting preliminary research on intelligent database management using machine learning.
Education and Training
Ph.D.: Electrical And Computer Engineering, Expected in 06/2016
University of Alberta - Edmonton, AB
Status -
  • Research on modeling, statistical analysis, and optimization of wireless communication networks.
  • Skills: data processing, statistical analysis, convex optimization, analytical and programming.
Bachelor of Science: Electrical And Computer Engineering, Expected in 06/2010
Tongji University - Shanghai, China,
Status -
  • Electrical and Computer Engineering, major in Intelligent Control System, GPA 3.6/4, Top 5
  • RoboCup 2010,2011. Design robotic AI in the areas of game strategy, robotics motion control, and computer vision using Python and C++. Team reached quarter-final in the world-wide event.; Developed UI tool for game strategy simulation using C++ Qt.
Websites, Portfolios, Profiles

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Resume Overview

School Attended

  • University of Alberta
  • Tongji University

Job Titles Held:

  • Staff Machine Learning Engineer
  • Senior Machine Learning Engineer & Project Manager
  • Data Scientist (NLP)
  • Software Quality Engineer (HANA Database)


  • Ph.D.
  • Bachelor of Science

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