Senior Chief Engineer, Machine Learning | Samsung Internet

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Deep Learning, Git, GPUs, HTML, Image processing, JavaScript, Machine learning techniques, MATLAB Programming, MLOps tools, Natural Language Processing (NLP), Python Programming, TensorFlow

Job Description

Roles and Responsibilities

• Lead the design and development of new machine learning based privacy, security and usability features and enhancement of existing AI-based features for Samsung Internet.
• Research and discover new machine learning use cases, which can benefit Samsung Internet users in their day-to-day browsing.
• Translate business problems into machine-learning problems in collaboration with web domain experts and justify the approach with reasoning and data.
• Lead the development of data collection, training, evaluation and deployment pipelines and deliver end-to-end ML-based solution.
• Analyze data collected while using software in actual situation, measuring/inspecting the process and data quality for a ML problem.
• Supervise to develop measures on collecting and managing effective data used for training machine learning algorithm.
• Design suitable machine learning model or algorithm in accordance with the purpose of application that users want.
• Execute performance evaluation strategy to evaluate and maintain the effectiveness of developed application.
• Implementing machine-learning based back-end browser features, hooking in to existing chromium components and/or building new components on top of blink engine and chromium ML stack (primarily C++ & tensorflow-based).
• Understanding of open source chromium design principles for deployment of ML-models and creating the run-time inference pipeline within Samsung Internet’s existing modules.
• Understand browser architecture, web content and related web technologies involving HTML/JavaScript.
• Write testable and reproducible code and experiments.
• Lead code reviews and refactoring exercises for ML-based modules.
• Work closely with peers local /remote and build a high a performing team driving ML engineering excellence.
• Lead ML scrum and communicate status, issues and risks on time.
• Mentor and coach the team in resolving technical challenges, skill improvement, and career growth in machine learning domain.

Skills and Qualification Requirements

Essential Skills:

• Minimum 8+ years of software design and development experience.
• Minimum 5+ years of machine learning solution development experience.
• Excellent understanding of algorithms and data structures.
• Strong analytical, programming and debugging skills
• Strong Python & C++ development skills.
• Good mathematical background and understanding of various concepts: Probability, Statistics, back-propagation, loss functions
• Has a proven track record implementing data driven products, delivering end-to-end machine learning based solutions starting from business problem and a broad understanding of the state of the art in machine learning
• Deep understanding and working knowledge of machine learning algorithms such as Logistic Regression, Decision Trees, Random Forest, Naïve Bayes, SVMs, Deep Neural Networks.
• Deep understanding of DNN layers, topologies and popular DNN architectures.
• Good understanding of data analysis, visualization and model debugging techniques.
• Familiarity with NLP.
• Working experience of building and using automation tools to collect data, data pre-processing, labelling, training, validation and deployment.
• Knowledge and working experience with popular ML frameworks such as Scikit Learn, TensorFlow, Keras and Tensorflow Lite.
• Hands-on experience with unit test frameworks, debugging tools with excellent troubleshooting skills
• Understanding and working experience with agile software development process and version control systems such as git.
• Bachelor / master's in computer science or equivalent field

Desirable Skills:

• Familiarity & working experience with Transformers and other ML-techniques such as RL, Semi-supervised Learning.
• Familiarity & working experience with model compression techniques, on-device AI model deployment and monitoring.
• Working experience with ML-Ops.
• Working experience in Privacy preserving machine learning approaches such as federated learning.
• Knowledge of Android OS and development tools and prior experience of building android apps is required.
• Familiarity with HTML/JavaScript and dealing with web content
• Knowledge of browser architecture and its internals along with prior experience of working for Chromium-based or other web engine-based browsers or middleware.

Skills and Qualifications

• • Experienced in working on complex data-related or model-related issues where analyzing situations or data requires an in-depth evaluation of variables. Exercises judgement in selecting methods, techniques and evaluation criteria to obtain results.
  • Experience in managing people with responsibilities including performance assessments, career growth, mentorship etc.
  • Strong collaboration skills, working across team and navigating organization is a necessary skill.