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Samsung Ads · 2 hours ago

Engineer II, Machine Learning Software

645 Clyde Avenue, Mountain View, CA, USA

Full-time

Onsite

Entry, Mid Level

$200K/yr - $210K/yr

2+ years exp

Samsung Electronics America is seeking an Engineer II for their Machine Learning Software team. The role involves developing machine learning algorithms to solve business problems, optimizing product performance, and managing the full ML lifecycle from data exploration to model deployment.

Marketing & Advertising

No H1B

Responsibilities

Develop machine learning algorithms that can solve business problems by learning from data, evaluate, and analyze for optimization

Evaluate business areas and apply where the machine learning algorithms can be applied, and lead innovation to increase our product competitiveness

Set performance evaluation standards for computer vision algorithms and conduct quantitative and qualitative evaluation of performance

Act as data scientist of the Samsung Ads Platform Intelligence (PI) team to leverage unique data to build and deploy impactful machine learning solutions

Focus on applying advanced ML techniques to address key product challenges, identify new revenue opportunities, and optimize performance across the Samsung Ads platform

Responsible for the full ML lifecycle – from problem definition and data exploration to model development, deployment, and monitoring – working closely with a talented team of engineers and researchers

Develop & Deploy ML Models including designing, building, and productionizing machine learning models to solve complex problems in areas like ad targeting and performance prediction

Data-Driven Optimization including utilizing statistical analysis, experimentation (A/B testing), and machine learning to optimize platform performance and drive business growth

ML Product Improvement including collaborating closely with the ML engineers to define, refine, and improve existing machine learning products and features

Take ownership of data science projects from inception to production, ensuring scalability and reliability

Data Exploration & Feature Engineering including extracting, cleaning, and transforming unique datasets to create impactful features for machine learning models

Effectively communicate complex technical findings and insights to both technical and non-technical audiences, including leadership, product owners, and engineering teams

Contribute directly to the success of a leading advertising platform

Qualification

Machine Learning algorithmsData ModelingBig Data TechnologiesPythonGoData Wrangling & IntegrationStatistical theoriesModel validationData manipulation librariesFeature engineeringQuantitative evaluationCommunication skills

Required

Master's degree in Computer Science, Mathematics, Operations Research, a related field, or a foreign equivalent plus 2 years of post-baccalaureate experience in job offered or any engineering/data scientist related job titles

At least 2 years of experience in Data Wrangling & Integration including identifying, accessing, and integrating diverse data sources, including addressing data limitations and extending data applicability

At least 2 years of experience in statistical theories and methodologies, including hypothesis testing, regression analysis, Bayesian methods, causal inference, time series analysis, and experimental design (A/B testing)

At least 2 years of experience in Data Modeling including transforming raw data into features and feature engineering techniques, including variable transformation, bucketization, and creation of calculated variables

At least 2 years of experience in Machine Learning model developing from feature engineering to production deployment

At least 2 years of experience in Machine Learning algorithms (DNNs, RNNs, LSTMs, Gradient Boosting, XGBoost, SVMs, VAR, NNAR, and Logistic Regression)

At least 2 years of experience in model validation, including bias detection and error analysis

At least 2 years of experience in Big Data Technologies including experience with Spark and AWS data processing services

At least 2 years of experience in Python or Go

At least 2 years of experience in data manipulation libraries (Pandas, NumPy, Scikit-learn)