Samsung Ads - Senior Staff Machine Learning Engineer - Data Science

$220,000 - $280,000/Yr

Samsung - Mountain View, CA

Full-time - Senior

Mountain View, CA

Merchant Wholesalers, Durable Goods

About the position

The Senior Staff Machine Learning Engineer at Samsung Ads is responsible for leading a data science team to derive insights and deliver production-grade solutions that maximize the value of data. This role involves addressing product challenges, uncovering new business opportunities, and implementing data-driven solutions in a collaborative environment. The position requires a strong theoretical background in data analytics and machine learning, along with hands-on experience in applying these techniques to solve complex problems.

Responsibilities

• Lead a data science team to provide data-driven insights and deliver production-grade solutions to maximize the value of our data
• Examine business health and identify product bottlenecks in the Samsung Ads ecosystem to unveil new business opportunities
• Propose and deliver data science projects into production from end to end to drive business growth
• Apply hands-on data science techniques, including advanced analytics, machine learning, and statistics to solve challenging problems
• Work closely with the machine learning team to define and improve machine learning products
• Provide data science support to various stakeholders, including designing experiments and evaluation metrics for different products
• Effectively communicate with and present to a variety of audiences, such as the leadership team, engineering stakeholders, and product owners
• Promote a data-driven culture within the company by coaching different stakeholders

Requirements

• Master's or PhD degree in science or engineering fields
• 7+ years of industry experience with a Master's degree or 5+ years of industry experience with a PhD degree
• Solid theoretical background in data analytics, data mining, machine learning, and statistics
• Outstanding problem-solving skills and creative thinking
• Proficiency in SQL and databases
• Strong programming skills in Python, Go, or other OOP languages
• Experience with mainstream big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML)
• Excellent communication and interpersonal skills

Nice-to-haves

• Hands-on experience with production-grade machine learning solutions and/or software development
• Experience with the advertising industry and real-time bidding (RTB) ecosystem

Benefits

• Competitive salary range between $220,000 and $280,000 based on experience and skills
• Opportunities for professional growth and development
• Inclusive culture and diverse workforce
• Reasonable accommodations for qualified individuals with disabilities