Machine Learning Model Engineer - Recommendation Systems

This range is provided by Samsung Ads. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$240,000.00 / yr - $280,000.00 / yr

Additional compensation types

Annual Bonus and Sign-on bonus

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Position Summary

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business worldwide means that we get to work on the most challenging projects with stakeholders and teams around the globe.

We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey.

Machine learning lies at the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, we actively explore the latest machine learning techniques to improve our existing systems and products and create new revenue streams. As a machine learning model engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. A unique learning culture and creative work atmosphere will welcome you. This is an exciting and unique opportunity to get deeply involved in envisioning, designing, and implementing cutting-edge machine learning products with a growing team.

Responsibilities

• Lead a team to deliver production-grade machine learning solutions with notable business impact from end to end
• Design, develop, and deploy scalable low-latency machine learning products
• Communicate with various stakeholders to understand business requirements, manage expectations, and create effective roadmaps
• Closely work with machine learning platform and serving teams to deploy and streamline machine learning pipelines
• Optimize and scale up existing machine learning products
• Closely work with the MLOps team to ensure product health
• Closely work with external partners to introduce new machine learning features and tools
• Research the latest machine learning technologies and keep up-to-date with industry trends and developments
• Create quick prototypes and proof-of-concepts for new features
• Design and implement next-generation machine learning models with advanced technologies

Experience Requirements :

Preferred Experience Requirements :

CALIFORNIA ONLY

Compensation for this role is expected to be between $240,000 and $280,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering, Information Technology, and Advertising

Industries

Computers and Electronics Manufacturing, Advertising Services, and Technology, Information and Media

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

Student loan assistance

Tuition assistance

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