Machine Learning Engineer

3 weeks ago


Mountain View, California, United States Samsung Electronics Co., Ltd. Full time
Job Description

Samsung Ads is an innovative advertising technology company that specializes in enabling advertisers to connect with audiences from Samsung devices as they are exposed to digital media. The company uses industry-leading data to build the world's most advanced advertising platform.

We are proud to have built a global 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.

The role of Machine Learning Model Engineer lies at the core of the advertising industry, and 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 on 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. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast-growing team.

Key Responsibilities

  • Lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile ads market.
  • Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals, such as ads click (pCTR), app-install optimization, ROAS optimization, retention, etc.
  • Research the latest machine learning technologies with industry trends, create prototypes of new ML solutions quickly, and deploy the solution into production.
  • Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.
  • Closely work with different internal ML teams (e.g., ML platform, ML serving, and MLOps teams) to improve our codebase and product health.
  • Closely work with cross-functional partner teams in global settings to deliver new ML features and solutions and achieve business objectives.
  • Mentor junior engineers and provide technical guidance.
  • Learn quickly and adapt to a fast-paced working environment.
Requirements

  • A Master's or PhD degree in Computer Science or related fields.
  • 4+ years of industry experience with a Master's degree or 2+ years of industry experience with a PhD degree.
  • Solid theoretical background in machine learning and/or data mining.
  • Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.).
  • Hands-on experience with production-grade machine learning solutions.
  • Experience with mainstream big data tools (e.g., MapReduce, Spark, Flink, Kafka, etc.).
  • Extensive programming experience in Python, Go or other OOP languages.
  • Familiarity with data structures, algorithms and software engineering principles.
  • Proficiency in SQL and databases.
  • Strong communication and interpersonal skills to drive cross-functional partnerships.
Preferred Requirements

  • Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, SIGIR, AAAI, IJCAI, etc.).
  • Basic knowledge about Amazon Web Services (AWS).
  • Experience with the advertising industry and real-time bidding (RTB) ecosystem.
Compensation and Benefits

This position comes with a competitive salary range of $230,000 to $280,000 per year, depending on your qualifications and experience. Regular full-time employees have access to benefits including medical, dental, vision, life insurance, 401(k), employee purchase program, tuition assistance, paid time off, student loan program, wellness incentives, and more.

#LI-JL3

Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce and providing equal employment opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Accommodations for Qualified Individuals with Disabilities

Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you have a disability and require a reasonable accommodation in order to participate in the application process, please contact our Reasonable Accommodation Team.

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