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Machine Learning Model Engineer

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Samsung

Aug 13, 2024

  • Job
    Full-time
    Senior Level
  • Mountain View
  • Quick Apply

AI generated summary

  • You need a Master's/PhD in Computer Science, 5+/3+ years of experience, strong ML theory, hands-on production experience, skills in Python, SQL, big data tools, AWS, and ad industry knowledge.
  • You will lead a team to deliver ML solutions, design and deploy scalable products, manage stakeholder expectations, optimize existing models, and research new technologies while prototyping features.

Requirements

  • Master’s or PhD degree in Computer Science or related fields
  • 5+ years of industry experience with a Master’s degree or 3+ years of industry experience with a PhD degree
  • Solid theoretical background in machine learning and/or data mining
  • Rich hands-on experience with production-grade machine learning solutions
  • Proficiency in mainstream ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.)
  • 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
  • Publications in top relevant venues (e.g., TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, IJCAI, etc.)
  • Basic knowledge about Amazon Web Services (AWS)
  • Experience with the advertising industry and real-time bidding (RTB) ecosystem

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

FAQs

What is the primary focus of the Machine Learning Model Engineer role at Samsung Ads?

The primary focus of the Machine Learning Model Engineer role at Samsung Ads is to lead the development and deployment of production-grade machine learning solutions that have a notable business impact, leveraging Samsung's proprietary data to create innovative advertising technologies.

What qualifications are required for this position?

Candidates must have a Master’s or PhD degree in Computer Science or a related field, along with 5+ years of industry experience for a Master’s degree holder, or 3+ years for a PhD degree holder, and a solid theoretical background in machine learning and data mining.

What programming languages should candidates be proficient in?

Candidates should have extensive programming experience in Python, Go, or other object-oriented programming languages.

Is experience in the advertising industry preferred?

Yes, experience with the advertising industry and the real-time bidding (RTB) ecosystem is considered a preferred qualification for this role.

What are the salary expectations for this position in California?

The salary range for this role in Mountain View, CA is expected to be between $230,000 and $280,000, with actual pay determined based on relevant skills and experience.

What benefits are available to regular full-time employees?

Regular full-time employees have access to various benefits including Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and more.

Are publications in relevant research venues valued for this position?

Yes, publications in top relevant venues such as TPAMI, NeurIPS, ICML, ICLR, KDD, WWW, AAAI, and IJCAI are considered a preferred experience requirement.

What is the work culture like at Samsung Ads?

Samsung Ads promotes a unique learning culture and a creative work atmosphere, grounded in an entrepreneurial and collaborative spirit that encourages problem-solving and growth.

Do we support candidates with disabilities during the application process?

Yes, Samsung Electronics America is committed to providing reasonable accommodations for qualified individuals with disabilities in the job application process.

Will there be opportunities to collaborate with external partners?

Yes, the role involves closely working with external partners to introduce new machine learning features and tools.

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Samsung

Technology
Industry
10,001+
Employees
1969
Founded Year

Mission & Purpose

Samsung is a multinational conglomerate with operations spanning various industries, including electronics, technology, and manufacturing. Their ultimate mission is to "Inspire the World, Create the Future" by developing innovative products and services that enhance people's lives and contribute to the advancement of society. Samsung's purpose is to provide cutting-edge technologies and solutions, from smartphones and televisions to home appliances and semiconductor manufacturing, to make people's lives more convenient, connected, and efficient in the UK and around the globe

Culture & Values

  • People

    Quite simply, a company is its people. At Samsung, we’re dedicated to giving our people a wealth of opportunities to reach their full potential.

  • Excellence

    Everything we do at Samsung is driven by an unyielding passion for excellence and an unfaltering commitment to develop the best products and services on the market

  • Change

    As we have done since our foundation, we set our sights on the future, anticipating market needs and demands so we can steer our company toward long-term success.

  • Integrity

    Operating in an ethical way is the foundation of our business. Everything we do is guided by a moral compass that ensures fairness, respect for all stakeholders and complete transparency.

  • Co-prosperity

    Samsung is committed to becoming a socially and environmentally responsible corporate citizen in all of its communities worldwide