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Samsung Machine Learning Jobs (NOW HIRING)

Samsung

Engineer III, Machine Learning

Mountain View, CA · On-site

$190.82K - $212.50K/yr

Engineer III, Machine Learning Lead the personalization strategy and execution for crafting ... Samsung Electronics America is committed to providing reasonable accommodations for qualified ...

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How much do samsung machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for samsung machine learning in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer at Samsung, and why are they important?

To thrive as a Machine Learning Engineer at Samsung, you need a strong background in computer science, mathematics, and statistics, often supported by a relevant degree and experience with machine learning algorithms. Proficiency in programming languages such as Python or C++, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of cloud platforms are typically required. Strong problem-solving, collaboration, and communication skills help you translate business needs into technical solutions and work effectively in cross-functional teams. These skills ensure the development of innovative, scalable AI solutions that drive Samsung's product advancements and competitiveness.

What are some common challenges faced by machine learning engineers at Samsung, and how does the company support overcoming them?

Machine learning engineers at Samsung often work on large-scale, cutting-edge projects that require handling vast datasets, optimizing model performance, and deploying solutions to millions of users. Common challenges include keeping pace with rapidly evolving technologies, ensuring data privacy, and collaborating across interdisciplinary teams. To support engineers, Samsung provides ongoing training, access to high-performance computing resources, and opportunities to collaborate with global experts. Additionally, the company fosters a culture of innovation, encouraging knowledge sharing and continuous learning.

What does a Samsung Machine Learning engineer do?

A Samsung Machine Learning engineer designs, develops, and implements machine learning algorithms and models to improve Samsung’s products and services. They work with large datasets, build predictive models, and collaborate with cross-functional teams to integrate AI capabilities into devices like smartphones, TVs, and home appliances. Their work helps enhance user experiences, optimize performance, and enable innovative features such as voice recognition, image processing, and smart automation.

What is the difference between Samsung Machine Learning vs Samsung Data Scientist?

AspectSamsung Machine LearningSamsung Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with ML frameworksDegree in Data Science, Statistics, or related; strong programming skills
Work EnvironmentDeveloping ML models, algorithms, and deploying AI solutionsAnalyzing data, building predictive models, interpreting results
Employer & Industry UsageTech companies, AI product teams, R&D divisionsBusiness units, analytics teams, product development

Samsung Machine Learning specialists focus on creating and deploying machine learning models, while Samsung Data Scientists analyze data to generate insights and support decision-making. Both roles require strong technical skills and often collaborate within the same industry sectors, but their core responsibilities differ in focus and application.

More about Samsung Machine Learning jobs
What states have the most Samsung Machine Learning jobs? States with the most job openings for Samsung Machine Learning jobs include:
What job categories do people searching Samsung Machine Learning jobs look for? The top searched job categories for Samsung Machine Learning jobs are:
Samsung Machine Learning jobs near you
Infographic showing various Samsung Machine Learning job openings in the United States as of May 2026, with employment types broken down into 38% Full Time, and 62% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Samsung Ads - Machine Learning Model Engineer - Mobile Performance

Samsung Electronics America North America

Mountain View, CA

$230K - $280K/yr

Other

Posted 20 days ago

Job description

Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling advertisers to connect audiences from Samsung devices as they are exposed to digital media, 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 around the world means that we get to work on big, complex projects with stakeholders and teams located 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, and this is no exception to Samsung Ads. At Samsung Ads, we are actively exploring 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. You will be welcomed by a unique learning culture and creative work atmosphere. This is an exciting and unique opportunity to get deeply involved in envisioning, designing and implementing cutting-edge machine learning products with a fast growing team.

This position will be working on the mobile performance ads product, one of the most interesting but challenging machine learning products.

Responsibilities

  • A tech lead role to lead and deliver production-grade machine learning products from end to end to make Samsung Ads a key player in the mobile performance ads market.

  • Design, develop and deploy state-of-the-art and scalable machine learning models to achieve different optimization goals (e.g., app-install optimization, ROAS optimization, retention, etc.).

  • Research the latest machine learning technologies and keep up-to-date with industry trends and developments.

  • Analyze complex problems with massive advertising data, identify gaps, and propose and execute technical proposals.

  • Create prototypes of new ML-based solutions quickly and put them into production.

  • Closely work with 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.

Experience Requirements:

  • 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 Experience 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.

The salary range for this role, for candidates based in California, is expected to be between $230k and $280k. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.

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