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Samsung Machine Learning information

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$25.5K

$42.6K

$88K

How much do samsung machine learning jobs pay per year?

As of Jul 13, 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 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 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 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.

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.
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 July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Machine Learning and Optimization Engineer

Machine Learning and Optimization Engineer

Samsung Semiconductor

Austin, TX • On-site

Full-time

Posted 14 days ago

Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

111th of 142 rated electronics manufacturers

Job description

Job Summary:
Samsung Austin Semiconductor is a leader in advanced semiconductor technology, seeking an advanced machine learning engineer for their optimization organization. The role involves developing and refining forecasting models to optimize plant performance, requiring strong statistical skills and Python programming.
Responsibilities:
• Development of (and improvement of existing) machine learning models for forecasting and optimization of line performance.
• Development of first principles stochastic models for feature engineering.
• Development of predictive heuristic KPIs to drive optimization strategies.
• Comparative Statistical Analysis of model performance.
• Technical roadmap planning.
Qualifications:
Required:
• Degrees: Mathematics, Statistics, Industrial Engineering, Physics, Computer Science (only with significant math and statistics exposure).
• Machine Learning.
• Statistics.
• Stochastic Systems.
• Graph Theory.
Preferred:
• Masters or above preferred, others may be considered given significant experience.
• Previous leadership experience or technical roadmap management preferred but not required.
• Exposure to mixed integer programming is a plus.
Company:
Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar wide range of industry-leading semiconductor solutions. Founded in 1974, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.

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