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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.
Director of Product, Reach Demand

Director of Product, Reach Demand

Samsung Electronics

Mountain View, CA • On-site

$225K - $270K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 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

Position Summary

Director of Product, Reach Demand
Position Summary:
Samsung Ads, the advertising monetization arm of Samsung Electronics, leverages proprietary Samsung TV / mobile usage data and insights to promote relevant brands and consumer content experiences. We partner with brands, agencies and content owners to deliver unique advertising opportunities on native placements within our Smart TV platform and programmatically. Samsung's unique first-party data helps brands connect to their audience as they explore content across desktop, mobile, tablets, and our Smart TVs. The Samsung Ads platform delivers high-quality audience targeting powered by three key components: first-party audience data at scale, world-class data science, and brand-safe, cross-device ad inventory.
We are looking for a high-performing individual to join the Reach Demand product team to develop and drive monetization of upper funnel advertising solutions. You will partner with cross-functional global teams, external partners, and customers to identify opportunities to exceed customer objectives and grow product revenue and margin. This
is a high-visibility role with growth potential and high impact. We believe in building a best-in-class, enterprise-grade product and creating a new industry standard. Join us in this exciting ride!

Role and Responsibilities

Role and Responsibilities

  • Define and own the product vision and roadmap for upper funnel reach solutions supporting our brand and media/entertainment advertisers with an emphasis on contextual relevance, attention optimization, and incrementality
  • Identify market trends and opportunities, ensuring solutions address client pain points and define a product strategy that prioritizes agility and scalability, adapting to the dynamic needs of our advertisers in driving full funnel marketing outcomes, leveraging Samsung Ads
  • Work closely with sales, business stakeholders and advertisers to understand their upper funnel brand awareness and reach goals and translate client feedback into actionable product features that enhance user engagement, session continuity, and advertising efficiency.
  • Lead the design, development, and deployment of upper funnel reach solutions built from the ground up by collaborating with engineering, design, and data science teams to incorporate Samsung's rich 1st party data and advanced machine learning models to deliver high-quality, innovative product features.
  • Operate in an agile, iterative environment to prototype, test, and rapidly improve product offerings and advocate for data-driven insights to enhance product performance and scalability.
  • Communicate the strategy, plans and progress to stakeholders in different geographies and business units and identify new opportunities for extending products and features

Skills and Qualifications

  • 10+ years in product management, with a specialization in reach and brand awareness solutions; including 4+ years in AdTech experience
  • Demonstrated ability to collaborate with engineering and data science teams to integrate machine learning into products for the AdTech companies is highly preferred.
  • Proven track record of building and scaling products from zero to one in fast-paced, agile environments and proficiency in leveraging data to inform product decisions and drive measurable results.
  • Excellent communication skills and experience working effectively with globally distributed teams, managing cross-functional stakeholders and having the ability to influence technical and non-technical audiences.
  • Bachelor's degree in a relevant field; master's degree or equivalent experience preferred.
  • Proficiency in basic data analysis using tools such as Excel, SQL and the ability to understand and discuss technical concepts and evaluate tradeoffs with engineering

Skills and Qualifications

Compensation for this role, for candidates based in Mountain View, CA is expected to be between $225,000 ~ $270,000 base. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to 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 many more.

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At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves. Together, we are building a better tomorrow for our customers, partners, and communities.

* Samsung Electronics America, Inc. and its subsidiaries are committed to employing a diverse workforce, and provide 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.

Reasonable Accommodations for Qualified Individuals with Disabilities During the Application Process

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 (855-557-3247) or SEA_Accommodations_Ext@sea.samsung.com for assistance. This number is for accommodation requests only and is not intended for general employment inquiries.

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