Engineer II, Machine Learning Software
Samsung Electronics is hiring an Engineer II, Machine Learning Software in Mountain View, United States. It pays $256k-$266k a year and Level rates it ; you can apply on Samsung Electronics.
Level's read on this job
- Level rates this role Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include PyTorch, TensorFlow and Spark ML.
- Level classifies it as a senior role.
- Level lists 621 other open roles at Samsung Electronics.
AI in this role
Engineer II, Machine Learning Software to design, develop, and deploy scalable machine learning models for mobile ads optimization.
Position Summary
Company: SAMSUNG ELECTRONICS AMERICA, INC.Position Title: Engineer II, Machine Learning Software
Location: Mountain View, CA
Job ID: SAM9966844
Role and Responsibilities
Position Responsibilities:
Lead and deliver production-grade Machine Learning (ML) products from end to end to ensure that Samsung Ads remains 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, and retention. 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. Utilize extensive experience with machine learning and data mining (including work with mainstream ML libraries such as TensorFlow, PyTorch, and Spark ML, among others), Big Data tools, and programming in Python, Go or other OOP languages. 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.
Skills and Qualifications
Position Requirements:
Master’s degree or foreign equivalent degree in Computer Science or a related field and four years of experience in the job offered or as a Software Engineer, Machine Learning Engineer, Engineering Associate, or another related occupation. Must have four years of experience in the following skill: (1) programming in Python. Must have two years of experience in the following skills: (2) performing large-scale data analysis and generating insights for engineering and product teams; and (3) using Apache Spark to author machine learning feature pipelines. Must have one year of experience in the following skill: (4) managing cross-functional data projects including project design, requirements, and implementation.
Hours: Full Time, 40 hours/week. Salary Range: $255,653/year to $265,653/year
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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.
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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.
How we rate this
Engineer II, Machine Learning Software at Samsung Electronics rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data mining was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Machine learning, Data Mining, Big Data, and Software Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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