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Telecommute Tensorflow Developer Jobs in California

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

... TensorFlow) * Experiencecreating interactive dashboards with Tableau, Power BI, and others ... Flexible Work Schedule/Telecommuting * Vacation/ PaidTime Off * EmployeeDiscounts and Rewards

Irvine, CA (Hybrid - Onsite and Remote) or San Francisco Market St (Onsite) or Telecommute (Remote ... The role involves building end-to-end solutions, collaborating with data scientists and engineers ...

AI Solutions Architect

Menlo Park, CA · On-site

$228K - $231K/yr

... Programing languages for modern AI and Data Science (Python, R, Tensorflow, PyTorch). 5-10% ... Telecommuting permitted less than 50% per week within the same geographic location as the assigned ...

Senior Software Engineer

El Segundo, CA · On-site

$130K - $172K/yr

Telecommuting is permitted. This position may involve handling confidential and sensitive ... Working with frameworks such as Angular, React, .NET, Tensorflow and PyTorch * Working with ...

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$158K - $200K/yr

May telecommute. Requirements:Bachelor's degree (or foreign equivalent) in Computer Science ... XGBoost,LightGBM, TensorFlow andPyTorch; 2) Applying supervised and unsupervised learning ...

Sr Machine Learning Engineer

San Jose, CA

$143K - $189K/yr

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Doctorate ... Special Skill Requirements: 1. Machine learning frameworks and libraries such as TensorFlow ...

Sr Machine Learning Engineer

San Jose, CA · On-site

$143K - $189K/yr

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Doctorate ... Special Skill Requirements: 1. Machine learning frameworks and libraries such as TensorFlow ...

Sr Machine Learning Engineer

San Jose, CA

$143K - $189K/yr

Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Doctorate ... Special Skill Requirements: 1. Machine learning frameworks and libraries such as TensorFlow ...

Experiencewith data preprocessing, feature engineering, and model evaluationtechniques ... Flexible Work Schedule/Telecommuting * Vacation/ PaidTime Off * EmployeeDiscounts and Rewards

Telecommute Tensorflow Developer information

What is the difference between Telecommute Tensorflow Developer vs Data Scientist?

AspectTelecommute Tensorflow DeveloperData Scientist
Required SkillsTensorFlow, Python, Machine Learning, Deep LearningStatistics, Python/R, Data Analysis, Machine Learning
Work EnvironmentRemote, collaborative teams, tech companiesRemote or onsite, research or business settings
Industry UsageAI/ML development, software companiesData analysis, business intelligence, research

While both roles often require Python and machine learning knowledge, a Telecommute Tensorflow Developer primarily focuses on building and deploying AI models using TensorFlow in a remote setting. A Data Scientist analyzes data to generate insights, often using different tools like R or statistical methods. The roles overlap in skills but differ in core responsibilities and focus areas.

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Engineer III, Machine Learning Software

Engineer III, Machine Learning Software

Samsung Electronics

Mountain View, CA

$226K - $240K/yr

Other

Posted 4 days ago


Samsung Electronics rating

7.0

Company rating: 7.0 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

105th of 139 rated electronics manufacturers


Job description

Position Summary

Role and Responsibilities

MULTIPLE POSITIONS AVAILABLE

Company: SAMSUNG ELECTRONICS AMERICA, INC.

Position Title: Engineer III, Machine Learning Software

Location: Mountain View, CA

Job ID: SAM9441242

Position Responsibilities:

Deliver production-grade machine learning solutions. Design, develop and deploy scalable low-latency machine learning products. Envision, design and implement cutting-edge products in the fields of applied computer science and deep learning technology focusing on the development and research of large-scale production-level deep learning algorithms, models, and systems. Build state-of-the-art deep learning platforms and address machine learning problems in the field of digital advertising, such as pCTR prediction, pCVR prediction, pROAS prediction, bidding price optimization, and AutoML. 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.

Position Requirements:

Master's degree or foreign equivalent degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and two years of experience in the job offered or a related occupation. If qualifying with Master's degree or foreign equivalent degree, must have two years of experience in the following skills: (1) hands-on experience in production-grade machine learning solutions; (2) experience in mainstream ML libraries, including TensorFlow, PyTorch, and Spark ML; (3) experience with mainstream big data tools, including MapReduce, Spark, Flink, and Kafka; (4) programming experience in object-oriented programming languages, including Python and Go; (5) experience with data structures, algorithms, and software engineering principles; and (6) experience in SQL and databases. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Employer will accept a PhD degree or foreign equivalent degree in Computer Science, Computer Engineering, Statistics, Data Science or a related field and one year of experience in the job offered or a related occupation as equivalent to the Master's degree and two years of experience. If qualifying with PhD degree or foreign equivalent degree, must have one year of experience in the following skills: (1) hands-on experience in production-grade machine learning solutions; (2) experience in mainstream ML libraries, including TensorFlow, PyTorch, and Spark ML; (3) experience with mainstream big data tools, including MapReduce, Spark, Flink, and Kafka; (4) programming experience in object-oriented programming languages, including Python and Go; (5) experience with data structures, algorithms, and software engineering principles; and (6) experience in SQL and databases. Partial telecommuting permitted; employees will be required to report to office multiple days per week.

Hours: Full Time, 40 hours/week. Salary Range: $226,138/year to $240,000/year

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Skills and Qualifications

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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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