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Deep learning Jobs in Salt Lake City, UT
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Software Engineer (Machine Learning)
Meta IncSalt Lake City, UT, United States- Promoted
Work-Based Learning Experience Specialist
State of UtahSalt Lake City, UT, United StatesManager of Learning and Development
Pompa ProgramUtah, United StatesAssistant Math Learning Center Director Part Time
MathnasiumSalt Lake City, UT, US- Promoted
Learning Experience Designer, Internal
Western Governors UniversitySalt Lake City, UT, United StatesDirector - Agile Certification Learning Delivery
Fidelity InvestmentsSalt Lake City, UT, US- Promoted
AI & Machine Learning Engineer - TMT - Manager - Consulting - Location OPEN
EYSalt Lake City, UT, United States- Promoted
Senior Machine Learning Researcher
Launch PotatoSalt Lake City, UT, United StatesLearning Support Assistant
ReesonEccles- Promoted
Nanny Needed for Preschool Child : Prepare Meals and Support Learning
SittercitySalt Lake City, UT, United StatesI'm interested in learning more about CLEAResult Careers!
ClearesultUtah- Promoted
Software Engineer (Machine Learning)
METASalt Lake City, UT, United StatesLearning, Culture & Development Intern
NRGUT, USeLearning Evangelist, Adobe Learning Manager
AdobeUtahTutor Non-Certified, STEM Learning (Part Time)
Salt Lake Community CollegeTaylorsville, Utah, USSenior Learning Experience Designer - Onboard powered by Conservice
ConserviceSalt Lake City, UT, USSenior Architect - Machine Learning
R1 RCMMurray, Utah, USStaff Machine Learning Engineer
Home DepotUTAH, USSAP SuccessFactors Data Migration & Learning Management Architect, Senior Manager
PricewaterhouseCoopers Advisory Services LLCSalt Lake City,UTSoftware Engineer (Machine Learning)
Meta IncSalt Lake City, UT, United States- Full-time
Summary :
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click Apply to Job online on this web page.
Required Skills :
Software Engineer (Machine Learning) Responsibilities :
Research, design, develop, and test operating systems-level software, compilers, and network distribution software for massive social data and prediction problems.
Have industry experience working on a range of ranking, classification, recommendation, and optimization problems, e.g. payment fraud, click-through or conversion rate prediction, click-fraud detection, ads / feed / search ranking, text / sentiment classification, collaborative filtering / recommendation, or spam detection.
Working on problems of moderate scope, develop highly scalable systems, algorithms and tools leveraging deep learning, data regression, and rules based models.
Suggest, collect, analyze and synthesize requirements and bottleneck in technology, systems, and tools.
Develop solutions that iterate orders of magnitude with a higher efficiency, efficiently leverage orders of magnitude and more data, and explore state-of-the-art deep learning techniques.
Receiving general instruction from supervisor, code deliverables in tandem with the engineering team.
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).
Telecommuting is permitted from anywhere in the U.S.
Minimum Qualifications :
Minimum Qualifications :
Requires a Master's Degree (Foreign equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Physics, or related field and 1 year of experience in the job offered or related occupation.
Requires 12 months of experience involving the following skills :
Machine Learning Framework(s) : PyTorch, MXNet, or Tensorflow
Machine learning, recommendation systems, computer vision, natural language processing, data mining, or distributed systems
Translating insights into business recommendations
Hadoop / HBase / Pig or MapReduce / Sawzall / Bigtable / Spark
Developing and debugging in C / C++ and Java
Scripting languages such as Perl, Python, PHP, or shell scripts
C, C++, C#, or Java
Python, PHP, or Haskell
Relational databases and SQL
Software development tools : Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce)
Linux, UNIX, or other
- nix-like OS as evidenced by file manipulation, advanced commands, and shell scripting
Build highly-scalable performant solutions
Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction
Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems and
Distributed systems.
Public Compensation :
192,668 / year to $240,240 / year + bonus + equity + benefits
Industry : Internet
Equal Opportunity :
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].