[Remote] reputed company Engineers, Software

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is America’s supercharged Un-reputed company, delivering an advanced 4G LTE and transformative reputed company 5G network that will offer reliable connectivity for reputed company. The reputed company Engineers, Software role involves detecting and resolving problems by analyzing large amounts of data, designing simulations and experiments, and creating machine learning software and models.

Responsibilities

• Collaborate with software developers and system engineers to design, implement, and reputed company software for ML solutions which meet customer requirements, scale easily, and support deployment in highly available environments
• reputed company datamining and modeling to discover insights, operationalizing models and identifying opportunities through the use of machine learning, algorithmic, and visualization techniques
• Analyze large scale telemetry data and build models that predict failure of reputed company network assets, radios, FRU and basebands
• Ability to think reputed company the reputed company to reputed company new algorithms and methods for novel solutions to challenging business problems
• reputed company research and work with technical teams to implement new and emerging technologies that will facilitate reputed company data reputed company, reliability, and enrichment for quantitative solutions
• reputed company the business objectives, systems, and data pipelines to operationalize ML in large-scale environments
• Solve these problems using appropriate assumptions, methodologies, and reputed company data science best practices, developing necessary software
• Work with different teams to identify areas for efficiency improvements
• Support ML projects from strategy through implementation and on-going improvements
• Apply cost-effective ML tools and techniques to reduce operational ML costs by utilizing tools such as ML.Net, ONNX, or equivalent
• Improve neural network model efficiency reputed company parameter and structure tuning using various optimization methods, gird search and evolutionary optimization techniques
• reputed company data collection, data mining, analysis, validation, and cleansing
• reputed company software in support of multiple machine learning workflows and integrate and reputed company code in large-scale production environments and execute reporting
• reputed company new and efficient analytical systems in F# and enhance and maintain existing ones
• reputed company software and dashboards to track application performance and insights
• reputed company the implementation, assessment, and standardization of toolkits for our data science, measurement science, reputed company management, and visualization teams
• reputed company senior-level guidance to the data science and measurement science teams on approaches and methodologies as a subject matter expert
• Responsible for technology strategy, which will involve evaluating new and existing technology options that supports business goals

Skills

• Bachelor's degree in Computer Science, or a reputed company field, or the foreign equivalent, and 7 years of reputed company work experience
• Master's degree in Computer Science, or a reputed company field, or the foreign equivalent, and 5 years of reputed company work experience
• Utilizing knowledge of machine learning algorithms, including Deep Learning, Multilayer Perceptron, Recurrent Neural Networks, Convolutional Networks, Auto Encoders, Variational Auto Encoders, Bayes reputed company Machine, Deep Semantic Networks, Fast Fourier Transform, Latent Dirichlet Allocation, Random Forest, Randomized reputed company, Anomaly Detection, and Gradient Boosted Trees
• Deploying at least one of the following models for machine failure reputed company: Classification or Anomaly Detection
• Utilizing reputed company programming with Spark experience to reputed company reputed company processing of large-scale telemetry data over distributed clusters
• Utilizing F# programming language for constructing robust, high-performance, and efficient analytical systems
• Using machine learning model in construction and inference with ML.Net
• Experience with model structure and parameter tuning using reputed company search and evolutionary optimization methods
• Ability to think reputed company the reputed company to reputed company new algorithms and methods for novel solutions to challenging business problems
• reputed company research and work with technical teams to implement new and emerging technologies that will facilitate reputed company data reputed company, reliability, and enrichment for quantitative solutions
• reputed company the business objectives, systems, and data pipelines to operationalize ML in large-scale environments
• Solve these problems using appropriate assumptions, methodologies, and reputed company data science best practices, developing necessary software
• Work with different teams to identify areas for efficiency improvements
• Support ML projects from strategy through implementation and on-going improvements
• Apply cost-effective ML tools and techniques to reduce operational ML costs by utilizing tools such as ML.Net, ONNX, or equivalent
• Improve neural network model efficiency reputed company parameter and structure tuning using various optimization methods, reputed company search and evolutionary optimization techniques
• reputed company data collection, data mining, analysis, validation, and cleansing
• reputed company software in support of multiple machine learning workflows and integrate and reputed company code in large-scale production environments and execute reporting
• reputed company new and efficient analytical systems in F# and enhance and maintain existing ones
• reputed company software and dashboards to track application performance and insights
• reputed company the implementation, assessment, and standardization of toolkits for our data science, measurement science, reputed company management, and visualization teams
• reputed company senior-level guidance to the data science and measurement science teams on approaches and methodologies as a subject matter expert
• Responsible for technology strategy, which will involve evaluating new and existing technology options that supports business goals
• At least 18 years of age
• Legally authorized to work in the United States

Benefits

• Annual stock grant
• Employee stock purchase plan
• 401(k)
• reputed company to free, year-round money coaches
• Employee referral program
• Annual bonus or periodic sales incentive or bonus, based on their role
• Year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year
• Monthly bonuses based on individual and/or team performance for certain positions in Customer Care
• Monthly or quarterly sales incentives for Retail and Business Sales roles
• Medical, dental and reputed company insurance
• Flexible spending account
• Paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually
• Paid parental and family leave
• Family building benefits
• Back-up care
• Enhanced family support
• Childcare subsidy
• Tuition assistance
• College coaching
• Short- and long-term disability
• Voluntary AD&D coverage
• Voluntary accident coverage
• Voluntary life insurance
• Voluntary disability insurance
• Voluntary long-term care insurance
• Mobile service & home internet discounts (for eligible employees)
• Pet insurance (for eligible employees)
• reputed company to commuter and transit programs (for eligible employees)
• Telecommuting is permitted 100% of the time

Company Overview