For the given job description <<Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Machine Learning Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer.
Software Engineer, Machine Learning - Reality Labs Responsibilities:
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellenceAdapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)Re-evaluate the trade-offs of already shipped featuresML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriateLeading a team from a technical perspective to develop ML best practices and influence engineering cultureBe a go-to person to escalate the most complex onlineproduction performance and evaluation issues, that require an in-depth knowledge of how the machine learning system interacts with systems around itDevelop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based modelsSuggest, collect and synthesize requirements and create effective feature roadmapCode deliverables in tandem with the engineering team
Minimum Qualifications:
6+ years of experience in software engineering, or a relevant field or 4+ years of experience if you have a PhD2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fieldExperience with developing machine learning models at scale from inception to business impactKnowledge developing and debugging in CC++ and Java, or experience with scripting languages such as Python, Perl, PHP, andor shell scriptsExperience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projectsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
Masters degree or PhD in Computer Science or a related technical fieldExposure to architectural patterns of large scale software applications
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 accommodations-ext@fb.com.>> the resume: <<Professional SummaryResults-oriented Embedded Software Engineer with three years' experience in analysis, design, development, testing and implementation of various embedded software systems. Strong desire to obtain a responsible and challenging Embedded Software Developer's position where my education and work experience will have valuable application
SkillsProgramming Languages:  C, C++, Java, VHDL,Scripting: Shell, Python, Perl MATLAB, HTML, C#Tools: Microsoft Visual Studio, ADB, QXDM, Trace32, LTE. ModelSimPeripherals: I2C, SPI, QSPI, UART
Work History04/2017toCurrentEmbedded Software EngineerFlowserve Corporation|Emeryville,CA,Design and development on Qualcomm multiprocessor mobile computing platforms.Work closely with the hardware team developing low-level device driver software for solid-state storage devices.Optimize the storage drivers and boot loaders for performance and power consumption across multiple processors.Support the team with failure triage, system debug and customer support to implement and support new features in the storage driver.04/2014to03/2017C, C++ Embedded System Test EngineerEntegris, Inc.|Chandler,AZ,RF system Level Performance Verification and validation: RF system validation through statistical performance assessment, SW and Hardware Build Verification Testing and stability testing.Setting up the test environment to have comparable RF data with specified accuracy and tolerance and measuring various performance parameters for Wireless Transceivers such as Tx Max Power, WFQ, ACLR, EVM, SEM, Sensitivity, ACLR, Rx intermod, etc.at system level.Interfacing with cross functional teams for correlating the RF parametric data correlation, debugging and triaging Tools: QPST, QXDM, QSPR, Call Box, Spectrum analyzer, Signal generator.Test Automation and Scripting and production deployment: Developing and automating tests cases and scripts for large scale production testing of processor chips.Validation included modem and apps processor functional verification and performance measurement.Tools: Trace32, ADB, C#, Microsoft Visual Studio, Perl, Perforce.07/2010to07/2011Development EngineerSciaky Automation Â€“ Pune, Maharashtra India|,,Development of an extensive mechatronic design for a complete automatic assembly of an electric toggle switch to increase production efficiency Tools: PLC, pneumatic actuators, electronic circuit design, ladder programming, optical sensors Academic Projects Gait analysis using low power wireless module: (Graduate Final Project) Implementation of rotation-based routing protocol among on-body sensors to reduce the overall power consumption of the system for accumulating the motion data.Dynamic time Warping algorithm is applied as a feature classification technique to differentiate between human movements based on the motion data.An offline analysis is performed to corroborate the hypothesis and then an on-chip implementation is done for deployment.Tools: Arduino programming, NRF24l01+, C, Java, MATLAB 16 Bit RISC Processor using VHDL: Created a fully synthesizable VHDL model of a 16-bit RISC processor which included designing Registers, ALU, Instruction memory, Data memory, Scratch pad memory and Instruction Set Architecture of 27 instructions with 4 addressing modes and 4 stage pipelining and Interrupt handling features Parametric Cache Simulator Design: Implementation of a parametric cache simulator modelling a memory hierarchy to calculate hit and miss rate for data and victim cache for data cache size, associativity, block size, write policy, victim cache changes.Measuring the tardiness of real-time video workload under LITMUS-RT: Patching of the Linux with LITMUS-RT and using shell and python scripts to measure the average tardiness of the video application to compare the performance of the real time GSN EDF scheduler algorithm to the Linux CFS scheduler for soft real-time video applications.Device Driver Development: Development of modules for Linux based character-device driver capable of echoing the received character and converting the letters to uppercase for communication on UART.The driver was emulated using QEMU emulator for a Bare-metal ARM processor and is a loadable kernel module.Courses Analog and Digital Communication, Analog Integrated Circuit Design and Networks, Embedded Systems, Real Time Operating Systems, Computer Architecture, Introduction to VHDL, Digital signal processing, Advanced Embedded systems.Wireless Sensor networks, Wireless Communications.
EducationExpected in2010totoBachelor of Engineering|Electronics and TelecommunicationUniversity of Pune,,GPA:Electronics and TelecommunicationExpected in2013totoMaster of Science|Electrical EngineeringUniversity of North Carolina at Charlotte,Charlotte,NCGPA:Electrical Engineering
SkillsAcademic, Automation, C, C++, Circuit Design, Hardware, customer support, debugging, designing, Digital signal processing, drivers, Embedded systems, features, flash, functional, GSM, HTML, Instruction, Java, Languages, letters, Linux, MATLAB, Max, memory, C#, modem, Networks, Operating
Systems, Peripherals, Perl, PLC, processors, Programming, Protocols, Python, real-time, Real Time, routing, scripts, Scripting, Shell, Spectrum analyzer, switch, TCP/IP, Validation, VHDL, video, Microsoft Visual Studio>>. The result is, Good Fit

Fit assessment: Good Fit