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: <<SummaryHighly motivated Sales Associate with extensive customer service and sales experience. Outgoing sales professional with track record of driving increased sales, improving buying experience and elevating company profile with target market.
SkillsFileMaker, SQL, Javascript, and .NET
languages. Asp.Net (2 years), Vb.Net (2 years), Javascript (4 years), Microsoft Office (6 years), SQL (2 years), VBA (1
year)
ExperienceSoftware Engineer,06/2014-12/2016–New York,NY,uCompose 2.0 PRODUCTION MANAGEMENT SYSTEM.2015 Above and Beyond Award Recipient.FileMaker.iPads, Windows Surface, PC, Printing.Converted an existing production and inventory management system from primarily paper-based to ~95%
device-based.Implemented iPads at the Production, Inventory, and Shipping levels.PC-based and printable reports for administrative staff.Reduced input lag from one day to minutes; gave administrative users real-time production reports.Allowed supervisors to create different versions of recipes (e.g.in case of ingredient shortage), and to swap
out recipes for a production run, recalculating ingredient needs instantly.Real-time production reports, combined with a "production queue" of upcoming jobs, gave supervisors
vastly increased flexibility in responding to customer needs, output irregularities (pro and con), and ingredient
shortages.Allowed us to comply with SQF standards by enabling supervisory staff to approve every step of the
production process
MAINTENANCE SYSTEM.iPads for Maintenance Technicians.iPad and PC Layouts for Maintenance Manager.Touch-based design scheme developed with maintenance workflow in mind
SCOUTBOSS.SQL Database.Javascript and REST API.Enabled boy scout units to enter orders for popcorn.Enabled council and district leaders to manage orders for their units.Provided printable invoices and various reports used by council and district leaders.Calculated commission percentages, tracked payments, and directed award-winners to their respective prize
sites based on council
BUILDING-WIDE WiFi.Added wireless access points to all warehouses and loading docks.In conjunction with the Production Management System, made it possible to keep all aspects of production,
inventory, shipping, and receiving up-to-date.Reduced lag time from 1+ day to minutes or hours.Software Engineer,04/2012-05/2014Rue La La–Shepherdsville,KY,Developed administrator interface allowing organizations to file corporate documents with the Secretary of
State.Imported 180 years of corporate data from a mainframe dump file into the current SoS database using a
WinForms application running a batch routine.Developed a system wherein 600 business-filing relationships could be filed using an asynchronous, modular
webpage designed to be utilized by administrative and public users alike, with varying permissions based on
user role.Developed a web page to allow users to add to, delete from, and update these relationships instantaneously,
and preview the resulting form.Utilized Dynamsoft's javascript API to deliver client-side scanning and image upload functionality.Allows users to add official documents to the government datastore with the click of a button.Implemented user-friendly audit trail functionality that could be applied to any table in the database with the
switch of a parameter.Utilized Telerik Reporting tools to generate date-range reports on new businesses, invoice receipts and
remitter letters, and state-issued certificates
VOTER REGISTRATION PROJECT.Used Telerik reporting and user interface tools to allow efficient, dependable maintenance of voter registration
information.Implemented one-touch scanning process that incorporated barcode labels created via javascript.Barcodes are read by scanning software and used to associate the scanned image with a specific voter
change record.Used in a multi-step voter record confirmation process.Assisted with a WinForms application used in onsite polling in Iowa elections.Business Intelligence Analyst,07/2010-07/2012Rue La La–Homeland,FL,Utilized BI tools to deliver analytical data to business users.Leveraged data warehouse knowledge at the semantic and presentation levels.Network Margin Project.Held on-site JAD session with clients.Daily meetings with clients to reiterate requirements and gauge progress.Created 50-page User's Guide to the Network Margin system.
Education and TrainingBachelor's:Computer Science,Expected inMay 2010-University of Wisconsin-Platteville,WIGPA:Status-Computer Science
Skills.NET, Asp.Net, Vb.Net, administrative, API, BI, council, client, clients, data warehouse, Database, dependable, FileMaker, filing, government, image, inventory management, Inventory, Javascript, letters, mainframe, meetings, access, Microsoft Office, Windows, Network, manage orders, page, PRODUCTION MANAGEMENT, progress, read, real-time, receiving, reporting, scanning, scheme, Shipping, Software Engineer, SQL, supervisory, switch, user interface, VBA, web page, workflow>>. The result is, Good Fit

Fit assessment: Good Fit