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 . 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 . 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 .

Resume:
<<professional summaryardent and intelligent software engineer capable of providing sterling service using my technical prowess, hard working nature and interpersonal skills. skills java, c++, xml, html, css, javascript, spring mvc, restful web services, j2ee-jsp, servlet, jdbc, sql - mysql, oracle, sql server, hadoop-mapreduce, hive. · matlab-programming and modeling, neural network regression tool, genetic programming gptips tool.proficient in developing machine learning algorithms viz. neural network, genetic algorithms, genetic programming, swarm intelligence based algorithms. · microsoft excel functions, regression tool box and vba for data cleansing, normalizing and scaling . · vlsi chip designing using cadence tool. · windows, linux, unix. · office, latex, visual studio work history 12/2015topresentsoftware developerrapid global business solutions, inc–.client: state teachers retirement system, ohio.technologies used: java, spring and hibernate frameworks, gwt framework, restful web services, xml, json, jdbc, jsp, html, css, /sql. 08/2013to 08/2014graduate teaching assistantpurdue university–.for the courses: objected oriented programming and data structures, network security, data driven websites, engineering calculus, unix and c.grader for the. education expected inaugust, 2015totom.s:computer science and engineeringuniversity of toledo-,gpa:computer science and engineering gpa: 3.83 / 4.0expected in2013totob. e:electrical and electronics engineeringanna university-,gpa:electrical and electronics engineering gpa: 8.32 / 10.0 skills c++, calculus, eclipse, xml, java, jsp, javascript, jdbc, json, linux, machine learning, math, matlab, mysql, network security, /sql, scaling, sql server, unix and c, unix, vba, visual studio.