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:
<<summaryhaving achieved a milestone of 7+ years of working as a software quality process manager within the financial software industry, i would be a great addition to your product management team as i have extensive experience with coordinating and managing efforts with multiple teams consisting of solution architects, project/program managers, product managers, and production support to name a few. experience has taught me flexibility and versatility in developing innovative resolutions to a myriad of complex organizational problems while also dealing directly with clients. key skills microsoft office suitesharepointhp quality centertraccrystal reportssqlfailure modes effects analysis (fmea)requirements managementsystem-a-tion business analysis certificationcertified helixplan methodology facilitatorsystem-a-tion business requirements certificationvisual basic (vb.net)html experience software quality assurance consultant, 03/2010- 05/2015valmet corporation– ,qa software process manager on large scale enterprise implementation projects for multiple national/international financial institutionsmanaging the development and implementation of cross-company qa process throughout the sdlc including estimation, forecasting, budgeting, requirements review(s), requirements traceability, test schedule, overseeing testing execution, and defect resolution for implementation(s)process management- collaborated/coordinated with senior leadership to design end-to-end process methodology that led to an increase in overall estimation and forecast accuracy by more than 12% on project implementationsprocess development- developed process templates to close gap between client user experience and end customer experience that resulted in identifying additional requirements that would have created a scope gap later on in the sdlcprocess improvement- integrated qa methodology with the program/project management practice to create software quality standards across client and internal teams within the sdlc that resulted reducing implementation defects by 28% on averagebusiness analyst,2009- 03/2010metavante–city,state,manage scope and requirements on medium to large scale financial institution projects for enterprise flagship productsdefined requirements by coordinating with solution architect and vendor teams to define testable requirements and scope for implementation projectsrequirements management- analyzed client business needs to formulate project scope & requirements to efficiently translate to technical and testable requirements while cutting down hours for internal teamsrelationship management- developed collaborative relationships with product teams to identify appropriate coverage of business requirements while reducing gaps by 5% on all projectsdocument management- identified necessary documents to fulfill clients' business needs and ensured accuracy and completeness by conducting audits throughout the sdlc to identify gaps early in the sdlc while reducing number of necessary change requests by clients on projectsuser scenario development- coordinated user scenarios and screen mock-ups with clients that increased test coverage allowing early detection of defects within the sdlcsoftware test analyst intern, 02/2008-2009metavante–city,state,perform manual testing on small to medium scale implementation projects for internal systems linking directly into client environmentsdeveloped and managed test plans, test cases, test execution, and defect identification/verificationdata analysis- created test execution reports to identify any potential risks to meeting implementation deadlines test suitedevelopment- leads, and technical analysts to develop testing suite and increased overall testing efficiency by 5%defect management- identified and managed software defects prior to client implementation, resulting in reduced development re-work by 8% mentoring - trained newly hired interns & full-time employees on product specifications/functionality through presentations that effectively reduced learning curve by 30% education mba:,expected in2017--,gpa:status-expected to start in fall 2015bachelor's:business administration,expected in2008-university of wisconsin-milwaukee,wisconsingpa:status-emphasis in finance & marketingpmp certification in progress:,expected in--,gpa:status- languagesurdu hindi english.