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 SummaryDedicated customer focused management professional with more than 15 years of relevant experience, comprehensive knowledge of Pensions Risk Transfer, plan negotiation, process improvement and administrative services.    Exceptional communication, strong leadership and relationship-building, data analytical and technical skills provide a wide range of interpersonal skills to encourage and instruct others.
Core QualificationsStrong root cause analysis and effective decision-makingExcellent communication; comfortable and effective communicating with both manager and staffStrong leadershipExcellent problem solving, statistical and analytical analysisAdvanced Excel modeling, data analysisAdvanced Microsoft Office skills (Word, Excel, Point, Project, Access)Experienced developing software in C++, Ada, Visual Basic, IMB Rational Rose and SQL
ExperienceBusiness/Data Analyst,08/2017-PresentAffinity Solutions–New York,NY,Perform data analysis to support conversion of thousands of lives from legacy system to ACE.Lead efforts to hold milestone review events.Endure data converted to ACE accurately and business process is intact.Project Manager/Software Engineer,07/2016-08/2017Lpl Financial Services–Mequon,WI,Served as a DO-178B Subject Matter Expert by assuring software development meets 100% safety requirements and consistent with FAA standards.Participated in Software Specification Review, Preliminary Design Review, Critical Design Review and Test Readiness Review to evaluate the software requirements, interface requirements, selected Software
architectures data analysis and test readiness to proceed into verification testing that leads to closing
contract specification requirements.Evaluated and audited throughout the software development lifecycle as well as using quality sciences to
identify, communicate and drive to resolution needed improvements, to software development processes
and activities.Conducted software conformity audits for multi-million dollar programs such as: Core Mission Computer,
Flight Management System and Aircraft Communication Addressing and Reporting System upgrade.Led efforts to hold successful milestone review events and closed action items on all assigned programs before or on schedule.Reviewed and approved software and legal documents (PSAC, SDP, SWQAP, SCMP, SVP and standards etc.) and ensured technical accuracy, compliant, completeness, and mitigate risks.Implementation Specialist,07/2009-07/2016Mg Properties–Camarillo,CA,Implemented multi-million dollar pensions closeout contracts to the systems and ensured 100% of accuracy.Provided underwriting to support pricing in determine new opportunities that lead to closing about 2 billion dollars in sale.Reviewed, evaluated and finalized annuity contracts and ensured timely and accuracy.Gathered and analyzed business and system requirements to support new products as well as production
issues and participated in software requirements, design, test plan, test case, and test procedure reviews.Led the development of the test plan, test cases, and test procedures for ACE project.Troubleshoot automated calculations on mainframe, Web-applications, and stand along PC applications.Built and updated weekly sale activity reports and create closeout metric for management.Provided support for business procedures and system audits.Team Lead Consultant II,12/2002-07/2009MetLife - Life Insurance Company–City,STATE,Developed hundreds of spreadsheet for Pensions Benefit calculations that reduced human errors by 98% reduced benefit requests from 10 turnaround to 3 day turnaround.Managed and led a team of 12 pricing analysts in products, services, technology, business processes
and recognized as a resource to others.Assisted manager in recruiting, interviewing and training new members.Assigned 70 to 100 benefit requests to team members on a daily basis.Prepared quotations for hypothetical comparisons and calculated Pensions Annuity Benefits while
maintained 98% accuracy requirement and deadline.Worked with Pricing Unit to negotiate contract design features and administrative services.Assistant Manager,06/2000-12/2002Wal-Mart Stores, Inc–City,STATE,Developed and executed pricing and product strategy and marking promotions that result in an average sale of $300,000 daily.Planned and allocated resources effectively to meet $300,000 sale daily and maintain 6 million dollars inventory.Reviewed performance data daily that includes financial, sales, and activity reports to monitor and measure
departmental productivity, goal achievement and overall effectiveness to increased sale by 20% and reduced expenses by 10%.Led employees to meet the organization's expectations for productivity, quality, and goal accomplishment.Reported sales regularly to store manager and district manager.Responsible for scheduling 50 associates, inventory control, production pricing, order processing and promote sales.
EducationMBA:Financial Analysis,Expected in-Keller Graduate School of Management of DeVry-Alpharetta,GAGPA:Status-Financial AnalysisBBA:Computer Information System,Expected in-Georgia State University-Atlanta,GAGPA:Status-Computer Information System
SkillsAda, administrative, a DO, Benefits, business process, business processes, C++, closing, Excellent communication, contracts, negotiate contract, conversion, data analysis, decision-making, features, financial, inventory, inventory control, leadership, legal documents, mainframe, Access, Excel, Microsoft Office, 98, Word, modeling, Pricing, problem solving, processes, quality, Rational Rose, recruiting, Reporting, requirement, safety, sales, scheduling, developing software, software development, Specification, spreadsheet, SQL, store manager, strategy, Troubleshoot, underwriting, upgrade, Visual Basic, Web-applications>>. The result is, No Fit

Fit assessment: No Fit