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.
Professional ExperienceSoftware Engineer of IoT Cloud,05/2014toCurrentBelvedere Trading–Boulder,CO,ChinaI work on the Salesforce IoT Cloud, a massively scalable event processing engine for realtime engagement and analytics.My main focus is that design and implement clusters provision and management for IoT cloud.1. Provision and manage AWS and Heroku resource, heavily involving Cloudformation, EC2, Auto-scaling and ELB, etc.2. Deploy micro-services, manage versioning, upgrading IoT platform properly, scale up and scale down micro-services when necessary. Micro-services that we support use Kafka, Storm, Spark, Cassandra, Kubernetes and so on.3. Find the best practice to store sensitive and critical information, for example, auth token, client secret.4. Customize platform when business needs dynamically, involving Jessicatabase migration, kafka migration, Cloudformation infrastructure upJessicate.We are now co-hosting workloads across 10K customers, batch transforming ~100MM rows of user Jessicata Jessicaily and real-time ingests 7 TB of events Jessicaily, ~80 MB/s sustained.Software Engineer,02/2014to05/2014Locket–City,STATE,Locket is lock screen app that will display image, content based your interests. It was selected by Google as one of "Best apps of 2014".I was mainly focusing on backend development, including intelligent content generation and display.Machine Learning Developer (Intern),05/2013to08/2013British Broadcasting Corporation (BBC)–City,STATE,1. Developed a face detection and recognition program in Java, implementing machine learning algorithms,e.g., eigenfaces (PCA) and fisherfaces (LJessica);2. Applied text mining techniques to subtitles to assist the facial identification of actors in TV programs;3. Achieved up to 98% accuracy rate on stanJessicard face Jessicatabases, e.g., ORL.
EducationMaster of Science:Computational Statistics & Machine Learning,Expected in2013toUniversity College London-London,GPA:Bachelor of Science:Electronic Commerce Computing,Expected inJun 2010toUniversity of Liverpool-Liverpool,GPA:
Technical SkillsProgramming: Java, Python, JavascriptBuilding tool: Gradle, MavenOps related: Puppet, Ansible, Saltstack, Docker, Kubernetes, Jenkins, BashOthers: AWS, Hibernate, Postgres>>. The result is, Good Fit

Fit assessment: Good Fit