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| Job Location | London |
| Education | Not Mentioned |
| Salary | Competitive salary |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Permanent , full-time |
Duration - 12 months As a software engineer working on AR/VR, youll be driving efforts to develop and prototype computer-vision based experiences that provide creativity and social play experiences for people connecting through AR or VR products. This includes building the infrastructurethat supports the development of these experiences, and prototyping and optimizing them to explore and define the future of online social interaction. Job Responsibilities * Design, build and launch efficient & reliable data pipelines * Develop prototypes for future AR/VR experiences, cutting edge research, drive continued development, or integrate robust solutions into products * Code using primarily C++ and Python. * Conduct design and code reviews. * Analyze and improve efficiency, scalability, and stability of various system resources. * Complete medium to large features (each with many tasks) independently without guidance. * Proactively identify and drive changes as needed for assigned codebase, product area and/or systems. Minimum Qualifications * BS/MS in Computer Science or a related technical field. * 5+ years of experience in Python and C++ * Experience with performance and process optimization * Verbal and written communication skills, problem solving skills, customer service and interpersonal skills. * Ability to work independently and manage ones time. * Knowledge of the full software development lifecycle: from business/systems analysis, through requirements gathering and functional specification authoring, to development, testing and delivery. * Ability to troubleshoot issues and make system changes as needed to resolve issue. Experience with computer graphics and/or game engines technologies Preferred Qualifications * Designing and implementing real-time pipelines. * Designing and implementing data pipelines for CV/ML systems. * Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M). * Experience with data quality and validation. * Experience querying massive datasets using Spark, Presto, Hive, Impala, etc. * Experience in optimization of computer-vision applications. * Experience in building highly-scalable performant data pipelines * Experience with Data Modeling. Morgan McKinley is acting as an Employment Agency and references to pay rates are indicative. BY APPLYING FOR THIS ROLE YOU ARE AGREEING TO OUR TERMS OF SERVICE WHICH TOGETHER WITH OUR PRIVACY STATEMENT GOVERN YOUR USE OF MORGAN MCKINLEY SERVICES.