Computer Vision Machine Learning Engineer - Codec Avatars

Machine Learning Computer Vision Engineer

MUST BE BASED IN OR WILLING TO LIVE IN SWITZERLAND. CROSS BORDER APPLICANTS CONSIDERED

As a CV/ML engineer working on 2D&3D AR/VR projects, you’ll be driving efforts to develop new capabilities for Codec Avatars that provide creativity and social play experiences for people connecting through AR or VR products. This includes building the infrastructure, training, analyzing and productizing 2D&3D CV/ML algorithms that define the future of online social interaction.

Job Responsibilities

• Design, build and launch efficient CV/ML models and evaluate them in real-time and on mobile device.

• Develop prototypes for future AR/VR experiences, cutting edge research, drive continued development, or integrate robust solutions into products

• Code using Python and efficient real-time CV/ML libraries.

• 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 CV/ML development

• Experience in building and maintaining scalable CV/ML pipelines (image processing, model training)

• Experience with CV/ML performance and runtime optimization

• Experience with Data Modeling.

• Verbal and written communication skills, problem solving skills, customer service and interpersonal skills.

• Ability to work independently and manage one’s 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.

•GenAI/diffusion-models/Gaussian splats

Preferred Qualifications

• Designing and implementing real-time CV/ML pipelines.

• ML Model optimization and on-device deployment

• Designing and implementing data pipelines for CV/ML systems.

• Experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).

• Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.

For more information, please send your CV to this advert or email your CV to [email protected] Please highlight your experience with GenAI/diffusion-models/Gaussian-splats.