Qualitest, The World’s Leading AI-Powered Quality Engineering Company

At Qualitest we're all about ensuring everything runs smoothly, whether it's your business, technology, or operations. We leverage smart engineering-led practices and precise processes to maintain excellence in all that we do.

Our clients are the world’s top brands and our diverse global team of 8,000 employees, including 1,500 in Israel, collaborates with industry leaders in technology, finance, insurance, and beyond, making a significant impact in the world of technology.

We offer creative and flexible solutions to ensure the quality of your business operations, safeguarding your brand's reputation. We're proud to say we've been pushing the boundaries for over 25 years now, always striving for innovation and delivering exceptional service.

Ready to make a difference? Join our dynamic and forward-thinking team!

We are looking for our next Computer vision / Machine Learning Software Engineer to join our growing team in Tel Aviv!

Reality Labs brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today.

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.

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.
  
  

• 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.
• Experience with GenAI/diffusion-models/Gaussian-splats
• 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.
  
  

• 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.
  
  

• Recognized among Israel's top 100 best places to work for, four years in a row
• Be part of a company that is a globally recognized leader in Quality Engineering
• Experience our team spirit, working with real people, and solving real challenges
• Work with Senior Specialists and Practice Experts.
• Nurture your personal and professional growth through tailored career paths
• Dive into interesting projects using cutting-edge technology designed by and for Quality Engineers
• Enjoy unique placement opportunities worldwide
• We believe in a workplace culture that values open communication and fairness, encouraging our employees to feel seen, supported, and empowered to realize their full potential