We're looking for a Computer Vision DL Engineer to help define and drive Beamr's ML and AI research agenda. Reporting to the AI Tech Lead, you'll own the full lifecycle of Machine Learning solutions - from early-stage research through to production deployment - with a direct impact on both our product and our internal operations. This is a hybrid role based at Beamr's offices in Herzliya, with a minimum of 3 days per week on-site. What we work on: Computer Vision R&D Deep Learning Video Processing & Compression Physical AI ML Production Systems LLMs / Large-scale ML What you'll do:
* Understand and optimize video workflows for Physical AI solutions to enhance end-to-end performance
* Stay abreast of the latest advancements in relevant AI/ML technologies and bring findings to the team
* Work with stakeholders throughout the organization to leverage company data and knowledge to drive increased efficiencies
Requirements: \* MSc in Electrical Engineering or similar engineering-oriented field (e.g. Physics + Computer Science combination)
* 2+ years of hands-on, industry-oriented Computer Vision R&D
* 2+ years with PyTorch, TensorFlow or equivalent
* Proven experience building ML/ DL solutions in production
* Knowledge of image/video processing and compression
* Strong understanding of ML/ DL algorithms
* Knowledge of large-scale ML systems / LLMs
* Familiarity with cloud platforms such as AWS Advantage
* Experience in the Physical AI industry - autonomous vehicles, drones, or robotics plus
Who you are?
* Curious, proactive, fast learner - excited by emerging technologies and the challenge of a good problem
* A team player with strong communication skills and a collaborative mindset
* Methodical: able to define, set up, run, analyze, and document projects end-to-end
* Independent with strong time-management skills - able to monitor progress, identify bottlenecks, and propose solutions
* Excellent spoken and written English
Core tech stack PyTorch | TensorFlow | Python | AWS | Computer Vision | Deep Learning | Video Compression | LLMs
This position is open to all candidates.