Computer Vision DL Engineer at Beamr

Herzliya, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

20 Jun, 26

Salary

0.0

Posted On

22 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, PyTorch, TensorFlow, Python, AWS, Video Processing, Video Compression, LLMs, ML Production Systems, Physical AI, Image Processing, Algorithm Understanding

Industry

Software Development

Description

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: Take an active part in ML R&D projects from inception to deployment 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

Responsibilities

The engineer will take an active part in ML R&D projects from inception to deployment, focusing on understanding and optimizing video workflows for Physical AI solutions to enhance end-to-end performance. They will also stay current with the latest AI/ML advancements and collaborate with stakeholders to leverage company data for increased efficiencies.