Lead Data Scientist

As a Lead Data Scientist at Beamr, you will play a pivotal role in shaping the company’s Machine Learning and Deep Learning initiatives and drive the company AI strategy. Reporting directly to the CTO, you will oversee and take part in project execution and serve as a focal point for engineers working on ML/AI tasks.

About Beamr

Beamr (NASDAQ: BMR) is an inventor and provider of leading technology for encoding, compressing and optimizing images and videos. Our solutions and technologies are backed by 53 granted patents and serve top media companies in the world, including Netflix and Paramount. Beamr won the Emmy® award  in 2021 for Technology and Engineering. Beamr is backed by Verizon, Innovation Endeavors, and Disruptive.

Beamr Cloud, launched in February 2024, is an efficient video cloud service incorporating AI workflows. It enables high-quality, high-scale video processing for everyone, powered by GPUs. Beamr Cloud adds value in a world where videos are essential across various industries, including Artificial Intelligence, Generative AI, Streaming (OTT), Autonomous Vehicles, and User-Generated Content.

Responsibilities

Roadmap Development

• Collaborate with the CTO and other stakeholders to define the ML/DL roadmap.
• Identify key ML research areas and prioritize projects based on business impact.
• Ensure alignment with the company’s overall technology vision.

Project Execution

• Lead and take an active part in ML R&D projects from inception to deployment.
• Monitor progress, identify bottlenecks, and propose solutions.

Technical Leadership

• Act as a focal point of knowledge and provide technical guidance to the team.

Requirements

• 4+ years of hands-on industry experience as a Data Scientist, preferably in a Computer Vision oriented company.
• 2+ years of experience in Deep Learning frameworks, preferably PyTorch. 
• Strong understanding of DL algorithms with proven production experience.
• Familiarity with GPU optimization & NVIDIA tools (DeepStream, CUDA, NIM, etc.) - a big advantage!
• Knowledge of ML/DL for video or time series - an advantage. 
• Familiarity with cloud platforms such as AWS.
• Independent worker with good time-management skills.
• Ability to methodically define, setup, run, analyze & document experiments. 
• Excellent spoken and written English.