Applied Researcher- Multi Modality
Tel Aviv-Jaffa, Tel Aviv District, IL
Airis Labs
Description
Airis Labs is building the next generation video intelligence solution, combining several state of the art AI models to unlock exceptional value.
Airis was founded by experienced startup operators, and is backed by world class investors.
We are looking for a Senior Applied Researcher, specializing in NLP / Speech / Audio/ Computer Vision, to join our TLV based team.
Requirements
Who are You?
- You have at least 4 years hands on ML experience
- You have successfully deployed at least one algorithmic challenge to production, and collaborated with specialists from other disciplines (back-end, product, other AR’s and Scientists)
- You can own an end-to-end algorithmic lifecycle - ideation, research, evaluating competing approaches, analysis, optimization, and productization
- Strong background in NLP (especially LLMs) or in ASR (Automatic Speech Recognition) or in Multi Modality problems (VQA etc.)
- owner mentality, accountability for the end-goal - solving the right problem given specific time and resources
- M.Sc. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field.
Bonus Points
- Familiarity intelligence/analytics domain (incl. relevant military experience)
- Engineering background
- Start-up experience
- Publications in peer-reviewed journals or conferences in relevant domains
Why Airis-labs?
Because as a team:
We take pride in our work, and have strong internal motivation
We help each other; we spent our defining years as parts of small teams of A-players
We learn from each other: the team has several areas of excellence, ranging from SW Engineering and computer vision algorithms, to closing multimillion dollar deals across the globe.
We all have families, and we keep balance.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: ASR Computer Science Computer Vision Engineering LLMs Machine Learning Mathematics NLP Physics Research
Perks/benefits: Conferences Startup environment
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