Required Senior ML Applied Research Scientist
Tel Aviv
As a Senior ML Applied Research Scientist, you'll help shape the future of AI by developing and deploying cutting-edge technologies that power our products and drive our AI strategy forward.
Working alongside researchers and engineers across Speech, NLP, Applied AI, and Infrastructure, you'll tackle complex real-world challenges using large-scale production data. This role combines hands-on research, strong engineering ownership, and the opportunity to work across multiple AI domains, including Speech, NLP, LLMs, and multimodal AI.
You'll own:
Building and improving our AI capabilities across speech recognition, speaker diarization, language identification, conversational intelligence, and LLM-powered experiences.
Evaluating, benchmarking, and integrating emerging AI technologies, models, and architectures into production-ready solutions.
Driving end-to-end ownership of AI initiatives, from research and experimentation through deployment, optimization, and continuous improvement.
You'll solve:
Complex AI challenges involving real-time transcription, conversational intelligence, multimodal understanding, and large-scale production systems.
Model performance, scalability, latency, and reliability challenges by applying advanced techniques such as fine-tuning, distillation, prompting, inference optimization, and data-centric improvements.
You'll impact:
The advancement of our AI platform and future product capabilities, enabling customers to gain deeper insights and make better business decisions.
The adoption of innovative AI technologies that improve product quality, accelerate development, and create measurable business value at scale.
Tel Aviv
As a Senior ML Applied Research Scientist, you'll help shape the future of AI by developing and deploying cutting-edge technologies that power our products and drive our AI strategy forward.
Working alongside researchers and engineers across Speech, NLP, Applied AI, and Infrastructure, you'll tackle complex real-world challenges using large-scale production data. This role combines hands-on research, strong engineering ownership, and the opportunity to work across multiple AI domains, including Speech, NLP, LLMs, and multimodal AI.
You'll own:
Building and improving our AI capabilities across speech recognition, speaker diarization, language identification, conversational intelligence, and LLM-powered experiences.
Evaluating, benchmarking, and integrating emerging AI technologies, models, and architectures into production-ready solutions.
Driving end-to-end ownership of AI initiatives, from research and experimentation through deployment, optimization, and continuous improvement.
You'll solve:
Complex AI challenges involving real-time transcription, conversational intelligence, multimodal understanding, and large-scale production systems.
Model performance, scalability, latency, and reliability challenges by applying advanced techniques such as fine-tuning, distillation, prompting, inference optimization, and data-centric improvements.
You'll impact:
The advancement of our AI platform and future product capabilities, enabling customers to gain deeper insights and make better business decisions.
The adoption of innovative AI technologies that improve product quality, accelerate development, and create measurable business value at scale.
Requirements:
You bring strong expertise in machine learning, applied research, and production-grade AI systems.
You can quickly learn new domains, evaluate emerging technologies, and turn research ideas into practical solutions.
You combine scientific curiosity with engineering rigor and enjoy solving challenging real-world problems.
You thrive in collaborative environments and communicate effectively across research, engineering, and product teams.
We operate in a flexible hybrid work model.
You bring strong expertise in machine learning, applied research, and production-grade AI systems.
You can quickly learn new domains, evaluate emerging technologies, and turn research ideas into practical solutions.
You combine scientific curiosity with engineering rigor and enjoy solving challenging real-world problems.
You thrive in collaborative environments and communicate effectively across research, engineering, and product teams.
We operate in a flexible hybrid work model.
This position is open to all candidates.
