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Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- Develop and advance speech, audio, and multimodal LLMs that power next-generation voice-first agentic AI experiences
- Leverage AI-native and agentic workflows to accelerate research, development, evaluation, and deployment of AI systems
- Design and deploy AI models and platforms with strong consideration for AI safety, security, privacy, and Sovereign AI requirements
- Establish and drive benchmarking frameworks for voice agents, including speech quality, reasoning, tool use, latency, reliability, and user experience
- Lead technical initiatives, mentor engineers, and foster a One Team culture through close collaboration across research, engineering, product, and customer teams
Requirements
What you’ll need- Master's degree in Computer Science, AI, Electrical Engineering, or related field (or equivalent experience)
- 2+ years of experience building and deploying speech, multimodal AI, or LLM systems
- Strong Python skills and experience with PyTorch or TensorFlow
- Hands-on experience with ASR, TTS, speech understanding, audio-language models, or multimodal LLMs
- Experience building production ML pipelines and MLOps infrastructure
- Proven technical leadership and mentoring experience
- Strong problem-solving, communication, and teamwork skills
Benefits
Comp & perks- highly competitive salaries
- comprehensive benefits package
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Speech UnderstandingAudio-Language ModelsASRTTSMachine Learning PipelinesPyTorchTensorFlow
Soft Skills
Problem-SolvingCommunicationTeamwork
Certifications
Master's Degree in Computer ScienceMaster's Degree in AIMaster's Degree in Electrical Engineering
