Amazon Science
Sr. Applied Scientist, Alexa International
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Sr. Applied Scientist, Alexa International
Senior Applied Scientist, Speech Models (International & Multilingual) – Alexa International Science Team
Alexa is hiring a passionate, talented, and inventive Senior Applied Scientist with a strong background in speech models (understanding and generation) and deep learning to help build industry-leading Generative AI technology with speech-to-speech models and multilingual systems.
At this level, you will:
- Drive cross-team scientific strategy for speech quality across international locales
- Influence partner teams
- Deliver high-impact solutions for Alexa’s global products
Key Job Responsibilities
As part of the Alexa International team, you’ll:
- Work with talented peers to develop novel algorithms and modeling techniques in:
- Multilingual speech generation
- Text-to-speech (TTS) synthesis
- Speech-to-speech (S2S) models
- Directly impact customers across multiple languages by improving natural, expressive, and locale-appropriate voice experiences for Alexa+
- Leverage Amazon’s heterogeneous data sources and large-scale computing to accelerate advances in:
- Speech synthesis
- Voice quality
- Pronunciation accuracy for non-English locales
- Requires solid foundational knowledge of:
- Machine learning
- Speech synthesis (TTS/S2S)
- Multilingual phonetics
- Modern model architectures
- Academic evaluation methodologies
- Thrives in a fast-paced multidisciplinary environment, combining:
- Data science
- Engineering expertise
- Influence across cross-functional teams
- Excels at delivering high-impact solutions via experimentation-driven iteration while balancing customer feedback with scaling efforts
- Aligns research priorities with international speech quality goals by engaging with:
- Scientific leadership
- Partner teams
- Product managers
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A Day in the Life
- Deep dives into experiment results and model architecture iteration for speech generation
- Cross-functional engineering collaboration to optimize production deployment of models
- Alignment with product managers to prioritize research based on customer needs
- Participation in:
- Science reviews
- Paper reading groups
- Brainstorming sessions with global scientific teams
- Directly shapes Alexa’s voice experiences in international markets, enabling scalable solutions with broad impact
About the Team
The Alexa International Tech team enables Alexa’s global expansion by making solutions:
- Scalable
- Reliable
- Locally relevant for all customers
Core focus areas include:
- Multi-model AI orchestration
- Multilingual model/data readiness
- Speech and language quality
- Reward modeling for voice AI
- Synthetic data generation
- Automated evaluation
- Developer tooling
- Defect analysis and launch mechanisms
Mission: Build platforms that empower teams to develop Alexa+ experiences once, and scale them across languages, countries, devices, models, and expectations—without reinventing the underlying mechanisms.
Basic Qualifications
- A Master’s degree, PhD, or equivalent professional experience in:
- Machine learning
- Speech processing
- Natural language processing
- Computational linguistics
- Distilled experience with neural deep learning (e.g., RNNs, Transformers, self-supervised models)
- Strong practical programming skills in:
- Java
- C++
- Python
- Related MLE tools (e.g., Scikit-learn, PyTorch, TensorFlow)
- Proven track record of building production-grade ML systems for commercial or customer-facing applications
- Applied research experience, including:
- Half-dozen+ peer-reviewed publications or patents (highly preferred)
- Industry conferences or workshops (e.g., Interspeech, ICCP, NAACL), or equivalent
- Mentored junior research teams
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Preferred Qualifications
- Expertise in speech and phonetics (e.g., acoustic/conversational models, phoneme-based or subword system alignments)
- Experience with execution-backed tools:
- TensorFlow, Pytorch, MXNet, 'organic AI frameworks (e.g., Google’s T5Wed, DeepMind’ WaveNet)
- OCR or symbolic models (e.g., G2P, prosody systems)
- Fluency in multilingual translation pipelines (e.g., Fairseq, Marian) or lang щек quality systems (e.g., BLEU, ConvLab)
- Experience with large-scale distributed systems for training/inference:
- Hadoop/Spark/TensorFlow Serving
- GPU clusters
- Dynamic orchestration (e.g., Kubeflow, Apache Airflow)
- Hands-on familiarity with real-time speech production and quality measurement:
- End-to-end MOS or perception studies
- $x$-transformer or attention-weight analysis
Amazon is an equal opportunity employer and is proud to be an Affirmative Action and Equal Employment Opportunity employer.
We value your passion to discover, invent, simplify, and build—including technologies that deliver a better way to make your voice heard. Protecting your privacy and securing your data are longstanding priorities; refer to our Privacy Notice for detailed information on how we handle personal data.
For accommodation or workplace support during the application process, please visit Amazon’s accommodation portal. If your country/region doesn’t list this contact, edit your request for your recruiting partner’s assistance.
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