We’re looking for highly motivated AI/ML Research Scientists to push the boundaries of artificial intelligence and design models that redefine human–machine communication.

Responsibilities:

• Conduct research on next-generation AI/ML models focused on voice, speech, and natural interaction.
• Design architectures that make communication between humans and AI more natural and intelligent.
• Collaborate with product teams to bring cutting-edge research into real applications.
• Publish findings in top journals and conferences.

Requirements:

• PhD or advanced degree in Computer Science, AI/ML, or related field.
• Strong research background in speech, language, or multimodal AI.
• Proficiency in Python and frameworks such as PyTorch or TensorFlow.
• Demonstrated record of publications or innovative projects.

We’re seeking Data Scientists passionate about analyzing voice, speech, and paralinguistic datasets to unlock the emotional side of communication.

Responsibilities:

• Collect and analyze multimodal datasets (voice, tone, rhythm, context).
• Build models that interpret emotional and contextual meaning.
• Collaborate with engineers to design emotionally intelligent AI systems.

Requirements:

• Degree in Data Science, Statistics, or related field.
• Strong skills in ML, statistics, and data modeling.
• Experience with speech/emotional datasets is a plus.
• Proficiency in Python, R, or similar tools.

We need Machine Learning Engineers to transform prototypes into scalable AI systems that bring voice intelligence to millions of users.

Responsibilities:

• Optimize model training and deployment pipelines.
• Translate research into production-ready solutions.
• Ensure real-time performance and scalability.

Requirements:

• Degree in Computer Science, Engineering, or related discipline.
• Strong programming skills (Python, C++, Java).
• Experience with ML frameworks (PyTorch, TensorFlow).
• Familiarity with cloud platforms (AWS, GCP, Azure).

As a Speech Recognition Engineer, you will help LaVoice AI capture the true meaning behind human speech—accents, tone, and rhythm included.

Responsibilities:

• Develop advanced speech-to-text systems.
• Incorporate paralinguistic features for more natural recognition.
• Train models across multiple languages and accents.

Requirements:

• Background in Speech Processing or Signal Processing.
• Experience with ASR frameworks (Kaldi, ESPnet, DeepSpeech).
• Strong coding skills in Python or C++.
• Knowledge of phonetics/prosody is a plus.

We’re hiring Speech Synthesis Engineers to create AI voices that sound truly human.

Responsibilities:

• Develop neural TTS models.
• Focus on natural intonation, rhythm, and emotional expression.
• Integrate synthetic voices into real-world applications.

Requirements:

• Experience with speech synthesis frameworks (Tacotron, WaveNet, VITS).
• Background in DSP and linguistics.
• Strong Python and ML experience.

Computational Linguists at LaVoice AI bridge the gap between language, meaning, and machines.

Responsibilities:

• Work on natural language understanding and contextual semantics.
• Collaborate with engineers to embed linguistic knowledge into AI systems.

Requirements:

• Degree in Linguistics, Computational Linguistics, or NLP.
• Experience with semantic modeling and NLP frameworks.
• Strong coding and analytical skills.

We seek Cognitive Neuroscientists to help our AI understand how humans process speech, tone, and emotions.

Responsibilities:

• Provide insights into brain and cognitive mechanisms of language.
• Guide the development of emotionally intelligent AI systems.

Requirements:

• Degree/PhD in Neuroscience, Psychology, or related field.
• Research experience in speech, emotion, or cognition.

We’re looking for Human Factors Specialists to ensure usability, trust, and adoption of LaVoice AI products by real people in real contexts.

Responsibilities:

• Lead user research (interviews, contextual inquiries, usability tests) for voice and multimodal experiences.
• Design evaluation frameworks that measure usability, trust, and accessibility of voice systems.
• Create prototypes and run iterative tests to validate conversational flows and UX assumptions.
• Advocate for inclusive design and accessibility across product and engineering teams.
• Translate research findings into actionable product improvements and KPIs.

Requirements:

• Degree or experience in Human Factors, HCI, UX research, psychology, or a related field.
• Proven experience running user research and usability testing (voice interfaces a plus).
• Familiarity with accessibility standards and inclusive design practices.
• Ability to synthesize qualitative and quantitative insights and present them clearly to stakeholders.

We seek Ethical AI Specialists to guide responsible, transparent, and fair deployment of our voice and language technologies.

Responsibilities:

• Evaluate models and datasets for bias, fairness, and unintended harms.
• Develop policies, governance frameworks, and checklists for ethical AI practices.
• Perform risk assessments and auditing of AI systems before deployment.
• Work with product, legal, and research teams to ensure compliance with regulations and best practices.
• Deliver training and guidance to teams on ethical considerations and mitigation strategies.

Requirements:

• Background in AI ethics, philosophy, public policy, law, or data science with ethics experience.
• Experience assessing model bias, fairness metrics, and mitigation techniques.
• Strong communication skills to translate ethical concepts into product decisions.
• Familiarity with relevant regulations and industry standards is a plus.

We’re hiring Full Stack Software Engineers to build APIs, platforms, and interfaces that integrate LaVoice AI models into products at scale.

Responsibilities:

• Design and implement front-end and back-end components for AI-driven features.
• Build and maintain APIs and real-time services that connect to speech and language models.
• Ensure system security, performance, testing, and maintainability.
• Collaborate with ML engineers and product teams to ship features end-to-end.

Requirements:

• Proficiency in front-end frameworks (React, Vue, or Angular) and back-end stacks (Node.js, Python, or Java).
• Experience building RESTful APIs, websockets, and real-time services.
• Knowledge of databases (SQL & NoSQL), CI/CD, and automated testing.
• Experience deploying to cloud platforms and working with containerization (Docker).

We need Systems Engineers to design, scale, and operate the infrastructure that powers LaVoice AI across production environments.

Responsibilities:

• Design and operate scalable, resilient infrastructure for model training and serving.
• Implement monitoring, logging, alerting, and incident response practices.
• Automate deployments, manage container orchestration (Kubernetes), and tune performance.
• Ensure security, backup, and disaster recovery capabilities for critical systems.

Requirements:

• Experience with cloud providers (AWS, GCP, Azure) and infrastructure-as-code tools (Terraform, Ansible).
• Strong knowledge of Docker, Kubernetes, Linux systems, and networking fundamentals.
• Scripting skills (Python, Bash) and familiarity with CI/CD pipelines.
• Experience with monitoring/observability tools and reliability engineering practices.

We’re looking for Applied AI Product Leads to translate research breakthroughs into practical solutions for sectors such as healthcare, education, defense, and beyond.

Responsibilities:

• Define product strategy and roadmaps that operationalize AI research into impactful products.
• Coordinate cross-functional teams (research, engineering, design, regulatory) to deliver pilots and full launches.
• Assess domain-specific requirements (e.g., privacy, regulatory compliance) and shape product design accordingly.
• Measure product outcomes, run pilots, and iterate based on user feedback and performance metrics.

Requirements:

• Proven product leadership experience, ideally bringing AI/ML research into production products.
• Domain knowledge in at least one applied sector (healthcare, education, defense, etc.) is a strong plus.
• Excellent stakeholder management, communication, and project execution skills.
• Comfort working with technical teams and translating technical constraints into product decisions.