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Applied AI Scientist – Engineer
GetVocal AI. Design, build, and optimize voice AI systems for enterprise contact centers.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and optimizing voice AI systems, with a strong focus on conversational AI, machine learning, and compliance. Proven ability to collaborate cross-functionally and analyze data to enhance automation and quality in enterprise contact centers.
Highest-signal resume keywords
Proficiency In PythonExpertise In Pattern RecognitionApplied Machine Learning For Conversational AIExperience With NLPBackground In Speech-To-Text
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonMachine LearningConversational AINLPPattern RecognitionSpeech-To-TextText-To-SpeechDialogue SystemsLLMsSequence Modeling
Soft Skills
CollaborationCross-Functional TeamworkAdaptability
Tools & Technologies
OpenAI APIsOpenAI SDKs
Industry Keywords
Voice AIAI GovernanceModel ComplianceAutomation RatesInteraction Data Analysis
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, build, and optimize voice AI systems for enterprise contact centers.
- Maintain and improve existing conversation systems.
- Experiment with new approaches to conversational AI and voice technologies.
- Collaborate with Product and Engineering teams to translate business requirements into robust AI solutions.
- Analyze interaction data to continuously improve automation rates and quality.
- Contribute to model governance, safety, and compliance, ensuring AI decisions remain traceable and aligned with regulatory and customer standards.
Requirements
What you’ll need- Proficiency in Python and agentic frameworks (OpenAI APIs/SDKs).
- Expertise in Pattern Recognition and applied Machine Learning for conversational AI, NLP, or sequence modeling.
- Background in conversational AI, speech-to-text, text-to-speech, LLMs, or dialogue systems is highly beneficial.
- Ability to work cross-functionally with Product, Engineering, and Operations teams in a fast-paced environment.
- Publications at NeurIPS, ICLR, ICML, ACL, EMNLP, NAACL, or EACL are nice to have.
Benefits
Comp & perks- Competitive compensation: A highly competitive salary that reflects experience, skills, and impact.
- Stock options: The opportunity to share in GetVocal's growth and success.
- Comprehensive health, dental, and vision insurance plans.
- Remote-friendly environment: Enjoy the flexibility to work remotely while staying connected with the team.
- Flexible working hours.
- Work on cutting-edge conversational AI technologies and contribute directly to solutions used by leading international enterprises.
- International environment: Collaborate with talented people from diverse backgrounds in a fast-growing AI company.