Note: The job is a remote job and is open to candidates in USA. Presto Phoenix, Inc. is a leading Voice AI company for restaurant drive-thrus, focused on building impactful real-world AI applications. They are seeking a Lead AI Engineer to develop and integrate advanced automatic speech recognition technologies into their Voice AI systems, driving innovation and collaboration across teams.
Responsibilities
- Lead the design, development, and customization of high-performance, production-grade ASR systems optimized for real-world restaurant environments
- Rapidly evaluate, prototype, and integrate state-of-the-art and emerging speech recognition technologies into existing and future voice products
- Partner closely with Product, Engineering, and Go-To-Market teams to define new voice features, technical capabilities, and roadmap priorities
- Own the end-to-end lifecycle of ASR innovation—from research exploration to deployment, optimization, and continuous improvement
- Define speech data requirements, data strategies, and evaluation methodologies to support new AI-driven product features
- Communicate technical tradeoffs, performance characteristics, and system limitations clearly to cross-functional stakeholders
- Mentor and elevate junior engineers and researchers, setting technical standards and fostering a culture of experimentation and learning
Skills
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field (or equivalent practical experience)
- 5+ years of experience building and deploying automatic speech recognition systems
- 5-8+ years of experience in AI/ML engineering or software engineering with applied AI
- Deep, hands-on expertise with modern ASR architectures, machine learning, and deep learning techniques
- Strong experience working with real-time, production speech systems and rapidly integrating new model advancements
- Proven ability to move from research to scalable, customer-facing AI solutions
- Strong programming skills in Python, C, and/or C++
- Experience with ML frameworks such as PyTorch, TensorFlow, or similar
- Experience working with embedded or resource-constrained speech recognition systems
- Comfort operating in fast-moving, ambiguous environments where priorities evolve quickly
- Masters Degree or Ph.D. in Computer Science, Electrical Engineering, or related field
- Native Spanish Speaker
- Experience with near-field and far-field speech signal processing
- Hands-on experience with text-to-speech (TTS) systems
- Experience applying ASR in noisy, real-world, customer-facing environments
Benefits
- Equity
- Medical, dental, and vision insurance
- A 401(k) program
- Paid time off (PTO)
Company Overview
Company H1B Sponsorship