Founding ML Engineer

Build the Intelligence Behind Audio AI

At David AI, we’re turning raw audio into structured intelligence, powering the next wave of AI models and applications. In just seven months, we’ve secured top AI labs and FAANG companies as customers and are backed by First Round Capital, Y Combinator, SV Angel, and more.

We’re solving the toughest challenges in audio AI. Now, we need a Founding ML Engineer to help push the boundaries even further. If you're excited about building production-grade ML systems, working on bleeding-edge AI research, and deploying real-world AI at scale, this is your opportunity to drive impact from day one.

What You’ll Do

• Develop and deploy ML models that extract intelligence from large-scale audio datasets.
• Design scalable, efficient data pipelines to process and optimize terabytes of data daily.
• Work closely with top AI research labs to integrate state-of-the-art techniques into real-world applications.
• Own the full ML lifecycle—from research & prototyping to production deployment & monitoring.
• Collaborate directly with our CTO and CEO to define our technical and product strategy.

Who You Are

• Experience building and deploying ML models in production, preferably in audio, speech, or NLP.
• Strong background in deep learning, signal processing, or foundation models.
• Entrepreneurial mindset—ownership, adaptability, and the ability to execute in a fast-moving startup.
• Experience working with large-scale datasets and optimizing for performance & scalability.
• Excited to think like a founder—your work will directly shape the company and product.

Technical Challenges You’ll Tackle

• Build and optimize data pipelines to handle massive-scale audio data efficiently.
• Develop cutting-edge speech & audio ML models, integrating LLMs, self-supervised learning, and generative AI.
• Solve latency and scalability challenges in real-time audio intelligence processing.
• Architect and implement MLOps workflows for seamless deployment and monitoring.

Tech Stack (Preferred, Not Required)

• ML Frameworks: PyTorch, TensorFlow, JAX
• Data Pipelines: Ray, Spark, Airflow
• Cloud & Infra: AWS, GCP, Kubernetes
• Audio Processing: torchaudio, librosa, Kaldi

Why Join Us?

• Unprecedented market opportunity 🚀 – we’re working on some of the most exciting challenges in audio AI right now
• Elite customer base 🏆 – we partner with the world’s best AI research labs and FAANG companies
• High-impact, high-ownership role 💡 – shape the future of our operations and company
• Strong financial backing 💰 – $5M in funding from Tier 1 investors, including First Round Capital and Y Combinator

Ready to build the future of Audio AI? Apply now!