Beatdapp | Machine Learning (ML) Engineer
- Location: Vancouver, Canada (ONSITE / Hybrid)
- Employment Type: Full-time
- Source: Hacker News
About Beatdapp
Beatdapp is a ~50-person startup delivering audio and streaming integrity technology to media platforms. We process data at TB/PB scale to protect the royalty ecosystem, generate authentic recommendations, and detect AI-generated content.
About the Role
We are looking for an experienced ML engineer (+3 years) to work on our inference systems and data platform. In this role, you will be executing ML engineering, cloud platform/infrastructure design, and building ML model inference systems.
You will be a good fit if you have deep experience across different data stores, distributed systems, caching, and data transfer protocols. Our team manages and maintains integrated software systems, including inference containers, data processing pipelines, and feature stores/generation platforms.
Technical Stack
- Cloud: Multi-cloud (AWS, GCP)
- Infrastructure & Tools: Docker, Airflow, Terraform, GitHub Actions
- ML/Data: Python, MLflow, BigQuery, SQL, S3, GCS
Requirements & Qualifications
- Experience: 3+ years of experience in ML engineering.
- Soft Skills: Collaborative, low-ego, and comfortable working on projects that move at the pace of weeks rather than months.
- Nice-to-haves:
- Experience with audio/media systems
- Signal processing/spectrograms
- Speech detection systems
- Computer vision
- GPU hardware development
- Event streaming systems
How to Apply
- Full Posting: View on Breezy
- Direct Contact: Reach out to Kevin at kevin [at] beatdapp.com