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Posted 1 week, 6 days ago

Beatdapp

Machine Learning (ML) Engineer

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Roles

Machine Learning (ML) Engineer

Tech stack

computer vision GPU hardware Amazon Web GitHub Actions Google Cloud Storage Python speech detection GCS Spectograms GCP AWS Event Streaming media audio Amazon S3 SQL Terraform Apache Airflow MLflow Docker signal processing BigQuery

Required

Amazon Web Services (AWS)Google Cloud Platform (GCP)DockerApache AirflowPythonMLflowBigQuerySQLAmazon S3Google Cloud Storage (GCS)GitHub ActionsTerraform

Nice to have

Audio/media systemsSignal processingSpectogramsSpeech detection systemsComputer visionGPU hardware developmentEvent streaming systems

Location

Vancouver, Canada

Work setup

Employment
full-time
Level
Senior
Remote policy
ONSITE (Hybrid)
Remote scope
hybrid

Role details

Responsibilities

  • Execute ML engineering
  • Design cloud platform/infrastructure
  • Build ML model inference systems
  • Work with inference containers
  • Build/maintain data processing pipelines
  • Support feature stores/generation platforms
  • Maintain integrated software systems at TB/PB data scale

Requirements

  • +3 years experience
  • Deep experience across different data stores
  • Experience with distributed systems
  • Experience with caching
  • Experience with data transfer protocols

Application

Full posting: https://beatdapp.breezy.hr/p/fcefc290c7b0-ml-engineer-ii-inference-platform

Portfolio
unclear
GitHub
unclear
Cover letter
unclear
Apply flow
external

Company context

Protect the royalty ecosystem, generate authentic recommendations, and detect AI-generated content for media platforms.

Product
audio and streaming integrity technology for media platforms
Industry
audio and streaming integrity technology
Size
~50-person

Contact

kevin

kevin [at] beatdapp.com

Description

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. 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'll 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. Stack: Multi-cloud (AWS, GCP), Docker, Airflow, Python, MLflow, BigQuery, SQL, S3, GCS, GitHub Actions, Terraform. The team is collaborative, and low-ego - we're looking for talented engineers who are comfortable working on projects that move at the pace of weeks rather than months and who love learning. Nice-to-haves include experience with audio/media systems, signal processing/spectograms, speech detection systems, computer vision, GPU hardware development, and event streaming systems. Full posting: https://beatdapp.breezy.hr/p/fcefc290c7b0-ml-engineer-ii-inference-platform Or reach me directly: kevin [at] beatdapp.com

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