Job Description

Our client is a public safety product that's looking to add a machine learning engineer to their team. This particular role is focused on NLP/NLU for their real-time audio translation team.

If you're excited about the future of video, audio, video content moderation, and more then you should reach out.

Core Challenges:

• Mobile Video Streaming The app is designed to ingest high-quality, low-latency video, transcode, and redistribute it to external media seamlessly.
• Radio Hardware Development of proprietary software-defined radio-based devices to capture all radio dispatches in every major city, covering both analog and digital signals.

Preferred Qualifications

• A degree in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
• A strong theoretical foundation in core Machine Learning concepts and techniques.
• Proficiency in fundamental principles of Linear Algebra, Statistics, and Probability.
• Experience with various ML techniques and frameworks, such as data discretization, normalization, sampling, linear regression, decision trees, SVMs, and deep neural networks.
• Familiarity with DL software frameworks like TensorFlow or PyTorch.
• At least 3 years of experience leading and implementing effective ML solutions in large scale production environments.

Technology Environment: Go for Transactional Systems and Python for Analytic Systems running on a Kubernetes Infrastructure in GCP. Database is in Cassandra, MySQL, Redis, and Google PubSub. Web Services are build via React.js and Typescript.