Machine Learning Engineer
Core
Building AI models for human-like conversations at the intersection of speech, language, and intelligence to power real-time, scalable systems.
Role type
Senior IC machine learning engineer (speech & NLP)
Builds
Real-time AI systems for voice, email, and enterprise operations
Domain
AI infrastructure, speech technology, NLP (via careerplan.io/jobs/46cff020-a295-4464-a062-94639689654e-machine-learning-engineer-at-happyrobotai)
Deliverable
production ML models
Required skills
machine learning, deep learning, NLP, MLOps, data pipelines, Python, Go, ML lifecycle management, system design for robustness and scalability, data engineering
Preferred skills
speech recognition, TTS, audio processing, LLMs, generative AI, real-time inference, data orchestration (Airflow, Prefect, Dagster), cloud infrastructure (AWS/GCP/Azure), containerization (Docker, Kubernetes)
Technologies
Python, Go, MLflow, Kubeflow, Weights & Biases, Airflow, Prefect, Dagster, AWS, GCP, Azure, Docker, Kubernetes
Responsibilities
Design, build, and maintain scalable ML systems from data ingestion to deployment; Develop and optimize end-to-end ML pipelines; Implement MLOps practices including model versioning, experiment tracking, and CI/CD; Collaborate with product and engineering teams to integrate models into real-time products; Ensure data quality, observability, and performance across AI systems; Stay current with AI infrastructure, tooling, and research
Seniority
Senior, hands-on IC
