Machine Learning Engineer

Machine Learning Engineer

Requirements

• Holds a Bachelors or Masters degree in Computer Science or a related field
• A minimum of 3+ years of relevant industry experience
• Hands-on experience building ML models, and with finetuning/post-training LLMs or other foundation models
• Demonstrates deep understanding of state-of-the-art ML models and current research landscape
• Is able to deploy, monitor, and maintain ML models in production environments
• Has proficiency in Python and core ML frameworks, such as PyTorch, Tensorflow, Jax, etc.
• Is able to work with large datasets and perform data preprocessing and feature engineering
• Is experienced working end-to-end with product/infra engineers, data scientists and PMs

Responsibilities

• Build, optimize, and deploy robust SID/ASR/NLP/LLM pipelines powering summarization, chat, and other core product experiences
• Implement and scale training, fine-tuning, and inference for large language models (LLMs) using PyTorch or JAX
• Collaborate with research scientists to operationalize experimental models and bring cutting-edge ideas into production
• Own the reliability, latency, and scalability of AI-based systems and ensure they meet production standards
• Contribute to model monitoring, evaluation, and continuous improvement efforts using real-world conversational data
• Develop tools, infrastructure and data pipeline for automated training, evaluation, and deployment of ML models in a cloud environment

Preferred Qualifications

• Experience with scaling large ML systems is a strong plus
• Significant experience with ASR/TTS or sequence-based NLP tasks (such as summarization) is a strong plus