Software Engineer 2 , Machine Learning

WHAT WILL EXCITE US? - MIMP: An AI-first approach for solving problems. - Hands-on experience building statistical and machine learning models, with proven expertise across traditional methods (regression, classification, clustering, tree-based models) and deep learning techniques (neural networks, CNNs, RNNs). - Solid prompt engineering skills. - Hands-on experience building and deploying AI Agents using LangChain, LangGraph, OpenAI API, Gemini API, Anthropic API, etc. - Hands-on experience with multi-step agent workflows, orchestration, and evaluating agent reliability. - Hands-on experience with vector databases (Pinecone, Weaviate) and semantic search. - Hands-on experience fine-tuning open-weight language models and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP). - Good debugging and online searching skills. - Good communication skills. - Good problem-solving skills (ability to solve hard-level data structures and algorithms problems). WHAT WILL YOU BE DOING? - Collaborate closely with product managers and business stakeholders to gain a deep understanding of business challenges, translating them into well-defined machine learning problems and actionable project requirements that drive business growth and enhance learner experiences. - Leverage your expertise in statistical modeling, machine learning, and generative AI/LLMs to research and design optimal solutions for the identified machine learning problems. - Collaborate closely with machine learning engineers to develop and refine optimal solutions for the identified machine learning problems. - Closely work with Applied AI/ML engineers building LLM-powered agentic systems for real product use cases. - Design, develop, and optimize agent pipelines/APIs, build tests for agent behaviors, and contribute to evaluation frameworks. - Take ownership of deploying the developed machine learning solutions into scalable production environments (on cloud platforms like AWS, Azure, GCP) and ensure these deployed solutions are effective. - Staying informed about recent developments in AI/ML, including key publications, best practices, evaluation methodologies, technology stacks, and relevant tools. WHY WILL YOU ENJOY WORKING WITH US? - Permanent remote / work-from-home culture - Opportunity to work on a cutting-edge AI technology stack - An AI-first approach to solving real-world problems - Complete ownership and trust from leadership - Your ideas and concerns are actively heard by the leadership team - Freedom to experiment, fail, and learn - Rapid career progression for high performers - Work with a high-caliber team of engineers and industry experts - Learn how a fast-growing startup builds and scales