Software Engineer, Machine Learning

The role

You will conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog, and code-generation systems. You will work across the complete ML model development lifecycle and implement advanced algorithms to improve AI systems.

What you will do

• Conceptualize, develop, and deploy machine learning models for NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
• Implement advanced machine learning algorithms like Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems.
• Process and analyze large, complex datasets to inform model development.
• Work across the complete lifecycle of ML model development.
• Implement A/B testing and other statistical methods to validate model effectiveness.
• Develop automated testing and validation processes.
• Communicate technical workings and benefits of ML models to stakeholders.

Required qualifications

• Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
• At least 2 years of industry experience in building and deploying production-level machine learning models.
• Deep understanding and practical experience with NLP techniques and frameworks, including training and inference of large language models.
• Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems.
• Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch.

Nice to have

• Excellent skills in data processing (SQL, ETL, data warehousing) and experience working with large-scale data systems.
• Experience with machine learning model lifecycle management tools, and an understanding of MLOps principles and best practices.
• Familiarity with cloud platforms like GCP or Azure.
• Familiarity with the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects.
• Good understanding of software development principles, data structures, and algorithms.
• Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking.
• The ability to work collaboratively in an extremely fast-paced, startup environment.

About the company

Ema builds AI Employees for HR, IT and Finance. The company is headquartered in Silicon Valley with offices in London, Bangalore and Vancouver.