Software Engineer, Machine Learning

About Ema

Role overview

Responsibilities

• Develop and deploy ML models for NLP, retrieval, ranking, reasoning, dialogue, and code-generation systems.
• Implement advanced ML approaches, including transformer models, reinforcement learning, ensemble learning, and agent-based systems.
• Analyze large structured, semi-structured, and unstructured datasets to inform model development.
• Work across problem definition, data exploration, feature engineering, model training, validation, and deployment.
• Apply A/B testing and statistical methods; develop automated model testing and validation.
• Communicate model workings and benefits to technical and non-technical stakeholders.

Minimum qualifications

• Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
• At least 2 years of industry experience building and deploying production-level ML models.
• Practical NLP expertise, including training and inference of large language models.
• Deep understanding of at least one of retrieval, ranking, reinforcement learning, or agent-based systems, and experience building for large systems.
• Proficiency in Python and experience with TensorFlow or PyTorch.

Preferred qualifications

• Data processing skills such as SQL, ETL, and data warehousing, plus experience with large-scale data systems.
• Experience with ML lifecycle tools and MLOps principles and practices.
• Familiarity with GCP or Azure and current ML and AI trends.
• Understanding of software development principles, data structures, and algorithms.
• Problem-solving, attention to detail, logical thinking, and ability to collaborate in a fast-paced startup.

Compensation

• Compensation depends on location, level, job-related knowledge, skills, and experience.
• Certain roles may be eligible for variable compensation, equity, and benefits.