Software Engineer, Machine Learning
Mountain View (Hybrid)$160k - $220kFull-timePosted 11mo ago
About the role
Machine Learning Engineer focusing on NLP, information retrieval, and related AI systems to build production-grade AI employees at Ema.
Responsibilities
- Conceptualize, develop, and deploy machine learning models that underpin NLP, retrieval, ranking, reasoning, dialog and code-generation systems.
- Implement advanced machine learning algorithms, such as Transformer-based models, reinforcement learning, ensemble learning, and agent-based systems to continually improve the performance of our AI systems.
- Process and analyze large, complex datasets (structured, semi-structured, and unstructured), and use your findings to inform the development of our models.
- Work across the complete lifecycle of ML model development, including problem definition, data exploration, feature engineering, model training, validation, and deployment.
- Implement A/B testing and other statistical methods to validate the effectiveness of models. Ensure the integrity and robustness of ML solutions by developing automated testing and validation processes.
- Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders, facilitating understanding and adoption.
Qualifications
- A 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.
Skills
Required:Master’s or Ph.D. in a quantitative fieldIndustry ML model developmentNatural Language ProcessingRetrieval/Ranking/RL/Agent-based systemsPythonTensorFlow or PyTorch
Last updated Oct 22, 2026. Interested? Apply on the company site.
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