ML Engineer - NLP & Agentic AI Systems (Equity)

Latitude; San Francisco, Northern (CA, KY); Hybrid; USD 160,000 - 220,000; Full time

Job summary

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We hire ML engineers who can deploy models powering NLP, retrieval, ranking, reasoning, dialog and code-generation systems.

You will work on problem definition, data exploration, feature engineering, model training, validation and deployment while collaborating in a fast-paced startup. Competitive California base salary with equity and benefits.

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 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.

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 findings to inform model development.
• 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 effectiveness of models; develop automated testing and validation processes.
• Clearly communicate the technical workings and benefits of ML models to both technical and non-technical stakeholders.

Skills

NLP

Transformers

Reinforcement Learning

Ensemble Learning

Agent-based Systems

Python

TensorFlow

PyTorch

Education

Master's or PhD in CS/ML

Job description

Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We hire ML engineers who can deploy models powering NLP, retrieval, ranking, reasoning, dialog and code-generation systems.

You will work on problem definition, data exploration, feature engineering, model training, validation and deployment while collaborating in a fast-paced startup. Competitive California base salary with equity and benefits.