Machine Learning Engineer

Conceptualize, develop, and deploy machine learning models that underpin our 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- 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

Excellent problem-solving skills, attention to detail, and a strong capacity for logical thinking

Good understanding of software development principles, data structures, and algorithms

The ability to work collaboratively in an extremely fast-paced, startup environment

You are someone who loves solving complex problems, enjoys the challenges of working with huge data sets, and has a knack for turning theoretical concepts into practical, scalable solutions.

You love utilizing machine learning techniques to push the boundaries of what is possible within the realm of Natural Language Processing, Information Retrieval and related spaces.

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

Most importantly, you are excited to be part of a mission-oriented high-growth startup that can create a lasting impact

Deep understanding of any of retrieval, ranking, reinforcement learning, and agent-based systems and experience in how to build them for large systems

You are a strong team player but also thrive in autonomous environments where your ideas can make a significant impact.

Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch

We’re looking for innovative and passionate Machine Learning Engineers to join our team

A Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field