Ema is building the world's leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs.

Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver, Ema is at the frontier of what Agentic AI can do in production - we ship real systems that run real business processes at scale. We're looking for innovative and passionate Machine Learning Engineers to join our team. 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. 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.

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. 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. Proficiency in Python and experience with ML libraries such as TensorFlow or PyTorch. 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 the latest industry and academic trends in machine learning and AI, and the ability to apply this knowledge to practical projects. Valuable understanding of software development principles, data structures, and algorithms.

Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics. #

📌 Software Development Engineer - Machine Learning (Vancouver)
🏢 AI Chopping Block
📍 Vancouver