Spiritual Data is hiring a
Senior Machine Learning Engineer

Summary

Altimate AI is seeking a Machine Learning Engineer with 4+ years of experience in developing machine learning algorithms and models. Ideal candidates should have advanced proficiency in Python, experience with ML libraries such as Scikit-learn, TensorFlow, and PyTorch, and expertise in deep learning for NLP. The role involves creating sophisticated machine learning models, integrating LLMs, data analysis, and code clustering. Altimate AI offers a competitive salary, equity, professional development opportunities, and the chance to shape the direction of the company.

Requirements

• 4+ years of experience in developing and implementing machine learning algorithms and models
• Advanced proficiency in Python, including experience with ML libraries such as Scikit-learn, TensorFlow, and PyTorch

Responsibilities

• Development of Advanced ML Models: Spearhead the creation and finetuning of sophisticated machine learning models that power our AI applications
• Enhancing LLM Integration: Contribute to the seamless integration of Large Language Models into our existing infrastructure, ensuring efficient and innovative AI solutions
• Data Analysis and Insight Generation: Employ machine learning techniques to analyze vast datasets, generating actionable insights and enhancing data-driven decision-making processes
• Code Clustering: Implement algorithms to effectively cluster vast quantities of code, improving our automated categorization and recommendation systems for better resource allocation and efficiency

Preferred Qualifications

Experience with Natural Language Processing (NLP), including the use of Large Language Models (LLMs) like OpenAI's GPT-3 for text generation, summarization, and analysis

Benefits

• Competitive salary
• Equity: 0.1% - 0.6%
• Extensive professional development opportunities and resources for continuous learning
• Dynamic and intellectually stimulating work environment with a team of talented engineers
• Opportunities to shape the direction of the company and leave a lasting impact