Senior Machine Learning Engineer (Generative AI)

November 25, 2023

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Spiritual Data

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Unite science and people through a collaborative source of truth for spiritual questions.

Research • Data Science • NLP • Data Analytics • Spirituality

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Description

• Altimate AI is a pioneering seed-stage startup redefining how data teams function by automating mundane yet crucial data tasks. Our revolutionary AI teammate, DataPilot, is engineered to save costs, enhance data quality, and expedite development cycles for data teams. Datapilot's AI agents integrate seamlessly into daily workflows, offering a unique blend of AI-powered assistance through VSCode IDE extensions, browser-based applications, and a versatile SaaS platform. As we re-imagine dev tools with AI, our product is used by hundreds of companies worldwide and a community of thousands of data professionals. • Development of Advanced ML Models • Enhancing LLM Integration • Data Analysis and Insight Generation • Code Clustering • Innovation at the Forefront • High Visibility & Impact • Open Source Contribution • Career Growth

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. Demonstrable ability to write clean, maintainable, and efficient code. • Experience with advanced text mining methods and the ability to leverage machine learning algorithms to uncover insights, trends, and patterns within unstructured text data. • (Desirable) 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. • (Desirable) Practical experience with cloud services (AWS, Azure, GCP) including compute, storage, and ML services. Ability to design and manage cloud infrastructure for machine learning workloads. • (Desirable) Expertise in deep learning for NLP with Transformers (BERT, GPT, T5), RNNs, and LSTMs, and skill in fine-tuning these models for text classification, summarization, and generation tasks. • (Desirable) Proficiency in ML experimentation, A/B testing, and model evaluation to inform iterative improvements.

Benefits

• Competitive salary, equity • 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 • Multiple years of the runway in the bank • Backed by prominent investors in the enterprise space • Active engagements with top-tier private and public companies • Open Source Contribution • Career Growth