Are you a passionate Machine Learning Engineer ready to create groundbreaking AI solutions? Join our innovative and rapidly growing start-up that is tackling the challenges of enterprise unstructured data.
We're a small, talented team, selected by visionaries and are on a mission to solve a critical data issue. With early profitability established and ambitious growth plans in motion, we are looking for multiple Founding Machine Learning Engineers to help shape our core product and make a significant impact in the ML/AI landscape.
This is a unique opportunity to: - Join a foundational engineering team: Influence our technology roadmap and engineering culture directly.
- Lead and create impactful products: Enjoy autonomy in designing, developing, and deploying cutting-edge ML/AI solutions.
- Work with the latest technology: Explore advanced techniques like Vision Language Models to achieve top-tier document parsing accuracy.
- Engage with leadership and clients: Your expertise will significantly shape product direction and engineering strategies.
- Make a substantial impact: Contribute to a product already utilized by hundreds of companies, positioning us to lead the ML/AI market.
- Thrive in an agile environment: Join a collaborative team where innovation and individual contributions are celebrated.
What you'll be doing: - Drive Data Preparation: Lead data preprocessing, rigorous feature engineering, and the creation of high-quality datasets for model training and evaluation.
- Design for Scalability: Work closely on the AI system architecture to ensure long-term scalability, efficiency, and reliability.
- Innovate with Vision Language Models: Develop and enhance state-of-the-art Vision Language Models to improve document parsing accuracy.
- Create Robust ML Pipelines: Design, implement, and maintain efficient ML pipelines from data ingestion to model deployment.
- Productionize with Assurance: Take charge of deploying and monitoring ML models in production, focusing on optimal performance and stability.
- Collaborate and Influence: Engage with founders and early clients to understand their needs, contributing to product evolution and engineering strategies.
What you'll bring to the team: - Proven ML Expertise: 1-5 years of experience as a Machine Learning Engineer, effectively implementing ML systems in high-stakes areas such as Health, Finance, or Government.
- Strong Technical Background: Proficient in Python and major AI/ML libraries like TensorFlow, PyTorch, and Hugging Face Transformers.
- Model Training Experience: Experience in training various ML models and building comprehensive ML pipelines.
- Familiarity with Vision Language Models: Solid experience in Visual Language models and Computer Vision techniques, preferably with Document Processing or OCR expertise.
- Production-Ready Approach: Skilled in all stages of productionizing ML models, including deployment, monitoring, and maintenance.
- Intellectual Curiosity: A strong academic background in Machine Learning, AI, or Computer Science, with a genuine passion for the field.
Ready to be a foundational team member at a company poised for growth and impact in the enterprise unstructured data solutions landscape? Apply now and let's create the future together.