Founding Machine Learning Engineer: - Large Scale Start up Experience is Necessary. All Engineers here have to be able to productionise their own models - document processing or OCR would be highly beneficial.
Are you a passionate and driven Machine Learning Engineer eager to build ground breaking AI solutions from the ground up? Join an innovative, well-funded, rapidly growing start-up focused on solving the long-standing problem of enterprise unstructured data.
We're a small, exceptionally talented team, handpicked by an innovative founder, and we're on a mission to solve a long-standing data dilemma. With early profitability secured and ambitious growth plans underway, we're seeking multiple Founding Machine Learning Engineers to play a pivotal role in shaping our core product and making a significant impact on the ML/AI landscape.
This is an opportunity to:
- Be a foundational member of our engineering team: Directly influence our technology roadmap and engineering culture.
- Own and build impactful products: Enjoy high autonomy in designing, developing, and deploying cutting-edge ML/AI solutions.
- Work with cutting-edge technology: Dive deep into Vision Language Models and other advanced techniques to achieve unprecedented document parsing accuracy.
- Collaborate directly with leadership and clients: Your insights will directly shape product direction and engineering strategies.
- Make a real difference: Contribute to a product already adopted by hundreds of companies, with the potential to become a future market leader in the ML/AI space.
- Thrive in a dynamic and fun agile environment: Be part of a collaborative team where innovation and individual contributions are highly valued.
What you'll be doing:
- Spearhead Data Preparation: Lead the charge in data pre-processing, rigorous feature engineering, and the creation of high-quality datasets for model training and evaluation.
- Architect for Scale: Collaborate closely on the overall AI system architecture, ensuring its long-term scalability, efficiency, and unwavering reliability.
- Innovate with Vision Language Models: Develop and refine state-of-the-art Vision Language Models to dramatically improve document parsing accuracy and enhance core product capabilities.
- Build Robust ML Pipelines: Design, implement, and maintain efficient and scalable ML pipelines from data ingestion to model deployment.
- Productionize with Confidence: Take ownership of deploying and monitoring ML models in production, ensuring optimal performance and stability.
- Collaborate and Influence: Work directly with founders and engage with early clients to deeply understand their needs and contribute directly to product evolution and engineering strategies.
What you'll bring to the table:
- Proven ML Expertise: 1-5 years of hands-on experience as a Machine Learning Engineer, successfully implementing ML systems for high-stakes domains (e.g., Health, Finance, Government).
- Strong Technical Foundation: Deep proficiency in Python and key AI/ML libraries such as TensorFlow, PyTorch, and Hugging Face Transformers.
- Model Training Prowess: Demonstrated experience in training a variety of ML models and building end-to-end ML pipelines.
- Vision Language Acumen: Solid experience working with Visual Language models and Computer Vision techniques, with a strong preference for candidates with experience in Document Processing or OCR.
- Production-Ready Mindset: Experience in the full lifecycle of productionizing ML models, including deployment, monitoring, and maintenance.
- Intellectual Curiosity: A strong academic background in Machine Learning, Artificial Intelligence, or Computer Science, coupled with demonstrable passion and an active interest in the field.
Ready to be a foundational member of a company poised for significant growth and impact in the enterprise unstructured data solutions space? Apply now and let's build the future together!
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