Machine Learning Engineer - AI Startup
We are currently partnered with an AI startup who are building an innovative product to revolutionize the Financial Services space through the application of Large Language Models (LLMs). We are looking for an experienced Machine Learning Engineer who both has prior experience, and would be confident, leading projects in a fast-paced (often unpredictable) early-stage startup environment.
We are looking for individuals who can be involved across both Research & Production for this role, and ideally someone who comes from a strong commercial Software Engineering background. Any experience/exposure to Financial Services would be an added bonus, particularly developing products for the Investment space.
A few key responsibilities will include:
- Researching, designing & implementing ML models, with a major focus on LLMs
- Experimenting with and finetuning LLM architectures to create novel, human-like text and content generation algorithms.
- Model training, optimization, and deployment, ensuring scalability and real-time performance.
- Staying at the forefront of the AI field, continuously researching and adopting the latest advancements to improve our models.
Requirements:
- PhD/MS in Computer Science, Machine Learning, NLP or a related field
- Proven experience in ML & DL, with a focus on LLMs, GPT-3.5, or similar models.
- Proficiency in Python & deep learning libraries (TensorFlow, PyTorch).
- Strong understanding of NLP, generative models, and neural network architectures.
- Experience with cloud-based tech, distributed computing, and model deployment.
- Passion for generative AI and a willingness to explore creative, unconventional approaches.
Please apply ASAP for more detailed info.
We cannot offer sponsorship for this position.