Fidelity Labs is looking to build Large Language Models (LLMs) powered applications for financial services, applying cutting-edge Agentic AI technologies to create new products from ideation to deployment.
Requirements
- Expert knowledge of Deep Learning frameworks such PyTorch, Jax, TensorFlow
- Hands-on experience in LLM post training, alignment, fine tuning, and/or deployment a big plus
- Solid skills of algorithms, data structure, system architecture, and software engineering
- Highly proficient in Python. Familiarity with C++ and CUDA a plus
- Experience with model serving frameworks highly desirable
- Experience with large scale distributed ML systems
- Performance analysis and optimization experience
- In-depth understanding of LLMOps
Responsibilities
- build Large Language Models (LLMs) powered applications for financial services
- apply cutting edge Agentic AI technologies to build exciting new products, from ideation to deployment
- Expert knowledge of Deep Learning frameworks such PyTorch, Jax, TensorFlow
- Hands-on experience in LLM post training, alignment, fine tuning, and/or deployment
- Solid skills of algorithms, data structure, system architecture, and software engineering
- Highly proficient in Python. Familiarity with C++ and CUDA
- Experience with model serving frameworks
Other
- Master's degree in computer science, Engineering, or similar technical field
- 5+ years relevant experience, ideally in financial industry
- Knowledge and passion about stocks, market, trading, and investment
- A pragmatic approach to problem solving
- Mindset of a builder
