Latham & Watkins is looking to enhance legal and business processes by designing, deploying, and optimizing custom workflows using classical machine learning (ML), Natural Language Processing (NLP), and Generative AI techniques.
Requirements
- Demonstrate proficiency with Python including experience with libraries and frameworks relevant to GenAI application development (e.g., LangChain)
- Exhibit proficiency with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn), and serving tools (e.g., TorchServe, ONNX, Triton)
- Display proficiency in training or fine-tuning language models (e.g., BERT, Llama2, GPT), and their optimization (LoRA, knowledge distillation, pruning, and quantization)
Responsibilities
- Contributing to the entire lifecycle of AI/ML applications including concept, design, test, release, and support
- Developing and maintaining robust ML pipelines for training, validation, and model deployment
- Working with DevOps or infrastructure teams to manage GPU resources, model serving frameworks, and CI/CD workflows
- Evaluating and integrating new research, tools, and frameworks to advance the team’s capabilities
- Developing ML/GenAI solutions in a professional manner, and in accordance with established deliverable schedules and firm procedures
- Protecting and maintaining any highly sensitive, confidential, privileged, financial, and/or proprietary information that Latham & Watkins retains
Other
- A bachelor’s degree and master’s degree in information systems, computer science, engineering, data science, or a related field, preferably
- A minimum of five (5) years of experience in industry roles focused on machine learning, applied AI, or data science
- A minimum of five (5) years of Python industry experience
- A minimum of three (3) years of experience working with agile teams
- Experience building and productizing ML models and systems
