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
Requirements
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
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)
Benefits
Healthcare, life and disability insurance
A generous 401k plan
At least 11 paid holidays per year, and a PTO program that accrues 23 days during the first year of employment and grows with tenure
Well-being programs (e.g. mental health services, mindfulness and resiliency, medical resources, well-being events, and more)
Professional development programs
Employee discounts
Affinity groups, networks, and coalitions for lawyers and staff
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningapplied AIdata sciencePythonML pipelinesML frameworksGenAI application developmenttraining language modelsmodel optimizationagile methodologies
Soft skills
communicationteam collaborationproblem-solvingtime managementattention to detail