LawZero
MLDeveloperIntern(AppliedResearch)
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“ML Developer Intern (Applied Research) at LawZero. Skills: Applied machine learning, Model training, Inference, ML model development workflows, Production-grade tools and solutions. Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications. Design and implement workflows for research experiments across simulated environments and real-world applications.”
What You'll Achieve.
Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero’s future solutions offerings).
What They're Looking For.
Must Have
A degree in a relevant computer science field (e. g. , computer science, computer engineering, software engineering), an advanced degree (MSc or higher) in machine learning or equivalent work experience
Nice to Have
Workload managers (e. g. , Ray, SLURM), Industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX., Experience building new ML products from scratch, or based on research prototypes., Experience working alongside researchers.
What You'll Do.
Accelerate applied research
model training and inference
and iterate on implementing models for real-world applications
Design and implement workflows for research experiments across simulated environments and real-world applications.
and libraries to adapt
and evaluate models in the context of real-world applications.
and maintain best practices for ML model development workflows.
Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions.
Deeply understand customer use-cases to inform training strategies and surface edge cases.
How You'll Work.
Team & Collaboration
Work closely with ML research scientists, product stakeholders and domain experts; Collaborate effectively with cross-functional teams
Full Job Description
We are seeking interns in applied machine learning (ML) to join our team working on using the Scientist AI in real-world applications. In this role, you will work closely with ML research scientists, product stakeholders and domain experts to start applying the Scientist AI to domain-specific problems. Key responsibilities Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero’s future solutions offerings). Design and implement workflows for research experiments across simulated environments and real-world applications. Develop datasets, tooling, dashboards, and libraries to adapt, monitor, interpret, and evaluate models in the context of real-world applications. Establish, document, and maintain best practices for ML model development workflows. Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions. Deeply understand customer use-cases to inform training strategies and surface edge cases. Skills and qualifications: A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience. Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes). Familiarity with data infrastructures and platforms (e.g., vector databases). Nice to have: Familiarity with workload managers (e.g., Ray, SLURM) Industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX. Experience building new ML products from scratch, or based on research prototypes. Experience w
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