Senior Machine Learning Engineer - San Francisco, CA, United States - Evisort
Description
San Francisco, CA or Remote US/CanadaData Science/AI/ML – Data Science /Full-time /RemoteOur mission is to change the way business deals get done.
In an industry plagued by inefficient and ineffective contract management systems, we provide a solution that accelerates, scales, and protects the business, enabling contract professionals to become their company's superhero.
We create cutting-edge AI technology that makes contracts searchable and simplifies deal-making processes to supercharge business while helping to reduce costs and manage risk.
We automate manual work, facilitate collaboration, and streamline operations so businesses can make better decisions.By reimagining legal documents, we take the stress out of contract management, empowering brilliant people to do their best work while fueling exponential growth.
Evisort is a leading innovator in the field of AI, specializing in the development and applications of NLP and Large Language Models (LLMs).
We are at the forefront of research and development in AI, striving to push the boundaries of what is possible in natural language processing and machine learning.
Evisort's Data Science team is at the core of its business.We are seeking a Senior Machine Learning Engineer to join our team and help with scaling our AI-powered product, which is revolutionizing how organizations process their legal data and operate around it.
What You'll Do:
Design and build large-scale data pipelines for LLM and ML model training and applicationsImplement accurate and scalable LLM evaluation pipelines for model accuracy, cost and performance Collaborate closely with software and product teams to design, build, integrate and deliver LLM and ML modelsPartner with product engineering teams and infrastructure engineers on model lifecycle management, deployment strategy and CICD workflowSkills/Qualifications:3+ experience withMLOps and Deep Learning systems deployment; NLP application is a plusAbility to design efficient ML systemsProficiency in Python, deep learning frameworks (e.g., Tensorflow, PyTorch); and LLM frameworks (e.g., Langchain, LlamaIndex, etc)Experience using distributed processing architecture and ML/ Data platform (e.g., AWS Sagemaker, Databricks, Spark, Kubeflow, etc); Ability and motivation to stay up to date with emerging technologies in GenAI/LLM field and NLP spaceA strong team player but still a self-starter who thrives in a fast-paced, high-growth startup environmentSomeone who flourishes when given responsibility and a sense of ownershipMS degree or higher from an accredited universityEvisort is an E-verify employer.
Your eligibility to work in the United States will be verified through the E-verify system if you apply and are selected for a position in the United States.