Senior AI Engineer - Expert Research

Summary

Join AlphaSense's Expert Research team as a Senior AI Engineer and build product features using machine learning on proprietary datasets. You will collaborate with product managers and engineers, write production Python code, deploy production microservices, and stay updated on the latest advancements in machine learning. This role involves working with NLP and large language models, leveraging OpenAI APIs and exploring other vendors and open-source models. You will mentor junior ML engineers and influence the architecture and deployment of machine learning code and services. The position requires a Bachelor's degree in a quantitative discipline or equivalent experience, 5 years of experience in a data-intensive or machine learning role (with at least 2 years in an industry role), and demonstrated experience training and deploying machine learning models, preferably with NLP applications. The compensation range is $178,000-$267,000 USD.

Requirements

• Bachelor’s degree in a quantitative discipline or demonstrated experience working on data-intensive problems (Masters or PhD preferred but not at all required)
• 5 years of experience working in a data-intensive or machine learning role, with at least 2 of those years in an industry role
• Demonstrated experience training and deploying machine learning models with a preference towards NLP applications
• Deep experience in the python data and machine learning ecosystem, including experience with pytorch
• Familiarity with docker, python API frameworks like FastAPI, and software engineering best practices
• Practical, iterative, product-focused mindset over slower, methodical, research-minded approach

Responsibilities

• Collaborate with product managers and engineers to prototype, build, and release features in the AlphaSense Platform that leverage the latest advances in machine learning applied to our proprietary dataset of financial text
• Write production python code in our internal machine learning packages and deploy production microservices
• Stay on top of the latest advances in machine learning (and sharing what you learned!)
• Influence how we architect and deploy our machine learning code and services
• Mentor and pair with one or more junior ML engineers

Preferred Qualifications

Previous experience deploying microservices on kubernetes

Benefits

You may also be offered equity, and a generous benefits program