Job Overview

senior software engineer, machine learning

about the role

our client is seeking a senior software engineer, machine learning, who is a smart, creative, and curious analytical thinker with a passion for working hands-on with big data. our clients are on a mission to empower healthcare through the measurement and prediction of patient outcomes. the team focuses on extracting critical clinical information from unstructured data, such as clinical notes. by joining the team, you will play an essential role in unlocking valuable insights for analytical studies and cohort analyses.

the team is responsible for maintaining and evolving multiple big data pipelines designed to extract clinical outputs from medical notes efficiently. we value an experimental mindset that embraces failing fast, iterating quickly to refine solutions, and recognizing the right balance between generalization and specificity to avoid premature optimization.

what you'll do

build, maintain, and deploy efficient pipelines to process large amounts of unstructured data

craft scalable software and tools using software engineering practices

use llm-based models to extract actionable clinical information

translate research project requirements into data specifications

collaborate openly with software engineers, product managers, and clinical teams to deliver high-quality data and software

regularly share progress, including setbacks, with your teammates to foster open communication.

recognize when solutions and systems should be generalized and when it is prudent to focus on specific needs, avoiding premature optimization

what experience you'll bring

5-8 years of experience

expertise in python and sql

experience working with large-scale healthcare data

hands-on experience with applying and deploying machine learning models

strong desire to enhance and optimize processes

deep curiosity

desire to make processes better and more efficient

extreme comfort clarifying and pushing back against requirements

excellent communication skills, both verbal and written, for technical and non-technical audiences

strong commitment to high-quality data and code

what's nice to have

experience with dbt

hands-on experience with large language models (llms)

experience with llm apis and ecosystems

e.g., openai api, langchain

if you're excited about this role but your past experience doesn't align perfectly with every qualification, we encourage you to apply anyway. you may be just the right candidate for this or other roles.

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