6 hours ago

NLP Scientist

Machinify

Hybrid
Full Time
$200,000
Hybrid

Job Overview

Job TitleNLP Scientist
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$200,000
LocationHybrid

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Job Description

NLP Scientist at Machinify

Machinify is a leading healthcare intelligence company with expertise across the payment continuum, delivering unmatched value, transparency, and efficiency to health plan clients across the country. Deployed by over 85 health plans, including many of the top 20, and representing more than 270 million lives, Machinify brings together a fully configurable and content-rich, AI-powered platform along with best-in-class expertise. We’re constantly reimagining what’s possible in our industry, creating disruptively simple, powerfully clear ways to maximize financial outcomes and drive down healthcare costs.

At Machinify, we're building state-of-the-art Visual Question Answering (VQA) systems for medical records using cutting-edge techniques in Natural Language Processing (NLP) and Computer Vision (CV). Our mission is to achieve human-expert level accuracy in medical document analysis — a highly challenging problem where traditional approaches, like vanilla Retrieval-Augmented Generation (RAG), fall short. While we've made significant strides, we're looking for an applied scientist to help us tackle the remaining core features and scale our models.

The Role of an NLP Scientist

We are seeking an applied scientist with a passion for solving real-world problems and expertise in NLP and/or CV to push the boundaries of AI-driven healthcare solutions.

Key Responsibilities

  • Solve complex problems in medical document understanding and question-answering using modern NLP and vision methodologies.
  • Make data-driven decisions on algorithms and techniques tailored to specific business challenges.
  • Work with limited and noisy labeled data, bootstrapping and iterating to improve model output in practical, real-world settings.
  • Continuously evaluate and optimize models for scalability and performance in production environments.
  • Learn the intricacies of the healthcare domain and evolve into an industry expert over time.

What We're Looking For

  • Expertise in NLP and/or Computer Vision: You stay up to date with the latest research and developments in these fast-evolving fields.
  • Strong Software Engineering Skills: You write clean, production-quality code and are comfortable building scalable solutions.

What Machinify Offers

  • Work from anywhere in the US! Machinify is digital-first.
  • Top Medical/Dental/Vision offerings
  • FSA/HSA
  • Tuition reimbursement
  • Competitive salary, 401(k) with company match
  • Unlimited PTO
  • Additional health and wellness benefits and perks
  • Flexible and trusting environment where you’ll feel empowered to do your best work

Key skills/competency

  • Natural Language Processing (NLP)
  • Computer Vision (CV)
  • Visual Question Answering (VQA)
  • Medical Document Analysis
  • Machine Learning
  • Deep Learning
  • Model Optimization
  • Scalable Systems
  • Data-Driven Decision Making
  • Software Engineering

Tags:

NLP Scientist
natural language processing
computer vision
visual question answering
medical document analysis
model optimization
data-driven decisions
machine learning
deep learning
AI
healthcare intelligence
Python
PyTorch
TensorFlow
scikit-learn
cloud platforms
MLOps
SQL
Git

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How to Get Hired at Machinify

  • Research Machinify's mission: Study their commitment to healthcare intelligence, payment continuum expertise, and AI-powered platform.
  • Tailor your resume: Highlight specific experience in NLP, Computer Vision, Visual Question Answering, and medical data analysis.
  • Showcase problem-solving skills: Prepare to discuss how you've tackled complex challenges, especially with limited or noisy datasets.
  • Demonstrate software engineering prowess: Be ready to illustrate your ability to write clean, production-quality, scalable code.
  • Express domain interest: Convey a genuine eagerness to learn healthcare intricacies and become an industry expert.

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