ML Researcher

TheCorporate LLC

New York (NY)

On-site

USD 120,000 - 190,000

Full time

13 days ago
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Job summary

TheCorporate LLC is seeking an experienced ML Researcher in New York City to join a healthcare AI startup. You will work with founders and senior engineers to build research environments, evaluation systems, datasets, and tools for next-gen AI models.

You’ll tackle challenging ML problems, translate ideas into working systems, and own research through implementation in a fast-paced, onsite role. Previous startup experience is a plus.

Qualifications

  • 2–7 years of Machine Learning experience, with 4–6 years preferred.
  • Hands-on experience with Reinforcement Learning (RL) and/or Multimodal AI.
  • Experience building or supporting production ML systems.
  • Strong software engineering and programming skills.
  • Ability to explain previous ML/AI work in significant technical depth.
  • Strong problem-solving and analytical skills.
  • High ownership and ability to work independently.
  • Willingness to work onsite in New York City.
  • Startup environment experience desirable.
  • Healthcare AI domain experience is a plus.

Responsibilities

  • Build and improve Reinforcement Learning (RL) environments
  • Develop ML evaluation and benchmarking frameworks
  • Create high-quality datasets and verification systems
  • Develop tools and infrastructure to support AI/ML research
  • Improve AI development and evaluation workflows
  • Work closely with founders and senior engineers on technically challenging projects
  • Conduct experiments and translate research ideas into working systems
  • Help shape new approaches to building and evaluating AI models

Skills

Machine Learning
Reinforcement Learning
Multimodal AI
Deep Learning
Python
PyTorch
TensorFlow
Model Evaluation
Data Visualization
Analytical Thinking

Tools

PyTorch
TensorFlow
JAX
Python
ML Infrastructure

Job description

ML Researcher

Location: New York City, NY

Work Arrangement: Onsite

Experience: 2–7 years, with 4–6 years preferred

Visa Sponsorship: Available

About the Role

We are looking for an experienced ML Researcher to join a well-funded and fast-growing Healthcare AI startup.

You’ll work closely with the founders and senior engineers to build the research environments, evaluation systems, datasets, and tools needed to develop the next generation of AI models.

This is a highly technical role for someone who enjoys solving challenging ML problems, building real systems, and taking ownership from research through implementation.

What You’ll Do
  • Build and improve Reinforcement Learning (RL) environments
  • Develop ML evaluation and benchmarking frameworks
  • Create high-quality datasets and verification systems
  • Develop tools and infrastructure to support AI/ML research
  • Improve AI development and evaluation workflows
  • Work closely with founders and senior engineers on technically challenging projects
  • Conduct experiments and translate research ideas into working systems
  • Help shape new approaches to building and evaluating AI models
What We’re Looking For
  • 2–7 years of Machine Learning experience, with 4–6 years preferred
  • Hands-on experience with Reinforcement Learning (RL) and/or Multimodal AI
  • Experience building or supporting production ML systems
  • Strong software engineering and programming skills
  • Ability to explain previous ML/AI work in significant technical depth
  • Strong problem-solving and analytical skills
  • High ownership and ability to work independently
  • Comfortable working in a fast-paced startup environment
  • Willingness to work onsite in New York City
Key Skills
  • Machine Learning
  • Reinforcement Learning
  • Multimodal AI
  • Deep Learning
  • Python
  • PyTorch / TensorFlow / JAX
  • ML Infrastructure
  • Model Evaluation
  • Dataset Development
  • AI/ML Tooling
  • Generative AI / LLMs
  • Computer Vision or NLP
Nice-to-Have Experience
  • Healthcare AI
  • Clinical or healthcare datasets
  • AI infrastructure
  • ML tooling
  • Startup experience
  • Former founder experience
  • Technical team leadership
  • Research engineering
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