ML Engineer

Job not on LinkedIn

February 11

Apply Now
Logo of HOPPR

HOPPR

Artificial Intelligence • Healthcare Insurance • Pharmaceuticals

HOPPR is a company that provides a generative AI platform designed to transform medical imaging. The company offers a comprehensive generative AI model infrastructure to accelerate AI development for medical imaging across various modalities. HOPPR simplifies AI development with its foundational infrastructure, ensuring secure data handling and seamless model fine-tuning. It prioritizes privacy and data security, providing diverse datasets across different modalities, anatomies, demographics, and geographies. HOPPR aims to expedite development by offering a scalable, high-performance GPU environment, enabling faster prototyping and scalable applications for research and medical imaging services.

📋 Description

• Join HOPPR as a Machine Learning Engineer and play a pivotal role in shaping the future of multimodal AI in medicine. • Collaborate with researchers, engineers, and clinicians to design and deploy scalable machine learning solutions trained over vast amounts of data. • You’ll build shared ML infrastructure, optimize models for production, and integrate them into enterprise-grade products, delivering innovations that transform patient care.

🎯 Requirements

• Master’s or PhD in Computer Science, Engineering, or a related field with 3+ years' experience in relevant roles. • Proficiency in Python and machine learning frameworks such as PyTorch or TensorFlow. • Strong understanding of MLOps practices, including model deployment, CI/CD pipelines, and performance monitoring. • Experience working with cloud platforms (e.g., AWS, GCP, Azure) and tools like Docker, Kubernetes, or Terraform. • Knowledge of data engineering principles, including data manipulation tools like SQL and pandas. • Familiarity with healthcare data and clinical workflows is a plus. • Exceptional problem-solving skills, ownership mindset, and a collaborative approach.

🏖️ Benefits

• Competitive base salary + equity. • A key role in a fast-growing startup with immense potential. • Generous benefits: medical/dental/vision, 401k, PTO, and parental leave. • Remote first with hybrid options available at our NYC and SF Bay Area offices. • An innovative, collaborative, and supportive work environment. • Incredible teammates who inspire growth and learning.

Apply Now

Similar Jobs

February 10

Join Netflix's Ads team to develop ML solutions for real-time ad systems and inventory management.

Spark

February 8

Tiger Analytics seeks a Machine Learning Engineer to enhance AI solutions for Fortune 500 clients.

Airflow

Apache

AWS

Cloud

Docker

Flask

Hadoop

Keras

Kubernetes

Numpy

Oracle

Pandas

Python

Scikit-Learn

Spark

Tensorflow

Terraform

February 8

Join our team as a Machine Learning Engineer to build AI solutions that impact the nonprofit sector.

AWS

Hadoop

Kafka

NoSQL

Pandas

Python

PyTorch

Scikit-Learn

Spark

SQL

Tensorflow

February 4

Buzz is seeking a Machine Learning Engineer to drive computer vision initiatives for AI-based power grid infrastructure analysis. Enhance safety and operational efficiency with cutting-edge models.

Python

PyTorch

Scikit-Learn

January 15

Contribute to building AI-driven search products and enhancing search systems at Reddit.

Airflow

BigQuery

GraphQL

GRPC

Kafka

Python

PyTorch

Redis

Tensorflow

Thrift

Go

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com