Machine Learning Manager @ ArteraAI

INACTIVE

Full-Time

Machine Learning Manager

Posted on 11/9/2023

ArteraAI

11-50 employees

AI-enabled tests for prostate cancer prognosis

Mid

Remote in USA

Required Skills

Tensorflow

Data Structures & Algorithms

Pytorch

Computer Vision

Requirements

3+ years of industry experience using PyTorch or TensorFlow
2+ years of experience as a people manager
Previous Startup Experience (Strongly Preferred)
Experience launching and maintaining products in a production environment
Experience communicating technical (ML) details to a cross-functional team of non-technical collaborators

Responsibilities

Leading the technical effort of developing novel biomarkers alongside fellow ML scientists, engineers, biostatisticians, and scientific directors
Managing a distributed team of machine learning engineers, ensuring their success and continued growth
Design and develop innovative computer vision models that predict patient outcomes and responses to therapy
Aid in the productionalization, launch, and monitoring of machine learning products
Research and development of machine learning algorithms that expand product capabilities
Contribute to and drive publications in scientific journals and machine learning conferences

About Us: Artera is an AI startup that develops medical artificial intelligence tests to personalize therapy for cancer patients. Artera is on a mission to personalize medical decisions for patients and physicians on a global scale.

As a Machine Learning Manager at Artera, you will lead a team of machine learning practitioners to develop AI-based biomarkers to support the personalization of cancer therapy. Using digital imagery and clinical data you and your team will design multi-modal computer vision and deep learning models that can prognosticate patient outcomes and predict response to therapy.

Essential Responsibilities:

Leading the technical effort of developing novel biomarkers alongside fellow ML scientists, engineers, biostatisticians, and scientific directors
Managing a distributed team of machine learning engineers, ensuring their success and continued growth
Design and develop innovative computer vision models that predict patient outcomes and responses to therapy
Aid in the productionalization, launch, and monitoring of machine learning products
Research and development of machine learning algorithms that expand product capabilities
Contribute to and drive publications in scientific journals and machine learning conferences

Experience Requirements:

3+ years of industry experience using PyTorch or TensorFlow
2+ years of experience as a people manager
Previous Startup Experience (Strongly Preferred)
Experience launching and maintaining products in a production environment
Experience communicating technical (ML) details to a cross-functional team of non-technical collaborators.

Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to develop new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information gender identity or expression, sexual orientation, marital status, protected veteran status, or any other legally protected characteristic.

ArteraAI

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Website

View Company Profile

ArteraAI specializes in leveraging multimodal artificial intelligence models to analyze digital pathology images and clinical data, aiming to optimize treatment for prostate cancer. This company stands out as a not only a collaborator in the healthcare sector, helping strengthen the bond between clinicians and their patients through shared decision-making, but also as a pioneer in deploying rigorous data analysis from multiple Phase III clinical trials. Their commitment to tailored healthcare solutions positions them as a leader in medical AI applications, making it an inspiring workplace for those passionate about innovative healthcare technologies and patient-centered care.

Company Stage

Series C

Total Funding

$110M

Headquarters

Los Altos, California

Founded

2021

Growth & Insights

Headcount

6 month growth

↓ -3%

1 year growth

↑ 0%

2 year growth

↑ 21%

INACTIVE