Senior Machine Learning Engineer (Model Dev)

North America

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Biotechnology, Healthcare, AI & Machine LearningIndustries

Requirements

Candidates should have 5+ years of industry experience using PyTorch or TensorFlow and at least 2 years of experience as a technical lead launching and monitoring machine learning products in production environments. Proven ability to communicate complex ML concepts effectively to cross-functional, non-ML collaborators is required. Desired qualifications include a track record of research contributions with peer-reviewed publications and conference presentations, a history of external academic or industry collaborations, and experience with self-supervised representation learning.

Responsibilities

The Senior Machine Learning Engineer will lead the technical effort and define the strategic vision for developing novel biomarkers in collaboration with product, clinical development, and biostatistics teams. They will design and build AI-based biomarkers on multimodal data, architect and implement tools for the end-to-end model development lifecycle, and develop and integrate mechanistic interpretability methods. The role also involves driving publications, contributing to conference presentations, and mentoring a team of machine learning scientists and engineers.

Skills

PyTorch

TensorFlow

Machine Learning

Data Processing

Model Training

Model Development

Production Deployment

Biomarkers

Multimodal Data

Whole-Slide Images

Interpretability Methods

Technical Leadership

Artera

SaaS digital health messaging integration platform

About Artera

Artera is a compelling workplace due to its critical role in improving healthcare communication, orchestrating over 2.2 billion messages annually across diverse channels like texting, email, and webchat. The company not only facilitates efficient healthcare staff operations and profitability for organizations but also enhances overall patient experience by supporting services in over 109 languages. This broad impact in healthcare through high-level integration with EHRs and third-party vendors positions Artera as a leader in the digital health sector.

Santa Barbara, CaliforniaHeadquarters

2015Year Founded

$148.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

201-500Employees