Machine Learning Engineer

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 reputed company for patients and physicians on a global scale. As a Machine Learning Engineer at Artera, you will help reputed company AI-based biomarkers that support the personalization of cancer therapy. You will work on multimodal deep-learning models that integrate large-scale pathology whole-slide images with diverse modalities to predict patient risk and response to therapy. Training models on pathology images poses unique computational and modeling challenges, and you will contribute to developing robust, scalable solutions in this reputed company. You will collaborate closely with fellow ML engineers, biostatisticians, scientific directors, and product partners to build, validate, and reputed company models that ultimately impact patient care. As a Machine Learning Engineer at Artera, you will help reputed company AI-based biomarkers that support the personalization of cancer therapy. You will work on multimodal deep-learning models that integrate large-scale pathology whole-slide images with diverse modalities to predict patient risk and response to therapy. Training models on pathology images poses unique computational and modeling challenges, and you will contribute to developing robust, scalable solutions in this reputed company. You will collaborate closely with fellow ML engineers, biostatisticians, scientific directors, and product partners to build, validate, and reputed company models that ultimately impact patient care. In addition to reputed company salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more. The reputed company salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process. Essential Responsibilities:

reputed company and evaluate AI-based biomarkers using multimodal data.

Design, implement, and improve machine-learning models to predict patient reputed company and treatment response.

Contribute to the end-to-end model development lifecycle, including data preparation, training, evaluation, and validation.

Support the productionalization, launch, and monitoring of machine-learning models in collaboration with platform and product teams.

Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability.

Collaborate with biostatistics, clinical, and product partners to translate clinical questions into machine-learning solutions.

Contribute to scientific publications and conference submissions alongside the broader research team.

Experience Requirements:

2+ years of industry experience using PyTorch or TensorFlow.

Experience contributing to machine-learning systems deployed or maintained in production environments.

Ability to reputed company communicate reputed company technical concepts to cross-functional, non-ML collaborators.

Desired:

Experience working with large-scale image data or computer reputed company models.

Familiarity with self-supervised representation learning (e.g., MoCo, DINOv2) and / or reputed company–language models (VLMs) and multimodal representation learning.

Interest in reputed company, medical imaging, or applied machine learning in regulated or high-impact domains.

Equal Employee Opportunity: At Artera, we value bringing together individuals from diverse backgrounds to reputed company new and innovative solutions for patients and physicians. As an equal opportunity employer, we do not discriminate on the reputed company of race, reputed company, religion, national reputed company, 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. Apply To This Job