Machine Learning Engineer jobs in United States
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ArteraAI · 2 days ago

Machine Learning Engineer

ArteraAI is an AI startup focused on developing medical artificial intelligence tests to personalize therapy for cancer patients. As a Machine Learning Engineer, you will develop AI-based biomarkers and work on multimodal deep-learning models to predict patient outcomes and treatment responses, collaborating with various teams to build and deploy impactful models.

Artificial Intelligence (AI)BiotechnologyHealth CareLife SciencePrecision Medicine
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H1B Sponsor Likelynote

Responsibilities

Develop and evaluate AI-based biomarkers using multimodal data
Design, implement, and improve machine-learning models to predict patient outcomes 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

Qualification

PyTorchTensorFlowMachine learning modelsLarge-scale image dataComputer vision modelsResearch skillsCommunication skillsCollaboration

Required

2+ years of industry experience using PyTorch or TensorFlow
Experience contributing to machine-learning systems deployed or maintained in production environments
Ability to clearly communicate complex technical concepts to cross-functional, non-ML collaborators
Develop and evaluate AI-based biomarkers using multimodal data
Design, implement, and improve machine-learning models to predict patient outcomes 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

Preferred

Experience working with large-scale image data or computer vision models
Familiarity with self-supervised representation learning (e.g., MoCo, DINOv2) and / or vision–language models (VLMs) and multimodal representation learning
Interest in healthcare, medical imaging, or applied machine learning in regulated or high-impact domains

Benefits

Equity is a core component of our compensation
401k matching
Unlimited paid time off (PTO)

Company

ArteraAI

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Our AI can prognosticate patient outcomes & personalize treatment in localized prostate cancer.

H1B Sponsorship

ArteraAI has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (2)
2023 (7)
2022 (7)
2021 (1)

Funding

Current Stage
Growth Stage
Total Funding
$110M
2024-02-01Series Unknown· $20M
2023-03-21Series Unknown· $90M

Leadership Team

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Peter Wood
Strategic Partnerships
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Company data provided by crunchbase