Machine Learning Performance 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 decisions for patients and physicians on a global scale.
As a Machine Learning Engineer at Artera, youll work on the AI Platform team with a focus on computational performance. Youll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. Youll ensure that Arteras model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.
Essential Responsibilities:
Build and own tools and libraries that accelerate Arteras ability to develop, launch, and monitor AI products.
Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.
Optimize Arteras ability to store terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.
Ensure that Arteras observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.
Experience Requirements:
5+ years of industry software engineering experience
3+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python
2+ years of industry experience building with AWS, Docker, and Kubernetes
1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines
Desired:
Experience using Terraform, SqlAlchemy
Experience using ML orchestration frameworks such as Ray, Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or Prefect
Experience deploying and maintaining infrastructure for machine learning training and production inference
Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization
$140,000 - $200,000 a year
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.
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.
Apply Now
As a Machine Learning Engineer at Artera, youll work on the AI Platform team with a focus on computational performance. Youll work closely with AI model developers, fellow machine learning engineers, and our platform engineering team. Youll ensure that Arteras model developers can rely on highly efficient, large-scale training regimes and deploy optimized models to production environments.
Essential Responsibilities:
Build and own tools and libraries that accelerate Arteras ability to develop, launch, and monitor AI products.
Work with model developers to optimize GPU and CPU efficiency and data throughput of large-scale foundation models and downstream model training runs.
Optimize Arteras ability to store terabytes of digital pathology data efficiently for the use in serving large-scale training regimes.
Ensure that Arteras observability infrastructure provides a clear picture of how to continue to optimize performance across our model landscape.
Experience Requirements:
5+ years of industry software engineering experience
3+ years of industry experience using one of PyTorch, TensorFlow, or JAX in Python
2+ years of industry experience building with AWS, Docker, and Kubernetes
1+ years of industry experience optimizing large-scale, high data-throughput, distributed machine learning training pipelines
Desired:
Experience using Terraform, SqlAlchemy
Experience using ML orchestration frameworks such as Ray, Kubeflow, Metaflow, MLFlow, Flyte, Dagster, Argo Workflow or Prefect
Experience deploying and maintaining infrastructure for machine learning training and production inference
Familiarity with TorchScript, ONNXRuntime, DeepSpeed, AWS Neuron or similar approaches to inference optimization
$140,000 - $200,000 a year
In addition to base salary, equity is a core component of our compensation. We also offer 401k matching, unlimited paid time off (PTO), and more.
The base salary is competitive and commensurate with experience, qualifications, and other factors to be discussed during the interview process.
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.
Apply Now