Machine Learning Engineer

About the role

At Bunkerhill, we are laser focused on helping researchers bring their algorithms to the clinic. To that end, we have launched a new initiative: to build a foundation model for medical imaging!

Today, when a researcher is interested in building an algorithm, they typically need to start from scratch (or use models pretrained on ImageNet) and train on a large quantity of data. To make this process faster and to lower the barrier to entry, we're building a foundation model that researchers can fine tune to build clinically-useful downstream algorithms.

The goal of this initiative is to enable researchers within the consortium to build robust, generalizable algorithms using much less data and then use the Bunkerhill Consortium to validate their algorithm, obtain regulatory clearance, and distribute it for clinical use!

Responsibilities include

• Design, develop, and deploy machine learning algorithms and models, with a focus on Deep Learning and Computer Vision techniques.

• Define and operate batch processing pipelines.

• Create and maintain user documentation to help researchers onboard their AI models.

• Develop large deep learning models with self-supervised learning on multimodal data.

• Communicate findings to other engineers, operators, and leadership.

• Collaborate with cross-functional teams to understand project requirements and translate them into technical solutions.

• Conduct research to stay abreast of the latest advancements in machine learning, deep learning, and computer vision.

• Optimize algorithms for performance, scalability, and efficiency, considering real-world deployment constraints.

• Evaluate and validate models using appropriate metrics and datasets, ensuring robustness and reliability.

• Mentor junior team members and contribute to knowledge sharing within the organization.

Requirements

• Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field.

• 3+ years of work professional work experience in a fast-paced, high-growth environment.

• Experience in developing machine learning solutions, with a focus on Deep Learning and Computer Vision.

• Experience with Python, PyTorch, TensorFlow or similar frameworks for machine learning. to train deep learning models with supervised learning.

• Experience with cloud platforms (e.g. AWS, GCP, Azure).

• Experience with infrastructure-as-code tools (e.g. Terraform, CloudFormation, Pulumi) and CI/CD tooling (e.g. GitHub Actions, GitLab CI, Circle CI, Jenkins) is a plus.

Benefits

• Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Bunkerhill Health also include + equity + benefits (including medical, dental, vision, commuter and 401(k)).

• Hybrid work schedule (3 days in office)

• Professional development opportunities

• Dynamic and inclusive work culture with a focus on innovation and collaboration