Machine Learning Engineer
San Francisco, CA (On-site)
Description
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!
We are looking for a full-time Machine Learning Engineer to join our in-person team in our office in SoMa in SF.
Responsibilities
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 on board 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
Master’s degree or foreign degree equivalent in Computer Science, Engineering, Mathematics, or a closely related field
Knowledge of the following is also required: Python, PyTorch, TensorFlow or similar machine learning frameworks.
For this role, the salary is $156,000.
Benefits
Competitive salary and equity package
Comprehensive health, dental, and vision benefits
Professional development opportunities
Dynamic and inclusive work culture with a focus on innovation and collaboration
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Palo Alto Networks seeks a Principal Software Engineer to architect and implement cloud-native, high-scale security solutions and lead cross-functional delivery for next-generation firewall and security-as-a-service offerings.
Senior Full-Stack Developer needed to lead development of a large-scale Angular frontend and ExpressJS backend for a mission-driven impact intelligence platform.
Zapier is hiring a Senior Software Engineer to architect and build a first-generation SDK and supporting platform that enables internal and external developers to create and scale automations.
Blue Origin is hiring a Summer 2026 Avionics Software Intern in Seattle to contribute to real-time embedded flight software, tests, and tools for launch and space systems.
Lead the design and development of Sentry’s iOS SDK to deliver scalable, high‑quality mobile monitoring features used by developers worldwide.
Senior Backend Engineer to lead backend development for Whatnot's Customer Experience platform, building scalable systems and AI-driven automations to resolve high-volume marketplace support needs.
Grindr is hiring a Staff Backend Engineer to lead design and delivery of scalable microservices powering millions of users in a hybrid Palo Alto/Chicago role.
Build and own the Rust-first backend services and real-time control plane for Profound's workflow runner to orchestrate agents, tools, and dataflows at scale.
Fandango seeks a Staff Software Engineer to lead development and optimization of cross-platform video player SDKs and media playback solutions for large-scale consumer experiences.
Patreon's Membership Monetization team is hiring a Fullstack Engineer to build and iterate on monetization features using React/TypeScript on the frontend and Python/MySQL on the backend.
Work remotely as a Mid Full Stack Developer for Intelligent Waves, building scalable front-end and back-end solutions that support mission-driven, real-world operations.
Lead development of high-impact frontend experiences that connect Slack and Salesforce, using TypeScript, React, and strong UX sensibilities to shape the future of enterprise collaboration.
Kastle is seeking a Founding Engineer to design and scale backend and LLM-driven systems powering an AI OS for consumer lending with emphasis on low-latency, high-availability production deployments.
🔮
Hi, I'm Risa! Your AI Career Copilot
you, just ask me below!
