Machine Vision Engineer

About Ramona

High-throughput optical microscopy is transforming the science of modern biology — from genetics to drug discovery to synthetic biology. It is rapidly improving efficiency and opening up new possibilities across a wide range of applications.

But scientists today are fundamentally constrained by the limited perspective of traditional microscopes. As field-of-view increases, resolution decreases. Yet modern biology requires an ability to capture precise data across larger areas and at multiple points in time to understand dynamic systems and reduce costs by accelerating tedious workflows.

At Ramona, we've reimagined microscopy for the modern researcher. Our Multi-Camera Array Microscope (MCAM™) is the first of its kind to offer video-speed capture of cellular detail across an entire well plate. By equipping scientists with unprecedented speed, precision, and insight, we’re on a mission to advance human health and insight through computational microscopy. 

Our foundation is built upon five guiding principles:

1. We empower exploration by embracing challenges and nurturing curiosity.

2. We pursue understanding to deliver solutions that are transformative and elegantly simple.

3. We drive innovation, seeking novel approaches to anticipate the challenges of cutting-edge research.

4. We trust in accountability, maintaining transparency and ownership in all we do.

5. We thrive on collaboration, valuing diverse perspectives to achieve shared goals.

Our startup environment is fast-paced and constantly evolving. Success here is driven by a willingness to embrace new challenges and make a tangible impact on our overall success. Our team members thrive on the edge of innovation, wearing multiple hats and coming up with creative solutions to drive growth. For those who excel in dynamic, ever-changing environments and are ready to contribute wherever needed, Ramona offers numerous opportunities for professional growth. However, if you prefer a more structured or predictable work environment, Ramona's fast-paced environment might not be the best fit. We’re looking for team members who are eager to push boundaries and shape the future of microscopy and scientific research.

Role Summary

We are looking for a machine vision engineer to help build and scale our computational microscopy platform, developing models and systems that transform large-scale imaging data into actionable biological insight. You will work at the intersection of machine learning, software engineering, and scientific research to bring state-of-the-art models into reliable, production-ready pipelines. In this role, you will design, train, deploy, and maintain machine learning systems that support tasks such as cell segmentation, tracking, phenotyping, and image-based analysis at scale We are looking for an engineer who enjoys taking ML models from research to production and building the infrastructure that makes them robust, reproducible, and performant.

Key Responsibilities

* Design, train, and deploy machine learning models for microscopy and image-based biological data.

* Build scalable ML pipelines for data preprocessing, training, evaluation, and inference.

* Optimize model performance and throughput on modern hardware, including GPUs and multi-core CPUs.

* Collaborate with scientists and engineers to translate research prototypes into production systems.

* Integrate ML models into backend services, APIs, and data processing workflows.

* Monitor, benchmark, and improve model accuracy, robustness, and computational efficiency over time.

* Contribute to data representation, storage, and versioning strategies for large imaging datasets.

* Document model architectures, training procedures, and deployment workflows for internal and external use.

* Evaluate and adopt emerging ML techniques to improve scalability, accuracy, and interpretability.

Qualifications

Required:

* Bachelor’s or Master’s degree in Computer Science, Machine Learning, Electrical Engineering, or a related field (or equivalent experience).

* 2+ years of experience

* Strong proficiency in Python and experience with machine learning frameworks such as PyTorch, TensorFlow, ONNX, and TensorRT.

* Hands-on experience building and deploying ML models in production environments.

* Experience working with image-based or high-dimensional data; microscopy or medical imaging experience is a strong plus.

* Familiarity with model optimization techniques, including batching, quantization, or mixed-precision training.

* Experience with ML infrastructure, including experiment tracking, model versioning, and reproducible training workflows.

* Familiarity with cloud platforms and scalable compute environments (e.g., AWS, GCP, or Azure).

* Strong problem-solving skills, attention to detail, and scientific curiosity.

* Ability to communicate clearly and collaborate across disciplines.

* Experience with computer vision, segmentation, tracking, or representation learning.

Preferred:

* Master’s or Ph.D degree

* 5+ years of experience

Why You’ll Love Working Here

* Competitive salary and benefits, including equity options.

* Opportunity to work in a fast-paced, innovative environment.

* Exposure to various facets of business operations in a growing start-up.

* Professional development opportunities in a supportive setting.

* Access to cutting edge technology.

Interested? Attach your resume and cover letter in a single document with brief answers to the following questions:

1. What is your experience with machine learning?

2. What is a project you have worked on outside of your academic studies and what excites you about it?

3. What skills do you hope to develop in working as a machine learning engineer at Ramona?