Jobs at Imagen Technologies

Positions 409,268

Imagen Technologies, founded in 2019 as a spin‑off from MIT’s Computer Science and Artificial Intelligence Laboratory, builds AI‑driven tools that accelerate diagnostic imaging workflows. Its flagship product, ImagenScan, integrates deep‑learning segmentation into MRI and CT pipelines, reducing interpretation time by up to 30% for radiologists worldwide.

The company hires across engineering, data science, product, and clinical research. Software engineers focus on GPU‑accelerated inference engines; data scientists develop explainable models for pathology; product managers shape user‑centric imaging workflows; clinical scientists validate AI outputs in partnership with hospitals. Candidates can expect rigorous technical interviews, collaborative cross‑functional teams, and a rapid‑release cycle.

Job Transparency lists every open role with the exact base salary, bonus structure, and equity range, plus aggregated employee sentiment scores. By reviewing this data, applicants can benchmark their compensation expectations, assess the company’s culture fit, and negotiate offers with confidence.

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Frequently Asked Questions

What is it like to work at Imagen Technologies?
Imagen fosters a culture of scientific curiosity and fast iteration. Engineers routinely collaborate with radiologists on live demos, and the company offers a 20‑hour research stipend for side projects. The office environment blends open‑plan labs with quiet pods, and remote work is supported with a stipend for home‑office equipment.
What types of positions are available at Imagen?
The 219 open roles span Software Engineering (backend, frontend, ML), Data Science, DevOps, Product Management, Clinical Research, Regulatory Affairs, and Sales & Marketing. Each role emphasizes cross‑disciplinary teamwork and a user‑centric development process.
How can I stand out as an applicant?
Showcase hands‑on experience with medical imaging datasets, publish a paper or GitHub repo on deep‑learning segmentation, and include a brief demo of an open‑source model. Tailor your résumé to the job description by highlighting metrics—e.g., reduced inference latency by X% or increased accuracy by Y%—and prepare for a case study interview where you optimize a pipeline for a hospital scenario.

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