About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Medical Equipment Manufacturing.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

What You’ll Do

• Build and optimize computer-vision and machine-learning pipelines that must run accurately and quickly in live (real-time) conditions.
• Write Python-first production code; profile and optimize hotspots (C++ or Cython for performance-critical paths as needed).
• Integrate software closely with hardware — your code will drive, read, and respond to physical machines in lab and clinical environments.
• Own features end-to-end: design, prototype, test in the lab, and ship to product.
• Produce verifiable software: design and implement tests, documentation, and practices that support traceability and correctness.
• Rapidly prototype ideas, iterate with mechanical and AI teams, and move validated designs into production.

---

Who You Are

• Strong Python skills and a pragmatic approach to writing production-quality code.
• Experience with computer vision, machine learning, or 3D data (perception, registration, segmentation, point clouds or similar).
• Demonstrated history of shipping working systems (not just notebooks or demos).
• Comfortable using AI coding tools but rigorous about verification and not relying on them blindly.
• Curious, methodical, and quality-focused — especially comfortable working in domains where correctness matters.
• Able to collaborate across hardware, mechanical, and AI teams to move features from idea to lab to product.

---

Preferred / Nice-to-Have

• C++ experience for performance-sensitive components.
• Prior experience with regulated software (medical devices or similar) or strong familiarity with verification, validation and documentation practices.
• Background in real-time systems, embedded software, or hardware-in-the-loop testing.
• Experience deploying ML models into production environments.

---

Why This Role

• Work on challenging, meaningful problems at the intersection of computer vision, ML and real-time control for physical devices.
• Small team where your contributions are visible and land in product quickly.
• Opportunity to grow technical breadth — from prototyping to performance engineering to verification in regulated contexts.
• Employed directly by a confidential client in the Medical Equipment Manufacturing industry.

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.