Principal (lead) Computer Vision Engineer

Twelve10; Boston (MA); Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Meaningful equity

Job summary

Twelve10 is seeking a Principal (Lead) Machine Learning Engineer with a focus on Computer Vision to guide the ML direction for a SaMD product. You will own model development, deployment, and the technical roadmap while operating in a fully remote US environment with equity on offer.

Expect 80–90% hands-on work and leadership across hardware, product and R&D. Medical imaging and health-monitoring domain experience are highly valued, with Python and production engineering skills required.

Qualifications

• Hands-on ML engineering with an emphasis on computer vision models.
• Healthcare/medtech exposure is highly relevant (SaMD, health-monitoring).
• Python and production engineering skills for end-to-end work from data to deployment.

Responsibilities

• Own the technical direction of the ML function.
• Lead hands-on model development and deployment (80–90% of time).
• Mentor colleagues and help shape future hires; influence hardware, product and R&D.

Skills

Hands-on ML

Computer vision

Python

Production ML

Mentoring

Tools

Model deployment

Job description

Principal (Lead) Machine Learning Engineer, Computer Vision

Fully Remote · United States · Meaningful Equity

You’ve built the models. Now own the direction.

After an eight-figure Series A raise, a healthtech company is making its first principal-level ML hire with a specialty in Computer Vision for a SaMD product. This is your opportunity to take ownership of the machine learning behind a connected health-monitoring device and help bring it into its next stage of development.

You’ll decide how the models, data and architecture evolve, with the authority to put those decisions into practice. Your work will turn real-world images and sensor data into insights that help people better understand their health.

Expect 80–90% hands-on work, alongside responsibility for the technical direction of the ML function. The team will stay lean for the next 18–24 months. You’ll build alongside a junior engineer, have a budget for another hire or two (depending on your recommendation) mentor colleagues and help shape the next hire, with direct influence across hardware, product and R&D.

For someone who enjoys both difficult engineering and owning the outcome, there’s room here to make a lasting contribution. You’ll establish how the work gets done, see your decisions reach a physical product and share in what you build through meaningful equity.

You’ll need to bring computer vision models you’ve personally trained and deployed, plus healthcare or medtech experience. Medical imaging, health-monitoring systems or SaMD would be particularly relevant, alongside the Python and production engineering skills to take your work from data through deployment.

Fully remote across the US, with a preference for Boston or Austin and occasional in-person meetups.