Senior Computer Vision Engineer

Senior Computer Vision Engineer.

Senior Computer Vision Engineer

San Francisco


$200000 - $300000 per year




Articificial Intelligence

Ever wished you could see through walls? Imagine using AI to spot problems before they happen, keeping vital systems running smoothly, and making our world safer. We're seeking a brilliant visioneer to join a high-impact team, wielding the power of computer vision to transform raw images into critical insights.

You'll be...

  • Unveiling hidden secrets: Inspecting infrastructure from afar, seeing what human eyes miss, and predicting future issues before they become headaches.
  • The Sherlock Holmes of Industrial sector: Scouring images for cracks, glitches, and potential dangers, ensuring everything runs like clockwork.
  • Building AI superheroes: Training algorithms to see the unseen, developing models that become the first line of defense against unforeseen problems.
  • A champion for progress: Using your expertise to improve lives, make a real difference, and be part of something truly groundbreaking.

Sound like your destiny? Bring your...

  • Sharp mind and passion for problem-solving (a degree in tech is a plus, but curiosity counts too!).
  • Eagle eye for detail and knack for spotting anomalies.
  • Teamwork skills to collaborate with other brilliant minds and build a dream team.
  • Desire to make a real impact and leave your mark on the world.

Ready to unleash your vision? Apply now through Darwin! We'll be your guide, helping you land your dream role and become an AI hero.

Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.

George Wiles


Max. file size: 512 MB.


This field is for validation purposes and should be left unchanged.


Group 365

Are you looking for a new role? Would you like to compare your current salary against the market rate?

Maybe you’re looking to grow your team and need help planning and setting hiring budgets.

Our interactive market update, split by technology, has all the information you need; from salary benchmarks, gender split and average tenure to 'time to hire' and fastest-growing skills.