Google

Machine Learning Engineer, Computer Vision

place Mountain View, CA, USA

Found: Today

Location: Mountain View, CA, USA

Compensation:

$174,000-$252,000 + bonus + equity + benefits

Responsibilities:

  • Develop solutions in artificial intelligence and machine learning applications for smart manufacturing.
  • Implement and adapt deep learning architecture for automatic optical inspection solutions.
  • Debug computer vision or image processing algorithms.
  • Design and develop scalable Machine Learning infrastructure.
  • Maintain and improve existing AI platforms.

Minimum Qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in languages like Java, Python, or C/C++.
  • Experience with image processing, computer vision, and machine learning algorithms.
  • Knowledge of ML infrastructure and tools (e.g., TensorFlow).

Preferred Qualifications:

  • Master's degree or PhD in Engineering with a focus on computer vision.
  • Experience in building and testing consumer electronic products.
  • Familiarity with generative AI and LLM related skills.

Get jobs like this in your inbox daily

Fresh FAANG jobs, every day, filtered for your role and location.

Apple Google Amazon Meta OpenAI Microsoft Nvidia Stripe TikTok Netflix Uber Airbnb Booking Spotify Canva Pinterest
or use email

Similar Big Tech Jobs - Posted in the Past 24h

🔍 Google

AI/ML Engineer, National Security, Google Public Sector

place Reston, VA, USA ; Washington D.C., DC, USA
🎶 Spotify

Staff Machine Learning Engineer

New York
Stanislav Prigodich

Hey, I'm Stan

Software Developer & Creator of Top Jobs Today

I'm a software developer, and over time I realized I cared mostly about roles at big tech companies - not just whatever happened to show up on LinkedIn or generic job boards. But those sources weren't enough - some roles were delayed, or never posted at all.

So I built this website to solve that. It scrapes fresh job postings directly from official company sites, figures out what kind of roles they really are, and sends them as email alerts - simple, fast, and focused.

Hope it makes your search easier too. Wishing you the best of luck - and I'm really glad you're here!