Machine Learning Engineer- 150k-225k + Stock + Amazing Benefits!

San Jose US 94088

Job Details

  • Managed by

    Joseph Jeske

  • Job Type

    Full Time

  • Compensation


My clients mission is to enable greater speed, accuracy, and efficiency in AI by creating deep learning models that bridge the gap between AI applications and the diverse range of devices found on the edge.

My client is looking for a talented ML Engineer to join the Code Algorithm team, you'll work at the very center of mission to create algorithms and integrate them with our automated optimization tools.


  • Collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver algorithm solutions
  • Create proof-of-concept demos using the latest computer vision, image processing, machine learning technologies
  • Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of problem solving


  • PhD. or master's degree in computer science,
  • Artificial intelligence, machine learning, or related technical field
  • Strong programming skills with proven experience crafting, prototyping, and delivering advanced algorithmic solutions, proficiency in Python and PyTorch
  • Experience of designing and training machine learning models, passionate for making ML methods robust and scalable
  • Great interpersonal, communication, and collaboration skills
  • Desire to work in a fast-paced, dynamic startup environment

Nice to have:

  • Deep knowledge in computer vision and/or time-series analysis
  • Experience with model compression and edge deployment.
  • Strong software design and development skills and experience working effectively with science, data processing, and software engineering teams
  • Strong architectural and problem-solving skills

What's in it for you:

  • $150-$225k
  • Stock Options
  • Comprehensive benefits
  • Partial Remote
  • 401k

So if you are a ML Engineer, with a desire to work in a start up environment apply today!

Easy Apply Now!

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