Logo for Aidaptive

Machine Learning Engineer at Aidaptive

Role overview

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience
  • Python development experience for modeling
  • Experience with deep learning frameworks including TensorFlow and other machine learning libraries
  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field

Responsibilities

  • Develop solutions for real world, large scale problems
  • Design, develop, test, maintain and improve Machine Learning models
  • Manage project priorities, deadlines, and deliverables

About the company

Aidaptive logo

Aidaptive

Artificial Intelligence & Machine Learning Services

Founded by the former Google AI team behind Google Ads and Payments, Aidaptive is powering the next generation of digital commerce with an enterprise-grade adaptive AI platform.

Company details

Company typeStartup
IndustryArtificial Intelligence & Machine Learning Services
Company size11 - 50

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Role:

We're a global team with a track record of building world class enterprise products and are seeking talented Machine Learning Engineers to develop and optimize ML models.

Minimum qualifications:

  • Bachelor's degree in Computer Science, Mathematics, or equivalent practical experience.
  • Python development experience for modeling.
  • Experience with deep learning frameworks including TensorFlow and other machine learning libraries

Preferred qualifications:

  • Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field.
  • Experience in building, deploying, and improving machine learning models and algorithms in real-world products.
  • Experience with one or more of the following: natural language processing, computer vision, recommendation systems or similar.

Responsibilities:

  • Develop solutions for real world, large scale problems.
  • Design, develop, test, maintain and improve Machine Learning models.
  • Manage project priorities, deadlines, and deliverables.

Apply once. Then go straight to the hiring manager.

After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
Unlocked after you apply
·

Machine Learning Engineer Related jobs

Other jobs at Aidaptive

Premium

Reach out to the hiring manager directly.

Gain access to the contact details of the hiring managers who actually decide, and reach out to network with them directly. That, plus more when you upgrade:

  • Full match report with fit score and gaps
  • Career diagnostics on how recruiters read you
  • Curated company matches and warm intros
  • 48h early access to new roles

Cancel anytime.