Machine Learning Engineer

WebMaster Solutions

🔥 Hiring fast - apply today to be considered.
Upload your CV/resume or any other relevant file. Max. file size: 1 GB.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

  • Full Time
  • Denver, CO
  • $140,000 - $190,000 USD / Year
  • Salary: $140,000 - $190,000

Website WebMasterSols WebMaster Solutions

Innovate. Create. Code.

Job Description

About the Role

Join our AI team to develop and deploy machine learning models at scale. You’ll work on challenging problems, from natural language processing to computer vision. Your work will have a direct impact on our products and customers.

Responsibilities

  • Develop and optimize machine learning models
  • Implement MLOps pipelines for model deployment
  • Process and analyze large datasets
  • Collaborate with data scientists and engineers
  • Monitor model performance in production
  • Stay current with ML research and advancements
  • Document and communicate technical solutions

Requirements

  • 5+ years of ML engineering experience
  • Strong Python and TensorFlow/PyTorch skills
  • Knowledge of distributed computing for ML
  • Experience with cloud ML platforms
  • Understanding of data engineering principles
  • Master’s or PhD in Computer Science or related field
  • Excellent problem-solving abilities

Benefits

  • Competitive salary and equity
  • Flexible work arrangements
  • Comprehensive health benefits
  • 401(k) with company match
  • Generous research and development budget
  • Conference and training opportunities
  • Collaborative and innovative work environment

About the Company

We’re an AI research and product company solving real-world problems with machine learning. Our team includes world-class researchers and engineers working on cutting-edge technology. Join us to push the boundaries of what’s possible with AI.


Job ID: machine-learning-engineer-UVu52

Tagged as: back-end, Front-End, Full-Stack

Upload your CV/resume or any other relevant file. Max. file size: 1 GB.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Message the Recruiter

🔥 Want to get noticed faster? Message the recruiter directly.

Recruiter Photo
Linda Williams Typically replies within a few hours

Similar Jobs

Graphic Designer
Gear Up Sports
Licensed Practical Nurse (LPN)
Mercy General Hospital
Warehouse Logistics Assistant
Denver ProElectric
Senior Software Engineer
Automatex Manufacturing Solutions
Special Education Teacher Assistant
Austin Education Center