Machine Learning Engineer - Infrastructure & Training

Signify Technology; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to design and manage scalable infrastructure for training and deploying large-scale ML models. This role involves optimizing cloud-based environments and utilizing orchestration tools to streamline ML pipelines. You'll collaborate with research and engineering teams, ensuring that compute systems align with model training needs. Join a dynamic team that values creativity and problem-solving, offering a collaborative environment and comprehensive benefits. If you are passionate about machine learning and eager to make a significant impact, this opportunity is perfect for you.

Benefits

Fully Covered Medical, Dental, and Vision Insurance

Paid Time Off

Parental Leave

Free Lunches

Team Building Events

Collaborative Team Environment

Qualifications

• Hands-on experience with cloud platforms for ML workloads.
• Strong understanding of distributed training and multi-GPU scaling.

Responsibilities

• Design and manage scalable infrastructure for ML models.
• Optimize cloud environments for distributed training workloads.

Skills

AWS

GCP

Python

Bash

Docker

Kubeflow

Problem-solving

Communication skills

Education

Bachelor’s degree in CS, IT, or related field

Tools

AWS

GCP

Docker

Kubeflow

Job description

Join to apply for the Machine Learning Engineer - Infrastructure & Training role at Signify Technology

3 weeks ago Be among the first 25 applicants

Join to apply for the Machine Learning Engineer - Infrastructure & Training role at Signify Technology

Get AI-powered advice on this job and more exclusive features.

Job Title: Machine Learning Engineer – Infrastructure & Training

Salary: $200,000 – $300,000 + equity

Location: New York City or San Francisco (on-site)

Responsibilities

• Design and manage scalable infrastructure to support training and deployment of large-scale ML models
• Optimize cloud-based compute environments (AWS, GCP) for distributed training workloads
• Monitor and improve system performance for high-throughput video and generative model tasks
• Use orchestration tools (e.g., Kubeflow, Docker) to streamline ML pipelines
• Collaborate with research and engineering teams to align compute systems with model training needs
  
  
  

Requirements

• Bachelor’s degree in CS, IT, or related field
• Hands-on experience with AWS, GCP, or Azure for large-scale ML workloads
• Strong understanding of distributed training and multi-GPU scaling
• Familiarity with Docker and orchestration tools like Kubeflow
• Proficient in Python or Bash for automation and system management
• Excellent problem-solving and communication skills
• Prior experience in fast-paced, startup environments is a plus
  
  
  

Benefits:

• Fully Covered Medical, Dental, and Vision Insurance
• Paid Time Off
• Parental Leave
• Free Lunches
• Team Building Events
• Collaborative Team environment
  
  
  

If you are interested in learning more about this position or any other roles we may have open, please apply today!

Accessibility Statement

• Read and apply for this role in the way that works for you by using
• our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences.
• We make an active choice to be inclusive towards everyone every day.
• Please let us know if you require any accessibility adjustments through the application or interview process.
  
  
  

Our Commitment To Diversity, Equity, And Inclusion

Signify’s mission is to empower every person, regardless of their background

or circumstances, with an equitable chance to achieve the careers

they deserve. Building a diverse future, one placement at a time.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Staffing and Recruiting

Referrals increase your chances of interviewing at Signify Technology by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

San Francisco, CA $135,000.00-$200,000.00 2 months ago

San Francisco, CA $170,000.00-$250,000.00 2 weeks ago

San Francisco, CA $130,000.00-$230,000.00 3 months ago

Research Engineer - Machine Learning (ML)

San Francisco, CA $100,000.00-$200,000.00 1 year ago

Redwood City, CA $123,000.00-$185,000.00 5 months ago

San Francisco, CA $140,000.00-$160,000.00 3 months ago

Machine Learning Researchers (Open-Endedness) - Open Level

San Francisco, CA $130,000.00-$238,000.00 2 days ago

Machine Learning Engineers (Open-Endedness) - Open Level

Machine Learning, Optimization. Remote or Hybrid

San Francisco, CA $150,000.00-$225,000.00 4 months ago

Machine Learning Engineer, Stripe Capital

Sr. Software Engineer, ML Platform - Slack

San Francisco, CA $140,000.00-$180,000.00 3 months ago

San Francisco, CA $144,000.00-$247,500.00 1 day ago

San Francisco, CA $140,000.00-$160,000.00 2 months ago

Machine Learning Engineer, AI (FULLY REMOTE, USA)

San Francisco, CA $56.25-$173,000.00 2 weeks ago

San Francisco, CA $150,000.00-$200,000.00 4 months ago

San Francisco, CA $190,000.00-$320,000.00 2 months ago

San Francisco, CA $100,000.00-$180,000.00 1 year ago

San Francisco, CA $172,000.00-$384,100.00 3 days ago

Machine Learning Scientist, NLP (All Levels)

San Francisco, CA $200,000.00-$300,000.00 1 month ago

Machine Learning Scientist, NLP (All Levels)

San Francisco, CA $200,000.00-$300,000.00 2 months ago

Machine Learning Engineer for Game Technology

Machine Learning Engineer, Customer Care Tech

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.