Find a jobRecruiters

Senior Software Engineer, ML Enablement

Exclusive opportunity

Onsite

Senior Software Engineer, ML Enablement

Ladders

Senior Software Engineer, ML Enablement

Skills

Google Cloud PlatformPythonMachine LearningAIKubernetes

10 days ago

Share this opportunity

Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.

Important information


Contract type:

Permanent

Location:

United States

Work mode:

Onsite

Published on:

16 October 2026

What they need


For our client, we are seeking a Senior Software Engineer, ML Enablement to join the team of a leader in the Consumer Technology space.

This role will focus on building the infrastructure that supports machine learning model training and serving at scale. You will partner closely with Applied Scientists and other engineering stakeholders to improve performance, reliability, and cost efficiency across production systems. The work will span backend engineering, cloud infrastructure, and LLM serving support in a fast-moving consumer technology environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $164,000 – $246,000 annually

Responsibilities

  • Write high-quality, production-grade Python code and participate in code reviews
  • Build and improve infrastructure for training and serving ML models on GCP and Kubernetes
  • Design and maintain serving infrastructure for open-source and internal LLMs
  • Apply ML fundamentals to make informed infrastructure decisions
  • Collaborate with Applied Scientists to streamline model training and serving workflows
  • Contribute to system design discussions, balancing performance, cost, and reliability
  • Utilize generative AI tools to enhance productivity and learning

Qualifications

  • Bachelor's degree in Computer Science, Applied Statistics, Mathematics, Electrical Engineering, or a related field, or equivalent experience
  • 5+ years of experience building and troubleshooting complex backend systems
  • Strong software engineering skills with proficiency in Python and understanding of algorithms and data structures
  • Hands-on experience with Google Cloud and Kubernetes for production workloads
  • Familiarity with observability tools for monitoring distributed systems
  • Knowledge of machine learning fundamentals and LLM serving infrastructure
  • Basic understanding of transformer architectures and their impact on serving infrastructure

Benefits

  • Equity package and annual performance bonus
  • Comprehensive benefits supporting you and your family
  • Flexible work arrangements with a focus on collaboration in the Brooklyn office

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

Other offers great for you!

These companies are also looking for great profiles

Skiils

Machine Learning Engineer / MLOps Senior

Freelance

Paris, France

Hybrid

Skills

LLMs / Large language modelsDockerPythonPyTorchMachine LearningAWSKubernetesMLOpsCI/CD

4 months ago

Quick apply

Theodo

Machine Learning Engineer / ML Engineer

480 - 580

Freelance

Paris, France

Hybrid

Skills

AIData Scientist

6 days ago

Quick apply

Espace Freelance

Senior MLOps Engineer

Freelance

Paris, France

Hybrid

Skills

Google Cloud PlatformDatabricksMachine LearningAWSTerraformMLflow

3 days ago

Quick apply

The best place to find your next move

© 2026. All Rights Reserved.

Talents

Find a job

Create a profile

Solutions and tools