Unknown Company

Machine Learning Engineer

Remote • Posted 3 days ago
Remote Full Time Engineering

This range is provided by Doghouse Recruitment. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$160,000.00/yr - $230,000.00/yr

Direct message the job poster from Doghouse Recruitment

Senior HFT & Trading Tech Recruiter | C++ · Rust · Core Linux · Low Latency · Network Engineering

AI/ML Solutions Architect – Distributed Training & GPU Infrastructure

Location: Remote from anywhere in the U.S.

Salary: Up to $230k base + bonus, depending on seniority

Join a fast-moving AI infrastructure team working on the cutting edge of large-scale ML workloads. This role is ideal for engineers who enjoy solving deep technical challenges in distributed training, multi-GPU systems, and scalable AI inference infrastructure. You'll work directly with AI-focused clients, helping them get the most out of modern GPUs (H100, B200, etc.) and ML frameworks like PyTorch and JAX.

Responsibilities

  • Work alongside world-class engineers building the infrastructure behind next-gen AI systems. As part of the customer solutions team, you'll:
  • Design and deploy high-performance ML pipelines across hundreds/thousands of GPUs
  • Guide customers in optimizing distributed training and inference setups
  • Deliver tech talks, contribute to whitepapers, and gather feedback for product teams
  • Work cross-functionally with engineering, product, and R&D to shape our AI platform

Required Skills

  • 7+ years in ML infrastructure, MLOps, or similar roles
  • Deep experience with PyTorch or JAX and multi-node training
  • Strong understanding of ML pipeline design, performance tuning, and deployment
  • Programming in Python (Go, Java, or C++ a plus)

Bonus

Experience moving ML systems from POC to production-scale; familiarity with Hugging Face, TensorFlow, or inference optimization

We’re looking for hands-on engineers who understand real-world ML problems and love building scalable, robust systems. If you thrive at the intersection of infrastructure and AI, this is your next move.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Engineering and Information Technology

Industries

  • IT Services and IT Consulting, Technology, Information and Media, and IT System Design Services

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