AI Resume Builder
JOIN NOW Post Job
Nous Research
AI

Full TimeML Ops Engineer

Nous Research · Saratoga, CA, USA · $103k - $115k

Actively hiring Posted about 1 year ago

Architect and implement efficient ML Inference pipelines for large language models.

Responsibilities:

  • Design and implement high-performance inference pipelines
  • Optimize model serving for throughput, latency, and cost across different workloads
  • Collaborate with research and product teams to integrate inference into real-world applications
  • Help enhance and manage the deployment pipeline and monitor production clusters
  • Debug production inference issues
  • Stay up-to-date with the latest in inference tech and open-source frameworks

Qualifications:

  • Deep experience developing and tuning LLM inference frameworks (e.g. vLLM)
  • Solid communication skills; ability to work independently and within a team
  • Experience with cloud infrastructure (AWS, GCP, Azure) and Kubernetes
  • Passion for AI and practical ML systems
  • Experience building, deploying and operating highly available, scalable, distributed cloud services.

Tags & focus areas

Used for matching and alerts on DevFound
Engineer Aws Kubernetes Solana Gcp Azure
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support