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Staff Machine Learning Engineer, PartnershipsChatGPT JobsSan Francisco, California, United States

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Staff Machine Learning Engineer, Partnerships

ChatGPT Jobs
  • US
    San Francisco, California, United States
  • US
    San Francisco, California, United States

Über

Job Description
Staff Machine Learning Engineer, Partnerships

Company:
TwelveLabs

Location:
San Francisco, CA

  • Remote

Salary:
$225K - $325K/yr

Type:
Full-time

Benefits:
Medical, Dental, Vision, PTO

About The Role
As a Staff Machine Learning Engineer, Partnerships at TwelveLabs, you will drive company growth in our highest leverage go-to-market channel: development of our core technology and models on partner platforms (AWS, Snowflake, Databricks, and others).

In This Role, You Will

  • Productize Twelve Labs' video foundation models & products into fault-tolerant, low-latency, scalable systems suitable for partner deployments
  • Design and deliver deep technical integrations with partner platforms such as AWS, Snowflake, Databricks, etc.
  • Own technical execution for partner integrations, serving as the subject matter expert for complex engineering and production concerns
  • Collaborate directly with engineering and product teams from our partners to co-design capabilities and influence joint roadmaps
  • Mentor junior engineers/researchers, and hold a high bar around code quality / engineering best practices
  • Lead by example in interviewing, hiring, and onboarding passionate and empathetic engineers

You May Be A Good Fit If You Have

  • 10+ years of relevant industry experience
  • Led organization- and/or company- level ML infrastructure projects from brainstorming and inception to realized product impact
  • Defined technical roadmap and prioritization for large, ambiguous, cross-functional projects, driving high-impact technical decisions
  • Experience with GPU-based compute, performance tuning, and capacity planning for ML workloads
  • Strong hands-on experience with cloud infrastructure (AWS, GCP or Azure), Docker, Kubernetes, and distributed systems in real-world environments

Strong Candidates May Also Have Experience

  • Scaling ML systems and/or data infrastructure to workloads of petabyte+ scale
  • Acting as a force multiplier across an organization: unblocking teams, raising engineering quality, and accelerating execution _beyond direct ownership_
  • Startup Agility: Experience thriving in fast-paced startup environments, with a demonstrated ability to adapt quickly and deliver results with agility

Benefits And Perks

  • An open and inclusive culture and work environment.
  • Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
  • Full health, dental, and vision benefits.
  • Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
  • VISA support (such as H1B and OPT
  • San Francisco, California, United States

Sprachkenntnisse

  • English
Hinweis für Nutzer

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