Staff Machine Learning Engineer, PartnershipsChatGPT Jobs • San Francisco, California, United States
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Staff Machine Learning Engineer, Partnerships
ChatGPT Jobs
- San Francisco, California, United States
- 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
Sprachkenntnisse
- English
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