Staff Machine Learning Engineer, Partnerships
About The Position
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). AWS Bedrock (https://aws.amazon.com/bedrock/twelvelabs/) is one such partner platform. Applying your ML and cloud engineering expertise to catalyze our business and product partnerships is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to scale product impact by leveraging internal and external collaboration. See our CEO Jae's keynote from AWS Re:invent for more on the expansion of TwelveLab's partnership with AWS: https://www.youtube.com/watch?v=ggfWAg4RnGg
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- 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 transfer for US employees).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
11-50 employees
