Staff Machine Learning Engineer, Partnerships
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Job Location:
San Francisco, CA - USA
Monthly Salary:
$ 225 - 325
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
Who We Are
At TwelveLabs we are pioneering the development of frontier multimodal foundation models that can see hear and understand the world as humans do. Our models have redefined the standards in video-language modeling allowing developers to build programs with state-of-the-art semantic search summarization and analysis capabilities.
TwelveLabs has raised $107 million in Seed Series A funding from world-class VC & corporate partners: NVIDIA NEA Radical Ventures Index Ventures Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li Silvio Savarese Alexandr Wang and more. Headquartered in San Francisco with an influential APAC presence in Seoul our global footprint underscores our commitment to driving worldwide innovation.
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). AWS Bedrock ( 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 Jaes keynote from AWS Re:invent for more on the expansion of TwelveLabs partnership with AWS: 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
Interview Process
1) Recruiter Phone Screen
2) Initial Technical Assessment
3) Hiring Manager Interview
4) Onsite Technical Interview In-Person
5) Final Interview: Culture
Even if there are a few checkboxes that arent ticked through your prior experience we still encourage you to apply! If you are a 0-1 achiever a ferocious learner and a kind and fun team player who motivates others you will find a home at TwelveLabs.
We are a global company that values the uniqueness of each persons journey. It is the differences in our cultural educational and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.
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 transfer for US employees).
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Recognized by leading researchers as the most performant AI for video understanding; surpassing benchmarks from cloud majors and open-source models.
