Staff Machine Learning Engineer, Twelve Labs

• 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
• 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
• Even if there are a few checkboxes that aren’t 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

Desirable

• 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)
• Applying your ML and cloud engineering expertise to catalyze our business and product partnerships is the essence of the role
• 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

• Recruiter Phone Screen
• Initial Technical Assessment
• Hiring Manager Interview
• Onsite Technical Interview [In-Person]
• Final Interview: Culture
• Even if there are a few checkboxes that aren’t 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