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ChatGPT Jobs · 18 hours ago

Staff Machine Learning Engineer, Partnerships

United States

Full-time

Remote

Lead/Staff

$225K/yr - $325K/yr

10+ years exp

TwelveLabs is a company focused on advancing AI technology, and they are seeking a Staff Machine Learning Engineer to drive growth through the development of core technology on partner platforms. The role involves productizing video foundation models, designing technical integrations, and mentoring junior engineers while collaborating with partner teams.

Computer Software

H1B Sponsored

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

Qualification

Machine LearningCloud InfrastructureGPU-based ComputeDockerKubernetesDistributed SystemsAgilityMentoringCollaboration

Required

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

Preferred

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