TwelveLabs
Overview
Machine Learning Engineer role at TwelveLabs. This position focuses on ML systems and platform engineering across end-to-end research and engineering workflows, including scaling training, inference, and evaluation systems, and improving reliability of model deployments and operations. Base pay range: $225,000.00/yr - $325,000.00/yr. Direct message the job poster from TwelveLabs. You will be doing
Advance enterprise video solutions by turning research into fault-tolerant, low-latency end-to-end systems Own model deployment, metadata management, and high-throughput inference strategies for retrieval (Marengo) and generative (Pegasus) models Mentor junior engineers/researchers, uphold code quality and engineering best practices Build impactful libraries and services Lead by example in interviewing, hiring, and onboarding engineers Deliver applied research solutions for tasks such as VLM finetuning, auto-labeling of video-text datasets, and model-based filtering to optimize model performance Collaborate across teams to manage priorities, evaluate trade-offs, and drive initiatives from ideation to shipment Qualifications
6+ years of relevant industry experience Experience as a technical lead delivering end-to-end projects Strong Python expertise and experience with at least one statically typed language (Golang) Experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Strong candidates may also have
Experience scaling ML systems and data infrastructure to petabyte-scale workloads Building 0-to-1 mission-critical AI/ML applications Model inference optimization (TensorRT, ONNX, Triton) Kubernetes-based distributed data/ML workflows Experience with FFmpeg or high-performance image/video processing libraries A PhD or Master’s in ML or closely related field Experience acquiring, filtering, labeling, or sanitizing large-scale language or vision-language datasets for LLM/VLM pretraining Interview process
Initial Technical Assessment Onsite Technical Interview (in-person) Final Interview: Culture Encouragement to apply even if not all checkboxes are met—ferocious learner and team player welcome Benefits and perks
Open and inclusive culture and work environment 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 Year Visa support (e.g., H1B and OPT transfer for US employees)
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Machine Learning Engineer role at TwelveLabs. This position focuses on ML systems and platform engineering across end-to-end research and engineering workflows, including scaling training, inference, and evaluation systems, and improving reliability of model deployments and operations. Base pay range: $225,000.00/yr - $325,000.00/yr. Direct message the job poster from TwelveLabs. You will be doing
Advance enterprise video solutions by turning research into fault-tolerant, low-latency end-to-end systems Own model deployment, metadata management, and high-throughput inference strategies for retrieval (Marengo) and generative (Pegasus) models Mentor junior engineers/researchers, uphold code quality and engineering best practices Build impactful libraries and services Lead by example in interviewing, hiring, and onboarding engineers Deliver applied research solutions for tasks such as VLM finetuning, auto-labeling of video-text datasets, and model-based filtering to optimize model performance Collaborate across teams to manage priorities, evaluate trade-offs, and drive initiatives from ideation to shipment Qualifications
6+ years of relevant industry experience Experience as a technical lead delivering end-to-end projects Strong Python expertise and experience with at least one statically typed language (Golang) Experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Strong candidates may also have
Experience scaling ML systems and data infrastructure to petabyte-scale workloads Building 0-to-1 mission-critical AI/ML applications Model inference optimization (TensorRT, ONNX, Triton) Kubernetes-based distributed data/ML workflows Experience with FFmpeg or high-performance image/video processing libraries A PhD or Master’s in ML or closely related field Experience acquiring, filtering, labeling, or sanitizing large-scale language or vision-language datasets for LLM/VLM pretraining Interview process
Initial Technical Assessment Onsite Technical Interview (in-person) Final Interview: Culture Encouragement to apply even if not all checkboxes are met—ferocious learner and team player welcome Benefits and perks
Open and inclusive culture and work environment 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 Year Visa support (e.g., H1B and OPT transfer for US employees)
#J-18808-Ljbffr