ML Research Engineer

Job Description

• Deliver top-notch applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance • Collaborate with our science org to optimize the (e.g.) training/inference performance of our core model stack • Define a systematic prompt generation and selection strategy for our flagship VLM • 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 • Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment • Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems

Qualifications

• 10+ years of industry experience (or 7+ with a PhD in a related technical domain) • A PhD, or a Master's degree, in machine learning or a closely related discipline • Led teams of 5+ engineers as a technical lead, or formally managed engineering teams comprised of both junior and senior engineers • Published research/engineering work on LLMs, VLMs, video models, or contrastive multimodal models in top-tier AI conferences such as NeurIPS, ICML, ICLR, etc., or have scaled distributed foundation model data acquisition, training, inference, evaluation, etc. • Expertise optimizing model inference with TensorRT, ONNX, Triton Inference Server, or directly related technologies • Built Kubernetes-based systems for distributed data/ML workflows or worked extensively with HPC tools such as Slurm • A passion for, and experience in, both ML modeling and ML/AI systems software engineering • Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang) • An applied bent / are not a pure theoretician: we are an applied science and engineering group at an applied science and engineering company! • Strong communication skills in written and spoken English

Benefits

• Not specified