What You'll Own
Work directly with customers to translate ambiguous dataset needs into concrete technical systems and delivery timelines
Build custom algorithms, models, and large-scale data pipelines spanning computer vision, audio processing, text processing, and metadata analysis
Move between research prototypes and production systems, using models and APIs creatively to solve customer problems
Break down customer-level goals into the models, heuristics, infrastructure, and QA steps needed to deliver
Optimize performance through pre/post-processing, parallelism, inference optimization, fine-tuning, and evaluation loops
Must-Have
Strong Python developer with hands-on experience building custom algorithms, model workflows, or large-scale data pipelines
Comfortable working directly with customers or external teams to translate ambiguous needs into technical systems
Deep intuition for dataset quality, filtering, labeling, evaluation, and edge cases
Able to move quickly between research prototypes and reliable production systems without creating brittle code
1 to 3 years of experience shipping technical work in a startup or high-velocity environment
Nice-to-Have
Experience building custom algorithms or ML workflows for production video, audio, or multimodal data
Hands-on work with large-scale data pipelines at scale
Background with PyTorch or similar ML frameworks in production
Active contributor to open source projects
Early hire experience at a startup