Salary - $150,000 - $250,000

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