Pickle Robot Company
Pickle Robot Company
Pickle Robot Company ta’minot zanjiri, logistika va ishlab chiqarish sohalari uchun robototexnika yechimlarini ishlab chiqadi. Uning tizimlari jismoniy sun’iy intellekt, generativ sun’iy intellekt, mashinaviy ko‘rish va robotik manipulyatsiyani birlashtirib, omborlardagi jismoniy jihatdan og‘ir ishlarni avtomatlashtiradi. Kompaniyaning asosiy avtonom roboti palletlanmagan yuklarni yuk tashish konteynerlaridan tushiradi, jismoniy zo‘riqishni kamaytirishga va ombor unumdorligini oshirishga yordam beradi. 11–50 nafar xodimdan iborat jamoaga ega va yaqinda 50 million dollarlik B seriyali moliyalashtirish bosqichini yakunlagan Pickle Robot Company mahsulot imkoniyatlari hamda biznes ko‘lamini kengaytirmoqda.

Senior Machine Learning Engineer, Perception

Build vision and grasping models for Pickle Robot’s warehouse automation systems. Lead dataset development, model training, experimentation, and evaluation to improve safety and logistics efficiency.

Tavsif

  • Translate picking performance goals into machine learning problems with clear predictions, labels, rewards, loss functions, and success criteria.
  • Lead dataset strategy, including synthetic scene generation, distributed cloud data jobs, scene diversity filtering, and self-supervised labeling.
  • Find and resolve data bottlenecks.
  • Fine-tune large vision backbones with task-specific model heads.
  • Plan and run controlled experiments, choosing what to test next and when to conclude.
  • Create offline metrics that forecast robot performance and online metrics to improve edge-case handling.
  • Review code thoroughly.
  • Mentor less experienced engineers.
  • Help shape the perception and grasping roadmap.
  • Deliver deployable models within latency budgets, with exportable graphs and reproducible artifacts.
  • Work with platform and robotics engineers to integrate runtime systems and optimize inference.

Talablar

  • At least five years of machine learning and computer vision experience, including personally taking models from problem definition through measured results.
  • Demonstrated ability to frame problems and turn broad product requirements into specific engineering work.
  • Experience building datasets at scale through generation or collection, curation, automated quality checks, coverage and bias analysis, and active learning.
  • Strong evaluation practices, including baselines, ablation studies, and metric design.
  • Expert proficiency in Python and PyTorch.
  • Working knowledge of cloud training infrastructure such as GCP or AWS, Docker, and experiment tracking tools.
  • Professional experience in at least one area: developing and training multi-task, multimodal, or multi-view models; or self-supervised, outcome-based, or reward-driven learning.

Imtiyozlar

  • Health insurance
  • Dental coverage
  • Vision coverage
  • Unlimited vacation
  • Paid federal and state holidays
  • 401(k) contributions equal to 5% of salary
  • Company-paid travel expenses
  • Additional perks intended to make work more enjoyable, comfortable, and productive

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