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3 часа назад

Member Of Technical Staff (AI Engineering)

175 000 - 250 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Релокация
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Member of Technical Staff (AI Engineering): Building the data generation and training infrastructure for electromagnetic foundation models with an accent on large-scale ML pipelines, scientific computing, and distributed systems. Focus on designing robust data APIs, optimizing training throughput across HPC environments, and ensuring reproducibility for complex physics-grounded intelligence.

Location: Must work in person at the NYC HQ (with 10-20% travel required).

Salary: $175,000–$250,000 per year.

Company

hirify.global is a venture-backed startup building electromagnetic superintelligence to accelerate hardware innovation and optimize hardware lifecycles.

What you will do

  • Scale electromagnetic training data generation by building infrastructure for synthetic and physically grounded datasets.
  • Design dataset APIs, schemas, and quality gates for simulations, measurements, and expert annotations.
  • Develop high-throughput training pipelines including distributed data loading, sharding, and caching.
  • Partner with applied researchers to translate model needs into scalable platform primitives.
  • Build tooling for experiment traceability, regression detection, and dataset versioning.
  • Operationalize physics-grounded intelligence by connecting solvers and lab measurements into production pipelines.

Requirements

  • 5+ years of software engineering or ML infrastructure experience in high-performing research or tech environments.
  • Strong proficiency with Python and modern ML frameworks like PyTorch or JAX.
  • Deep experience with distributed systems, data platforms, and large-scale ML workloads.
  • Ability to work in person at the NYC headquarters.
  • Comfort with ambiguous research requirements and translating them into scalable platform solutions.
  • Strong communication skills for cross-functional collaboration with researchers and engineers.

Nice to have

  • Experience with scientific ML, neural operators, or physics simulation.
  • Familiarity with EDA tooling, EM solvers, or hardware design workflows.
  • Experience with Slurm, Ray, Kubernetes, AWS Batch, or distributed filesystems.
  • Interest in RF, signal integrity, or power integrity.

Culture & Benefits

  • 100% coverage of medical, vision, and dental insurance premiums for employees and dependents.
  • 401(k) retirement plan.
  • Unlimited PTO policy.
  • Daily catered lunches from local restaurants.
  • Relocation support provided.

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