Назад
1 день назад

Software Engineer (ML)

210 000 - 230 000$
Формат работы
remote (только USA)/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US

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Описание вакансии

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TL;DR
Software Engineer (ML): Productionizing machine learning research prototypes into deployable, scalable solutions with an accent on software engineering, DevOps, and high-performance inference. Focus on building containerized gRPC services, designing CI/CD pipelines, optimizing NVIDIA Triton deployments, and tuning production workloads.

Location: Annapolis Junction, Maryland, United States; on-site / remote. Telework is available once familiar with the environment.

Salary: $210,000–$230,000 per year

Company

Customer-focused technology company delivering innovative solutions for complex mission requirements through multidisciplinary technical teams.

What you will do

  • Transform machine learning research code and prototypes into reliable, scalable production systems.
  • Develop applications and services in C++, Java, or Python.
  • Build containerized gRPC solutions with Java, Python, or Go clients.
  • Design and maintain CI/CD pipelines for development-to-production delivery.
  • Configure and optimize NVIDIA Triton Inference Server deployments for high-performance inference.
  • Profile and tune production workloads, write user documentation, and collaborate with end users and ML researchers.

Requirements

  • Current Top Secret/SCI security clearance with polygraph is required.
  • U.S. work authorization and eligibility to maintain the required government clearance are required; clearance sponsorship or nomination is not available.
  • Seven years of software engineering experience on programs or contracts of similar scope, type, and complexity.
  • Bachelor’s degree in Computer Science or a related discipline, or four additional years of comparable software engineering experience in place of the degree.
  • Experience with TypeScript, JavaScript, CSS, Vue, React, Vite, Node, NPM, and Git.
  • Experience developing production software, CI/CD pipelines, containerized services, and ML deployment infrastructure.

Nice to have

  • Experience with video playback technologies such as HTML5 video, Vidstack, video.js, HLS, or DASH.

Culture & Benefits

  • Creative problem-solving, open communication, employee empowerment, and a technically strong, growth-oriented environment.
  • Flexible work schedules, paid time off, and birthday leave.
  • Immediate-vesting 11% Roth or traditional 401(k) contribution.
  • Company-subsidized medical coverage and company-paid vision, dental, disability, and life insurance.
  • Professional development, training, certificate and degree bonuses, technology allowances, wellness reimbursement, and internet reimbursement.

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