Назад
Company hidden
2 дня назад

Applied ML Engineer (AI)

200 000 - 235 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Applied ML Engineer (AI) (Computer Vision/Sensor Fusion): Building and deploying machine learning models and real-time inference pipelines for edge-intelligent maritime sensing systems with an accent on computer vision, sensor fusion, and hardware-aware optimization. Focus on designing models for detection and anomaly inference, processing multimodal sensor data under embedded constraints, and improving reliability in challenging field conditions.

Location: Arlington, VA, United States; on-site

Salary: $200,000–$235,000 per year plus equity

Company

hirify.global develops a maritime intelligence platform that combines HD video, AI, radar, RF sensing, and AIS to provide real-time maritime domain awareness for defense agencies, coast guards, and commercial maritime operators.

What you will do

  • Design, train, and evaluate models for object detection, classification, anomaly detection, and sensor-based inference.
  • Optimize model architectures and inference pipelines for embedded and edge hardware with compute and bandwidth constraints.
  • Develop datasets and labeling strategies using augmentation, synthetic data generation, and domain adaptation.
  • Prototype solutions across computer vision, signal processing, and multimodal sensor fusion.
  • Implement real-time sensor-data pipelines for on-device and cloud environments.
  • Build benchmarking, visualization, and debugging tools while contributing to code reviews and technical documentation.

Requirements

  • Master’s or PhD in Computer Vision, Machine Learning, Robotics, or a related field; bachelor’s candidates may be considered case by case.
  • 4+ years of experience building and deploying machine learning models in production.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with image, time-series, geospatial, RF, or other multimodal data.
  • Experience with edge or embedded ML deployment, model compression, and hardware-aware optimization.
  • Must be eligible to obtain and maintain a security clearance.

Nice to have

  • Experience in maritime, aerospace, or other remote-sensing domains.
  • Familiarity with cross-validation, hyperparameter tuning, and model monitoring.

Culture & Benefits

  • Flexible working hours with occasional deadlines requiring high availability.
  • Opportunity to work on AI and sensing projects with global impact.
  • Collaboration across hardware, software, and product functions.
  • Equity offered as part of compensation.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →