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6 часов назад

Senior Machine Learning Engineer - AI Platform

171 600 - 257 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Machine Learning Engineer - AI Platform (AI/LLMs/RAG): Building AI platform capabilities, agentic user experiences, ML pipelines, APIs, and services for enterprise HR and Finance products with an accent on Python, cloud-scale machine learning, natural language understanding, and model lifecycle management. Focus on designing scalable and observable ML systems, deploying models with Docker and Kubernetes, and solving complex information retrieval, recommendation, and autonomous-agent problems.

Location: Boulder, Colorado, USA; at least 50% of each quarter in the office or in the field

Annual base salary: $171,600–$257,400 for the primary Boulder location; $163,000–$288,000 for additional US locations. The role may also include bonus or commission and annual refresh stock grants.

Company

hirify.global is a Fortune 500 company providing AI-powered software for managing people, money, and enterprise operations.

What you will do

  • Design and implement features for ML platforms, pipelines, and production services.
  • Develop AI-powered user experiences using agentic AI, LLMs, RAG, and natural language understanding.
  • Build and deploy cloud-based ML architectures, APIs, and model-hosting services with Docker and Kubernetes.
  • Enable training, deployment, lifecycle management, evaluation, scalability, and observability for supervised and unsupervised models.
  • Analyze large HR and Finance datasets and develop information retrieval and recommendation solutions.
  • Provide technical leadership and mentorship to more junior engineers while collaborating with product managers, application teams, and leadership.

Requirements

  • Bachelor’s degree in engineering, data or computer science, physics, mathematics, or an equivalent field; advanced degree preferred.
  • 6+ years of experience building and delivering applied machine learning products at scale through production evaluation.
  • 5+ years of professional Python experience and 5+ years working with cloud computing platforms such as AWS or GCP.
  • 3+ years of experience with information retrieval or graph-based recommendation systems, and with production LLM, text-generation, or graph-based ML models.
  • Experience with PySpark, PyTorch, TensorFlow, scikit-learn, Pandas, Kubernetes, Docker, data engineering, and data wrangling.
  • Strong understanding of statistical analysis, supervised and unsupervised learning, NLP, and technical leadership in ambiguous problems.

Culture & Benefits

  • Flexible work combines in-person collaboration with remote flexibility.
  • At least 50% of each quarter is spent in the office or in the field with customers, prospects, and partners, depending on the role.
  • Potential eligibility for a bonus or role-specific commission, annual refresh stock grants, and hirify.global benefits.
  • Reasonable accommodations are available during the application process.

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