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2 дня назад

Senior Software Engineer (AI/ML)

125 000 - 150 000$
Формат работы
remote (только USA)
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 Software Engineer (AI/ML): Building scalable backend platforms, ML pipelines, model-serving systems, and APIs for search, retrieval, ranking, recommendation, and personalization with an accent on Vertex AI Pipelines, KServe, Kafka, Elasticsearch, and vector databases. Focus on designing distributed systems, operating production ML workflows, monitoring model performance and drift, and improving reliability and latency.

Location: New York, NY - 225 Liberty Street

Salary: $125,000–$150,000 per year for the remote pay range.

Company

hirify.global develops content experiences and AI/ML-powered capabilities that help users discover and consume content across its sites.

What you will do

  • Design and build scalable distributed backend systems for search, retrieval, ranking, recommendation, and personalization.
  • Develop and manage Vertex AI Pipelines for model training, evaluation, and deployment.
  • Build data pipelines for feature generation, model training, analytics, vector generation, storage, and retrieval.
  • Implement low-latency model serving with KServe and FastAPI, and maintain Python-based services using Node.js and TypeScript.
  • Build observability, monitoring, dashboards, and documentation for models, pipelines, APIs, and operational processes.
  • Collaborate with product, data science, platform, project management, software engineering, and frontend teams to deliver search and feed experiences.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 6+ years of experience building scalable backend systems and services, plus 5+ years of software development with object-oriented languages.
  • Strong proficiency in Python, Node.js, and TypeScript, with experience building RESTful and GraphQL APIs.
  • Experience with Elasticsearch, Apache Kafka, Apache Beam, Apache Airflow, vector databases such as Milvus or Pinecone, and ML pipelines.
  • Familiarity with AWS or GCP, Docker, Kubernetes, Grafana, Kibana, APM, Jupyter Notebook, and Apache Spark.
  • Practical understanding of machine learning, deep learning, natural language processing, ranking, retrieval, and personalization, plus the ability to communicate technical concepts clearly.

Culture & Benefits

  • Full-time employment with medical, dental, vision, and prescription drug coverage.
  • Unlimited paid time off, 10–12 paid holidays, and paid parental leave.
  • 401(k) savings plan with company matching, health savings and flexible spending accounts, and disability insurance.
  • Tuition reimbursement, adoption or surrogate assistance, donation matching, family care benefits, and commuter benefits.
  • Reasonable accommodations are available for qualified individuals with disabilities.

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