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Senior Machine Learning Engineer

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Senior Machine Learning Engineer in USA

  • New York, NY

Responsibilities

  • Design, build, and maintain scalable ML platform services including feature stores, real-time inference services, and vector databases.
  • Run and monitor online A/B tests while analyzing platform metrics and business KPIs to improve recommendation performance.
  • Collaborate with engineering and cross-functional teams to translate business requirements into modular platform components and APIs.
  • Evolve the ML platform ecosystem to improve developer velocity, scalability, and adaptability.
  • Onboard, train, and mentor new team members on platform engineering practices and technologies.

Requirements

  • At least 5 years of experience building software solutions to concrete problems.
  • Strong computer science fundamentals and the ability to write algorithms effectively.
  • Fluency in at least one of Java, Scala, Kotlin, or Python.
  • Experience with big data systems such as Spark, Kafka, Flink, S3, and AirFlow.
  • Familiarity with Ray, PyTorch, HuggingFace, and AWS Sagemaker.
  • AI literacy and curiosity, including prior Gen AI experimentation or willingness to explore it.
  • Master of Science in Computer Science or a related field.

Benefits

  • Estimated New York annual base salary of $229,500–$360,000, with health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.
  • Additional benefits may include medical, dental, vision, accident, commuter, retirement, mental health, and financial wellness support, depending on location and role.
  • Hybrid work generally requires office attendance Monday through Thursday, with Fridays generally flexible for remote work unless the role or location requires five days onsite.

Salary: $230k - $360k/yr

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