GenAI ML Engineer - Scalable AI/ML Systems

Point72

Seattle (WA)

On-site

USD 185,000 - 300,000

Full time

22 hours ago
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Benefits offered by this job

Fully-paid health care benefits
Generous parental and family leave
Mental and physical wellness programs
Volunteer opportunities
Non-profit matching gift program
Affinity groups support for women, and
Affinity groups support for minorities
Tuition assistance
401(k) with employer match

Job summary

Point72’s Technology team is seeking an AI/ML engineer to design and maintain scalable AI/ML architectures. You will collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.

You will evaluate tools, stay updated on AI/ML advancements, and ensure the highest quality and performance while maintaining ethical standards. This role is based in Seattle with competitive compensation.

Qualifications

  • Bachelor's or Master’s degree in CS, Eng, or related field.
  • 3–7 years of AI/ML engineering experience with proven project delivery.
  • Strong ML frameworks experience: TensorFlow, PyTorch, Scikit-learn.

Responsibilities

  • Develop and maintain scalable AI/ML architectures and systems.
  • Collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions.
  • Evaluate tools and processes for quality and performance of AI/ML systems.
  • Stay abreast of latest AI/ML advancements and best practices.
  • Ensure compliance with industry standards in AI/ML.

Skills

TensorFlow
PyTorch
Scikit-learn
Python
Java
C++

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Job description

Point72’s Technology team is seeking an AI/ML engineer to design and maintain scalable AI/ML architectures. You will collaborate with data scientists, engineers, product teams, and compliance to integrate AI/ML solutions into existing and new products.

You will evaluate tools, stay updated on AI/ML advancements, and ensure the highest quality and performance while maintaining ethical standards. This role is based in Seattle with competitive compensation.

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