Senior AI/ML Engineer: Python & Scientific Computing

Swayable

$175K — $250K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in scientific or quantitative data-intensive software development.
  • Proficient in the scientific Python stack and test-driven development.
  • Strong problem-solving abilities and attention to detail.
  • Experience in architecting and optimizing distributed computing systems.
  • Familiar with latest tools for ML and AI operations.
  • Knowledgeable in scalable software architecture best practices.
  • Committed to writing clean, maintainable, and testable code.

Responsibilities

  • Advance Swayable's analytics engine using Python and scientific computing techniques.
  • Productize AI and machine learning tools for core product enhancement.
  • Build, maintain, and improve high-performance computing architecture.
  • Collaborate with engineers, data scientists, and researchers to develop new features.
  • Solve complex problems across software engineering and data visualization domains.

Benefits

  • Opportunity to work with cutting-edge AI and machine learning technologies.
  • Collaborative work environment with a diverse team of professionals.
  • Focus on advancement in a rapidly evolving tech landscape.
  • Encouragement of ongoing learning and mentorship roles.
  • Commitment to high-quality software development practices.
Full Job Description
Technology stack

Swayable uses Python (Numpy, Scipy, scikit-learn, Pandas, Celery, Flask), JavaScript (Vue.js, Node.js), MongoDB, and GraphQL.
About the role

Swayable is seeking a Senior Engineer blending Python software development expertise with scientific computing, machine learning, and AI experience to advance the state of the art analytics engine that powers our core product. In this role, you will be part of the team that productizes all AI, machine learning, and data analysis at Swayable. You will be responsible for building, maintaining, and continuously improving our tools, techniques, and architecture for high-performance computing. You will work with a talented and diverse team of engineers, data scientists, and research staff to build new features and solve novel problems across the spectrum of software engineering, data visualization, and science.
Requirements
  • You have 5+ years of professional experience building scientific or quantitative data-intensive software.
  • You have expertise in the scientific Python stack, object oriented and test-driven development, vectorized code, and machine learning.
  • You have excellent problem solving skills and attention to detail.
  • You have expertise in architecting, maintaining, and optimizing distributed, parallel computing systems.
  • You keep up with the constantly evolving toolset for ML and AI Ops.
  • You are knowledgeable about software architecture and can design scalable, performant solutions.
  • You value code quality and write maintainable, testable code.
Preferred qualifications
  • You have an advanced degree (MSc or Ph.D.) in STEM.
  • You have a thorough knowledge of the Linux operating system.
  • You have experience with Celery, and MongoDB.
  • You believe in the scientific method and use data to drive decisions.
  • You can give and receive informed, actionable feedback on technical and non-technical skills.
  • You are experienced at mentoring junior engineers.
  • You are a strong communicator, especially in text. You can write documentation and discuss the tradeoffs of different implementations.

Salary range: $175k-$250k

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