Senior AI/ML Engineer: Python & Scientific Computing

Swayable

$175K — $250K *
Enterprise 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 machine learning
  • Strong problem-solving skills with meticulous attention to detail
  • Expertise in architecting and optimizing distributed computing systems
  • Familiar with the latest tools in ML and AI operations
  • Solid understanding of software architecture for scalable solutions
  • Commitment to writing high-quality, maintainable, testable code

Responsibilities

  • Develop and enhance Swayable's analytics engine using Python and other technologies
  • Collaborate with engineers, data scientists, and researchers to innovate features
  • Productize AI and machine learning capabilities for core products
  • Maintain and continuously improve tools for high-performance computing
  • Implement solutions for data visualization and scientific computing challenges
  • Architect efficient, scalable software systems for diverse applications

Benefits

  • Opportunity to work with a diverse and talented team
  • Engage in cutting-edge projects at the intersection of technology and science
  • Work in a dynamic environment with real-time problem solving
  • Chance to mentor and develop junior engineers
  • Access to resources for professional development and training
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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