Machine Learning Software Engineer

• Posted 10 hours ago • Updated 10 hours ago
Full Time
On-site
USD $130,000.00 - 150,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Critical Thinking
  • Research
  • Software Development
  • DevOps
  • Collaboration
  • Data Science
  • Microservices
  • Docker
  • Testing
  • Computer Science
  • Object-Oriented Programming
  • Software Design
  • Data Analysis
  • SQL
  • RESTful
  • Amazon Web Services
  • NumPy
  • Pandas
  • Torch
  • scikit-learn
  • Python
  • Machine Learning (ML)
  • Forms
  • Honesty
  • Finance
  • Recruiting
  • Value Engineering
  • Messaging

Summary

At Lendbuzz, we believe financial opportunity should be more personalized and fair. We develop innovative technologies that provide underserved and overlooked borrowers with better access to credit. From our employees to our dealers, partners, and borrowers, we've built a company and a culture around a resolute belief in the promise and power of diversity. We value independent and critical thinking.

We are looking for a talented Machine Learning Engineer who is passionate about delivering impactful solutions and moving models from research environments into high-performance production systems. The ideal candidate will possess a strong background in software development principles, exceptional coding skills, and a working understanding of machine learning and DevOps methodologies.

Key Responsibilities:
    • Collaborate closely with data scientists and cross-functional teams to integrate machine learning models seamlessly into production systems
    • Implement end-to-end solutions, including architecture design, business logic, deployment and monitoring
    • Perform exploratory data analysis, build baseline models and fine-tune existing architectures to support the data science team
    • Package, containerize, and deploy ML models (Financial, Text, Image) as scalable microservices (using FastAPI, Docker)
    • Stay updated with advancements in machine learning and related technologies to continuously improve our solutions
    • Drive the adoption of rigorous engineering standards and testing practices for ML codebases, ensuring high-quality, reliable ML model releases

Key Requirements:
    • Master's or Bachelor's degree in Computer Science, Engineering, or a related field with 2+ years of relevant industry experience
    • Strong understanding of computer science fundamentals, object-oriented programming and software design patterns
    • Strong knowledge of machine learning fundamentals and proficiency in data analysis
    • Proficiency in Python, SQL, FastAPI or other RESTful API architectures and AWS
    • Familiarity with numpy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning

$130,000 - $150,000 a year

We believe:

Diversity is a competitive advantage. We celebrate our differences, and are better when we have a variety of experiences, viewpoints, and backgrounds.

Compassion is a strength. We care about our customers and look to build long-term relationships with them.

Simplicity is a key feature. We work hard to make our forms and processes as painless and intuitive as possible.

Honesty and transparency are non negotiable. We incorporate these traits in all of our interactions.

Financial opportunity belongs to everyone. We work every day to improve lives by extending this opportunity.

If you believe these things too then we would love to hear from you!

A Note on Recruiting Outreach

We've been made aware of individuals falsely claiming to represent Lendbuzz using lookalike email addresses (eg @lendbuzzcareers.com). Please note that all legitimate emails from our team come from @lendbuzz.com. We will never ask for sensitive information or conduct interviews via messaging apps.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90922487
  • Position Id: 23905572
  • Posted 10 hours ago
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