SonicJobs Logo
Left arrow iconBack to search

Machine Learning Software Engineer

Lendbuzz
Posted 7 months ago, valid for 18 days
Location

Boston, Suffolk 02212, MA

Salary

$130,000 - $150,000 per year

Contract type

Full Time

By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.

Sonic Summary

info
  • Lendbuzz is seeking a talented Machine Learning Engineer with a strong background in software development and machine learning to join their team.
  • The ideal candidate should have a Master's or Bachelor's degree in Computer Science, Engineering, or a related field, along with at least 2 years of relevant industry experience.
  • Key responsibilities include collaborating with data scientists, implementing end-to-end solutions, and deploying machine learning models as scalable microservices.
  • The position offers a salary range of $130,000 to $150,000 per year, depending on experience and qualifications.
  • Lendbuzz values diversity, compassion, simplicity, honesty, and transparency in their workplace culture.

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.

\n


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


\n
$130,000 - $150,000 a year
\n

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!

 

 

Background Checks

After an offer is accepted, Lendbuzz conducts a pre-employment background check. Any evaluation of the background check will be subject to an individualized assessment, taking into account the applicant’s or employee’s specific record and the responsibilities and requirements of the particular role.

 

 

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.

 

 




Learn more about this Employer on their Career Site

Apply now in a few quick clicks

By applying, a Sonicjobs account will be created for you. Sonicjobs's Privacy Policy and Terms & Conditions will apply.

SonicJobs' Terms & Conditions and Privacy Policy also apply.