Job details

Machine Learning Engineer (Boston)

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’re looking for a Machine Learning Engineer who excels in building and maintaining robust systems that deliver real value to users. You’re skilled at turning functional logic into scalable code and integrating systems across teams. You embrace continuous learning, stay updated on new technologies, and drive process improvements.

At Lendbuzz, you’ll work closely with infrastructure teams to design and deploy end-to-end pipelines, collaborate on ML model integration, and ensure high-quality releases. You take pride in your craft and push the team to maintain high standards in both development and testing.

Key Responsibilities:

Build machine learning and deep learning models based on financial and other modalities like images and text
Devise new research methods to solve bleeding edge problems and get a chance to work on publishable outcome
Conduct in-depth analysis of machine learning models and pioneer research methodologies to address cutting-edge challenges
Collaborate closely with cross-functional teams to integrate machine learning models seamlessly into production systems
Design and develop robust, ML pipelines and systemsImplement end-to-end solutions, including architecture design, business logic, and deployment
Drive the adoption of rigorous testing practices, ensuring high-quality, reliable ML model releases
Stay updated with advancements in machine learning and related technologies to continuously improve our solutions

Requirements:

Masters (M.S.) with 3+ years of full time experience in industry
Strong knowledge in Computer Vision, Deep Learning, Linear Algebra, Probability, Data Structures and Algorithms
Strong knowledge of numpy, scipy, pandas, torch, scikit-learn and other Python libraries commonly used in machine learning is a must
Strong grasp of CS and ML foundation and core concepts
Experience designing and implementing APIs
Intimate familiarity with Python, PostgreSQL, FLASK, REST and Linux
Able to convert functional logic into code is a must
Fluency on the Linux command-line, including utilities (grep, find, etc.) and use of git

$110,000 - $140,000 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!

Lendbuzz Glassdoor Company Review

4.2

Lendbuzz DE&I Review

No rating

CEO of Lendbuzz

Amitay Kalmar

Approve of CEO

Average salary estimate

$125000 / YEARLY (est.)

min

max

$110000K

$140000K

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What You Should Know About Machine Learning Engineer (Boston), Lendbuzz

Lendbuzz is on the lookout for a talented Machine Learning Engineer to join our innovative team in Boston, MA. We’re passionate about creating financial solutions that are fair and personalized, giving underserved borrowers better access to credit. As a Machine Learning Engineer at Lendbuzz, you’ll be at the forefront of building and maintaining systems that truly add value. If you have a knack for translating functional logic into scalable code and thrive on integrating systems across teams, this is the perfect place for you! You'll collaborate closely with our infrastructure teams, designing and deploying end-to-end pipelines and machine learning model integrations. Your role will include developing robust ML and deep learning models, conducting in-depth analysis, and pioneering research methods to solve complex challenges. We value continuous learning and expect you to stay updated on the latest technologies while driving process improvements. Here, you can take pride in high standards for development and testing, ensuring reliable releases that our users can trust. If you're excited about utilizing your expertise in Python, computer vision, and API design to make a difference in the financial world, then Lendbuzz is the environment for you. Join us in creating impactful solutions and be a part of our diverse and inclusive culture that celebrates independent thinking and compassion!

Frequently Asked Questions (FAQs) for Machine Learning Engineer (Boston) Role at Lendbuzz

What responsibilities will a Machine Learning Engineer at Lendbuzz have?

The responsibilities of a Machine Learning Engineer at Lendbuzz include building machine learning and deep learning models, conducting in-depth analyses of these models, and collaborating with cross-functional teams to integrate them into production systems. You'll also design robust ML pipelines and implement end-to-end solutions while driving the adoption of rigorous testing practices to ensure high-quality releases.