Machine Learning Engineer (Boston)
Description For Machine Learning Engineer (Boston)
Lendbuzz is revolutionizing financial access through innovative technology, focusing on providing underserved and overlooked borrowers with better credit opportunities. We're seeking a Machine Learning Engineer to join our diverse and inclusive team, where independent and critical thinking are highly valued.
The role combines technical expertise in machine learning with practical implementation skills. You'll be responsible for building and maintaining robust ML systems that deliver tangible value to users. The position requires expertise in developing scalable code and integrating systems across teams, with a strong emphasis on continuous learning and process improvement.
Working at Lendbuzz, you'll collaborate closely with infrastructure teams on end-to-end pipeline design and deployment, ML model integration, and ensuring high-quality releases. The ideal candidate should be passionate about their craft and capable of maintaining high standards in both development and testing.
The company culture is built on core values including diversity as a competitive advantage, compassion as a strength, and simplicity as a key feature. We prioritize honesty and transparency in all interactions and are committed to extending financial opportunities to everyone.
This hybrid position in Boston offers a competitive salary range of $110,000 - $140,000 annually. The role requires a Masters degree with 3+ years of industry experience, strong knowledge of machine learning technologies, and expertise in Python and related tools. If you're passionate about using technology to make financial services more accessible and fair, while working in a collaborative, diverse environment, this role presents an excellent opportunity for growth and impact.
Responsibilities For Machine Learning Engineer (Boston)
- Build machine learning and deep learning models based on financial data, images, and text
- Devise new research methods to solve bleeding edge problems
- Conduct in-depth analysis of machine learning models
- Collaborate with cross-functional teams to integrate ML models into production
- Design and develop robust ML pipelines and systems
- Implement end-to-end solutions including architecture design
- Drive adoption of rigorous testing practices
- Stay updated with advancements in machine learning
Requirements For Machine Learning Engineer (Boston)
- 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 ML libraries
- 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
- Fluency on the Linux command-line, including utilities and use of git
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