Manager, Machine Learning Engineer
About Bluevine
Bluevine is on a mission to enable a better financial future for small business owners through innovative banking solutions designed just for them. By combining best-in-class technology with advanced security and a deep understanding of the small business community, we deliver end-to-end banking and lending products that empower always-on entrepreneurs to grow their businesses with confidence.
As a dynamic company with massive potential, we’re backed by leading investors such as Lightspeed Venture Partners, Menlo Ventures, 83North, Citi Ventures, and nearly 9 years of proven success. Since launching in 2013, we have grown exponentially, amassing over 400,000 customers across all 50 states and a global team of more than 500 people. Our passion is driven by purpose: to give small businesses the tools they need to succeed and we’re just getting started.
All of this begins with our team who are driven by collaboration, problem-solving, and learning and growing together. With a commitment to innovation and community impact, our mission is to help every small business—and every team member—thrive. Join us! #LI-Hybrid
What You'll Do:
- Manage, lead and mentor a team of motivated, hardworking Python developers that support Bluevine’s business and research Data teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline.
- Help design and implement next-generation ML workloads, focusing on modern, efficient Big Data technologies.
- Use pipeline orchestration tools such as AirFlow, ML platforms such as SageMaker, and data frameworks to design and develop first-in-class solutions for the financial sector.
- Design and develop end-to-end data pipelines, from data collection, through data validation and transformation, to making the data available to processes and stakeholders.
- Work closely with Bluevine’s other R&D teams to help incorporate industry best practices, define and enforce data governance procedures, and monitor system performance
- Work with stakeholders, group managers and team leaders on planning projects and tasks
- Guide team members through code reviews, design discussions, debugging sessions, etc.
- Balance between hands-on and managerial work depending on team’s needs
What We Look For:
- Bachelors/Masters in Computer Science or related field or comparable experience.
- 8+ years of full-time work experience (not including internships, study, personal/school projects) as a Backend engineer/ML Infra engineer in a fast-paced, data-centric environment.
- 5+ years hands-on experience programming in Python in a production setting (not including internships, study, personal/school projects).
- Experience with AWS ecosystem and container technology (e.g. Docker, K8S)
- Experience leading technical projects and/or working independently
- Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
- Proactive, result-driven and multi-tasker; creative but committed to meeting deadlines.
- Quick learner with exceptional time management skills
- Excellent English, written and verbal.
#LI-MS1
#LI-Hybrid
BENEFITS & PERKS
- Excellent group health coverage and life insurance
- Stock options
- Hybrid work model
- Meal allowance
- Transportation assistance (terms and conditions apply)
- Generous paid time off plan, Holidays
- Company-sponsored mental health benefits
- Financial advisory services for both short- and long-term goals
- Learning and development opportunities to support career growth
- Community-based volunteering opportunities
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