Machine Learning Engineer

Austin, TX

Applications have closed
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Bluevine's Business Checking, Bill Pay, and Line of Credit are built for small businesses like yours. Better business banking solutions, made simple.

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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!

This is a hybrid roleAt Bluevine, we pride ourselves on our collaborative culture, which we believe is best maintained through in-person interactions and a vibrant office environment. All of our offices have reopened in accordance with local guidelines, and are following a hybrid model. In-office days will be determined by location and discipline.


As a Machine Learning Software Engineer in our team, you will shape and own the ecosystem that productizes our core data products - you will work closely with our Data teams and influence how data is consumed and integrated throughout the organization, take an integral part on the designing of new ML solutions, find innovative solutions for real-time analytics, and build complex data pipelines.


  • Support BlueVine’s business and research teams by designing and developing data-centric infrastructure tools to facilitate and enhance Data Analytics and Research, both in real-time and offline.
  • 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.
  • Work closely with BlueVine’s Data Science and Data Analytics teams.
  • 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.


  • 2+ years of experience as an engineer/big-data developer in a fast-paced environment.
  • 2+ years of hands-on experience programming in Python.
  • Exceptional communication skills, ability to collaborate smoothly with and convey complex ideas in a clear way to people of different backgrounds.
  • A quick learner, adaptable and have the ability to work independently or as part of a team in a fast-paced environment.
  • Ability to quickly and independently learn new technologies, frameworks, and algorithms.
  • Proactive, result-driven and multi-tasker; creative but committed to meeting deadlines.

Nice to haves:

  • BSc/BA in Computer Science or related field.
  • Experience with AWS ecosystem, microservices and container technology (e.g. Docker, K8S).
  • Experience with building Big Data pipelines and using tools and frameworks such as Spark, Hadoop, etc.
  • Experience working Python ML libraries (e.g. Pandas, Numpy, Scikit Learn).
  • Experience working with git in a github setup and Jenkins based CI/CD

BENEFITS AND PERKS - for employees located in the US

  • Excellent health coverage and life insurance benefits
  • 401K with an immediate 3% company match 
  • PTO, Company Holidays, and Flexible Holidays
  • Company-sponsored Mental Health Benefits, including 1:1 therapy
  • Over $1,000 annually for a wellness benefit of your choice
  • Monthly WFH stipend
  • Generous, paid parental leave covering up to 16 weeks
  • Access to financial coaches and education sessions
  • Free commuter benefits - Caltrain passes for San Francisco employees and a monthly parking allowance
  • Monthly DoorDash credit
  • Weekly catered lunches and fully stocked kitchen pantries
  • Dog-friendly Redwood City, CA office
  • Community-based volunteering opportunities 

BENEFITS & PERKS - for employees located in Israel 

  • Excellent group health coverage and life insurance benefits
  • Stock options
  • Flexible hybrid work model
  • Large Study Fund contribution
  • Salary Benchmarks and Checkpoints 
  • Monthly meal card of TenBis or CiBus (your choice) with generous balance
  • Free parking for cars, scooters, and bikes
  • Free gym membership
  • Company-sponsored Mental Health Benefits
  • PTO, Company Holidays, and Flexible Holidays
  • Community-based volunteering opportunities

* Salary range is an estimate based on our salary survey 💰

Tags: Airflow AWS Banking Big Data CI/CD Computer Science Data Analytics Data pipelines Docker Git GitHub Hadoop Machine Learning Microservices NumPy Pandas Pipelines Python R R&D Research SageMaker Scikit-learn Security Spark

Perks/benefits: 401(k) matching Career development Equity Fitness / gym Flex hours Flex vacation Health care Lunch / meals Parental leave Pet friendly Snacks / Drinks Wellness

Region: North America
Country: United States
Job stats:  10  3  0

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