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Machine Learning Engineer

3 months ago

Austin, Texas, United States BlueVine Full time
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, were 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 were 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 businessand every team memberthrive. Join us #LI-Hybrid
Elevate the Fintech Frontier with Bluevine's Engineering Team


Our Engineering team is reimagining small business banking for the digital age, leveraging cutting-edge data science and machine learning to automate decisions, enhance fraud detection, and unearth deep insights that drive efficiency and security.


The Role and Impact:
As a Machine Learning Engineer at Bluevine, youll be at the forefront of fintech innovation.

Youll also be the Tech Lead of the team, architecting and refining scalable data pipelines and ML infrastructure that propel us ahead of the curve and set new industry standards.


Youll also collaborate with cross-functional teams, pushing the boundaries of what's possible in banking technology and ensuring small businesses have the tools they need to thrive in today's economy.


Diversity:
Our Catalyst for Innovation

At Bluevine, we understand that groundbreaking solutions stem from diverse perspectives.

Our team embodies a spectrum of backgrounds and experiences, fueling our capacity to innovate and lead in the fintech space.

We're crafting a culture where diversity isnt just celebratedits integral to our disruptive mission.

Join Us on the Journey


Are you ready to step into a role where your work not only advances technology but reshapes the very fabric of small business banking? Bluevine is calling for visionaries from all backgrounds to join our quest.

Together, we can redefine the future of finance, creating a more inclusive, efficient, and secure banking experience for small businesses worldwide.

Join us, and let's build the future of finance, together.

What Youll Do:

Lead and Innovate:


As a tech lead within the team, you'll spearhead the design, implementation, and integration of new components within Bluevines Machine Learning platform, leveraging the power of AWS infrastructure.

Your role will be pivotal in utilizing Big Data technologies to elevate our financial services, setting new standards in the industry.


Develop Data Solutions:
Support Bluevines business and research teams by designing and developing data-centric infrastructure tools. Your work will facilitate and enhance both real-time and offline processes, providing first-in-class data solutions for the financial sector.

Enhance ML Capabilities:
Design and implement advanced ML workloads with a focus on modern, efficient Big Data technologies.

You'll be responsible for developing end-to-end data pipelines, from data collection through to data validation and transformation, ensuring data is accessible to stakeholders and processes.


Collaborate and Guide:


Work closely with Bluevines Data Science and Data Analytics teams, as well as with Bluevines R&D teams, to incorporate industry best practices, define and enforce data governance procedures, and monitor system performance.

Your role will not only involve technical leadership but also cross-functional collaboration to drive the companys data strategy forward.

Mentorship:
Serve as a mentor to less experienced team members, guiding them in their professional development.

Your expertise will make you a source of knowledge and inspiration within the team, helping to nurture the next generation of tech talent at Bluevine.


Lead by Example:


Your leadership will include hands-on development work, showcasing your technical skills, and setting a high standard for code quality, innovation, and problem-solving.

Your ability to lead projects, make strategic decisions, and mentor others will be key to our team's success.

What we look for:

8+ years of experience in machine learning engineering and or big data development

Excellent coding skills in Python

Familiarity with ML technologies

Proficiency in the AWS ecosystem, especially SageMaker, and familiarity with Big Data frameworks like Flink, Spark, or Hadoop.

Exceptional communication skills and a talent for breaking down complex concepts across diverse teams.

Ability to quickly and independently learn new technologies, frameworks, and algorithms.

Collaborative team member who excels in a dynamic environment where priorities shift quickly.

An autonomous learner with a knack for quickly mastering new technologies.

A proactive, creative problem-solver who's adept at juggling multiple tasks and meeting tight deadlines.

Bonus points if you also have:

BSc/BA in Computer Science or related field

Experience with container technologies (e.g. Docker, K8s)

Experience with streaming and real-time analytics systems

Experience with Python Data/ML libraries (e.g. Pandas, Numpy, Scikit Learn)

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

Weekly catered lunches and fully stocked kitchen pantries

Community-based volunteering opportunities

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