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Posted about 2 months ago

Experienced Software Engineer - Machine Learning Infrastructure

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Job Details

  • Pay: 157,140−157,140 - 197,640 a year
  • Job type: Full-time
  • Encouraged to apply: Fair chance

Benefits

  • 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

Full Job Description

Overview

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK, and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London, and Amsterdam. #LI-Remote

The Machine Learning Platform team at Plaid is at the forefront of transforming the financial technology landscape. Specializing in developing cutting-edge machine learning products, this team plays a crucial role in advancing transaction enrichment, credit, and risk management solutions. By leveraging consumer-permissioned financial data, the team enables Plaid and its partners to craft innovative financial services that cater to the evolving needs of consumers and businesses alike.

As a Software Engineer on the Machine Learning (ML) Platforms team at Plaid, you will contribute significantly to developing the core infrastructure that powers Plaid's machine learning initiatives. Your work will support the innovation and effectiveness of ML products in areas such as transaction enrichment, credit evaluation, and risk assessment. If you're interested in building state-of-the-art AI/ML solutions to enhance financial freedom for everyone, let's chat!

Responsibilities

  • Developing Scalable ML Infrastructure: Assist in designing and developing scalable, efficient, and robust machine learning infrastructure that supports the lifecycle of ML models—from data ingestion and processing to training, evaluation, and deployment. Ensure this infrastructure can handle large-scale data and complex computations with high reliability and performance.
  • Improving ML Operations (MLOps): Innovate and implement best practices in MLOps to streamline the development, deployment, and monitoring of ML models. Automate pipelines, ensure model reproducibility, and facilitate seamless model versioning and rollout.
  • Collaborating with Cross-Functional Teams: Work closely with product managers, data scientists, and other engineering teams to understand their needs and help translate them into ML platform capabilities. Ensure that the ML infrastructure effectively supports product features and business objectives.
  • Technical Guidance and Support: Provide guidance and support to junior engineers and peers, sharing your knowledge and expertise to promote a culture of technical excellence. Help develop the team's skills and foster innovation.
  • Staying Updated with Industry Trends: Stay informed about the latest developments in machine learning, data engineering, and cloud technologies. Ensure that the ML platform remains up-to-date and competitive.

Qualifications

  • 3+ years of Software Engineering experience
  • 1+ years with Machine learning or developing machine learning platforms
  • Strong communication and architecture skills
  • Python experience and k8s experience

Compensation

  • Salary: 157,140−157,140 - 197,640 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered.
  • Benefits:
    • Comprehensive medical, dental, and vision plans.
    • 401(k) plan with company match.
    • Flexible spending accounts (FSAs).
    • Paid time off and sick leave.
    • Mental and emotional health benefits through EAP.
    • Gym and cellphone service reimbursements.

Our Mission

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid!

Equal Opportunity

Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com.