
About Parafin
Empowering SMBs with embedded finance solutions
Key Highlights
- $190 million raised in Series B funding
- Offers loans from $500 to $10 million
- Headquartered in SoMa, San Francisco, CA
- Targets the SMB market, addressing post-pandemic funding gaps
Parafin is a fintech platform headquartered in SoMa, San Francisco, CA, focused on providing embedded financial services for SMBs. With $190 million raised in Series B funding, Parafin enables platforms to offer loans ranging from $500 to $10 million, targeting the underserved SMB market where acces...
🎁 Benefits
Parafin offers a comprehensive benefits package including unlimited PTO, health, dental, and vision insurance, a 401k plan, parental leave, mental hea...
🌟 Culture
Parafin fosters a culture centered on innovation and accessibility, driven by a mission to democratize growth capital for SMBs. With a team that inclu...
Skills & Technologies
Overview
Parafin is seeking a Senior Software Engineer for their ML Platform to design and maintain scalable systems for machine learning applications. You'll work with Python and AWS, focusing on model experimentation and deployment. This role requires significant experience in software engineering and machine learning.
Job Description
Who you are
You have 5+ years of experience in software engineering, with a strong focus on building scalable systems that support machine learning applications. Your expertise in Python allows you to develop robust solutions for model experimentation and deployment, ensuring high reliability and performance. You are familiar with cloud platforms, particularly AWS, and understand how to leverage their services for machine learning workflows. Your experience with containerization technologies like Docker and orchestration tools such as Kubernetes enables you to create efficient and maintainable deployment pipelines. You are a collaborative team player who enjoys working closely with data scientists and other engineers to deliver impactful solutions for small businesses. You are committed to continuous learning and improvement, always seeking to enhance your skills and knowledge in the rapidly evolving field of machine learning.
Desirable
Experience with machine learning frameworks such as TensorFlow or PyTorch is a plus, as it will help you contribute to the development of advanced ML models. Familiarity with data pipeline tools like Apache Airflow can also be beneficial in streamlining the data processing workflows that support your applications.
What you'll do
In this role, you will lead the evolution of Parafin's ML Platform, focusing on building reliable and developer-friendly systems for model experimentation, training, evaluation, inference, and retraining. You will design and implement scalable architectures that support the deployment of machine learning models, ensuring they can handle the demands of real-time applications. You will collaborate with cross-functional teams to define requirements and translate them into technical specifications, ensuring that the systems you build meet the needs of the business and its partners. You will also be responsible for monitoring the performance of deployed models, identifying areas for improvement, and implementing solutions to enhance their effectiveness. As a senior member of the team, you will mentor junior engineers, sharing your knowledge and best practices to foster a culture of learning and growth within the organization.
What we offer
Parafin offers a competitive salary range of $230k to $265k, along with equity grants that allow you to share in the company's success. We provide comprehensive medical, dental, and vision insurance to ensure you and your family are well taken care of. Our work-from-home flexibility allows you to maintain a healthy work-life balance, and our unlimited PTO policy encourages you to take the time you need to recharge. Additional benefits include commuter assistance, free lunches, paid parental leave, and a 401(k) plan to help you save for the future. Join us in our mission to empower small businesses with the financial tools they need to thrive.
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