Senior Software Engineer/ ML Engineer
Selby Jennings is working with a unicorn status Series D fintech startup that is revolutionizing the $1 trillion credit card industry by leveraging home equity. Their flagship product is the world's lowest APR credit card, secured by home equity. And since its launch, they have issued over $1.5 billion in credit lines and saved our cardholders over $100 million in interest payments. They are also pioneering the concept of a "Machine Bank," a transformative approach to consumer finance that leverages technology to drastically reduce the cost of capital.
They are a well-capitalized team, having raised over $250 million in equity funding, with current valuation of $1.5 billion and are backed by top-tier investors including Founders Fund, Khosla Ventures, and Sequoia. Our team comprises former executives from Square, Microsoft, Facebook, Discover, CapitalOne, and Goldman Sachs.
Looking to hire exception Senior/Staff Software Engineers and Machine Learning Engineers across their team:
Senior Software Engineer
Role Overview
As a Senior Engineer, you will play a pivotal role in building and scaling our innovative financial products. You will work on complex systems, from performance optimization of web applications to debugging race conditions across client/server boundaries. Your responsibilities will also include architecture design, code reviews, and contributing to the overall technical strategy.
Key Responsibilities
- Develop and maintain scalable and high-performance systems for their financial products.
- Collaborate with cross-functional teams to design and implement new features.
- Troubleshoot and resolve complex technical issues across various platforms.
- Lead technical initiatives and mentor junior engineers.
- Contribute to the continuous improvement of development processes and best practices.
Qualifications
- Proven experience in software engineering, with a strong background in building and scaling complex systems.
- Proficiency in Python, Java or C++
- Experience with financial systems or fintech products is a plus.
- Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.
- Excellent communication skills and a passion for innovation.
Machine Learning Engineer
Role Overview
As a Machine Learning Engineer, you will be instrumental in developing and deploying machine learning infrastructure and models that power their innovative financial products. You will work on a variety of challenges, from risk assessment and pricing optimization to automating back-office processes, all while ensuring that our solutions are scalable, efficient, and customer-centric.
Key Responsibilities
- Design, develop, and deploy machine learning models for various applications, including risk management, pricing optimization, and document automation.
- Collaborate with cross-functional teams to integrate machine learning solutions into products and services.
- Monitor and maintain the performance of deployed models, ensuring they remain effective and accurate over time.
- Continuously improve machine learning workflows and infrastructure to support rapid iteration and scaling.
- Stay abreast of the latest developments in machine learning and AI, applying new techniques and methodologies to enhance their offerings.
Qualifications
- Master's or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
- Proven experience in developing and deploying machine learning models in production environments.
- Proficiency in programming languages such as Python, with experience in machine learning frameworks like PyTorch, TensorFlow, or JAX.
- Strong understanding of machine learning algorithms, data structures, and software architecture.
- Familiarity with cloud platforms (e.g., AWS) and data storage solutions (e.g., PostgreSQL).
- Excellent problem-solving skills and the ability to work effectively in a collaborative, fast-paced environment.
They are redefining the banking experience by combining the power of technology with the value of homeownership, creating a new paradigm in consumer finance that is more accessible, affordable, and efficient.
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