We are seeking a Software Engineer (Data/ML Platform) to join our San Francisco team. This role focuses on building and optimizing the foundational systems for our data-centric AI solutions. If you are passionate about working with data and machine learning, this position is designed for you.

Our company aims to democratize AI by prioritizing a data-centric approach. We develop open-source algorithms and no-code SaaS solutions to help teams curate high-quality datasets, enabling reliable training for AI systems. By addressing the challenges of real-world data, we provide tools that enhance trust and safety in AI applications.

As a Software Engineer (Data/ML Platform) , your primary responsibility will be to develop the data and ML systems that power our intuitive web application. You will work closely with data scientists and machine learning engineers to translate innovative algorithms into functional systems. Your contributions will be critical in ensuring our platform operates efficiently and effectively.

What We Can Offer You:

• Competitive salary and benefits package.
• Opportunity to work with cutting-edge data and ML technologies.
• Flexible work environment with in-office collaboration three days a week.
• A culture that values grit and rapid learning.

Key Responsibilities:

• Productionize algorithms developed by the ML team, focusing on data ingestion, processing, ML training, and inference.
• Optimize code for performance, scalability, security, and reliability.
• Ideate and prototype novel features based on ongoing research.
• Collaborate with cross-functional teams to integrate user feedback into product improvements.

What We’re Looking For:

• Proven track record of shipping high-quality code in complex projects.
• Strong programming skills, particularly in Python and associated libraries (e.g., Polars, Arrow, Pandas, NumPy, scikit-learn).
• Ability to thrive in a fast-paced environment and adapt to changing priorities.

In this role as a Software Engineer (Data/ML Platform) , you will be part of a collaborative team that values both skill and learning potential. We evaluate each application based on unique contributions, such as open-source projects, impactful research, or significant achievements in past roles. If you are ready to leverage your expertise in building innovative data systems, we encourage you to apply.