TL;DR
Staff Software Engineer, Machine Learning: Building and optimizing an AI-enabled platform powered by generative AI with an accent on scaling to handle terabytes of data, efficiently querying in realtime, and optimizing search algorithms. Focus on crafting powerful, intuitive user experiences and shaping safe, impactful AI-driven features to solve real-world problems.
Location: Must be based in Washington, D.C. and open to working in office
Salary: $200,000 - $275,000 Annually + Benefits + Equity + Bonus
Company
hirify.global helps complex organizations solve hard problems with its AI-enabled platform, turning siloed and disconnected data into operational intelligence for better, faster decisions.
What you will do
- Deliver differentiated value to customers by crafting powerful, intuitive user experiences.
- Unlock new ways for users to interact with the platform using generative AI.
- Shape safe, impactful AI-driven features that help customers solve real-world problems.
- Scale the platform to handle terabytes of data ingested from various sources.
- Efficiently query and notify users on data in realtime.
- Optimize search algorithms to serve results quickly.
Requirements
- Understanding of best practices for using generative AI responsibly.
- Knowledge of how to train, deploy, integrate, and monitor machine learning models.
- Degree in Computer Science or a related field, or equivalent experience.
- Over 8 years of experience working with cross-functional software development teams.
- Experience shipping and iterating on production-grade software components professionally and/or in the open-source community.
- Ability to write robust, well tested, and well-designed code that frequently gets deployed to users.
- Strong best practices in modern software development and comfort navigating large codebases.
- Located in Washington, D.C. and open to working in office.
Nice to have
- Experience applying LLMs to enhance user experience.
Culture & Benefits
- Empathy improves solutions; engineers will work closely onsite to understand use cases.
- Value both ownership and collaboration, taking full responsibility for major features.
- Humility and empathy are essential for building the right solutions, collaborating directly with the deployment team and users.
- Perseverance and creativity are crucial to executing the vision.
- Committed to creating an inclusive environment and is a proud equal opportunity employer.
- Benefits + Equity (if applicable) + Bonus (if applicable).
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