Staff Software Engineer, Machine Learning

San Francisco Bay Area

Full-Time

On-site

Email us at “jobs@stateaffairs.com”

About Us

At State Affairs, we’re on a mission to redefine how state government is covered—delivering trusted, nonpartisan news and insights that matter. We don’t just report what’s happening; we provide the critical context and technology that help decision-makers act. Think of us as the digital town hall for democracy. Our platform informs, empowers, and drives actions at the state level. And just like the democracy we cover, we value diverse perspectives, ensuring our work reflects the full spectrum of voices shaping state policy. This product-driven growth role requires a mix of marketing, data analysis, and product thinking.

Who We’re Looking For

What You’ll Own

Lead the team to deliver state-of-the-art Machine Learning solutions for the most complex problems customers are facing on the platform
You will scale distributed applications, make architectural trade-offs applying synchronous and asynchronous design patterns, write code, and deliver with speediness and quality.
Work on the design and development of Machine Learning Models for complex web applications, ensuring adherence to best practices and architectural standards.
Provide technical leadership and mentor junior research engineers in utilizing advanced machine learning techniques for critical business problems
Develop next-gen algorithms to understand visual content and textual content and customer interactions on State Affairs
Develop state-of-art text/image/video/graph classification models scaling to millions of content and thousands of categories
Develop state-of-art supervised and semi-supervised models scaling to hundreds of millions of sources and their content
Own end-to-end model development and deployment at scale
Represent State Affairs in academic and industry circles by showcasing our innovation, data products and scientific expertise in bringing game-changing data products to market
Stay abreast of emerging technologies and industry trends, evaluating their potential impact on our technical stack and business strategy.

You’ll Love This Role If…

You’ll Hate This Role If…

What You’ve Probably Done

MS/PhD Degree in Computer Science or related technical or quantitative discipline, or equivalent practical experience
10+ years’ experience in machine learning, artificial intelligence, and ML algorithm related solutions
10+ years of experience in large scale machine learning modeling both from scale of operation and scale of the models
10+ years of Experience in end-to-end model development life cycle spanning (but not limited to) data sampling, model training, deployment and performance evaluation
5+ years of experience in at least one of the following areas: Computer vision, Image processing, Machine Learning, Statistical modeling/inference, Data mining, NLP, Graph/geometric deep learning, Large Language Models, Generative AI
Working knowledge of leveraging cloud based infrastructure – AWS, Azure, Google Cloud or similar for ML based application development
5+ years in an architect or technical leadership position
Experience in pre-training/fine tuning of large language models including the recent generative set models
Expertise in one or more of the following: machine learning, data mining, security data science, advanced statistics, internationalization, information retrieval, natural language processing or Generative AI.
Understanding of security best practices and compliance standards.

Why You Should Consider Joining Us

Equal Opportunity Employer

At State Affairs, we are committed to building a diverse and inclusive team that reflects the communities we serve. We welcome and encourage applicants from all backgrounds, experiences, and perspectives—regardless of race, gender, sexual orientation, age, disability, or veteran status. We believe that different voices drive better decisions and innovation, and we are dedicated to fostering an environment where everyone feels valued, respected, and empowered to contribute.

Email us at “jobs@stateaffairs.com”

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