Compa · 3 hours ago
Software Engineer, Applied AI
Compa is a venture-backed SaaS startup revolutionizing the future of compensation. As an Applied AI Engineer, you will lead projects across Compa’s product suite, focusing on delivering machine learning features and building ML infrastructure to support enterprise customers.
Enterprise SoftwareHuman Resources
Responsibilities
Ship ML features and services that enable the world’s best companies to make smarter pay decisions
Lead ML-based projects from end-to-end: scoping and planning, data collection and feature engineering, model training and deployment, backend implementation, and online experimentation
Prototype ML solutions in close collaboration with product and engineering teams, iterating rapidly based on customer feedback and business requirements
Build Compa’s ML infrastructure from the ground up: develop models, establish deployment pipelines, and manage production systems that serve enterprise customers as well as internal operations
Drive technical excellence and establish ML best practices across the team
Qualification
Required
4+ years of industry experience building and deploying ML models to solve real-world problems and deliver measurable business value
Hands-on experience with classification, embeddings, natural language processing, and large language models
Proficiency in Python, SQL, Git, and common ML frameworks (scikit-learn, XGBoost, PyTorch, or similar)
Gumption — experience working at early-stage startups
Preferred
Experience with NLP techniques such as sentence transformers or semantic similarity
Experience with model serving frameworks (FastAPI or similar)
Familiarity with experiment tracking tools (MLflow or similar)
Experience with data pipeline technologies (Prefect or similar)
Experience with cloud platforms (AWS, GCP, Azure, etc.)
Comfortable with Docker and basic CI/CD workflows
Company
Compa
Compa is making compensation fair and competitive for everyone by removing barriers to effective decision-making.
Funding
Current Stage
Growth StageTotal Funding
$13.9MKey Investors
Storm VenturesBase10 Partners
2023-08-15Series A· $10M
2021-08-26Seed· $3.9M
Recent News
2025-09-09
Morningstar.com
2025-09-08
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