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Software Engineer, Applied AI

Job in Irvine, Orange County, California, 92713, USA
Listing for: Compa
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 110000 - 220000 USD Yearly USD 110000.00 220000.00 YEAR
Job Description & How to Apply Below

Software Engineer, Applied AI

Compa

Base pay range: $/yr - $/yr

About Compa

Compa is a venture-backed SaaS startup revolutionizing the future of compensation.

We deliver real-time compensation data, providing top-tier compensation intelligence to leading enterprise teams.

Our customers include NVIDIA, Stripe, Door Dash, T-Mobile, Moderna, Workday, Ulta, Target, and more.

Locations

Headquarters:
Irvine, California. Additional sites:
Denver, Colorado and San Francisco, California.

The Role

As an Applied AI Engineer on the Engineering team at Compa, you will own and lead projects across Compa’s product suite, internal operations, and help bring a commercialized prediction service from 0 to 1.

In This Role You Will
  • Ship ML features 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 machine learning features for use in product and work with product teams and customers to iterate on requirements
  • Develop, product ionize, and operate machine learning models for use in Compa’s product suite, internal operations, and a commercialized prediction service
  • Drive technical excellence and establish ML best practices across the team
Minimum Qualifications
  • 4+ years of industry experience building and deploying ML models to solve user problems
  • Industry experience with a track record of applying practical methods to solve real-world problems
  • Experience in applied statistical and machine learning fields e.g. classification, recommendations, content understanding, natural language processing, and large language models, etc.
  • Proficiency in Python, SQL, and common ML frameworks
  • Gumption — experience working at early‑stage startups
Preferred Qualifications
  • Experience with data pipeline technologies
  • Experience with cloud platforms (AWS, GCP, Azure, etc.)
  • Exposure to agentic systems, predictive modeling, or real-time data products
Seniority level

Mid‑Senior level

type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

Compensation Range: $110K - $220K

Referrals increase your chances of interviewing at Compa by 2x

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