About Us

Hello, we're Augeo. We decode what moves people. For 27 years, we've helped enterprises build meaningful connections with everyone who matters to them: the people who work for them, buy from them, show up for them and talk about them. We serve hundreds of clients, including nearly 100 Fortune 500 companies, reaching millions of people every day.

Everything we do is powered by THEO, our agentic AI operating system for engagement. THEO brings together signals from across a person's world, from how they engage with a brand to what they care about and what's happening in their life, and turns them into experiences that feel made for one person, millions at a time. AI is part of how every team here works, and whatever your role, you'll help shape where our products go next and how we bring them to market.

Our people own their work, learn from each other and grow as fast as our technology does. We care to our core about our clients, our teams and each other. Everyone is welcome here, and we want you to bring your whole self to work. Come build what's next with us.

Summary

THEO, Augeo's agentic AI operating system, powers personalized loyalty and engagement for programs reaching tens of millions of users. Always on, context-aware, and extensible by design, the platform delivers an "Audience of One" experience where every interaction makes the system smarter. We are hiring a Senior Machine Learning Engineer to own and build the machine learning and analytics that improve loyalty and reward redemptions for our B2B Fortune 500 clients. THEO Reward capabilities already power personalized reward search, discovery, and redemption in client marketplaces. You will own the models, ranking, and measurement behind that work, and you will be accountable for whether they move redemption and engagement in production. 

This is not a research-only role, and it is not a proofs-of-concept role. You will ship systems that run at scale: train them, evaluate them honestly, put them in production, watch them, and keep improving them through rapid iteration. You will work closely with product and data engineering teams across the company to decide what needs to be built. You will then own the path from that decision through design, implementation, tests, deployment, and outcomes. THEO is Augeo's primary strategic initiative, and this role is central to it. If you want to own production ML that changes how Fortune 500 loyalty programs perform, this is the role.

Key Responsibilities

• Own the ML systems that help members find and redeem the right rewards (retrieval, ranking, personalization, and production serving), directly shaping how Augeo's clients engage tens of millions of users
• Own the analytics and experimentation around those systems: define the metrics, design the tests, read the results, and decide whether a model ships, iterates, or gets killed based on redemption and engagement, not offline model scores alone
• Build and operate production ML end to end: data pipelines, training, evaluation, deployment, monitoring, fallbacks, and latency
• Improve loyalty and reward program outcomes for B2B Fortune 500 clients across industries such as finance, healthcare, telecom, and commerce
• Partner with product, AI Architects, and engineers across Augeo to understand needs, close feedback loops, and iterate on models with real usage data
• Set the technical bar for how Applied AI trains, evaluates, ships, and monitors models, including how we measure lift against a real baseline
• Shape the team by participating in hiring and helping define the culture of an engineering team that is AI-native by design

What Sets You Up for Success

Required Qualifications

• 4+ years of experience building machine learning systems, with a clear record of shipping models to production and operating them at scale
• Demonstrated ownership of an ML system end to end: from defining what to build through training, evaluation, deployment, and production operations
• Strong software engineering skills: you write production-quality code, design APIs and data pipelines, and are comfortable with distributed systems, not only in notebooks
• Experience designing and reading experiments and analytics: online tests, metric definitions, and honest assessment of whether a change caused the outcome you care about, including when offline ranking gains don't show up as online lift
• A builder's mindset with high agency: you've shipped through sparse data, long-tail catalogs, cold start, and noisy measurement, and you want to build something new, not just maintain a legacy system
• Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, or similar) to raise the quality and ambition of what you ship, not just the speed
• Ability to work autonomously with minimal direction in a flat, fast-moving team

Preferred Qualifications

• Experience with recommendation systems, ranking, or personalization
• Experience in ecommerce, marketplaces, or other catalog-based products
• Experience with loyalty, rewards, or engagement platforms
• Experience with large-scale user or item data, including sparse or long-tail interaction patterns
• Familiarity with causal measurement methods such as holdout tests, uplift modeling, or sequential testing
• Familiarity with Python for ML and AWS
• Background that spans ML and data science: predictive models, forecasting, or optimization

Benefits of joining team Augeo

• Medical, dental, and vision coverage, plus virtual care resources
• HSA and FSA options
• 401(k) with company match and financial planning resources
• Paid life and long-term disability insurance
• PTO plus 13 paid holidays
• Education reimbursement and career growth opportunities
• A flexible hybrid work environment

Augeo is an equal opportunity employer committed to diversity and inclusion in the workplace.