[Hiring] Senior Software Engineer - Machine Learning and AI @Givelify

Role Description

As a Senior Machine Learning Engineer at Givelify, you’ll design, build, and ship the models that power real-time decisions across our giving platform. This includes:

• Building systems that allow our donors to experience personalized causes.
• Helping donors become more consistent in their giving journey.
• Working on AI-based fraud detection and risk-scoring systems to protect our giving community.
• Owning problems end-to-end, framing them mathematically, and working with large-scale donor and transaction data.
• Training and evaluating models, and deploying them as reliable, low-latency production services.

Your work directly shapes how millions of donors find and support the causes they love — and protects every dollar they give.

Your Team

You’ll join our Research Engineering & Machine Learning team, a group of world-class engineers and scientists. This team tackles complex computational, machine learning, and AI problems across Givelify’s giving and fintech platforms and products.

Responsibilities

• Ensure our models operate within our value systems and never recommend that leads our donors to have a bad experience.
• Ensure donors easily connect with the organizations and causes that matter most to them.
• Help donors become the best version of themselves by helping them realize their desire to become more consistent in their giving.
• Own the production reliability and quality of our models.
• Maximize product goals while minimizing false positives and negative experiences for our giving community.

To be successful in this role, you’ll also:

• Research and prototype computational, statistical, and AI models on real-world donor datasets for various real-world problems.
• Productize machine learning systems that can generate personalized recommendations for our Donors.
• Build AI systems that can consume vast amounts of real-time data for diverse problems.
• Translate ambiguous product problems into well-posed ML formulations, including ranking, classification, and anomaly detection.
• Build and maintain end-to-end ML pipelines: feature engineering, training, evaluation, A/B testing, and deployment.
• Ship real-time inference services and work with Platform/DevOps on scalability, latency, and monitoring.
• Mentor engineers on ML best practices and raise the team’s bar for scientific rigor and code quality.

Experience

• Master’s or PhD in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics, or a STEM field, or equivalent research experience.
• 2+ years of building and deploying machine learning systems in production, ideally including at least one system serving hundreds of thousands to millions of users.
• Deep grounding in the mathematics behind ML: probability and statistics, linear algebra, optimization.
• Hands-on experience across classical ML and deep learning (e.g., gradient-boosted trees, embedding models, transformers).
• Experience with large-scale data processing (Spark, distributed training, feature stores) and modern ML tooling (PyTorch or TensorFlow, scikit-learn, MLflow or similar).
• Track record in one or more of: recommender systems, fraud/risk modeling, search ranking, or real-time classification.
• Research background publications, thesis work, or applied research is a strong plus.

Your Superpowers

• Integrity: Demonstrate congruence in thought, speech, and action.
• Problem-Solving: Resourceful and creative in solving complex issues.
• Scientific rigor: Insist on sound baselines, honest evaluation, and reproducibility.
• Ownership mindset: Carry models from whiteboard to production and stay accountable for their behavior.
• Effective Communication: Communicate frequently using clarity and appropriate methods/tools.
• Customer Focus: Adopt a human-centric approach that meets or anticipates customer needs.

Our Culture

We are a virtual team of award-winning and high-performing professionals who innovate and collaborate to fulfill our mission. Our four keys to success - integrity, heart, simplicity, and wow - fuel our passion to be recognized among the tech industry’s most inclusive and purpose-driven workplaces.

We are steadfast in our conviction to overcome challenges while performing meaningful work alongside some of the most brilliant minds and biggest hearts. We are committed to respecting each other in our workplace, firmly believing diversity is our strength.

At the heart of everything we do are our giving community, our donors and our partner organizations. We lean on research and human-centered design to consistently push the envelope and innovate our products and customer experiences.

We take great pride in providing competitive pay, full benefits to help care for you today and in the future, amazing perks (including flexible PTO), and the opportunity to put passion and purpose front and center.