Senior ML Software Engineer

Greater Giving, Inc.; Atlanta (GA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical coverage and wellbeing support

Base salary plus bonuses

Paid time off and holidays

Job summary

Greater Giving, Inc. is looking for an experienced Senior ML Software Engineer in Atlanta, Georgia. In this role, you will lead software engineering efforts for high-profile ML products, collaborate heavily with cross-functional teams, and ensure operational excellence.

Your responsibilities include developing and delivering features, overseeing ML products, and mentoring junior engineers. Applicants should have a minimum of 5 years’ experience in ML engineering with strong Python skills and familiarity with AWS cloud services.

The position offers competitive medical benefits, salary, bonuses, and an inclusive work environment.

Qualifications

• 5+ years of experience as an ML-focused software engineer or similar.
• Hands-on production experience in ML model deployment.
• Strong Python programming skills and relevant ML libraries.
• Familiarity with monitoring and optimizing production ML systems.

Responsibilities

• Design and implement new features for ML products.
• Oversee the technical ownership of existing ML products.
• Maintain operational excellence and CI/CD pipelines.
• Provide mentorship and support to junior engineers.

Skills

Machine Learning model deployment

API design

Python programming

Containerization

AWS cloud services

CI/CD pipelines

Monitoring production systems

Communication skills

Tools

MLFlow

DynamoDB

Terraform Cloud

Job description

Location: Atlanta, Georgia, United States

Make your mark at one of the biggest names in payments.

We are seeking an experienced Senior ML Software Engineer to join our Data Science Enablement team. You will be the primary software engineering expert for a product area, working as part of a cross-functional agile team and owning the successful launches and ongoing operations of high-profile products in production. Your focus will be on driving new feature delivery, maintaining operational excellence, and collaborating on enhancements to our shared ML platform. You will work closely with cross-functional collaborators—including ML research engineers, product managers, and platform engineers—to deliver scalable, reliable, and low-latency ML solutions.

In addition to technical expertise, this job requires strong collaboration skills.

What you’ll own

• Feature Development & Delivery: Design, implement, and deploy new features and enhancements to ML products, collaborating with Product and ML Research teams to refine requirements.
• Technical Ownership and Stewardship: Technical ownership of existing and new production ML products in your area, ensuring alignment of technical investments with business goals (in collaboration with a product owner) and engineering best practices.
• End-to-end technical stewardship of ML products, ensuring ongoing reliability and performance.
• Contribute to ML platform: Contribute to the evolution of the shared ML platform alongside other engineers to drive best practices and shared tooling across all products.
• Operational Excellence: Maintain and improve automated CI/CD pipelines, testing frameworks, and monitoring/logging, ensuring high operational standards. Conduct comprehensive code reviews to enforce coding standards, improve code quality, and share knowledge. Identify and implement opportunities for process, tooling, and system improvements, proactively addressing technical debt and scaling challenges.
• Release Management: Oversee pre-release testing, coordinate releases and ensure smooth enablement of new features.
• Leadership: Provide technical guidance and support to other engineers and data scientists to solve complex technical challenges. Mentor and coach other engineers, supporting their professional growth. Foster a culture of collaboration, continuous improvement, and knowledge sharing.
• Act Like an Owner: Proactively identify and resolve blockers, navigate processes, and independently seek out information and connect with relevant teams to drive solutions in the face of ambiguity. Operate with a strong sense of urgency, consistently prioritizing and executing tasks to meet timelines and deliver results.

What you’ll bring

• 5+ years as an ML-focused software engineer, ML Engineer, MLOps Engineer, or similar, with hands-on production experience
• Proven expertise with ML model deployment, API design, and integration into production environments
• Strong Python programming and relevant ML/data libraries
• Experience with containerization, orchestration, and AWS cloud services
• Building and operating CI/CD pipelines
• Monitoring, troubleshooting, and optimizing production ML systems
• Pre-release testing and release management
• Demonstrated ability to work independently, navigate ambiguity, and deliver results
• Excellent communication skills and ability to collaborate both within engineering organizations and on cross-functional teams
• Experience with OpenAPI, FastAPI, or similar

It’s a bonus if you have

• Experience with MLFlow, model versioning, and storage
• Familiarity with Databricks or similar platforms
• Automated testing and validation frameworks
• Experience designing and configuring low-latency databases to serve real-time features, such as DynamoDB
• Experience with Terraform Cloud
• Experience in large companies, mature engineering teams, and/or highly regulated industries
• AI-assisted coding experience (e.g. GitHub Copilot)

Why Join Us?

• Impact: Play a key role as the technical owner of high-profile ML products delivering meaningful business impact to merchants and advancing key pillars of the company’s strategy. Your work will directly influence the reliability, scalability, and evolution of critical production systems.
• Autonomy: Take end-to-end technical ownership of your product area, with the freedom and responsibility to drive technical solutions, shape best practices, and deliver results in a fast-paced, supportive environment.
• Collaboration: Join a cross-functional, high-performing team where your expertise is valued and your contributions make a real difference.

Benefits

• Medical coverage and wellbeing support for you and your family
• Base salary plus bonuses and/or equity awards, determined by role, level, impact, and policies
• Paid time off and holidays