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Staff Machine Learning Engineer

Job Description:

Who We Are

Sage AI is a dynamic, innovative team at Sage, crafting cutting-edge solutions with generative AI and machine learning to supercharge business productivity. Our mission is to empower businesses with intelligent insights and automation to help them thrive.

We’re seeking a Staff Machine Learning Engineer to play a key role in shaping our AI/ML initiatives. Partnering with data scientists and engineers, you’ll contribute to building transformative products that make data work smarter for our users.

Why Join Us

• Work on groundbreaking AI/ML products at the forefront of innovation.

• Collaborate with a global, diverse, and inclusive team of experts.

• Thrive in a culture of continuous learning and open-source contributions.

This role is hybrid - three days a week in our Atlanta office.

Key Responsibilities:

What You'll Do

• Design and deliver AI/ML-powered features that simplify workflows and enhance productivity.

• Build and optimize ML platforms and pipelines for high performance and scalability.

• Train, tune, and deploy models while ensuring top-notch quality and performance.

• Mentor peers and collaborate across teams to tackle complex challenges.

• Transform business problems into actionable AI/ML solutions.

What You Bring

• 5+ years of Python, microservices, and cloud platforms (AWS, Azure, GCP).

• Experience with one or more ML Ops frameworks — MLFlow, Kubeflow, Azure ML, Sagemaker

• Strong background in data science fundamentals: SQL, statistics, predictive modeling, and experimentation.

• Bachelor’s degree in computer science, applied math, or a related field.

• Exceptional problem-solving and communication skills.

Nice to Have

• Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent.

• Deep knowledge of algorithms, probability, and optimization techniques.

Function:

Product

Country:

United States

Office Location:

Atlanta

Work Place type:

Hybrid

Advert

Working at Sage means you’re supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions.

Our colleagues are the best of the best. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential.

Learn more about working at Sage:sage.com/en-us/company/careers/working-at-sage/

Watch a video about our culture:youtube.com/watch?v=h1-vs3zIpnc

We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out atcareers@sage.com.

Learn more about DEI at Sage:sage.com/en-us/company/careers/diversity-equity-and-inclusion/

Equal Employment Opportunity (EEO)

Sage is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities.

In order to provide equal employment and advancement opportunities to all individuals, employment decisions at Sage will be based on merit, qualifications, and abilities. Sage does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, protected disability, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable law.