Staff Machine Learning Engineer

Sage City; Atlanta (GA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Join a forward-thinking company as a Staff Machine Learning Engineer, where you'll be at the forefront of AI and machine learning innovation. In this hybrid role, you will collaborate with a talented team to design and implement cutting-edge solutions that empower businesses through data-driven insights. Your expertise in programming, cloud environments, and data science will be crucial as you develop robust systems and mentor fellow engineers. This is an exciting opportunity to contribute to transformative projects in a dynamic and inclusive environment that values continuous improvement and innovation.

Benefits

Flexible Work Hours

Health Insurance

Professional Development

Remote Work Opportunities

Diversity and Inclusion Programs

Qualifications

• Extensive practical experience in AI and ML.
• Expertise in programming languages and frameworks.
• Strong quantitative and analytical skills.

Responsibilities

• Design and implement AI/ML features to enhance workflows.
• Monitor and optimize model performance.
• Mentor other engineers and data scientists.

Skills

Machine Learning

Artificial Intelligence

Python

Data Manipulation

Statistical Analysis

Predictive Modeling

Big Data Processing

Cloud Environments

Education

Bachelor's Degree in Computer Science

Degree in Statistics

Degree in Applied Math

Tools

AWS

Azure

GCP

MLFlow

Kubeflow

Sagemaker

Pycharm

HuggingFace

Spark

Job description

Job Details: Staff Machine Learning Engineer

Full details of the job.

Job Title

Staff Machine Learning Engineer

Job Description

Sage AI is a nimble team within Sage, building innovative services and solutions using generative AI and machine learning to turbocharge our users' productivity. The Sage AI team builds capabilities to help businesses make better decisions through data-powered automation and insights.

We are currently hiring a Staff Machine Learning Engineer to help us build machine learning solutions that will provide insights to empower businesses and help them succeed. As part of our cross-functional team including data scientists and engineers, you will help steer the direction of the company’s Artificial Intelligence and Machine Learning initiatives.

This is a hybrid role – three days per week in our Atlanta or Lawrenceville office.

If you share our excitement for applying artificial intelligence and machine learning, value a culture of continuous improvement and learning, and are excited about working with cutting-edge technologies, apply today!

You will:

1. Design and implement product features and services that use AI and ML to augment and simplify our customers' workflows
2. Develop our internal ML platform to support our machine learning systems and our own efficiency
3. Monitor and optimize the quality and performance of our models, services, and tools
4. Collaborate with our AI Platform team to extend the capabilities of our machine learning platform
5. Design and write robust production-quality code to support our machine learning systems
6. Build and operate pipelines for accessing and enriching data for machine learning
7. Train, tune, and ship models
8. Mentor other ML engineers, software engineers, and data scientists in best practices
9. Work with product managers and data scientists to translate product/business problems into tractable machine learning solutions

Key Responsibilities

You have:

• Keen interest in artificial intelligence and machine learning with extensive practical experience
• Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS)
• Extensive experience with cloud environments (AWS, Azure, GCP)
• Ability to write highly performant code working with big data
• Bachelor’s degree, preferably in a field that strongly uses data science/machine learning techniques (e.g., computer science/engineering, statistics, applied math)
• Fluency in data fundamentals: SQL, data manipulation, statistics, experimentation, and predictive modeling
• Strong quantitative and analytical skills with significant experience with data science tools
• Ability to communicate complex ideas in machine learning to non-technical stakeholders

You may have:

• Experience with ML Ops frameworks — MLFlow, Kubeflow, Azure ML, Sagemaker
• Strong foundations in linear algebra, probability, or optimization
• Experience in finance and operations domains
• Deep experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent
• Experience wrangling complex and diverse data to solve real-world problems

What it's like to work here:

You will work in an environment where ML engineering is central. Our products are innovative, and we focus on providing the best environment for problem-solving, collaboration, and software excellence. Our distributed team is diverse, promotes open contributions, and invests heavily in staff. We are talented, capable, and inclusive, committed to great teamwork and innovation.

Additional Information

#LI-BJ1

Function

Product

Country

United States

Office Location

Atlanta

Work Place type

Hybrid

Advert

Working at Sage means supporting millions of small and medium-sized businesses globally with technology to work faster and smarter. We leverage AI to reduce routine tasks, allowing business owners to focus on their ambitions.

Our colleagues are the best of the best. We aim to infuse Sage with innovative, barrier-breaking talent. 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 all backgrounds, identities, beliefs, and ways of working. For support applying, contact [e-mail]. Learn more about DEI at Sage: sage.com/en-us/company/careers/diversity-equity-and-inclusion/