Job Title
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, SagemakerStrong 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.Plenty of perks :
Competitive salaries that landed us top 5% of similar sized companies (according to Comparably)Comprehensive health, dental and vision coverage401(k) retirement match (100% matching up to 4%)32 days paid time off (21 personal days, 10 national holidays, 1 floating holiday)18 weeks paid parental leave for birth, adoption or surrogacy offered 1 year after start date5 days paid yearly to volunteer (through Sage Foundation)5,250 tuition reimbursement per calendar year starting 6 months after hire dateSage Wellness Rewards Program ($600 wellness credit and $360 fitness reimbursement annually)Library of on-demand career development options and ongoing training offeringsWhat it's like to work at Sage :
Careers homepage - https : / / www.sage.com / en-us / company / careers /
Glassdoor reviews - https : / / www.glassdoor.com / Reviews / Sage-Reviews-E1150.htm
LinkedIn page - https : / /
