Applied AI/ML Scientist

Summary

Join Sprout Social's Data Science and AI team as a Senior Applied AI/ML Scientist and contribute to the development and deployment of AI-powered features that enhance the company's products and services. You will lead the design and implementation of AI/ML solutions, collaborate with stakeholders, and ensure alignment between technical possibilities and product vision. This role requires extensive experience in AI/ML, data science, and model development, along with a strong understanding of analytical, statistical, and AI/ML methods. You will be responsible for delivering tangible impact on Sprout Social's highest priority corporate goals, improving customer experiences, and driving business growth.

Requirements

• 5+ years of experience in AI/ML and data science, working with technical and non-technical stakeholders
• 5+ years of experience developing models in Python using ML frameworks (e.g. PyTorch, TensorFlow, XGBoost, LGBM, NumPy, pandas) and strong proficiency in SQL and RESTful APIs for querying, transforming, and analyzing large datasets to drive product vision
• Broad and deep expertise in analytical, statistical, and AI/ML methods, with a focus on product improvement, solving customer pain points, and improving user experiences
• A track record of leading development of AI/ML solutions that resulted in quantifiable business impact

Responsibilities

• Lead the design, development, and deployment of features that leverage data science, machine learning (ML), and generative AI technologies
• Deliver tangible impact on some of Sprout Social’s highest priority corporate goals, to the benefit of our customers
• Develop frameworks for evaluation and measurement of AI features to increase speed and quality of product enhancements
• Establish strong partnerships with internal stakeholders, product, design, and software engineering to help shape the product strategy and implementation of AI solutions across Sprout Social
• Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, stakeholder needs, and product vision

Preferred Qualifications

• Experience quickly prototyping with new AI/ML technologies
• Experience developing and deploying deep learning models
• Experience architecting and implementing production large language model driven features, including evaluating, fine-tuning, optimizing performance, and prompt-engineering to enhance customer journeys
• Experience building and deploying models on OpenSearch and ElasticSearch
• Experience with model services, deployment technologies, and ML-Ops practices
• Experience developing with APIs and services across platforms such as AWS, Azure, GCP, OpenAI, and Anthropic
• Experience in AI/ML model security, bias mitigation, and ethical AI/ML frameworks
• Experience with AB testing software and deploying via other experimentation techniques

Benefits

• Insurance and benefit options that are built for both individuals and families
• Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
• High-quality and well-maintained equipment—your computer will never prevent you from doing your best
• Wellness initiatives to ensure both health and mental well-being of our team
• Ongoing education and development opportunities via our Grow@Sprout program, employee-led diversity, equity and inclusion initiatives and mentorship programs for aspiring leaders
• Growing corporate social responsibility program that is driven by the involvement and passion of our team members