Senior Applied AI/ML Scientist

Summary

Join Sprout Social's Data Science and AI team as a Senior Applied AI/ML Scientist and lead the development and deployment of customer-centric AI/ML features. You will deliver measurable impact on high-priority AI initiatives, build robust evaluation frameworks, and collaborate with cross-functional teams. Effectively communicate AI capabilities and limitations to ensure alignment with customer needs and product vision. The ideal candidate possesses extensive experience in AI/ML, data science, and model development using Python and various ML frameworks. You will be responsible for prototyping with cutting-edge technologies, collaborating on product roadmaps, and designing A/B testing frameworks. This role offers opportunities for growth and impact within a dynamic and innovative environment.

Requirements

• A track record of leading customer-centric development of AI/ML solutions that resulted in quantifiable business impact
• 5+ years of applied experience in AI/ML and data science, working with technical and non-technical stakeholders to drive impactful solutions
• 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 shipping solutions that drive significant product improvement, resolve customer pain points, and demonstrably enhance user experiences

Responsibilities

• Lead the design, development, and deployment of customer-centric features that leverage data science, machine learning (ML)  and generative AI technologies
• Deliver tangible, quantifiable, and measurable impact on Sprout Social’s highest priority AI initiatives, directly benefitting our customers and driving key business outcomes
• Develop robust frameworks for evaluation and measurement of AI features to increase speed, quality, and demonstrable ROI of product enhancements
• Collaborate closely with product management, design, and software engineering partners to deliver high quality AI solutions quickly and confidently
• Effectively communicate AI capabilities, limitations, and product implications, ensuring alignment between technical possibilities, customer needs, and product vision

Preferred Qualifications

• Rapidly prototyping with new, cutting-edge AI/ML technologies to explore their applicability and potential for business impact
• Collaborating with / influencing product management to define, refine, and prioritize data-driven product roadmaps based on technical feasibility and customer value
• Designing and executing A/B testing frameworks and other rigorous experimentation techniques to measure impact
• Developing and deploying deep learning models
• Architecting and implementing production large language model driven features, including evaluating, fine-tuning, optimizing performance, and prompt-engineering to enhance customer journeys
• Building and deploying models on OpenSearch and ElasticSearch
• Engineering model services, deployment technologies, and ML-Ops practices
• Creating APIs and services across platforms such as AWS, Azure, GCP, OpenAI, and Anthropic
• Enforcing AI/ML model security, bias mitigation, and ethical AI/ML frameworks

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