Applied AI/ML Scientist

About the Role

The AI Business Unit at Sproutsocial is committed to pushing the boundaries of what is possible with AI/ML technologies. By leveraging the power of data science and machine learning, the team aims to create intuitive and actionable insights that help businesses make informed decisions. As an Applied AI/ML Scientist, you will play a critical role in driving this vision forward and contributing to the development of scalable, efficient, and effective AI/ML solutions.

What You Will Do

• Design, develop, and deploy customer-centric features that leverage data science, machine learning, and generative AI technologies
• Contribute to tangible, quantifiable, and measurable impact on Sproutsocial's highest priority AI initiatives
• Develop robust frameworks for evaluation and measurement of AI features to increase speed, improve quality, and provide 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 to ensure alignment between technical possibilities, customer needs, and product vision
• Develop and maintain large-scale data pipelines and architectures to support AI/ML model development and deployment
• Work closely with data engineers to design and implement data storage solutions and data processing frameworks
• Stay up-to-date with the latest advancements in AI/ML and data science, and apply this knowledge to drive innovation and improvement in AI/ML solutions
• Participate in code reviews and contribute to the improvement of the overall code quality
• Collaborate with the data science team to develop and implement new AI/ML models and techniques

What We Are Looking For

• A track record of supporting customer-centric development of AI/ML solutions that resulted in quantifiable business impact
• 2+ years of applied experience in AI/ML and data science, working with technical and non-technical stakeholders to drive impactful solutions
• 2+ years of experience developing models in Python using ML frameworks (e.g., PyTorch, TensorFlow, XGBoost, LGBM, NumPy, pandas)
• Strong proficiency in SQL and RESTful APIs for querying, transforming, and analyzing large datasets to drive product vision
• 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
• Experience building with transformer architectures and leveraging embeddings
• Strong understanding of software development principles and experience with Agile development methodologies
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

Nice to Have

• Experience rapidly prototyping with new, cutting-edge AI/ML technologies to explore their applicability and potential for business impact
• Experience designing and executing A/B testing frameworks and other rigorous experimentation techniques to measure impact
• Experience developing deep learning and NLP models
• Experience developing large language model-driven features, including evaluating, fine-tuning, and optimizing models

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a talented and experienced team of AI/ML professionals
• Collaborative and dynamic work environment
• Professional development opportunities, including training and education programs
• Flexible work arrangements, including remote work options
• Access to cutting-edge technologies and tools
• Recognition and reward for outstanding performance and contributions
• Comprehensive health and wellness programs
• Generous paid time off and holiday schedule

• Be prepared to showcase your expertise in AI/ML and data science, and demonstrate how you can apply this knowledge to drive business growth and improve customer experiences.
• Highlight your experience working with cross-functional teams, including product management, design, and software engineering, and emphasize your ability to communicate complex technical concepts effectively.
• Make sure your resume and online profiles are up-to-date and showcase your skills and experience in AI/ML and data science.
• Research Sproutsocial's products and services, and be prepared to discuss how you can contribute to the development of AI/ML solutions that drive customer-centric features and business growth.
• Be prepared to provide examples of your work, including code samples and project descriptions, and be ready to discuss your approach to problem-solving and collaboration.
• Consider creating a portfolio or blog to showcase your expertise and share your knowledge with others, and be prepared to discuss your thoughts on the latest advancements in AI/ML and data science.
• Prepare to discuss your experience with data pipelines, architectures, and storage solutions, and be ready to explain how you can design and implement these systems to support AI/ML model development and deployment.