Applied AI/ML Scientist

About the Role

The ideal candidate will have a strong background in AI and machine learning, with a focus on developing and deploying models that drive tangible business impact. You will be working with a variety of stakeholders to provide data-driven solutions to business leaders and customers, and will be expected to effectively communicate AI capabilities, limitations, and product implications.

Sproutsocial is committed to empowering businesses worldwide to harness the power of social media, and this role is a key part of that mission. With a strong focus on customer-centric development, you will have the opportunity to drive innovation and growth, and to make a meaningful impact on the company's highest priority AI initiatives.

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, ensuring alignment between technical possibilities, customer needs, and product vision
• Develop and maintain large-scale data pipelines and architectures to support AI and machine learning initiatives
• Work closely with data scientists and engineers to design and implement AI and machine learning models
• Participate in the development of the company's AI strategy and roadmap
• Collaborate with cross-functional teams to identify and prioritize AI and machine learning projects
• Stay up-to-date with the latest advancements in AI and machine learning, and apply this knowledge to drive innovation and growth

What We Are Looking For

• 2+ years of applied experience in AI and machine learning, with a focus on developing and deploying models that drive tangible business impact
• Strong proficiency in Python, with experience using ML frameworks such as PyTorch, TensorFlow, XGBoost, LGBM, NumPy, and pandas
• Experience with SQL and RESTful APIs for querying, transforming, and analyzing large datasets
• Expertise in analytical, statistical, and AI/ML methods, with a focus on shipping solutions that drive significant product improvement
• Experience building with transformer architectures and leveraging embeddings
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
• A track record of supporting customer-centric development of AI/ML solutions that resulted in quantifiable business impact

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

Benefits and Perks

• Competitive salary and benefits package
• Opportunity to work with a cutting-edge AI and machine learning team
• Collaborative and dynamic work environment
• Flexible work arrangements, including remote work options
• Professional development opportunities, including training and education programs
• Access to the latest tools and technologies, including AI and machine learning frameworks
• Recognition and reward for outstanding performance and contributions

• Be prepared to demonstrate your expertise in data science, machine learning, and AI technologies, and to explain how you have applied these skills in previous roles
• Show a strong understanding of the company's AI strategy and roadmap, and be prepared to discuss how you can contribute to these efforts
• Highlight your experience working with cross-functional teams, including product management, design, and software engineering
• Emphasize your ability to communicate complex technical concepts to non-technical stakeholders, and to drive business impact through AI and machine learning initiatives
• Be prepared to discuss your experience with AI and machine learning frameworks, including PyTorch, TensorFlow, and XGBoost
• Show a strong portfolio of work, including examples of AI and machine learning projects you have led or contributed to
• Be prepared to negotiate salary and benefits, and to discuss your expectations for the role and the company