Sprout Social is looking to leverage data science, machine learning, and generative AI technologies to drive business growth and innovation.
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
- 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
Responsibilities
- Lead the design, development, and deployment of features that leverage data science, machine learning (ML), and generative AI technologies
- 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
- Contribute to an AI/ML initiative
- Deliver tangible impact on some of Sprout Social’s highest priority corporate goals, to the benefit of our customers
- Develop impactful AI/ML solutions
Other
- Complete Sprout’s New Hire training program alongside other new Sprout team members
- Meet and learn from assigned onboarding resources
- Become familiar with our existing features, available data, and best practices
- Begin meeting with various stakeholders to understand existing problem spaces and needs
- Work with your manager to define the first project you’ll make an impact with
- 5+ years of experience working with technical and non-technical stakeholders
- Progressive policies to support work/life balance, like our flexible paid time off and parental leave program
- Wellness initiatives to ensure both health and mental well-being of our team
- Ongoing education and development opportunities via our Grow@Sprout program and employee-led diversity, equity, and inclusion initiatives
- Growing corporate social responsibility program that is driven by the involvement and passion of our team members
