Lead Product Engineer - Machine Learning

Sprinklr is the unified platform for all customer-facing functions. We call it unified customer experience management (Unified-CXM). We help companies deliver human experiences to every customer, every time, across any modern channel, at a once impossible scale. Headquartered in New York City with over 2,400 employees globally, Sprinklr works with more than 1,000 of the world’s most valuable enterprises — global brands like Microsoft, P&G, Samsung, and more than 50% of the Fortune 100. Learn more about our culture and how we make our employees happier through The Sprinklr Way. 
 

Role: In your role as a Lead Product Engineer with us, you will be tasked with creating and delivering novel machine learning solutions for next generation of digital customer experience applications. 
 

What will you do : 

• Work in a collaboration of machine learning engineers and data scientists. 

• Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc. 

• Work closely with product management and design to define project scope, priorities and timelines 

• Work closely with machine learning leadership team to define and implement the technology and architectural strategy 

• Take partial ownership of project technical roadmap, which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, delivery 

• Deliver and maintain high-quality scalable systems in a timely and cost-effective manner 

• Recognizing potential use-cases of cutting edge research in Sprinklr products and implementing  your own solutions for the same. 

• Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the team's workflow. 

What makes you qualified: 

• Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges. 

• At least 3 years of Deep Learning Experience with a distinguished track record on technically fast paced projects. 

• Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers 

• Experience with large language models (GPT-3, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch). 

• Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations 

• Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs 

Nice to Have: 

• Experience in directly managing a team of high calibre machine learning engineers and data scientists 

• Experience with Multi-Modal ML including Generative AI. 

• Interested in and thoughtful about the impacts of AI technology 

• A real passion for AI!