Lead Product Engineer - Machine Learning
Job Description
- Experience managing ML engineers and data scientists
- Experience with Multi-Modal ML including Generative AI
- Interest in AI technology impacts
- Passion for AI
- Degree in Computer Science or related quantitative field
- At least 5 years of Deep Learning experience
- Familiarity with cloud deployment (Kubernetes, Docker)
- Experience with LLMs (GPT-3, Bert, Transformer)
- Experience with deep learning tools (TensorFlow, Torch)
- Working experience of software engineering best practices
- Experience communicating technical designs to stakeholders
- Comprehensive health plans
- Leading well-being programs
- Financial protection
- Daily meditation breaks
- Virtual fitness
- Access to Headspace
- LinkedIn Learning
Job Description
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 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 5 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!
Why You'll Love Sprinklr:
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to https://sprinklrbenefits.com/ to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world’s largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.
