Who We Are
Simpplr delivers exceptional AI-powered employee experiences at scale. It is the only platform that unifies employee engagement, enablement, and self-service to provide every employee with a seamless and personalized experience so they can do their best work from anywhere. Organizations use our forward-looking, adaptable products to deliver personalized experiences that inspire and engage their employees. Wherever people work, Simpplr enables them to flourish.Trusted by more than 700+ leading brands, including Penske, Snowflake, Moderna, Eurostar, and AAA, our customers are achieving measurable improvements in employee engagement, productivity, and accelerated business performance.Simpplr is headquartered in Silicon Valley, CA with offices in the UK, Canada, and India, and is backed by Sapphire Ventures, Norwest Venture Partners, Salesforce Ventures, and Tola Capital.
Learn more at simpplr.com.
About the Role
Join our forward-thinking team as a Data Scientist where you will address real-world challenges through the lens of AI innovation, specifically focusing on neural search, personalization, content recommendation, and pioneering work with custom LLM fine-tuning. Work in an environment that fosters collaboration among highly skilled professionals to build next-generation products that significantly impact our clients' operational effectiveness.
Key Responsibilities
Innovate and develop scalable solutions leveraging AI technologies to process and analyze vast amounts of data efficiently.Quickly prototype, test, and deploy effective AI solutions, managing project timelines and deliverables while incorporating the latest advancements in AI research.Engage with cross-disciplinary teams to identify and implement AI-driven enhancements for user experiences, leading the charge from ideation to deployment.
What We’re Looking For
- 2-3 years of experience in crafting and implementing AI models, with a particular interest in applications within custom LLM fine-tuning and content personalization.
- Solid grounding in AI technologies, with proficiency in Python and familiarity with AI development frameworks.
- Interest or experience in ML-Ops, emphasizing the journey from concept to production scalability.
- Openness to candidates with a robust background in backend development who have delved into AI, especially those who have engaged in LLM fine-tuning and neural search.
- Knowledge in developing analytical web applications and working with cloud platforms, capable of managing large data sets and complex AI models
Technical skill sets:.
- Strong coding skills
- Understanding of basic Machine Learning, Deep Learning, and Natural Language Processing algorithms
- Experience in developing applications using LLMs, LLMs Evaluation and Knowledge Graphs
- Comfort with working in multiple tech stacks
- Experience in API Development, Docker and AWS Services
Nice to have:
- Experience in ML research, focusing on LLMs, Information Retrieval Systems, Reinforcement Learning, Retrieval-Augmented Generation (RAG), Recommender Systems, Scaling, Monitoring, and Deploying LLMs
Our Ideal Candidate
- We are in search of individuals who are not merely experienced but deeply passionate about unearthing new challenges and inquiries in the realm of AI. We value creativity, positivity, work ethic and the pursuit of answering intricate questions with methodical accuracy. Multiple positions at different seniority levels are available.
See what our employees say about working at Simpplr:
Glassdoor Reviews
Simpplr’s Hub-Hybrid-Remote Model:
At Simpplr we believe that when work is good, life is better and that belief guides all we do. Including how we approach our flexible work model. Simpplr operates with a Hub-Hybrid-Remote model. This model is role-based with exceptions and provides employees with the flexibility that many have told us they want.
- Hub - 100% work from Simpplr office. Role requires Simpplifier to be in the office full-time.
- Hybrid -Hybrid work from home and office. Role dictates the ability to work from home, plus benefit from in-person collaboration on a regular basis.
- Remote - 100% remote. Role can be done anywhere within your country of hire, as long as the requirements of the role are met.
