LLM Engineer
Job Description
Are you a data person who is deeply interested in AI and LLM technology?
Do you love to solve interesting challenges and make a direct impact through your work?
Are you a people person who is into code? (and not a code person who is into people!)
At Paradox, we believe when you get the people thing right, you can build teams that can change the world. We’re helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, Paradox is laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloitte’s "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And we’re just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.
We’re in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. In Paradox, you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!
Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale Paradox’s conversational AI capabilities. In this role, you will:
- Design and implement LLM evaluation frameworks to assess different models, parameters, and techniques.
- Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment.
- Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field.
- Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant.
- Implement practical applications of LLM research findings, creating scalable tools for user-facing applications.
- Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
- Collaborate with cross-functional teams to drive AI innovation across our products.
- Work closely with our global R&D team to evolve AI strategies, fostering a collaborative and innovative environment.
Required Qualifications:
- Bachelor’s Degree in Computer Science or related field
- At least 3 years of experience in Data Science or similar roles
- Experience working with Python is a plus
- Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
- Excellent written communication and problem-solving skills
- Fluent in English, including both written and verbal communication
- Ability to learn quickly and maintain attention to detail
- Authorization to work in Israel
Preferred Qualifications:
- Experience in UI/UX design, Machine Learning, AI techniques, chatbot development platforms, or NLP/NLU
Why you should work at Paradox:
- Work side by side with passionate, purposeful people - Talent is our DNA and we pride ourselves on having the best!
- You’ll have the ability to make a big impact on a growing organization and drive your own growth
- You’ll have the opportunity to be part of the team building the next big thing in recruiting technology
- Internal and external professional development, coaching, and continuous education opportunities
Application Instructions
Click below to apply
Loading . . .Posted: 11/14/2024
Job Reference #: PDX_PA_DFA7DE4B-A813-487A-B778-D43012396E79_21823290