We're seeking exceptional engineers to drive our ambitious goals forward! We need individuals with extraordinary skills who can thrive in our fast-paced environment and deliver consistently outstanding results.
Requirements
In this role, you will:
Elevate our retrieval-augmented generation (RAG) capabilities by ensuring efficient integration and utilization of diverse data sources
Focus on enhancing embedding generation techniques, optimizing them for both accuracy and efficiency
Stay updated on the latest advancements in AI models, understanding their evolving capabilities and complexities of integration. You'll become the team's go-to expert, assisting end-users in selecting the most suitable models for their use cases
Collaborate closely with both backend and frontend teams to seamlessly integrate AI models into our products and services
Prioritize customer needs and build strong relationships by actively engaging in customer support alongside other team members
You'll excel in this role if you have:
A Bachelor's or Master's degree in Computer Science, Machine Learning, AI, or related fields
Demonstrated expertise in machine learning and AI, particularly in generative models
Proficiency in implementing retrieval-augmented generation pipelines
Strong programming skills in Python and hands-on experience with popular machine learning frameworks like TensorFlow or PyTorch
Familiarity with embedding techniques and their practical applications in AI models
Exceptional problem-solving abilities and a track record of thriving in fast-paced environments
Excellent communication and collaboration skills
You'll stand out if you also possess:
A PhD in a relevant field, showcasing your advanced expertise
Published research or projects in generative AI, embeddings, or retrieval-augmented generation
Experience with deploying large-scale ML models in production environments
Contributions to open-source AI/ML projects, highlighting your proactive involvement in the community
In-depth knowledge of generative AI hardware, including GPU architectures, requirements, and optimization techniques for AI model deployment
Benefits
Competitive salary package with performance-based bonuses
Stock options, allowing you to share in the company's success and growth
Comprehensive health insurance coverage for you and your dependents
Flexible work hours and the option for remote work, promoting work-life balance
Professional development opportunities, including access to conferences, workshops, and courses to enhance your skills
Wellness programs and fitness stipends to support your physical and mental well-being
Generous vacation and paid time off policies to encourage relaxation and rejuvenation
Company-sponsored social events and team-building activities to foster a positive work culture
Opportunities for career advancement and growth within the organization
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering
Industries
Primary and Secondary Education and Non-profit Organizations
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