AI/ML Engineer
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:
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
- 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
- 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
- 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
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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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