???? Job Title: Machine Learning Architect / Applied AI Specialist
???? Location: Venice, CA (Onsite preferred, remote optional)
???? Salary Range: $250,000 - $300,000 + Equity
About Us
We're a cutting-edge AI startup revolutionizing how enterprises leverage artificial intelligence. Our mission is to empower teams with no-code AI tools that seamlessly integrate into their workflows while prioritizing security and usability. By combining generative AI, large language models (LLMs), and robust enterprise data integration, we're driving a new era of productivity and collaboration.
Our innovative platform is designed to address the challenges of DevSecOps, DevOps, and development teams, enabling them to harness the power of AI in their daily workflows. Backed by substantial funding and a visionary leadership team, we're poised to transform the way businesses adopt AI solutions.
Position Overview
We're seeking an experienced Machine Learning Architect with expertise in generative AI and deep learning. In this role, you'll design, implement, and optimize cutting-edge AI solutions, particularly focusing on LLM training and deployment. With opportunities to shape the future of AI-powered products and grow into a leadership role, you'll play a critical part in defining our company's impact on enterprise AI adoption.
Key Responsibilities
AI Model Development: Design, fine-tune, and deploy state-of-the-art AI models, focusing on generative AI and LLMs.
Enterprise AI Integration: Innovate scalable product architectures tailored to DevSecOps and development team needs.
Collaboration: Work closely with cross-functional teams to adapt AI solutions to real-world applications.
Data Security: Fine-tune models using private datasets, ensuring compliance with strict data security standards.
AI Autonomy: Define and implement methodologies for improving AI autonomy and expanding product capabilities with agent-based systems.
Technical Expertise: Leverage tools like PyTorch, NVIDIA CUDA, Hugging Face, and Jupyter Notebooks for experimentation and rapid deployment.
Mentorship: Guide and mentor junior team members, fostering knowledge-sharing and skill development.
Research Leadership: Stay at the forefront of AI innovation, building partnerships with academic and industry researchers.
What We're Looking For
Experience: 7+ years of hands-on experience in deep learning, generative models, and LLMs, including real-world deployment.
Technical Skills: Expertise in Python and frameworks like TensorFlow, PyTorch, NVIDIA CUDA, and Hugging Face (please provide your profile).
LLM Expertise: Proven experience training and fine-tuning LLMs.
Background: Ph.D. in Computer Science, Machine Learning, or a related field, or equivalent professional experience.
Adaptability: Experience working on developer-centric workflows or enterprise security applications is a plus.
Passion: A strong enthusiasm for LLMs and continuous learning in AI.
Communication: Excellent ability to explain complex technical concepts to a range of audiences.
Preferred Skills
Familiarity with open-source frameworks like LangChain.
Experience in DevOps/DevSecOps workflows and enterprise security practices.
Why Join Us?
Compensation: Competitive salary ($250,000 - $300,000 base) and equity package.
Benefits: Comprehensive health coverage and a flexible PTO policy.
Growth: Opportunities for professional development, leadership, and career progression in a dynamic startup environment.
Culture: A collaborative, fast-paced team that values innovation, ownership, and mutual respect.
Ready to Build the Future of AI?
If you're passionate about pushing the boundaries of generative AI and want to make a real-world impact in enterprise applications, we'd love to hear from you. Apply today and become part of our journey to revolutionize the industry!