Senior Applied AI Solutions Engineer

📋 Description

• Build polished prototypes and technical demonstrations across serverless inference, databases
• Support enterprise customers hands-on through proof-of-concept design, technical onboarding
• Act as a technical bridge between customer ML teams and the platform, helping diagnose challenges
• Research emerging applied AI techniques, including new training approaches, inference
• Translate research and customer experience into technical write-ups, recommendations, and
• Identify recurring issues across customer deployments and provide specific, evidence-based input

🎯 Requirements

• Strong hands-on experience with modern machine learning systems, including fine-tuning large
• Fluency across the modern ML technology stack, including PyTorch, Hugging Face, CUDA fundamentals
• Experience working directly with enterprise ML teams, whether in a solutions engineering, customer
• Demonstrated ability to research emerging techniques, read technical and academic papers, and
• Strong understanding of ML infrastructure and the ability to troubleshoot complex workloads across
• Excellent communication skills, with the ability to adapt technical explanations for audiences

🎁 Benefits

• Competitive compensation, with the advertised base compensation range of $200,000–$350,000 USD
• Comprehensive benefits package.
• Flexible working arrangements with significant ownership and autonomy.
• Professional growth, continuous learning, and career development opportunities.
• Opportunity to work on impactful AI and ML infrastructure projects.
• Collaborative, innovative, and fast-moving working environment.