Senior AI Design Engineer

About This Role: As a Senior AI Design Engineer at Spaceion, you'll be at the intersection of artificial intelligence and product design, creating intelligent systems that enhance user experiences and solve complex challenges. This role demands both deep technical expertise in machine learning and the ability to translate business requirements into practical AI solutions. You'll architect, train, and deploy models while collaborating with cross-functional teams to integrate AI capabilities seamlessly into our products. We're looking for someone who stays current with the latest AI research, thinks critically about ethical implications, and can balance innovation with production reliability. If you're passionate about making AI accessible and impactful, this role offers the opportunity to shape the future of our platform.

Responsibilities:

• Design, develop, and deploy machine learning models for natural language processing, computer vision, and predictive analytics

• Architect scalable AI systems and pipelines that integrate with existing product infrastructure

• Collaborate with product managers and designers to identify opportunities where AI can add meaningful value

• Train, fine-tune, and optimize models using frameworks like TensorFlow, PyTorch, or JAX

• Implement MLOps best practices including model versioning, monitoring, and A/B testing

• Research and evaluate emerging AI technologies, tools, and methodologies

• Mentor junior engineers and data scientists on ML best practices and techniques

• Ensure AI systems are fair, transparent, and aligned with ethical AI principles

• Work with engineering teams to optimize model performance, latency, and resource utilization

• Document technical designs, model architectures, and deployment processes

Benefits:

• Premium health, dental, vision, and life insurance (95% employer-covered)

• 401(k) with 6% company match and immediate vesting

• Flexible hybrid schedule with 3 days in-office, 2 days remote

• $4,000 annual learning and development budget for courses, conferences, and certifications

• Access to GPU compute resources and cloud credits for research and experimentation

• Competitive equity compensation package with quarterly refresh grants

• Paid parental leave (18 weeks primary, 10 weeks secondary)

• Cutting-edge hardware including high-performance laptops and multiple monitors

• Relocation assistance up to $10,000 for qualified candidates

• Annual AI/ML conference sponsorship and research publication support