Software Engineer, AI

Spot AI • San Francisco, CA

7d • $180,000

About The Position

Spot AI is a rapidly growing Video AI company that transforms standard cameras into powerful AI tools to enhance safety, security, and operations for businesses nationwide. Founded by engineers from Stanford, Cisco Meraki, and Samsara, the company has processed over 1 billion hours of video and is ingesting more daily new videos than YouTube. Their industry-leading Video AI agents are redefining what video AI can achieve in physical operations, disrupting the $30 billion video surveillance market with a plug-and-play, camera-agnostic solution. Spot AI's approach has led to rapid adoption across 17 industries, serving nearly 1000 businesses and over 70,000 camera feeds. The company has attracted nearly $100 million in investment from prominent venture firms. Spot AI is seeking passionate and ambitious builders who share a high-performance mindset characterized by relentless drive, a builder's mentality, high hustle with high humility, and a commitment to cultural pillars such as strategic spending, pushing for progress, customer obsession, trust, acting like owners, and having fun.

Requirements

• Self-motivated and accountable, excelling with ownership and autonomy.
• Ability to produce high-quality outcomes with minimal direction and oversight.
• Strong intuition on what's most important to work on and ability to focus on critical items.
• Balanced visionary with the ability to see the big picture and appreciate details.
• Drive to make meaningful, hands-on contributions.
• Humble expert with strong expertise and nuanced perspectives on the latest AI technology.
• Open to new ideas and new ways of doing things.
• Focus on getting it right in a team setting.
• Ready to stretch impact and influence, and take on larger scale challenges or act as a mentor.
• 2+ years of hands-on experience in AI, ideally with video processing experience.
• Understanding of classic deep learning techniques (e.g., YOLO, transformer models, linear classifiers).
• Experience with the latest AI foundation models (e.g., embeddings, LLMs, prompt engineering).
• Creative thinker and problem solver, able to think outside the box with few resources.
• Keen eye and technical frameworks for setting an AI technical direction based on customer context.
• Deep understanding of software design, architecture, big-data processing pipelines, and best practices on systems design + scalability, code quality, and data/model design.
• Appreciation for details such as edge model optimizations, vector indexes, and designing maintainable data schemas.
• Experience designing and leading complex systems, shaping multi-team architectures, and creating frameworks that prevent defects and improve validation across products.
• Debugging and operational excellence expertise, adopting observability tools, tackling unfamiliar codebases, and developing resources like runbooks.
• Eye for impending technical issues or optimization opportunities, and architectural improvements.
• Examples of AI Engineering projects that can scale, from school or industry.

Nice To Haves

• Experience with the latest models across multiple domains, such as Dinov2, CLIP, GPT4o/Gemini.
• Experience working with a datastream of over 200k datapoints and embeddings a second.
• Experience wrangling data into actionable insights with fast and accurate queries.
• Experience democratizing and educating about the latest foundational models to customers and team members.
• Experience working with a global, several thousand node distributed hybrid edge-cloud, processing millions of hours of video a day.
• Experience in a place that gives room to learn from failure while driving excellence.

Responsibilities

• Play a critical role in advancing Spot AI's capabilities, using AI expertise to drive innovative solutions for businesses with physical environments.
• Lead the design and integration of AI-driven features, elevating both new and existing products with a focus on scalable, real-world applications.
• Apply cutting-edge AI techniques to transform video data into actionable insights that empower clients.
• Set standards in AI reliability and performance to ensure Spot AI's product suite consistently delivers high-impact outcomes.
• Design and implement AI-driven features across new and existing products, with a focus on scalability and tangible value for diverse industries.
• Dive into complex challenges in video intelligence, using expertise to bring actionable insights to businesses in physical environments.
• Collaborate closely with cross-functional teams to build tools and frameworks that set a new standard for AI performance and reliability in the industry.

Benefits

• Annual Base Salary Range: up to 180K (USD)
• Meaningful early stage equity
• Medical, dental and vision plan options with significant company contributions towards premiums
• Company paid short- and long-term disability plans
• Company paid life insurance
• 401K with Employer Match

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed