🛠 Tech Stack

💼 About This Role

You'll build and scale enterprise AI features for a cloud-based video security platform. Your core impact will be designing, training, and deploying ML models like computer vision and LLMs to turn video into real-time insights. This role stands out for working across the full SDLC with a collaborative team that values candid culture and trust.

🎯 What You'll Do

• Collaborate on defining requirements and delivering AI features.
• Design, train, tune, and deploy ML models across cloud and embedded environments.
• Contribute to full SDLC for ML solutions: data collection, evaluation, optimization.
• Create and execute automation tests with QA.
• Troubleshoot and resolve customer issues.

📋 Requirements

• 3+ years building and deploying production software with ML models.
• Experience with Node.js, React, Python, Rust, JavaScript, or TypeScript.
• Experience in Python and ML frameworks like PyTorch or TensorFlow.
• Hands-on training, fine-tuning, evaluating, and optimizing ML models.

✨ Nice to Have

• Experience with Computer Vision, MLOps, IaC tooling.
• Experience with embedded development and IoT.
• Experience in video collection, streaming, storage, or analytics.

🎁 Benefits & Perks

• 🏖️ Flexible work where role allows.
• 💰 Meaningful equity for full-time employees.
• 🏥 Fully paid health & dental + $500 health spending account.
• 💪 Monthly wellness reimbursement for fitness/mental health.
• 📈 Growth through merit – advancement based on contribution.

📨 Hiring Process

Estimated timeline: 2-4 weeks

1. 1Intro call with Talent Team· 30 min
2. 2Practical Assessment· 1-2 hours
3. 3Panel Interview· 1 hour
4. 4Reference Checks· 15 min
5. 5Offer & Onboarding· 30 min