Machine Learning Engineer – Inference, Serving

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November 4

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Yobi

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AI • SaaS • Enterprise

Yobi is a revolutionary AI platform that augments human capabilities to enhance business communications and productivity. The company's platform integrates seamlessly into existing operational workflows, allowing users to manage all their communications, including SMS, voice calls, and social media messages, from a unified inbox. Yobi utilizes AI-driven features such as sentiment analysis, real-time transcriptions, and automatic language translation to improve customer service and streamline operations. It caters to various industries with tailored AI teammates, offering solutions like virtual receptionists and podcast hosts. Additionally, Yobi ensures seamless integration with popular business applications like Salesforce, Slack, and HubSpot, enhancing enterprise functionality and collaboration through superior human-AI partnerships.

11 - 50 employees

☁️ SaaS

🏢 Enterprise

💰 $2.4M Seed Round on 2023-02

📋 Description

• As a Machine Learning Engineer focused on Inference and Serving at Yobi, you’ll design, optimize, and operate the systems that bring our Behavioral AI models to life in real time. • You’ll work at the core of our production environment, turning trained models into performant, reliable, and continuously improving services that power our open-web and CTV products. • This is an applied ML systems role—equal parts engineering depth, deployment craft, and model intuition. • You’ll shape how models are packaged, versioned, rolled out, and observed across environments, ensuring every prediction is fast, accurate, and accountable.

🎯 Requirements

• Deep expertise in model deployment. You’ve built or scaled production ML serving systems—handling versioning, rollouts, rollback strategies, and live experimentation. • Low-latency mindset. You understand what makes inference fast: model graph optimization, quantization, caching, batching, and efficient feature retrieval. • Systems fluency. You write robust, high-performance code in Go, Rust, C++, or Java, and are comfortable bridging to Python for model integration and analysis. • Operational maturity. You treat inference as a living system—monitoring drift, tracking model lineage, and ensuring observability from input to outcome. • Infrastructure intuition. You know how to make serving systems reproducible and portable without over-engineering them, whether that’s through custom runtime design, model registries, or lightweight orchestration. • Applied ML understanding. You can reason about model performance, interpret trade-offs, and work with researchers to make models more deployable.

🏖️ Benefits

• Competitive Base Salary • Meaningful equity & financial upside - a real % of the company • Annual bonus target based on personal and company performance • Health, Dental, Vision - most plans will pay little to 0 out of pocket • Unlimited PTO - we care about impact, not tracking days you’re out • 401k with company match %