Machine Learning Engineer

HappyRobot AI Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• You’ll be building AI models that make human-like conversations possible.
• You’ll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products.
• You’ll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company.
• From designing robust models to deploying them in production, you’ll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.
• Design, build, and maintain scalable ML systems — from data ingestion and preprocessing to training, testing, and deployment.
• Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
• Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
• Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
• Ensure data quality, observability, and performance across all AI systems.
• Stay current with the latest in AI infrastructure, tooling, and research — helping us stay ahead of the curve.
• Strong experience in machine learning, deep learning, and NLP.
• Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
• Proficiency in Python and familiarity with Go.
• Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
• Ability to design ML systems for robustness, scalability, and automation.
• Strong coding, debugging, and data engineering skills.
• Passion for AI infrastructure and its real-world impact.
• Founder mindset: ownership, independence, and willingness to go deep.
• Opportunity to work at a high-growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders
• Extreme Ownership
• Craftsmanship
• We are “majos” (friendly & have fun with coworkers)
• Urgency with Focus
• Talent Density and Meritocracy
• First-Principles Thinking

🎯 Requirements

• Strong experience in machine learning, deep learning, and NLP.
• Solid background in MLOps and data pipelines — e.g., model deployment, monitoring, and scaling in production environments.
• Proficiency in Python and familiarity with Go.

🏖️ Benefits

• Opportunity to work at a high-growth AI startup, backed by top investors.
• Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.
• Ownership & Autonomy - Take full ownership of projects and ship fast.
• Top-Tier Compensation - Competitive salary + equity in a high-growth startup.
• Comprehensive Benefits - Healthcare, dental, vision coverage.
• Work With the Best - Join a world-class team of engineers and builders

Skills & Technologies

Python

AWS

Azure

GCP

Onsite

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HappyRobot AI Inc.

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About HappyRobot AI Inc.

HappyRobot AI builds voice AI agents that automate repetitive phone calls for logistics, freight, and supply-chain companies. Its cloud platform lets shippers, brokers, and carriers offload tasks like appointment scheduling, check calls, and rate negotiation to conversational bots that integrate with TMS, ELD, and CRM systems via API. The company targets mid-market and enterprise freight operations seeking to cut labor costs and accelerate data entry without sacrificing accuracy or carrier relationships.

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