Sr. Machine Learning Engineer (AI)

TL;DR

Sr. Machine Learning Engineer (AI): Building tooling and services to power machine learning and generative AI-powered solutions in production with an accent on training, inference, model evaluation metrics, and testing frameworks. Focus on deploying and managing applications powering various components of the AI/ML SDLC process.

Location: Must be physically located within the United States

Salary: $143,000 to $197,000 a year

Company

hirify.global is the leading provider of mental health solutions for employers supporting more than 20 million people globally.

What you will do

• Build tooling and services that power machine learning and generative AI-powered solutions in production.
• Work on training and inference platform services.
• Develop model evaluation metrics and testing frameworks.
• Build services that expose machine learning and AI-based products.
• Deploy and manage various applications that power various components of the AI/ML SDLC process.
• Write code every day!

Requirements

• 6+ years of experience deploying ML/AI solutions in production environments.
• Ability to write high-quality code in Python.
• Experience building RESTful APIs and defining/using Protobuf messages.
• Experience working with Docker and deploying applications to Kubernetes.
• Experience with relational and low-latency databases, and Celery.
• Remote candidates must be physically located within the United States.
• Excellent communication skills with a talent for building consensus and alignment.

Nice to have

• Experience building RAG-based solutions and setting up/maintaining vector databases.
• Experience writing production code in Java/Kotlin.
• Experience building solutions on cloud infrastructure, particularly AWS.
• Experience working with highly sensitive data in a healthcare environment.

Culture & Benefits

• Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances).
• Lyra for Lyrians: coaching and therapy services.
• Equity in the company through discretionary restricted stock units.
• Competitive time off with pay policies including vacation, sick days, and company holidays.
• 401K retirement benefits and monthly tech allowance.