Machine Learning Engineer (LLM)

Location: New York City, United States; hybrid schedule with 3 days per week in the office required

Salary: $160K–$250K gross annual

Company

hirify.global develops software, machine learning, and hardware products that extend human-computer interaction, including Stream, a private voice ring and conversational interface.

What you will do

• Develop software and machine learning algorithms for human-computer interface products.
• Design system architectures using large language models for conversational, information retrieval, and digital automation tasks.
• Curate data, train models, and use data science and statistical methods to analyze and optimize model performance.
• Build real-time ML applications, including voice conversation and vision-language processing systems.
• Develop retrieval augmented generation systems to improve information retrieval accuracy.
• Optimize ML systems for latency, reliability, and cost across cloud and production environments.

Requirements

• Bachelor’s degree in computer science, engineering, data science, or machine learning.
• At least 2 years of experience as a machine learning engineer and building and deploying ML-based applications.
• At least 2 years of experience with large language models, including OpenAI GPT, Anthropic Claude, or Meta Llama models.
• At least 2 years of quantitative analysis and Python programming experience.
• At least 2 years of professional experience building real-time applications using ML models.
• Experience with AWS or GCP, Docker, TorchServe, AWS Lambda, or SageMaker; competency-based interviews must be completed successfully.

Nice to have

• Experience at a startup-stage company, from founding engineer through Series A.

Culture & Benefits

• Health, vision, and dental benefits.
• Company-sponsored 401(k).
• Unlimited paid time off and sick time.
• Early-stage equity.