Staff Machine Learning Engineer (LLM)

Location: Austin, TX or Remote Office; U.S.-based benefits generally apply

Company

hirify.global develops a private, end-to-end AI platform that enables enterprises and governments to build specialized intelligence on their own data.

What you will do

• Lead the development and optimization of Large Language Models and Mixture of Experts models.
• Lead product initiatives involving on-device inference optimization, quantization, RAG, agentic frameworks, and tool calling.
• Integrate machine learning models into the AI platform with cross-functional engineering teams.
• Conduct research focused on improving the performance and efficiency of LLMs.
• Deliver complex initiatives end to end and lead the sub-team.
• Mentor junior engineers and contribute to knowledge sharing and engineering best practices.

Requirements

• At least 6 years of experience in machine learning, including specific expertise in Large Language Models and Mixture of Experts.
• Advanced degree in Computer Science or a related field; a Ph.D. is preferred.
• Strong programming skills in Python and experience with TensorFlow and/or PyTorch.
• Proven record of building and innovating through publications or industry experience.
• Ability to lead complex projects and collaborate effectively across engineering functions.
• Excellent problem-solving skills and a passion for innovation.

Nice to have

• Experience with AWS, Azure, or GCP.
• Knowledge of Hadoop or Spark.
• Familiarity with Docker or Kubernetes.
• Publications or presentations in recognized machine learning journals or conferences.

Culture & Benefits

• Culture grounded in truth, ownership, tenacity, and humility.
• Comprehensive health, dental, and vision benefits for applicable U.S.-based employees.
• 401(k) match, equity options, supplemental life insurance, and parental leave for eligible employees.
• $200 monthly health and wellness stipend and a $500 annual Function Health subscription.
• Continuing education support and Flexible Time Off.
• Free parking for in-office employees.