Applied AI Engineer (Audio)

Location: Hybrid (San Francisco or Boston)

Company

hirify.global is a foundation model company spun out of MIT CSAIL, building efficient, general-purpose AI systems for enterprise applications across automotive, life sciences, and financial services.

What you will do

• Act as the technical owner for enterprise audio post-training engagements.
• Design and build function calling capabilities to map spoken user intents to structured API invocations.
• Design and execute data generation pipelines for speech-to-speech and text-to-text training.
• Run supervised fine-tuning, preference alignment, and reinforcement learning workflows.
• Develop task-specific evaluations for audio function calling and feed learnings back into core pipelines.

Requirements

• Hands-on experience with post-training for language models (SFT, preference alignment, or RL).
• Experience with data generation and evaluation pipelines for LLM or audio model training.
• Strong intuition for data quality and evaluation design.
• Familiarity with function calling, tool use, or structured output training.
• Must be able to work in a hybrid capacity in San Francisco or Boston.

Nice to have

• Experience with speech or audio language models (ASR, TTS, or multimodal systems).
• Prior exposure to customer-facing or applied ML delivery environments.
• Familiarity with on-device or low-latency inference constraints.

Culture & Benefits

• Competitive base salary with equity in a unicorn-stage company.
• 100% coverage of medical, dental, and vision premiums for employees and dependents.
• 401(k) matching up to 4% of base pay.
• Unlimited PTO plus company-wide Refill Days.
• Opportunity to work on real-world production deployments under on-device constraints.