Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
ML/AI Founding Engineer
Location - San Francisco CA (Onsite)
Compensation - $170000 $220000 Base Competitive Equity
Visa - Visa sponsorship available
Company Stage - Seed Stage ($7M raised Series A expected within 12 months)
Industry -AI Aviation Defense Aerospace
About the Company
The company is building the intelligence layer for pilot training by combining cockpit audio avionics telemetry and AI-powered analysis to automate flight debriefs and improve pilot performance.
Already deployed across leading aviation institutions and the U.S. Air Force the platform transforms fragmented flight data into actionable training insights through advanced speech processing multimodal AI and domain-specific reasoning systems.
With strong early traction meaningful funding and an imminent Series A raise the company is scaling rapidly and looking for a Founding ML/AI Engineer to own the intelligence layer from end to end.
This is a rare opportunity to join a small high-caliber team and build AI systems in a safety-critical environment where model quality and real-world impact matter.
What Youll Do
Own the entire AI and machine learning stack from data ingestion through production inference
Build and improve speech-to-text speaker diarization and audio separation systems for cockpit environments
Develop AI systems that generate automated flight debriefs and performance assessments
Build multimodal reasoning systems that combine audio telemetry and contextual aviation knowledge
Design evaluation frameworks and feedback loops to improve model quality over time
Architect scalable ML infrastructure and production deployment pipelines
Work directly with founders on technical strategy and product direction
Establish engineering standards and best practices for the ML organization
Build systems capable of operating reliably in safety-critical environments
Help grow the technical team and evolve into a leadership role as the company scales
Ideal Candidate Background
Experience Requirements
47 years of experience building production ML/AI systems
Experience shipping end-to-end ML products into production environments
Experience at an early-stage startup with significant ownership
Demonstrated architectural leadership and technical decision-making
Experience owning ML systems from experimentation through deployment
Founding Engineer or early engineering team experience preferred
Aviation aerospace defense or related domain experience strongly preferred
Technical Requirements
Deep expertise in NLP speech processing audio ML or related domains
Strong Python engineering skills
Experience building and deploying LLM-powered applications
Experience with RAG prompt engineering model evaluation and fine-tuning
Experience with multimodal AI systems
Familiarity with cloud infrastructure and ML deployment workflows
Strong system design and architecture fundamentals
Heavy user of AI development tools such as Cursor Claude Code and Copilot
Education
BS/MS in Computer Science Machine Learning Electrical Engineering or related field preferred
Strong academic background from a top technical program preferred
Soft Skills
High ownership mentality
Strong communication and collaboration skills
Comfortable operating with ambiguity
Ability to work independently with minimal oversight
Strong product and business judgment
Excited by fast iteration and rapid execution
Preferred Backgrounds
Aviation technology startups
Defense technology companies
Aerospace software organizations
AI infrastructure startups
Early-stage venture-backed startups
Founding Engineer backgrounds
Teams building production NLP speech or multimodal AI systems
Compensation & Benefits
Base Salary: $170000 $220000
Competitive founding-stage equity
Significant ownership and influence over technical direction
Opportunity to lead the ML function as the company scales
Direct collaboration with founders
Exposure to aviation and defense industries
Free flight training and aviation immersion opportunities
Visa sponsorship available
Why Join
This is an opportunity to own the entire intelligence layer of an AI-native aviation platform at an extremely early stage.
Youll work on technically challenging problems spanning speech processing multimodal reasoning time-series analysis and LLM-powered workflows while building systems used by real pilots and military organizations.
As one of the earliest engineers youll have outsized influence on product direction technical architecture and team growth while participating in significant equity upside as the company scales from Seed to Series A and beyond.
Required Experience:
IC
Who is Recruiting from Scratch:Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.ML/AI Founding EngineerLoc...
Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
ML/AI Founding Engineer
Location - San Francisco CA (Onsite)
Compensation - $170000 $220000 Base Competitive Equity
Visa - Visa sponsorship available
Company Stage - Seed Stage ($7M raised Series A expected within 12 months)
Industry -AI Aviation Defense Aerospace
About the Company
The company is building the intelligence layer for pilot training by combining cockpit audio avionics telemetry and AI-powered analysis to automate flight debriefs and improve pilot performance.
Already deployed across leading aviation institutions and the U.S. Air Force the platform transforms fragmented flight data into actionable training insights through advanced speech processing multimodal AI and domain-specific reasoning systems.
With strong early traction meaningful funding and an imminent Series A raise the company is scaling rapidly and looking for a Founding ML/AI Engineer to own the intelligence layer from end to end.
This is a rare opportunity to join a small high-caliber team and build AI systems in a safety-critical environment where model quality and real-world impact matter.
What Youll Do
Own the entire AI and machine learning stack from data ingestion through production inference
Build and improve speech-to-text speaker diarization and audio separation systems for cockpit environments
Develop AI systems that generate automated flight debriefs and performance assessments
Build multimodal reasoning systems that combine audio telemetry and contextual aviation knowledge
Design evaluation frameworks and feedback loops to improve model quality over time
Architect scalable ML infrastructure and production deployment pipelines
Work directly with founders on technical strategy and product direction
Establish engineering standards and best practices for the ML organization
Build systems capable of operating reliably in safety-critical environments
Help grow the technical team and evolve into a leadership role as the company scales
Ideal Candidate Background
Experience Requirements
47 years of experience building production ML/AI systems
Experience shipping end-to-end ML products into production environments
Experience at an early-stage startup with significant ownership
Demonstrated architectural leadership and technical decision-making
Experience owning ML systems from experimentation through deployment
Founding Engineer or early engineering team experience preferred
Aviation aerospace defense or related domain experience strongly preferred
Technical Requirements
Deep expertise in NLP speech processing audio ML or related domains
Strong Python engineering skills
Experience building and deploying LLM-powered applications
Experience with RAG prompt engineering model evaluation and fine-tuning
Experience with multimodal AI systems
Familiarity with cloud infrastructure and ML deployment workflows
Strong system design and architecture fundamentals
Heavy user of AI development tools such as Cursor Claude Code and Copilot
Education
BS/MS in Computer Science Machine Learning Electrical Engineering or related field preferred
Strong academic background from a top technical program preferred
Soft Skills
High ownership mentality
Strong communication and collaboration skills
Comfortable operating with ambiguity
Ability to work independently with minimal oversight
Strong product and business judgment
Excited by fast iteration and rapid execution
Preferred Backgrounds
Aviation technology startups
Defense technology companies
Aerospace software organizations
AI infrastructure startups
Early-stage venture-backed startups
Founding Engineer backgrounds
Teams building production NLP speech or multimodal AI systems
Compensation & Benefits
Base Salary: $170000 $220000
Competitive founding-stage equity
Significant ownership and influence over technical direction
Opportunity to lead the ML function as the company scales
Direct collaboration with founders
Exposure to aviation and defense industries
Free flight training and aviation immersion opportunities
Visa sponsorship available
Why Join
This is an opportunity to own the entire intelligence layer of an AI-native aviation platform at an extremely early stage.
Youll work on technically challenging problems spanning speech processing multimodal reasoning time-series analysis and LLM-powered workflows while building systems used by real pilots and military organizations.
As one of the earliest engineers youll have outsized influence on product direction technical architecture and team growth while participating in significant equity upside as the company scales from Seed to Series A and beyond.
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