8+ years in ML/AI, with at least 3 years in leadership roles.
Proven experience delivering ML systems for sensor and multi-modal data at scale.
Capability to set strategic AI/ML direction for products.
Hands-on skills in model training and data pipeline design.
Familiarity with data-efficient learning methods in a production environment.
Experience leading teams of 3+ ML/AI engineers with successful hiring outcomes.
Ability to bridge technical AI/ML concepts with business strategy.
Responsibilities
Translate AI/ML vision into a concrete technical strategy.
Establish initial ML pipelines and validate architectural decisions hands-on.
Recruit and lead the AI/ML team, starting with key senior roles.
Manage the entire intelligence extraction pipeline from raw data to knowledge graph.
Collaborate with leadership to align AI/ML efforts with product and customer needs.
Benefits
Comprehensive health, dental, and vision coverage.
401(k) with immediate vesting.
Generous PTO, paid parental leave, and flexible work options.
Annual professional development stipend.
Collaborative culture with team events and referral bonuses.
Ownership of the entire AI/ML function with access to real data and customers.
Full Job Description
Key Responsibilities
Interpret Cyvl's Infrastructure Intelligence vision and translate it into a concrete AI/ML technical strategy covering perception (imagery + LiDAR), knowledge representation, and data architecture.
Be hands-on in the early months: set up the initial ML pipelines, make key architectural decisions, and validate technical approaches before you have a team.
Hire and lead the AI/ML team, starting with a senior ML engineer and a senior knowledge graph architect as the first two roles.
Own the full intelligence extraction pipeline: from raw sensor data to detections, geometric measurements, cross-modal representations, and a queryable knowledge graph.
Work directly with the CEO and engineering leadership to align AI/ML investments with product priorities and customer needs.
Qualifications Required
8+ years in ML/AI, with at least 3 years leading a team (hiring, managing, setting technical direction).
Track record of shipping production ML systems on sensor data, geospatial data, or multi-modal data at scale.
Experience setting AI/ML strategy for a product or business unit, not just executing someone else's roadmap.
Hands-on technical depth: you can train models, design data pipelines, and evaluate architectural tradeoffs yourself.
Experience with data-efficient learning approaches (active learning, semi-supervised methods, foundation model adaptation) in production.
Led teams of 3+ ML/AI engineers and made successful senior technical hires.
Strong communicator who can translate between technical AI/ML concepts and business/product strategy.
Nice to Have
Experience with LiDAR, point cloud data, or 3D perception.
Background in autonomous vehicles, HD mapping, satellite imagery, or infrastructure/civil engineering domains.
Experience building knowledge graphs or ontology-driven data architectures.
Familiarity with geospatial databases (PostGIS, spatial indexing).
Experience designing data architectures for agentic or LLM-driven access patterns.
Background at Palantir, an AV company, or a geospatial intelligence organization.
Experience at a startup or scaling an AI/ML function from zero.
What We Offer
Competitive salary and equity package ($300K-$400K total comp, equity-heavy)
Comprehensive health, dental, and vision coverage
401(k) with immediate vesting
Generous PTO, paid parental leave, and flexible work options
Annual professional development stipend
Team events, referral bonuses, and a collaborative, growth-focused culture
Ownership of the entire AI/ML function at a company with real data, real customers, and a clear vision
