ML Perception Engineer for Real-World Autonomy | Early Equity

well-funded deeptech startup; California (MO); On-site; USD 100,000 - 140,000; Full time

Benefits offered by this job

Competitive base

Early equity

High visibility

Job summary

Join a well-funded deeptech startup in California focusing on building ML-driven autonomy for outdoor environments. This role emphasizes building state-of-the-art perception models and optimizing them for real-time embedded inference. Work closely with a small, high-caliber team where your contributions will have a big impact.

The ideal candidate has over 5 years of experience in robotic perception and strong skills in C++ and Python. A hands-on, collaborative mindset is essential, alongside competitive compensation and equity opportunities.

Qualifications

• 5+ years in robotic perception/ML.
• Strong C++ and Python skills.
• Deep learning and practical deployment experience.

Responsibilities

• Build state-of-the-art perception models.
• Optimize embedded inference for real-time applications.
• Manage cloud-based training and dataset curation.

Skills

Robotic perception

C++

Python

Deep learning fundamentals

Embedded experience

Job description

Join a well-funded deeptech startup in California focusing on building ML-driven autonomy for outdoor environments. This role emphasizes building state-of-the-art perception models and optimizing them for real-time embedded inference. Work closely with a small, high-caliber team where your contributions will have a big impact.

The ideal candidate has over 5 years of experience in robotic perception and strong skills in C++ and Python. A hands-on, collaborative mindset is essential, alongside competitive compensation and equity opportunities.