Prediction and Planning - Technical Lead
Lead the ML-first behavior prediction and planning team at Applied Intuition, driving technical leadership and system architecture.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
What you'll build
- Lead the technical roadmap for ML algorithms
- Drive architecture reviews for behavior ML development
- Mentor and guide engineers
- Collaborate with cross-functional leadership
- Shape best practices in engineering
Must have
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- 3+ years of experience building production software
- Proven track record of technical leadership
- Fluency in Python
- Intermediate experience in C++
Nice to have
- Peer-reviewed research at machine learning conferences
- Experience with driver assistance or autonomous driving systems
- Experience in evaluating and improving system-in-the-loop model performance
Practical constraints
- In-office work 5 days a week
Role intensity
40% coding
Requirements
- Experience
- 3+ years
- Education
- Bachelor's degree
Not disclosed in this posting: compensation, visa sponsorship.
Joblaze summary
In the role of Technical Lead at Applied Intuition, the individual will oversee the development of machine learning modules that predict the behavior of road users, ensuring robust system architecture and execution. Key skills include expertise in Python and C++, along with a strong background in production ML software and project leadership. This position is suited for someone with at least three years of experience in software development and a proven ability to mentor engineers. The team operates in a fast-paced environment focused on delivering high-quality autonomous systems.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 11, 2026. Last confirmed on Applied Intuition's careers page October 29, 2026.
- Python appears in 31.5% of 89 comparable lead ai/ml roles in United States; Deep Learning appears in 3.4% of 89 comparable lead ai/ml roles in United States.
Quick facts
- Is the Prediction and Planning - Technical Lead role remote?
- No — this is an on-site role in Sunnyvale.
- How much experience is required?
- At least 3 years of relevant experience for this Prediction and Planning - Technical Lead role.
- Where is the role based?
- Applied Intuition is hiring for this position in Sunnyvale.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, Deep Learning, Machine Learning, Python.
- What seniority level is this role?
- Applied Intuition targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Prediction and Planning - Technical Lead role at Applied Intuition.
From the original posting
About the role
We are looking for a Technical Lead to provide technical leadership, end-to-end system ownership, and architectural direction for our ML-first behavior prediction and planning team. In this role, you will lead the development of ML-first behavior modules that predict future trajectories and interactions of road users, guide key architectural decision-making, and mentor a team of talented engineers. You will work closely with perception leadership on training data generation and with planning leadership on ML-based planner development, while collaborating with research teams on state-of-the-art architectures. Your leadership will drive tangible impact across diverse domains, including passenger vehicles, trucking, and mining.
In addition to your technical and architectural contributions, you will foster engineering excellence, mentor team members, and shape best practices in a dynamic and customer-focused environment. We move fast and focus on excellence for our products and business. If you are a hands-on leader eager to have a multiplying effect on making autonomous systems a reality, Applied Intuition is the place for you!
At Applied Intuition, you will:
Lead the technical roadmap, system architecture, and execution for ML algorithms that generate driving trajectories for autonomous vehicles and other road users
Drive architecture reviews and leverage established products at Applied Intuition to build scalable software and infrastructure foundations for behavior ML development
Mentor and guide engineers while collaborating with cross-functional leadership, perception, planning, and research teams on state-of-the-art models and techniques
We’re looking for someone who has:
Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
Proven track record of technical leadership, including leading complex projects, mentoring engineers, and influencing architectural direction
Proven track record of shipping production ML software in complex, real-world environments
Expertise in at least one of the following subdomains: modeling, input pipelines, evaluation, deployment, or model optimization.
Experience with the end-to-end development cycle of deep learning models
3+ years of experience building production software using modern software practices
Fluency in Python with intermediate experience in C++
Nice to have:
Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
Experience with driver assistance or autonomous driving systems
Experience in evaluating and improving system-in-the-loop model performance
Standard company text repeated across Applied Intuition's postings is omitted here.