# Software Engineer - Prediction and Planning ML

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Sunnyvale, CA
**Role:** ML Engineering
**Salary:** $151k – $258k/yr
**Experience:** 3+ years
**Skills:** Machine Learning, Deep Learning, C++, Python, modeling, input pipelines, Model Evaluation, model deployment, model optimization, autonomous driving
**Posted:** 2026-08-12

> Develop and deploy ML-first behavior prediction and planning systems for autonomous vehicles, forecasting the motion and interactions of road users. Requires a bachelor's degree, deep learning lifecycle expertise, and at least three years of production software experience with C++ or Python.

## Job Description

## Responsibilities
- Prototype, evaluate, refine, and deploy state-of-the-art machine learning algorithms that predict the future motion of the ego agent and other road users.
- Build the software and infrastructure foundation for behavior-specific machine learning development using established Applied Intuition products.
- Collaborate closely with perception and planning engineers on cross-team initiatives.

## Requirements
- Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or a related field.
- Experience with the end-to-end development cycle of deep learning models.
- Expertise in modeling, input pipelines, evaluation, deployment, and model optimization.
- **3+ years** of experience building production software using modern software practices.
- Fluency in C++, or fluency in Python with intermediate experience in C++.

## Nice to Have
- Peer-reviewed research at machine learning conferences such as NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA.
- Experience with driver assistance or autonomous driving systems.
- Experience evaluating and improving system-in-the-loop model performance.

## Compensation and Benefits
- Base salary range of **$151,000–$258,000**.
- Compensation may also include equity, comprehensive health, dental, vision, life and disability insurance, 401(k) retirement benefits with employer match, learning and wellness stipends, and paid time off.
- Actual compensation may vary based on experience, credentials, education, skills, interview performance, and position scope.

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