Senior Machine Learning Engineer, Simulation
Hybrid Santa Clara Full-time Senior Machine Learning Engineering
At a glance
Senior Machine Learning Engineering role at PlusAI. Santa Clara · full-time · $130,000–$200,000 base.
SalaryStated by PlusAI
$130,000 – $200,000
Base salary for this role, in USD per year, as published in the posting.
This role, from PlusAIOur estimate for the market: $175,000–$217,750Median $213,600
Below the market median of $213,600 for senior machine learning engineering roles in Santa Clara.
Worked out from 5 postings that stated pay, median $213,600. Last updated Oct 3, 2026.
RoleMachine Learning Engineering
SenioritySenior
LocationSanta Clara
WorkplaceHybrid
EmploymentFull-time
Base pay$130,000–$200,000
PostedNov 27, 2024 · 1y ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Build scalable vehicle dynamics models from road-test data, using deep learning and data analysis to improve fidelity
- Examine road-test data for trends, anomalies, and performance measures that can guide model improvements
- Connect data-driven models to simulation pipelines and keep them compatible
- Automate recurring model training, evaluation, and updates
- Work with other teams to reproduce and resolve issues found in real-world road tests
What you bring
- A relevant master’s degree plus at least three years of related experience, or a PhD as a new graduate
- Substantial experience using deep learning for time-series forecasting and data analysis
- Strong Python skills, including work in large codebases
- Working knowledge of modern deep learning models and how they are applied
Who this fits
This senior engineering role suits someone focused on deep learning, road-test data, and vehicle simulation. It is hybrid in Santa Clara, California.
From the employer
PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
We are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
Responsibilities:
- Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
- Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
- Integrate the data-driven models into simulation pipelines with seamless compatibility.
- Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
- Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Required Skills:
- MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
- Extensive experience applying deep learning techniques to time series forecasting and data analysis.
- Proficient in Python with experience working in large codebases.
- Excellent communication skills and the ability to collaborate effectively in a team setting.
- Familiarity with state-of-the-art deep learning models and their applications.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
- Proficient in C++
- Background in autonomous vehicle prediction, planning, and control
- Strong understanding of conventional vehicle dynamics modeling
- Experience with autonomous vehicle or robotics simulation and related concepts