Machine Learning Engineer, Aeva

Perception

$154.9-222.4k

Python

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Mountain View, CA

4DLiDAR for autonomous naviation

Be an early applicant

4DLiDAR for autonomous naviation

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Be an early applicant

$154.9-222.4k

Python

PyTorch

Junior, Mid and Senior level

San Francisco Bay Area

Office located in Mountain View, CA

201-500 employees

B2BArtificial IntelligenceEnterpriseAutomation

Company mission

To bring the next wave of perception to a broad range of applications from automated driving to industrial robotics, consumer electronics, consumer health, security, and beyond.

Job

Company

Role

Who you are

MS or PhD in CS, Robotics, or a related field
Hands-on experience with 3D object detection on LiDAR point clouds
Experience using VLMs for auto-labeling or offline perception tasks
Strong Python and PyTorch skills
Familiarity with large-scale dataset pipelines and annotation workflows
Experience with multi-object tracking or sensor fusion is a plus

What the job involves

As an ML Engineer on our perception team, you will own the development and deployment of 3D perception models across object detection, semantic segmentation, and lane detection. Your work will directly shape how our autonomous systems perceive and understand the world
Train and evaluate 3D perception models for object detection, segmentation, and lane detection
Improve model performance across challenging conditions such as long range and sparse point clouds
Deploy perception models to production and own the full lifecycle from research to real-world integration
Diagnose and resolve deployment issues including latency, accuracy degradation, and edge case failures in the field
Monitor model performance in production and iterate rapidly based on real-world feedback
Build auto-labeling pipelines using vision-language models to accelerate data annotation

Our take

The development of self-driving cars presents enormous opportunities for transportation, shipping, and ride-hailing industries, but getting these cars to run flawlessly is difficult. Cameras and radar sensors are used to detect obstacles for safe automated driving, but existing technology does not analyze enough data to meet these expectations.

Aeva builds sensory perception technology that maps the physical world around a vehicle on a granular basis to contribute towards the development of fully self-driving cars. The sensory system relies on what the company describes as being the world’s first 4D LiDAR-on-Chip. This technology comprises sensors that detect objects and events up to 300m away, recognize velocity-per-pixel, and are immune to interference from neighbouring frequencies.

Companies such as Tesla are already developing successful and safe fully self-driving software for their cars, but Aeva's approach to LiDAR presents some serious competition to the existing camera-based technology. Despite further competition from Luminar and Velodyne, Aeva remains unique and has even secured a partnership with NVIDIA to integrate its 4D LiDAR into the DRIVE Hyperion autonomous vehicle platform, placing its technology at the core of how future self-driving cars will see, understand, and safely navigate the road.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

5% employee growth in 12 months

Glassdoor (3)

Company

Funding (2 rounds)

Oct 2018

$45m

SERIES A

Jan 2017

$3.5m

SEED

Total funding: $48.5m

Company HQ

Mountain View, CA

Leadership

Soroush Salehian

(Co-Founder & CEO)

Studied Mechanical Engineering at Stanford before founding BlueLibris in June 2010. They then spent almost 5 years as an Apple Product Development Manager before co-founding Aeva in January 2017.

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