ML Engineer: Perception & Planning for Autonomy

Bluespace; Oakland (CA); On-site; USD 150,000 - 250,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Competitive salary

Job summary

BlueSpace.ai is seeking talented, self‑motivated ML engineers to develop deep learning models for autonomy (object detection, classification, segmentation, behavior prediction, end‑to‑end driving) and to advance state‑of‑the‑art ML in vehicles.

You will research, design, train, fine‑tune, and deploy models on self‑driving cars and in data centers, build data pipelines, and ensure reliable software through CI, testing, and reviews.

Qualifications

• Bachelor’s degree in CS/EE/ME or equivalent; advanced degrees preferred.
• ML engineering experience with CV models or other models (LLMs, finance, ads).
• Production experience with deep learning models (training, fine-tuning, deployment).
• Excellent software engineering skills in Python or C++.
• Strong math skills in linear algebra, geometry, probability.
• Experience with DL frameworks: PyTorch, JAX or TensorFlow.

Responsibilities

• Develop deep learning models for autonomy applications (object detection, classification, segmentation, behavior prediction, end‑to‑end driving).
• Research, design, improve, and implement state‑of‑the‑art ML algorithms and deploy them onto self‑driving vehicles and in datacenters.
• Identify or collect the required datasets and implement data processing pipelines.
• Deliver reliable software through CI, automated testing, and code reviews.
• Address the real‑world issues encountered during tests or customer deployments.

Skills

Deep learning

Computer Vision

ML Engineering

Python

C++

Data pipelines

CI/CD

Low-latency systems

Education

Bachelor’s degree in CS/EE/ME

Advanced degree preferred

Tools

PyTorch

JAX

TensorFlow

ONNX

TensorRT

NVIDIA Jetson

Job description

BlueSpace.ai is seeking talented, self‑motivated ML engineers to develop deep learning models for autonomy (object detection, classification, segmentation, behavior prediction, end‑to‑end driving) and to advance state‑of‑the‑art ML in vehicles.

You will research, design, train, fine‑tune, and deploy models on self‑driving cars and in data centers, build data pipelines, and ensure reliable software through CI, testing, and reviews.