Machine Learning Engineer: Perception and Planning

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 revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Unlike conventional autonomy software, our patented 4D Predictive Perception removes reliance on data. By leveraging next-gen 4D sensors, we can precisely predict the motion of all objects, increasing accuracy, lowering latency, and setting a new standard for safety and efficiency in autonomy.

Our team consists of seasoned professionals from across the autonomous vehicle (AV) ecosystem, including OEMs, world‑class research institutions, and leading autonomous driving companies. With a proven track record of successful AV service launches in California, Texas, and Florida, we are well‑positioned to drive the next generation of autonomy.

We are seeking talented, self‑motivated individuals who thrive in a fast‑paced, dynamic environment and are passionate about making a significant impact on the future of mobility. If you’re driven to tackle the most complex challenges in autonomy and push the boundaries of what is possible, we want to hear from you.

Duties and Responsibilities

• Develop deep learning models for a variety of autonomy applications (relevant areas: 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 continuous integration, automated testing, and code reviews.
• Address the real‑world issues encountered during tests or customer deployments.

Qualification and Experience

• Bachelor’s Degree in Computer Science, Mechanical Engineering, Electrical Engineering, or equivalent. Advanced Degrees highly preferred.
• Demonstrated ML Engineering experience developing either Computer Vision models (preferred) or other models (such as LLMs, Finance, Ads, or others).
• Production experience with Deep Learning models (training, fine‑tuning, or deployment).
• Excellent software engineering skills in Python or C++.
• Strong analytical skills in linear algebra, geometry, and probability.
• Experience with a deep learning framework, such as PyTorch, JAX, TensorFlow.

Extra Credit

• Relevant industry experience with low‑latency systems (prior work on self‑driving vehicles, autonomy, and/or robotics projects).
• Experience building models from sensor data: lidar, radar, camera.
• Experience with multi‑modal models.
• Strong academic track record in any field related to machine learning, as evidenced by top‑tier publications.
• Production ML experience with either: Model conversion and optimization for production (ONNX, TensorRT); Model deployment on specialized hardware (e.g. Jetson).
• Ability to lead the ML area as the team grows (for Sr Staff level candidates)

$150,000 - $250,000 a year

BlueSpace.aI is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, gender, religion, sex, sexual orientation, age, disability, military status, or national origin or any other characteristic protected under federal, state, or applicable local law.