BlueSpace
Machine Learning Engineer: Perception and Planning
BlueSpace, Oakland, California, United States, 94616
Overview
BlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Our patented 4D Predictive Perception removes reliance on data by leveraging next-gen 4D sensors to predict the motion of all objects, increasing accuracy, lowering latency, and driving safety and efficiency in autonomy. Our team includes seasoned professionals from across the AV ecosystem, with a proven track record of successful AV service launches in California, Texas, and Florida. 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. Duties and Responsibilities
Develop deep learning models for a variety of autonomy applications (relevant areas include object detection, classification, segmentation, behavior prediction, and 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 required datasets and implement data processing pipelines. Deliver reliable software through continuous integration, automated testing, and code reviews. Address 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 computer vision models (preferred) or other models (e.g., 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, or 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, and camera. Experience with multi-modal models. Strong academic track record in machine learning as evidenced by top-tier publications. Production ML experience with model conversion/optimization (e.g., ONNX, TensorRT) or deployment on specialized hardware (e.g., Jetson). Ability to lead the ML area as the team grows (for Senior Staff level candidates). Compensation
$150,000 - $250,000 a year Equal Opportunity
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.
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BlueSpace.ai is revolutionizing the autonomous vehicle industry with our groundbreaking self-driving technology. Our patented 4D Predictive Perception removes reliance on data by leveraging next-gen 4D sensors to predict the motion of all objects, increasing accuracy, lowering latency, and driving safety and efficiency in autonomy. Our team includes seasoned professionals from across the AV ecosystem, with a proven track record of successful AV service launches in California, Texas, and Florida. 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. Duties and Responsibilities
Develop deep learning models for a variety of autonomy applications (relevant areas include object detection, classification, segmentation, behavior prediction, and 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 required datasets and implement data processing pipelines. Deliver reliable software through continuous integration, automated testing, and code reviews. Address 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 computer vision models (preferred) or other models (e.g., 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, or 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, and camera. Experience with multi-modal models. Strong academic track record in machine learning as evidenced by top-tier publications. Production ML experience with model conversion/optimization (e.g., ONNX, TensorRT) or deployment on specialized hardware (e.g., Jetson). Ability to lead the ML area as the team grows (for Senior Staff level candidates). Compensation
$150,000 - $250,000 a year Equal Opportunity
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.
#J-18808-Ljbffr