Machine Learning Engineer

AutoX; San Jose (CA); On-site; USD 75,000 - 300,000; Full time

Job summary

An innovative company is seeking a skilled Machine Learning Engineer to enhance the realism of autonomous vehicle simulations. This role involves fine-tuning advanced models and collaborating with cross-functional teams to optimize simulation systems. Ideal candidates will have a strong background in deep learning and experience with generative models. Join a forward-thinking team dedicated to pushing the boundaries of technology in the autonomous vehicle space, where your expertise will contribute to groundbreaking advancements in the industry.

Qualifications

• 2+ years of experience in generative models, DNN, GAN/VAE, reinforcement learning.
• Strong C++ or Python coding skills and system design expertise.

Responsibilities

• Fine-tune pre-trained LLM/VLM models to generate realistic scenarios.
• Collaborate with software engineers and data scientists to improve scene generation.

Skills

Deep Learning Experience

AV Simulation Experience

C++

Python

SQL

Analytical Skills

Problem Solving Skills

Communication Skills

Education

Master's degree in Computer Science

Equivalent practical experience

Job description

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This range is provided by AutoX. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$75,000.00/yr - $300,000.00/yr

WorldGen and Sim Realism Machine Learning Engineer (all levels)

Must Have: Deep Learning Experience and AV Simulation experience (Please apply only if you have these)

• Responsibilities: Fine-tune pre-trained LLM/VLM models to generate realistic scenarios.
• Develop ML models or fine-tune pre-trained ML models to enhance simulator and sim agents' realism to maximize issue discovery coverage and ensure high precision of sim-discovered bugs.
• Optimize ML models’ qualities and performance, and integrate them into large-scale simulation systems.
• Develop novel methods to measure simulation realism across various simulator technologies and applications.
• Create systems that automatically discover useful realism metrics to guide simulator development.
• Collaborate with software engineers and data scientists to improve scene generation, scene reconstruction, and the realism of simulators and agents, supporting AutoX autonomous vehicle evaluation.

Qualifications:

• Master's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• 2+ years of experience in generative models, DNN, GAN/VAE, reinforcement learning, LLM/VLM.
• 2+ years of experience working on large-scale software products.
• Strong C++ or Python coding skills and system design expertise.
• Proficiency in SQL and handling large databases.
• Excellent communication, analytical, and problem-solving skills.
• Experience mentoring or influencing junior engineers.

Preferred Skills:

• 2+ years navigating complex product spaces and setting technical roadmaps.
• Experience with autonomous vehicle technology or robotics.
• Experience leading cross-functional collaborations.

Application Instructions: Send your resume to [e-mail] with Job ID: 74.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Other

Industries

• Technology, Information and Internet, Appliances, Electrical, and Electronics Manufacturing, Robotics Engineering