Parallel · 8 hours ago
Senior Machine Learning/Computer Vision Engineer
Los Angeles, CA
Full-time
Hybrid
Mid, Senior Level
$150K/yr - $240K/yr
4+ years expParallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation. They are seeking a Senior Machine Learning/Computer Vision Engineer to design and deploy deep learning models for perception systems that enhance the safety and reliability of their autonomous vehicles.
Autonomous VehiclesFreight ServiceGreenTechTransportation
Responsibilities
Design, develop, and deploy advanced machine learning models for large-scale perception problems
Own the full ML lifecycle—from data mining and annotation to training, evaluation, and deployment of production-grade models
Build and optimize deep learning architectures for object detection, segmentation, tracking, pose estimation, and scene understanding
Develop scalable and efficient training pipelines that ensure robust, real-time inference performance
Work extensively with large image, video, lidar and radar datasets to power next-generation computer vision systems
Conduct research and empirical studies to evaluate new architectures, techniques, and algorithmic improvements, incorporating or adapting state-of-the-art methods as appropriate
Build and contribute to infrastructure and tools for supporting ML Pipeline to automate data labeling, training workflows, evaluation processes, and model versioning
Collaborate cross-functionally with other engineering, research, and product teams to ensure seamless integration of ML systems into real-world applications
Qualification
Required
Bachelor's or higher degree in Computer Science, Machine Learning, or a related technical discipline
4+ years of hands-on experience developing and deploying ML systems at scale
Strong background in computer vision and/or deep learning with practical experience in designing and training neural networks for real-world applications
Proficiency in Python and familiarity with standard ML libraries and tools (e.g., NumPy, SciPy, Pandas)
Expertise in at least one deep learning framework such as PyTorch or TensorFlow
Strong mathematical foundation in linear algebra, geometry, probability, and optimization
Proven track record of working autonomously and driving complex technical projects in fast-paced environments
Excellent communication and collaboration skills, with experience working on interdisciplinary teams
Preferred
Experience with multi-modal perception (e.g., sensor fusion from cameras, lidar, radar)
Experience optimizing models for deployment on edge devices with real-time constraints
Background in autonomous systems, robotics, or other safety-critical domains
Publications in top-tier ML or CV conferences (e.g., CVPR, ICCV, NeurIPS, ICML, ECCV)
Experience with GPU/TPU programming and optimization tools (e.g., CUDA, TensorRT)
Knowledge of low-level programming languages like C++ or Rust
Experience working directly with sensing hardware and understanding its constraints
Company
Parallel
Parallel develops autonomous, battery-electric rail vehicles to convert freight from truck to rail.
11-50 employees
H1B Sponsorship
Parallel has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (3)
2023 (3)
2022 (1)
Funding
Current Stage
Growth StageTotal Funding
$91.35MKey Investors
Anthos CapitalCongruent Ventures
2025-04-14Series B· $38M
2022-01-19Series A· $49.55M
2020-06-22Seed· $3.8M
Leadership Team
Matt Soule
CEO and Co-Founder
Benjamin Stabler
Co-Founder, VP of Engineering
Recent News
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