Principal Engineer, Data & ML Infrastructure

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI & Machine Learning, Artificial Intelligence, Software DevelopmentIndustries

Requirements

Candidates must possess a Bachelor's or Master's degree in Computer Science, Data Science, or a related field, with excellent leadership, communication, and problem-solving skills. A proven record of leading a small, diverse team supporting a large user base is required, along with experience in machine learning, data mining, statistical analysis, developing and deploying large-scale cloud frameworks, strong Python programming skills, and experience with large-scale data processing and distributed computing technologies. A Ph.D. in Computer Science or a related field, experience with cloud platforms like AWS, Google Cloud, or Azure, and experience with machine learning in the autonomous driving domain are considered bonus points.

Responsibilities

The Principal Engineer will lead a team of engineers to deliver critical software for autonomous vehicle ML models and software development, driving innovation through research and development of new large-scale data warehousing and analysis. They will own large-scale data analysis workflows to identify impacts of changes to ML models and software, build high-quality datasets for ML product improvement, and provide statistical depth on model performance through error and change analysis. Additionally, they will provide technical leadership and mentorship, foster collaboration, manage project timelines, resources, and deliverables.

Skills

Data Engineering

Machine Learning

Orchestration Frameworks

Data Analysis

AWS

Kubernetes

Data Warehousing

Statistical Analysis

Model Evaluation

Root Cause Analysis

Anomaly Detection

Motional

Develops fully driverless robotaxis for urban transport

About Motional

Motional develops fully driverless vehicles, specifically robotaxis, aimed at transforming urban transportation. Their all-electric robotaxis are designed to navigate complex city environments safely and efficiently. Motional partners with ride-hailing and delivery services, providing them with advanced autonomous vehicle technology to enhance their operations and reduce costs. A unique aspect of Motional's service is its Command Center, which allows for real-time tracking of each robotaxi, enabling human agents to monitor performance and ensure passenger safety. Unlike many competitors, Motional focuses on integrating its vehicles into existing mobility networks, making driverless technology accessible and reliable. The company's goal is to make autonomous vehicles a safe and integral part of urban transportation.

Boston, MassachusettsHeadquarters

2020Year Founded

$5,000MTotal Funding

GROWTH_EQUITY_NON_VCCompany Stage

Robotics & Automation, Automotive & TransportationIndustries

1,001-5,000Employees

Benefits

401K: 401K with up to 7.5% match

time Off: Unlimited sick and vacation days

Transportation: Commuter and fitness benefits

Healthcare: 3 plan options to support diverse needs

IVF: Fertility assistance

Risks

Motional laid off 550 employees, indicating financial and operational challenges.

Aptiv reduced its stake in Motional, impacting operational capabilities.

Delays in autonomous vehicle deployment to 2026 could hinder market entry plans.

Differentiation

Motional offers a state-of-the-art Command Center for real-time robotaxi tracking.

The company focuses on all-electric, driverless robotaxis for urban environments.

Motional partners with ride-hailing services to integrate autonomous vehicles into their operations.

Upsides

Motional raised $475 million from Hyundai, indicating strong financial backing.

Partnerships with Uber and Shake Shack expand Motional's market reach in delivery services.

Increased investment in robotics highlights potential funding opportunities for Motional.

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