Principal Machine Learning Engineer
Mission Lane$210,000 - $256,000/year
- Full Time
- Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, Data Engineering, Cloud ComputingIndustries
Position Overview
- Location Type: Not Specified
- Employment Type: Not Specified
- Salary: Not Specified - Estimated Range
- Mission Summary: We are seeking a talented Principal Engineer to lead a team by building, improving, and maintaining robust large scale data processing and transformation pipelines. The team is responsible for building scalable pipelines to perform extraction of information from AV (autonomous vehicle) logs, transformation of data into different formats that can be consumed by downstream services, and for building interfaces to enable easy access to the data. We deal with data on the petabyte scale and provide critical functions to improve the development of a reliable AV. This is a hands-on role with people management responsibilities.
Responsibilities
- Lead and provide mentorship to a team of engineers both technically and professionally.
- Manage and drive team timelines, project commitments, and roadmap deliverables.
- Work closely with users, leadership, and stakeholders to align and coordinate product design, project execution, and operational usage in setting and achieving objectives and key results.
- Design, build, and maintain scalable data processing and access with cloud ETL technology.
- Implement interfaces to enable self service data pipelines.
- Write high quality, maintainable code to process terabytes of data.
- Lead and champion high-level system design and quality code reviews/technical contributions.
- Ability to take a strong sense of ownership and responsibility for mentoring engineers.
Requirements
- Experience: 5+ years of professional experience as a data engineer or data pipeline engineer
- Education: BS or MS in Computer Science or related field
- Technical Skills:
- Expertise with Python programming
- Expertise with AWS services and solutions (EKS, Lambda, ETL)
- Experience with distributed system design and development
- Soft Skills:
- Strong written and oral communication skills
- Comfortable working in a fast-paced, continuous delivery environment
Bonus Points (Not Required)
- Experience with Infrastructure Monitoring
- Experience working in cross-functional development teams
- Experience working with microservices
- Experience with people management
Application Instructions
- Not Specified - Application instructions are missing from the provided text
Company Information
- Not Specified - Company information is missing from the provided text
Skills
Python
AWS
EKS
Lambda
ETL
Distributed Systems
Data Pipelines
Data Processing
System Design
Code Review
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