Senior Software Engineer, Data & Machine Learning Infrastructure

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AI & Machine Learning, Data InfrastructureIndustries

Requirements

Candidates must possess a BS in computer science or a similar discipline and have over 5 years of experience in architecting and deploying large-scale distributed systems. Required experience includes core AWS services, writing complex SQL queries, common DBMS, data warehousing with parquet manipulation, data processing tools like Spark or Kafka, and production-quality Python development. Strong software engineering principles covering design patterns, configuration management, source control, build processes, code reviews, testing, app containerization, and continuous integration are also necessary. Preferred qualifications include an MS/PhD in computer science, machine learning, statistics, or computer vision, experience with specific ML techniques, data visualization tools, deep learning frameworks, A/B testing, and familiarity with autonomous driving sensors and the domain.

Responsibilities

The Senior Software Engineer will own and develop large-scale mining workflows to identify rare objects, model errors, and long-tail events. They will build high-quality datasets for improving ML products through training and validation, and contribute to data processing pipelines for a billion-scale image search engine. Additionally, the role involves providing statistical insights into model performance and generalization through rigorous error analysis across diverse driving scenarios.

Skills

Data Mining

Machine Learning

Distributed Systems

AWS

RDS

EMR

EKS

OpenSearch

SQL

DBMS

PostgreSQL

MySQL

MongoDB

Data Warehousing

Parquet

Athena

Redshift

BigQuery

Spark

Beam

Kafka

Hadoop

Error Analysis

Data Processing Pipelines

Image Search Engine

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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