Software Engineer, ML Ops

Singapore, Singapore

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Driving, AI & Machine Learning, BiotechnologyIndustries

Requirements

Candidates should possess a BS or MS in Computer Science or a related field, with strong knowledge of software engineering principles. Expertise in Python or Go, and experience with AWS services or other Cloud platforms are required. Experience with the various stages of the ML development lifecycle and strong written and oral communication skills are also necessary. Experience with ML frameworks such as PyTorch or Ray, and Kubernetes are considered a plus.

Responsibilities

The Software Engineer, ML Ops will collaborate with ML engineers and data scientists to understand their needs and develop tools and processes to streamline the ML development lifecycle. They will participate in the design, development, and optimization of core ML infrastructure, leveraging Kubernetes to build robust solutions. The role also involves driving best practices in software engineering, including code quality, testing, and system reliability, within the ML platform.

Skills

Python

AWS

Cloud Platforms

Kubernetes

PyTorch

Ray

ML Ops

ML Infrastructure

Software Engineering Principles

Code Quality

Testing

System Reliability

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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