Senior Machine Learning Engineer II, AI & Robotics

August 24

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A self-driving service designed for the cities we love. Sign up to take fully driverless rides: getcruise.com

Self-Driving Cars • Autonomous Vehicles • Robotics • Artificial Intelligence (AI) • Deep Learning

1001 - 5000

Description

• Design and implement shared infrastructure and tooling among the AI Robotics teams • Identify opportunities to unify approaches and increase developer velocity • From a research perspective, exploring, prototyping, validating, and iterating new algorithms • On the development side, driving efforts to optimize, supervise and refine on-road performance for models on the path to production • Identify opportunities to accelerate the training and evaluation process of behavior changes to the vehicle • Build training framework, data infra and metrics pipelines to accelerate the training and feedback loop on AI projects • Own the quality of the development and ensure the solutions are scalable, secure, and optimized for user experience and performance • Raise the bar on engineering excellence by producing best in class of code, documentation, testing, and monitoring • Own technical projects from start to finish and be responsible for major technical decisions and tradeoffs • Effectively participate in team’s planning, code reviews and design discussions • Consider the effects of projects across multiple teams and proactively manage conflicts • Work closely with partner teams to ensure they are benefiting from the systems we built

Requirements

• Bachelors degree in Computer Science and/or equivalent years of experience • Strong experience with C, C++ or Python • 8+ years of experience in machine learning and classification • Extensive experience with ML frameworks such as Tensorflow, Caffe, and PyTorch • Excellent mathematical reasoning skills, especially with probability • Strong understanding of code efficiency/performance and reliability • Outstanding ability to write clean, fast, reliable, and highly scalable software • Experience building, deploying, and operating production-level high-availability full-stack services • Passionate about self-driving technology and its potential impact on the world • BS, MS or PhD in CS, Math, or equivalent real-world experience • Strong organization and communication to work well across teams in a fast-paced environment

Benefits

• Competitive salary and benefits • Medical / dental / vision, Life and AD&D • Subsidized mental health benefits • Paid time off and holidays • Paid parental, medical, family care, and military leave of absence • 401(k) Cruise matching program • Fertility benefits • Dependent Care Flexible Spending Account • Flexible Spending Account & Health Saving Account • Perks Wallet program for benefits/perks • Pre-tax Commuter benefit plan for local employees • CruiseFlex, our location-flexible work policy.