Senior Machine Learning Engineer

March 8

🏡 Remote – Anywhere in California

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Logo of Cavnue

Cavnue

Cavnue is building the future of roads. Fast Company 2021 Innovation by Design Honorable Mention

51 - 200

💰 $130M Series A on 2022-04

Description

• Develop applied solutions for real-world, complex problems in autonomous robotics and road transportation • Build real-world, production-scale AI capabilities to help solve practical but critical engineering challenges. • Design for each stage in the ML model lifecycle: development, training, evaluation, and deployment. • Work with the Product and Systems Engineering teams to ensure that the right data sets are being collected for relevant tasks at varying geospatial and temporal scales • Design, build and work with high-quality ML infrastructure and data pipelines, define production code standards, conduct code reviews, and work alongside infrastructure, reliability, and hardware engineering teams. • Expand Cavnue’s competitive advantage by identifying, investigating, understanding and applying emerging AI and AI-adjacent technologies or developing novel ML and CS techniques.

Requirements

• Bachelor’s Degree, or higher-level degree, in Computer Science, Engineering, or related quantitative field that demonstrates knowledge of AI, machine learning, optimization, random processes, sensor signal processing, or mathematical modeling • 5+ of work experience, preferably in the autonomous vehicle or robotics space • Familiarity with latest in productionized computer vision technologies and algorithms, particularly deep learning, reinforcement learning, classification, and pattern recognition. • Experience developing reliable production-level applications • Ideal candidates will also have experience in statistical signal processing and its application to sensor data or experience leveraging the latest techniques in deep learning for computer vision • Experience with large-scale data structures and data pipelines, data modeling, software architectures, and the latest ML libraries and frameworks e.g. TensorFlow, Pytorch. Python experience required.

Benefits

• Medical, dental, vision, life insurance, and disability insurance • 401(k) with 4% company contribution • Parental, childbirth, and adoption leave • Fertility and infertility coverage benefits • Wellness perks including access to on-demand primary care, virtual health appointments, and online mental health therapy • Generous PTO policy, including paid year-end holiday shut down • Learning and development opportunities • Top of the line equipment for our team members

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