Software Engineer - Machine Learning

March 7, 2023

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Ozone

WebsiteLinkedInAll Job Openings

cloud and video editing

2 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

Description

• Collaborate with core team to design the future of the product • Provide insight into customers, business, and growth opportunities • Work closely with design team to maintain product requirements • Apply engineering best practices throughout development, testing, and deployment phases • Help grow the engineering team with a focus on diversity and unique perspectives • Experience in machine learning and computer vision pipelines • Overview of state-of-the-art ML libraries and practices • Proficient in Tensorflow, OpenCV, FFMPEG, Rust, and Python • Experience shipping and deploying code in a production product • Strong communicator with high EQ and people skills • Experience in early-stage startups and AI research • Ozone is an equal opportunity employer

Requirements

• Bachelor's degree in Computer Science or related field • Minimum 4 years of relevant industry experience • Excellent ability to apply machine learning and computer vision pipelines • Excellent overview over state-of-the-art ML libraries and practices • Strong proficiency in Tensorflow, OpenCV, FFMPEG, Rust, and Python • Experience shipping and deploying code in a production product • Strong communicator with high-EQ and people skills • Experience in Early-stage startups • C++ experience • AI research experience

Benefits

• Opportunity to work with a core team to design the future of the product • Chance to give insight into the customers, business, and growth of the organization • Collaborate closely with the design team to maintain product requirements • Opportunity to help grow the team by striving to create an engineering organization that values diversity and unique perspectives • Apply engineering best practices throughout the development, testing, and deployment phases • Need to have experience in early-stage startups • Open to applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status