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Staff Machine Learning Engineer

2 months ago

Seattle, Washington, United States Rokt group Full time
{"h1": "Unlock the Power of AI and ML at Rokt", "p": "At Rokt, we're pushing the boundaries of what's possible in ecommerce and beyond. As a Staff Machine Learning Engineer, you'll be part of a dynamic team that's passionate about building innovative solutions using cutting-edge AI and ML technologies.

Our team is responsible for designing, building, and productionizing proprietary machine learning models to solve complex business challenges. We're looking for a seasoned expert who can collaborate closely with product managers and engineers to architect machine learning solutions that drive business growth.

Responsibilities:

* Collaborate with cross-functional teams to understand business priorities and frame machine learning problems
* Design and build production-grade machine learning systems using Python, Golang, Java, or similar languages
* Contribute to the development of high-quality codebase with tests that provide functional and non-functional coverage
* Stay up-to-date with emerging tech and trends, research state-of-the-art deep learning models, and prototype new modeling ideas
* Share knowledge and best practices through brown bags, tech talks, and evangelism

Requirements:

* Bachelor's degree in Computer Science or a similar technical field, or equivalent practical experience
* 5+ years of experience in developing production-grade machine learning systems, preferably with applied ML in Ads
* Experience in Bayesian methods, Reinforcement learning, Deep learning Architectures, and Recommendation systems
* Strong communication and collaboration skills, with a proven track record of meaningful contributions across teams

What We Offer:

* Competitive compensation package, including equity in the company
* Opportunities for career growth and professional development
* Collaborative and dynamic work environment
* Access to cutting-edge AI and ML technologies and tools
* Flexible work arrangements, including remote work options

If you're a seasoned AI/ML expert looking for a new challenge, we'd love to hear from you Apply now and join our team of innovators and problem-solvers."}