October 11
•Contribute to the development of technology for better Machine Learning. •Educate community of ML practitioners on accelerating training and inference workloads. •Work with core AI technology partners like NVIDIA, AMD, and Intel. •Drive visibility and usage of integrations with strategic partners. •Publish technical blog posts and contribute documentation and code examples. •Engage positively with the ML community.
•Passionate about ML Engineering and building practical AI applications. •Comfortable public speaking to technical audiences. •Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc). •Experience in Open Source development is helpful.
•Flexible working hours and remote options. •Health, dental, and vision benefits for employees and their dependents. •Parental leave and flexible paid time off. •Opportunity to visit office spaces in NYC and Paris. •Workstation outfitting to ensure success. •Company equity as part of compensation package.
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