As a Software Engineer at Speechify, you will be joining the Data side of our AI team, playing a crucial role in all aspects of data collection to support our model training operations. Your responsibilities will include:
Being scrappy to find new sources of audio data and integrating them into our ingestion pipeline. - Operating and extending the cloud infrastructure for our ingestion pipeline, currently based on GCP and managed with Terraform. - Collaborating closely with our Scientists to enhance the cost/throughput/quality frontier, ensuring richer data at a larger scale and lower cost for our next-generation models. - Working with the AI Team and Speechify Leadership to develop the dataset roadmap for powering Speechify's future consumer and enterprise products. To be an ideal candidate for this role, you should possess:
A BS/MS/PhD in Computer Science or a related field. - 5+ years of industry experience in software development. - Proficiency in bash/Python scripting in Linux environments. - Expertise in Docker and Infrastructure-as-Code concepts, along with professional experience with at least one major Cloud Provider (GCP is our choice). - Experience with web crawlers and large-scale data processing workflows is a plus. - Ability to multitask and adapt to changing priorities. - Strong communication skills, both written and verbal. At Speechify, we offer a dynamic environment where you can contribute to shaping the company and product. You will work with an entrepreneurial-minded team that values risk-taking, intuition, and hard work. Our hands-off management approach allows you to focus on delivering your best work. Additionally, you will have the opportunity to make a significant impact in a transformative industry, work on a life-changing product that supports individuals with learning differences, and be part of the rapidly growing field of artificial intelligence and audio technology. If you believe you are a good fit for this position, we encourage you to apply by sharing more about yourself and your interest in the role. Don't forget to include links to your portfolio and LinkedIn. If this opportunity is not for you but you know someone who would thrive in this role, feel free to refer them. As a Software Engineer at Speechify, you will be joining the Data side of our AI team, playing a crucial role in all aspects of data collection to support our model training operations. Your responsibilities will include:
Being scrappy to find new sources of audio data and integrating them into our ingestion pipeline. - Operating and extending the cloud infrastructure for our ingestion pipeline, currently based on GCP and managed with Terraform. - Collaborating closely with our Scientists to enhance the cost/throughput/quality frontier, ensuring richer data at a larger scale and lower cost for our next-generation models. - Working with the AI Team and Speechify Leadership to develop the dataset roadmap for powering Speechify's future consumer and enterprise products. To be an ideal candidate for this role, you should possess:
A BS/MS/PhD in Computer Science or a related field. - 5+ years of industry experience in software development. - Proficiency in bash/Python scripting in Linux environments. - Expertise in Docker and Infrastructure-as-Code concepts, along with professional experience with at least one major Cloud Provider (GCP is our choice). - Experience with web crawlers and large-scale data processing workflows is a plus. - Ability to multitask and adapt to changing priorities. - Strong communication skills, both written and verbal. At Speechify, we offer a dynamic environment where you can contribute to shaping the company and product. You will work with an entrepreneurial-minded team that values risk-taking, intuition, and hard work. Our hands-off management approach allows you to focus on delivering your best work. Additionally, you will have the opportunity to make a significant impact in a transformative industry, work on a life-changing product that supports individuals with learning differences, and be part of the rapidly growing field of artificial intelligence and audio technology. If you believe you are a good fit for this position, we encourage you to apply by sharing more about yourself and your interest in the role. Don't forget to include links to your portfolio and LinkedIn. If this opportunity is not for you but you know someone who would thrive in this role, feel free to refer them.