Software Engineer - AI Data

We build high-quality datasets at petabyte scale and low cost by combining engineering, infrastructure, and research. We’re looking for a strong software engineer who enjoys solving complex problems, exploring new data sources, and building systems that make AI training more efficient and scalable.

What You’ll Do:

• Discover new sources of audio data and build reliable pipelines to bring them into our training datasets.
• Build and improve large-scale data-processing systems, optimizing for data quality, throughput, and cost.
• Collaborate closely with AI Scientists to improve training datasets and support the development of next-generation models.
• Take ownership of engineering projects from problem discovery through implementation and continuous improvement., Develop and operate CrowdStrike’s internal cloud management platform and mission-critical CI/CD pipelines. Build APIs and UIs using Go and TypeScript, improve developer productivity, integrate tooling, maintain cloud-native infrastructure, and support secure, highly available software delivery systems. Collaborate with development, infrastructure, security, and SRE teams, ensure SOC2-aware processes, and participate in on-call operations. Top Skills: AlertmanagerArgo CdArgo WorkflowsCi/CdDebianDockerGoGoreleaserGrafanaHelmJavaScriptJenkinsKubernetesKustomizeLinuxPrometheusPulumiPypiTemporalTerraformTypescript PNC Bank

• A degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of professional software engineering experience, with strong backend development fundamentals.
• Proficiency in Python and Bash in Linux environments.
• Experience building and operating production systems, ideally involving data pipelines or large-scale data processing.
• Strong problem-solving skills, initiative, and the ability to work independently in ambiguous environments.

Nice to Have

• Experience with web crawlers, data acquisition, or distributed data-processing systems.
• Experience with cloud infrastructure and Infrastructure as Code, particularly GCP and Terraform.
• Familiarity with ML training data, dataset quality, or audio processing.

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience, 41K-83K Annually Mid level 41K-83K Annually Mid level Machine Learning * Payments * Security * Software * Financial Services Provides high-volume technical support through phone, ticketing, and chat channels. Troubleshoots hardware, software, network, access, and application issues; manages incidents in ServiceNow; handles escalations; and communicates solutions to nontechnical users. Guides junior analysts, supports knowledge management and training, analyzes trends, recommends process improvements, and contributes to IT service efficiency and compliance. Top Skills: ItilItsmServicenow

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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high-growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.