BLACKBIRD. AI is a company that specializes in narrative intelligence, providing solutions to protect organizations from narrative attacks that can harm public perception and cause financial and reputational damage. Their Constellation Narrative Intelligence Platform helps identify and prioritize risks by analyzing narratives, influencers, networks, bot campaigns, and associated cohorts. Blackbird. AI serves a variety of sectors, including corporate intelligence, finance, and national security, and is known for its awards in AI-driven narrative protection technology.
AI • Deception Detection • Disinformation • Misinformation • Narrative Intelligence
February 12
BLACKBIRD. AI is a company that specializes in narrative intelligence, providing solutions to protect organizations from narrative attacks that can harm public perception and cause financial and reputational damage. Their Constellation Narrative Intelligence Platform helps identify and prioritize risks by analyzing narratives, influencers, networks, bot campaigns, and associated cohorts. Blackbird. AI serves a variety of sectors, including corporate intelligence, finance, and national security, and is known for its awards in AI-driven narrative protection technology.
AI • Deception Detection • Disinformation • Misinformation • Narrative Intelligence
BLACKBIRD.AI protects organizations from narrative attacks that cause financial and reputational harm. • Our Constellation AI-driven Narrative Intelligence Platform identifies key narratives that impact an organization/industry, the influence behind them, the networks they touch, the anomalous bot behavior that scales them, and the cohorts and communities that connect them. • This information enables organizations to proactively understand narrative threats as they scale and become harmful for better strategic decision-making. • You will optimize data pipelines for our advanced real-time streaming cloud-hosted analytics platform and lead the development of new features and capabilities. • Your role will be pivotal in shaping the future of our platform, tackling challenging data problems. • You will work with our AI research and development team and be responsible for cutting-edge applications in machine learning. • Responsibilities include writing ETL processes, designing databases, and developing tools for query and analytic processing, focusing on real-time streaming applications. • You will also ensure performance tradeoffs, own the database architecture, and lead build automation, continuous integration, and deployment efforts while adhering to security requirements. • Design real-time distributed data processing systems and focus on research in information extraction, multilingual NLP, and more. • Oversee large custom datasets gathering and annotating for various tasks. • Conduct performance analysis and strategic decisions on tradeoffs. • Develop and oversee database architecture for our analytics platform. • Spearhead CI/CD efforts while securely and scalably designing REST APIs.
What you’ll bring: • Bachelor's degree in Computer Science or a related field. • Minimum of 5 years of experience in data engineering and building data platforms. • Minimum of 2 years of professional experience in Machine Learning or a closely related field, demonstrating a track record of successfully delivering novel research and/or product offerings. • Demonstrated success in deploying cloud and SaaS model products, with expertise in building optimized processing pipelines for streaming analytics applications. • Proficiency in databases and query optimization (PostgresSQL, ElasticSearch, MongoDB, Redis, Druid), including experience with NoSQL and graph databases. • Experience in horizontally scaling databases. • Expertise in Kafka and Airflow, with a strong understanding of runtime profiling tools. • Experience in big data processing systems similar to Apache Spark, Flink, Beam or similar. • Strong skills in build automation, continuous integration, and deployment (CI/CD) tools. • Expert-level Python coding skills. • Project management skills and the ability to lead development initiatives. Desirable Skills: • Familiarity with AWS and other cloud services. • Experience with MLOps frameworks like Kubeflow, MLFlow, or similar. • Technical background or experience in AI/ML deployments. • Ability to create unique datasets for scientific analysis or benchmarking. • Capability to contribute to system architecture enhancements to improve scalability, testability, and robustness. • Experience with generative models for generating fake text or images. • A history of top performance in online competitions or hackathons, such as Kaggle. • Published research in areas related to machine learning, NLP, Computer Vision, or its applications. • Contributions to open-source machine learning projects or related initiatives, including platforms like Github and HuggingFace.
Why you’ll love working here: • Competitive compensation package, 401(k), and equity - everyone has a stake in our growth! • Comprehensive health benefits for you and your loved ones, including wellness days and monthly wellness reimbursements - an apple a day doesn’t always keep the doctor away! • Generous vacation policy, encouraging you to take the time you need - we trust you to strike the right work/life balance! • A flexible work environment with opportunities to collaborate with your team in person - you can have it all! • Inclusion and Impact - soar to new heights! • Professional development stipend - never stop learning!
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