What We Do at Anno

By 2025, the world will generate over 460 exabytes of data per day! Cameras will record 50 billion hours of daily video, while an additional 30 billion IoT devices will collect data from other sensor types. The dawn of the Artificial Intelligence (AI) Era will unlock value from this data in use cases spanning massive markets including: supply chain, retail, marketing, national security, and law enforcement.

Founded in 2019, Anno.Ai builds AI-first applications designed to seamlessly enable powerful new end user capabilities. Driven to serve our customers mission and business needs, Anno.Ai’s applications are built to leverage machine learning (ML) and advanced analytics behind the scenes, delivering the valuable insights our customers need in a slick, easy to use interface. The result is AI that creates unbelievable and sustainable value for our customers: "this is science fiction made real." 

Anno's team consists of researchers, former intelligence officers, military veterans, law enforcement, repeat startup founders, video game creators, hardware designers, and software engineers. Annomals are currently based in nine US states and three countries. The result is a hive of exciting innovation that has generated novel technologies and broken new ground in the field of AI. 

While the human brain devotes 40% of its resources to vision, AI hasn't even begun to tap the potential of video and imagery. We experienced rapid growth in 2021 with a $15M Series A, 40+ team members, and nearly 3X revenue growth, Anno is surging forward into 2022 with broad customer acquisition and additional key hires. Anno is looking for curious minded people who are passionate about developing themselves while making a true impact in the world. Our teams work together collaboratively to solve problems and our culture remains one of excitement, innovation, grit, and comradery. 

At Anno.Ai, diversity and inclusion have always been core values, and we are proud to have built a team that is united in purpose while drawing strength from our broad range of life experiences and backgrounds. As a leader in ethical AI/ML, we know that building a diverse team is a crucial aspect of developing fair and robust ML products. The Anno.Ai team is supportive and curious; we care deeply about supporting each other’s growth and we approach hard problems with a sense of humor and collaboration.

Position Overview

At Anno.Ai, our engineers design, develop, test, integrate, document, deploy, and maintain production sensor analysis systems to support our ubiquitous data fusion machine learning (ML) and analytics engine.  As a senior data engineer supporting the data operations team, you will work directly with other infrastructure, back-end, front-end, data science, and platform teams to deliver high quality and performance physical intelligence systems.

For this position, we are looking for a highly skilled career professional senior data engineer with real world experience architecting big data pipelines. As a senior data engineer on our data operations team, you will design, build, and maintain Anno’s data and cloud infrastructure. You are responsible for driving the architecture and creation of a mission critical, fast, and scalable cloud data pipeline platform to ensure trusted and uninterrupted data access to our systems. You will be charged with direct execution of Anno.Ai’s data strategy.

Responsibilities

  • You will design and build scalable infrastructure platforms to collect and process large amounts of structured and unstructured data that will be consumed in real-time
  • You will be responsible for making decisions regarding data storage, technology selection, organization, and solution design in conjunction with software engineering and product management teams
  • You will be tasked with identifying and executing on best practices
  • You will work on automating data pipelines, creating data models, and monitoring and ensuring optimal performance
  • You will conduct root cause analyses of performance and instability of systems with respect to accuracy and performance
  • You will build and maintain data infrastructure
  • You will create observability tooling to help other teams debug, understand, and tune their big data jobs and pipelines
  • You will assist and mentor other teams with building and managing their data pipelines
  • You will identify and write tools to automate data processes and deployments to drive process improvements 
  • You will create maintainable, scalable code to address data needs 
  • You will help bring in new technologies and develop innovative approaches to the data challenges we face
  • You will apply your honesty, strong sense of morals and ethics, and sense of responsibility towards making those around you smarter, stronger, and kinder
  • Other duties as assigned

Skills & Talents

  • You can balance the need to ship code with the need to optimize quality as needed according to business conditions
  • You clearly and effectively communicate complicated systems, code, methods, and results to a broad, often non-technical audience
  • You are creative and enjoy solving new challenging problems
  • You translate insights into business recommendations
  • You are self-aware; you know what you are good at and what you are not; you know what you need to be productive and successful
  • You can navigate disagreement gracefully, give others the benefit of the doubt, and work well on a team
  • You have excellent analytical, problem solving and technical skills
  • You have the ability to learn and leverage new technologies
  • You have a basic understanding of privacy and security
  • You have an organized work ethic
  • You have a humble attitude and a desire to learn

Experience & Qualifications

  • Bachelor of Science in engineering from an accredited academic institution and 5+ years of computer or software engineering experience, or an accredited Master of Science in engineering and a minimum of 3+ years of computer or software engineering experience
  • Minimum (5) years of demonstrated technical experience in a data engineering role
  • Proficiency with the following technologies: 
    • Cloud platforms and services (Ideally AWS)
    • Data processing frameworks (e.g., Spark/MapReduce, Storm)
    • Queueing and Event Streaming Platforms (e.g., Kafka, AWS Kinesis, RabbitMQ)
    • Data lakes and distributed data stores (e.g., Snowflake, Delta Lake, Hadoop, BigQuery/BigTable, Redshift, Minio)
    • Querying tools (e.g., Athena, Presto)
    • ETL/ELT (e.g., Apache NiFi Glue)
    • Relational and NoSQL databases
    • SQL, schema design, warehousing
    • Data orchestration and cataloging tools (e.g., Airflow, Kubeflow, Glue catalog, Databricks Unity)
  • (5) years experience contributing to production systems or other relevant experience
  • Experience with design, architecture and implementation of big data pipelines
  • Demonstrated knowledge and experience with cloud computing technologies
  • Proficient in other programming languages such as Python, Kotlin, and Java
  • Solid foundation in computer science fundamentals from data structures and algorithms to high level design patterns

Total Rewards Package for Our US Employees

  • Competitive salary
  • Comprehensive benefits package
  • 401k with a 5% company match
  • Equity
  • Paid Holidays and Unlimited PTO
  • 4 months paid parental leave
  • Remote work environment
  • Flexible work schedule
  • Patent Bonus Program
  • Employee Referral Bonus Program
  • Learning and Development Program
  • Opportunity to work with a team of creative, motivated, fun, and mission focused Annomals!

Total Rewards Package for Our Poland Employees

  • Competitive salary
  • Comprehensive benefits package via LuxMed
  • PPK via Pekao
  • Paid Holidays and PTO
  • Remote work environment
  • Flexible work schedule
  • Employee Referral Bonus Program
  • Learning and Development Program
  • Opportunity to work with a team of creative, motivated, fun, and mission focused Annomals!

Quick Note on Role Fit

If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box , please still connect with us at talent@anno.ai. Feel free to submit a cover letter with your application so we can get to know you better!

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