AI Software Engineer

Key Skills

Amazon RedShift, Apache Airflow, Docker, Kubernetes-K8s, Linux Operating system, Machine learning techniques, MongoDB, MySQL, Natural Language Processing (NLP), Postgres, Python Programming, SPARK Programming, SQL, Statistical modeling

Job Description

As an AI Software Engineer, you will participate in the delivery of algorithms that enhance the daily life and professional outcomes of our end-users. You will join a team of other software engineers, Machine learning engineers, big data and cloud engineers, all responsible for the delivery of Ada from the ground up. This role sits between the Machine Learning team and the platform team, ensuring the productization of the algorithms for optimal performance on the platform. You will ensure that the algorithm code is delivered through our continuous integration and automated testing frameworks and support their integration by/with other products via high-performing and well documented APIs. Ideal candidates will bring a well-rounded skillset capable of spanning customer-focus, data science and software development disciplines to shape and support our production-grade machine learning solutions.

The Ada team is looking for an AI Software Engineer.

Do you have a passion for building great products? Do you believe in customer-centricity? Do you have strong analytical, interpretative and problem-solving skills? Do you want to work in a positive, can-do environment where collaboration and growth mindset are valued?

Join us!

Our team’s values:

• We focus on building software that adds value for our customers
• We believe that the best idea or opinion precedes the title of its author
• We are respectful of everybody’s “think” time, optimizing meetings and limiting interruptions as much as possible
• We value attitude over aptitude; no jerks allowed
• We value ownership, accountability, openness in collaboration and feedback
• We test our code before handing it off: unit tests, ML tests, (continuous) integration tests, etc
• We believe in reusing existing solutions over reinventing the wheel, and automating where possible
• We seek continuous improvement, individually and as a team

Principle Accountabilities:

• Productize algorithms in true enterprise-grade applications, that are deployable, trainable, and updatable fully automatically, using our continuous integration and automated testing frameworks
• Support the algorithm integration by/with other products via high-performing and well documented APIs
• Improve the CI/CD and automated testing frameworks as needed
• Interface with ML engineering and platform teams for a cadenced development of production-grade algorithms
• Design and develop proof-of-concept solutions as needed

Minimum Education, Experience, & Specialized Knowledge Required:

• MS or PhD degree in Computer Science, or 2-5 years relevant experience in software development
• Advanced proficiency with at least Python (experience with SQL and other languages a plus)
• Good scripting and programming skills, including object-oriented programming
• Experience with software engineering best practices (programming, testing, version control, agile development, etc)
• Experience with source control (GitHub) and working in a Linux environment
• Creative problem solver with a solid understanding of statistics, text analytics, natural language processing and/or machine learning methods and strategies
• Experience with optimizing machine learning algorithms and back-end for more performant APIs a plus
• Database and data processing experience a plus (MySQL, MongoDB, Redshift/Postgres, graph databases, Spark, Apache Airflow)
• Experience with containerized deployments (Docker container) and Kubernetes a plus
• Experience distilling and presenting complex concepts to a business audience
• Excellent communication (written and oral) and interpersonal skills

To be successful as a member of the Ada Team, the candidate must also:

• Work well in a collaborative, team-based environment (both work autonomously and as part of a team)
• Be a self-starter who enjoys collaborating
• Is flexible and able to work in a fast-paced, dynamic environment
• Is fast and efficient and able to juggle multiple projects
• Consider feedback as an opportunity to grow