Machine Learning Engineer/AI Engineer

Machine Learning Engineer/AI Engineer

The data team is the central nervous system of business operations. As an MLE/AI Engineer on the team, you will help develop and deploy data tools backed by ML and genAI.

This role will involve developing and implementing machine learning workflows, prompt engineering, designing tests to ensure that solutions meet business requirements, and presentation of data narratives for data scientists and other stakeholders at the company.

There will be a wide range of growth opportunities for this role, including stretching different technical skill sets (e.g. exploring new model frameworks or building familiarity with data engineering tools).

This full-time role will report to Head of Data and will be remote. 

As an MLE/AIE, you will collaborate closely with the rest of the data team to:

• Query and gather data from multiple sources.
• Develop and fine-tune ML/AI workflows to solve business problems.
• Deploy ML/AI algorithms as a part of a data software solution.
• Perform statistical analyses.
• Review code written by your teammates and offer constructive feedback that makes the team better.
• Visualize the results, either in a dashboarding platform or in scripted code.
• Present a comprehensive data story for nontechnical stakeholders.
• Learn (if interested) genAI, MLE, and other engineering skill sets actively used by the team, as they align with your personal or professional development.

We are looking for someone with:

• 1-3 years of experience extracting insights from data and applying machine learning algorithms.
• Experience deploying data products (i.e. MLE).
• Established track record in statistics and quantitative reasoning.
• Fluency in Python and SQL.
• An exceptional attention to detail, given that much of the teams work involves merging and reconciling data from multiple sources.
• A cautious adventurer mindset in tackling new challenges, including those in unfamiliar subjects.
• The ability to think carefully through and anticipate plausible edge cases and possible pitfalls.
• A hands-on approach to innovation: when you have a great idea, you are excited to design and execute a proof-of-concept.

We are actively seeking candidates with unique and diverse work backgrounds to grow our team. We are especially excited to talk to you if have:

• Background in the social or physical sciences.
• Experience working with real estate data, economics data, geographical data, or image data.
• Experience building knowledge graphs and relationship models.
• Experience working with PowerBI, Tableau, Looker, or similar BI platform.
• Experience working with Salesforce or other CRM data
• Familiarity with source control (e.g. git) and container (e.g. Docker) tools.