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Machine learning engineer

Boston
AirFlow Dynamics
Machine learning engineer
Posted: 7 July
Offer description

Airflow Dynamics—the U.S. branch of Taiwan-based Ruiyang MEP Engineering—delivers end-to-end HVAC air-purification and ISO-rated clean-room solutions for semiconductor, biotech, and advanced-manufacturing facilities. We integrate licensed MEP scopes, develop custom BAS/automation controls, and commission all key equipment, providing warranty-backed results from concept through final inspection.

Responsibilities

* Build and deploy AI / data-analytics models that improve HVAC energy efficiency and operational stability.
* Develop data pipelines that ingest BAS/BMS and sensor streams and monitor key performance indicators.
* Design interactive dashboards (e.g., Grafana, Plotly, or similar) so operators can visualize model outputs, real-time system data, and energy-savings trends.
* Generate optimization set-points and integrate them with building-control systems (API / BACnet / OPC UA).
* Produce clear technical documentation and present energy-savings results to internal teams and clients.
* Work 100 % remotely with cross-functional software and MEP teams to deliver project milestones.

Required Qualifications

* Bachelor’s degree (or higher) in Computer Science, Software Engineering, Data Science, or a closely related field. (Candidates with Mechanical/Building-Science backgrounds may also be considered if they can demonstrate strong data-analytics and Python development skills.)
* 2 + years of Python development for data analytics, ML, or industrial-IoT applications.
* Proven knowledge in at least one of the following: supervised ML, optimization, time-series analytics, or building-energy modeling.
* Working understanding of commercial HVAC or central-plant operation (chillers, cooling towers, pumps, AHU/MAU).
* Experience with SQL or time-series databases and Git-based workflows.
* Strong problem-solving skills, ability to manage multiple tasks, and deliver results with minimal supervision.
* Excellent written and verbal communication; able to translate technical insights for non-technical stakeholders.
* Authorized to work in the United States — or eligible for company-sponsored work visa if fluent in both Mandarin and English.

Preferred Qualifications

* Master’s degree in engineering, data science, or related discipline.
* 2 + years deploying ML/analytics in production (Docker, Kubernetes, or serverless cloud functions).
* Experience with BAS/BMS data, HVAC systems, or any physical-system time-series (nice but not required).
* Familiarity with BAS protocols (BACnet/IP, Modbus-TCP, OPC UA) or Niagara Framework.
* Mandarin proficiency for collaboration with our Taiwan R&D team.

Interview Process

* HR screen
* Technical screen
* Meet With VP
* Employer-paid basic medical coverage (employee only)
* Retirement plan with company contributions (401 k match)
* Paid time off: vacation & sick leave, plus paid holidays
* Remote-first culture; Cambridge office available for team sprints & hardware testing


Seniority level

* Seniority level

Entry level


Employment type

* Employment type

Full-time


Job function

* Job function

Engineering and Information Technology

Referrals increase your chances of interviewing at AirFlow Dynamics by 2x


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