What you will do
Own a scoped machine learning project from problem framing through evaluation and integration, under the guidance of experienced engineers.
Build data pipelines in Python that clean, label, and structure NDT sensor data, documents, or operational records for model training and inference.
Train, evaluate, and iterate on models, and design evaluations that reflect how the output will be used in the field.
Integrate a model or LLM-based workflow into a service or tool that other engineers and Forward Deployment Engineers can use.
Investigate failure modes on messy, real-world data, document what you find, and recommend what to fix next.
Use version control, code review, testing, and experiment tracking to produce work others can reproduce and build on.
Present your project, results, and recommended next steps at the end of the internship.
Technologies We Use
Python, PyTorch or similar ML frameworks, NumPy and pandas, SQL, LLM APIs and agent frameworks, Git, Linux, and cloud infrastructure (GCP). Depending on the project, you may also work with signal-processing tools for ultrasonic data, document-processing and information-extraction pipelines, or orchestration tools such as Airflow. The specific tools will depend on the assigned project.
About You
You are an engineer who happens to work in machine learning. You care whether a model works on real data, not just on a benchmark, and you are comfortable owning the code around the model: the pipeline, the evaluation, and the integration. You approach new problems methodically, communicate clearly about results and uncertainty, and are excited to be the first person to look at a problem.
Required Skills
Currently pursuing a bachelor’s, master’s, or doctoral degree in computer science, electrical engineering, applied mathematics, physics, or a related technical discipline, with an expected graduation date between December 2027 and May 2028.
Ability to work onsite in New York, Monday through Friday, for the full Summer 2027 internship.
Strong programming experience in Python, including writing well-structured, tested code beyond notebooks.
Coursework or project experience in machine learning, including training and evaluating models on real datasets.
Working understanding of linear algebra, probability, and statistics.
Working familiarity with Git or similar version control systems.
Strong written and verbal communication skills, including the ability to explain results, quantify uncertainty, and collaborate on ambiguous problems.
Ability to independently close knowledge gaps, stay organized, and learn from feedback.
Preferred Skills
Graduate-level coursework or research in machine learning, signal processing, or computer vision.
Experience taking a model beyond a notebook: building a pipeline, an API, or a tool around it.
Experience with LLM APIs, retrieval, information extraction, or document understanding.
Experience with time-series or sensor data, especially ultrasonic, acoustic, or other physical measurements.
Exposure to cloud infrastructure, preferably GCP, and to containers such as Docker.
Interest in industrial, defense, or infrastructure applications where reliability matters.
WHO WE ARE
At Gecko, our people are our greatest investment. In addition to competitive compensation packages, we offer company equity, 401(k) matching, gender-neutral parental leave, full medical, dental, and vision insurance, mental health, ongoing professional development, family planning assistance, and flexible paid time off.
Gecko values collaboration, innovation, and partnership, and we believe we do our best work when we're together in person. We’re an office-first culture but understand that sometimes you may need to work from home. Many people are in the office five days a week, others need a bit more flexibility. Ultimately, we care about the outcomes we achieve - and creating a culture of autonomy and trust that enables that impact.
Gecko is committed to creating a culture of inclusion and belonging, and we are proud to be an equal opportunity employer. We believe it is our collective responsibility to uphold these values and encourage candidates from all backgrounds to join us in our mission to protect today’s infrastructure and give form to tomorrow’s. All qualified applicants will be treated with respect and receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, veteran status, age, or any other protected characteristic per federal, state, or local law. If you are passionate about what you do and want to use your talents to support our critical mission, we’d love to hear from you.
