Machine Learning Engineer

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

Role at a Glance

As a Machine Learning Engineer at Gecko, you will be working with Gecko’s unique dataset to develop and deploy machine learning models to solve critical business problems. You will work deeply on problems such as: classifying valid vs. invalid signals; taking accurate measurements from valid signals; and identifying damage mechanisms such as cracks, corrosion, or laminations across a large collection of signals. Gecko owns a growing repository of mechanical integrity data, including large volumes of ultrasonic, imagery, and other data points concerning the integrity of critical infrastructure assets worldwide.

Gecko is expanding our Machine Learning team to better leverage the vast data store we have collected over time. This is a chance to be one of the first dedicated engineers in an area we expect to grow significantly over the next few years, within a space that is ripe for innovation and solving problems in a way they haven’t been attempted before.

What you will do

• Develop novel (supervised and unsupervised) ML models to help solve important business problems, becoming an expert in unique domains like ultrasonic digital signal processing for non-destructive testing.

• Roll out models to production by developing integrations with mission critical analytical tools and building the necessary ML Ops infrastructure to support high quality iteration.

• Help Gecko identify new problems we could tackle with AI/ML (such as defect detection, automated repair planning, and more) and help cultivate necessary training sets to start solving those problems.

• Help Gecko make its digital twins as realistic and as true to real world physics as possible

• Python, PyTorch, Numpy

• Docker, GCP, Cloud Run, Batch, Collab

• Ultrasonic DSP

We use a variety of technologies, but our Software teams primarily operate using Python, React, and Typescript with Google Cloud Platform (GCP) as our cloud provider. This is a non-exhaustive list and we are tech agnostic in our interview process, so we encourage you to apply regardless of your background.

About You

Required Skills

• 5+ years of engineering experience, with at least 3+ years in a dedicated machine learning role

• Practical knowledge of machine learning algorithms and frameworks suitable for time-series analysis and anomaly detection in signal data

• Ability to read and implement ML papers

• Knowledge of at least 1 machine learning framework (i.e. PyTorch) and has seen at least one ML model in production

• Familiarity with MLOps concepts

• A strong sense of intellectual curiosity, and the desire to dive deep into exploratory projects alongside production ready deployments

• Preference for projects with high ownership, and the ability to work effectively both autonomously and on teams

• Desire to have a high impact at a fast-moving startup as a key contributor on a new project and fast-growing team

• Exceptional communication skills and commitment to receiving and providing continuous feedback

• Bachelor’s degree in Computer Science or closely related field (or equivalent experience)

Preferred Skills

• Experience with PyTorch

• Experience with MLOps tools such as MLFlow

• Knowledge of signal processing techniques

• Machine Learning work in ultrasonic signals, audio signals, or another unconventional domain

• Machine Learning work in simulating physical phenomena

• Experience setting up and interpreting the results of FEA/ CFD simulations and the like.

• Evidence of clear impact and growth in a fast-growing startup environment

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 and wellness support, 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.