Machine Learning Software Engineer (Pred ictive Modeling), Early Stage...

Employer Name Google X   Address 0000
Job Type Full Time   Address 2
Experience   City Mountain View
Education   State California
  Zip Code 94035

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Job Description

Machine Learning Software Engineer (Predictive Modeling), Early Stage Project
Software Engineering
Mountain View, CA
X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About X:

X is Alphabet’s moonshot factory. We are a diverse group of inventors and entrepreneurs who build and launch technologies that aim to improve the lives of millions, even billions, of people. Our goal: 10x impact on the world’s most intractable problems, not just 10% improvement. We approach projects that have the aspiration and riskiness of research with the speed and ambition of a startup.

About the team:

We are an early stage X team focused on using machine learning to build predictive models that could be used in different fields and industries. We are a small team and there is plenty to do for someone interested in building cutting edge technology and building world-class predictive models.

About the role:

You will be leading the project’s ML track, building models to capture the influx of data from different fields and industries. You will be a hands-on engineer on the project and bring ML expertise to the team . We are looking for passionate and driven people, who are comfortable moving between creative, big-picture thinking and tactical execution in a fast-paced, fluid environment.

How you will make 10x impact:

Be a thought partner on the strategy and execution on the project. This will include refining the “moonshot” vision/hypothesis, as well as setting the long, medium, and short term milestones and tactics for the project.
Be an active engineer on the project. You must be willing to get your hands dirty!
Drive key decisions on software architecture and technology roadmap: balancing longevity with rapid prototyping; assess and scope technical feasibility of possible new products.
Develop modelling techniques aimed at risk extrapolation, reinforcement learning approach & invariant risk minimization approach.
What you should have:

PhD in a STEM field such as CS, Physics, Chemistry, Earth Sciences, or Mathematics/Statistics.
Software engineer experience and experience with machine learning systems, algorithms or applications such as: deep learning and computer vision.
Experience with Earth Engine and functional programming.
Experience with TensorFlow, Apache Beam/Dataflow, Google Compute Engine.
Experienced iterating on existing ML models and dictating data engineering processes.
An ability to thrive in unstructured work environments with rapidly changing requirements.
It’d be great if you also had these:

Demonstrated personal passion to apply talents towards solving big global problems.
Startup / early product development experience.
Excellent at prioritization and time management.
Solid written and verbal communication skills.
Experience with using ML on image time series data / video data.
Experience with tiffs and tiff projections into physical spaces (aka GeoTiff).
Openness to working across the stack - data pipelines to ML models to UI.
At X, we don't just accept difference - we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

If you have a disability or special need that requires accommodation, please contact us at: [email protected]

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