Full-Time Senior Deep Learning Engineer

In this role, you'll be programming in Python to create the core software that powers advanced computer vision and modeling applications. These tools use complex math to interpret and generate visual data, like images or 3D models.

You’ll get to work with the latest research in fields like artificial intelligence, computer vision (helping users “see” and understand images), and computer graphics (generating images or animations).

The ideal candidate will have a proven track record of success in machine learning projects, a strong technical background, and excellent communication skills.

Responsibilities include, but not limited to:

• Implement, in Python, core deep-learning/computer vision and (inverse-) procedural modeling algorithms, with varying levels of oversight. These algorithms rely on mathematical techniques from linear algebra, probability, and geometry.
• Apply cutting-edge research in machine learning, computer vision, and computer graphics.
• Work closely with leadership to understand high-level product vision and customer requirements.
• Utilize Git for effective source code management.
• Deploy and test your code on large scale geospatial datasets (and ultimately generate 3D content that will be available to users) This requires you to interact with remote machines via a Unix shell.

Minimum Qualifications:

• Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• Minimum of 3+ years of relevant industry experience, ideally within a fast-paced, high-growth tech environment.
• Proficiency in Python
• Experience training artificial neural networks or adjacent experience (e.g. gradient descent / nonlinear optimization / classical machine-learning)
• Team-oriented and collaborative approach with a demonstrated aptitude, enthusiasm and willingness to learn new methods, tools, practices and skills
• Strong communication skills with the ability to translate complex technical concepts into clear, accessible language for non-technical stakeholders.
• Hands-on experience with TensorFlow and Keras (or similar frameworks) in developing, training, and deploying deep learning models.
• Experience working with geospatial datasets and tools such as GIS, GeoPandas, or similar libraries.

Desired Characteristics:

• PhD in degree in Computer Science, Engineering, Mathematics, or a related field
• Familiarity with modern C++
• Experience with Git is preferred, but a background with Mercurial or other DVCs is an acceptable substitute.
• A mathematical background covering linear algebra, probability, multivariate calculus, geometry, and numerical methods.
• Confidence in a Unix shell environment (e.g. bash) is essential for working in our setup.
• Problem-solving skills, attention to detail, and the ability to thrive in a fast-paced environment.

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