Senior Machine Learning Engineer
Palo Alto, CA
Applications have closed
CAPE Analytics
We are looking for a strong, thoughtful Deep Learning specialist. The successful candidate will work on building, extending and maintaining Cape’s Machine Learning methodologies, and work closely with our Data Scientists, Machine Learning Engineers and Software Engineers.
What you will do
- You will develop and train state-of-the-art Deep Learning models on our large-scale aerial imagery datasets.
- You will apply established performance metrics for the evaluation of your work.
- You will own and run Proof of Concept projects and feasibility studies, from taxonomy definition, dataset creation, data cleaning, architecture selection, training, hyper-parameter optimization to evaluation and documentation, etc.
- Must work with and collaborate with other teams (Platform Engineering, Solutions Engineering, etc.) to support them with your Machine Learning expertise and problem solving skills.
- You are required to keep yourself up-to-date with recent developments in the Deep Learning research community.
- You will contribute to our continuously growing Deep Learning software framework.
Skills
- Expert knowledge: Deep understanding of the underlying theory of Deep Learning techniques as well as hands-on experience with one of the relevant Deep Learning libraries, e.g., Pytorch and TensorFlow. Experience with OpenCV is a plus.
- Strong Problem Solving and Algorithms Skills: You understand how to approach challenging problems and deliver pragmatic solutions.
- Strong Programming Skills: Advanced knowledge and significant programming experience in Python programming or other scripting language including relevant libraries like NumPy, Pandas, Matplotlib.
- Self-starter: You enjoy working out problems and can translate high-level tasks and guidance into tested, readable, high-quality code.
- Team Player: You want others to succeed just as much as yourself and enjoy working in a collaborative environment. You are working across domains to solve complex, large-scale problems.
- Communication Skills: We are a distributed team in Munich and Mountain View. Very good command in written and spoken English and solid communication and presentation skills are key in order to work efficiently.
Education and Experience
- You should have a PhD in Computer Science, Mathematics, Physics or a comparable field with publications at the top tier Machine Learning conferences (NIPS, ICML, ICLR, CVPR, etc.) or a MS with at least 2 years experience of applying Deep Learning in industry.
What we expect
- Self-driven and result-oriented
- Willing to learn from as well as mentor and assist other employees and teams
- Willing to support our team in California working in different time zones
- Willing to travel a few times a year
- Build and define the company culture together with us
We believe:
*Talent is critical, but best when tempered with humility*Self-motivation leads to the best outcomes*Open, direct communication is a sign of respect*Teamwork drives success*Having fun together is an important part of the job
***CAPE Analytics is an E-verify participant.***
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Computer Vision Deep Learning Engineering ICLR ICML Machine Learning Mathematics Matplotlib NumPy OpenCV Pandas PhD Physics Python PyTorch Research TensorFlow
Perks/benefits: Conferences
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