CloudMinds is a well-funded, global, "stealth" startup, developing next generation cloud-based robotics and mobility solutions for enterprises. While we can't tell you too much about what we're inventing, we can say that we have a team of incredible people from Google, Samsung, Huawei, Cisco, Baidu, China Mobile, IBM, Sony and MIUI helping us create truly innovative robotics technologies. And, with a stellar team of leaders, investors and advisors in place, we're already getting traction with potential customers.
We are growing our Silicon Valley office and we're hiring talented, high-energy, driven professionals who are passionate about building companies. We strongly believe in teamwork and collaboration, and we're an ideal company for people who really enjoy taking ownership of their work and want to be accountable for their area of business. We genuinely value and respect transparency, curiosity and diversity - if those values are important to you (and if you really like cool robotics technology), you should be talking to us.
Machine Learning scientist/engineer
We are seeking a machine learning scientist who can apply the latest methods for text analysis to solve practical problems in conversation handling and question answering.
- MS in Computer Science
- PhD preferred
- 5+ years of experience in machine learning, applying a range of techniques to text processing
- Experience with deep learning, GPU-based implementations, boostrapping, and/or online learning desirable
- Experience implementing ML algorithms (in addition to use of existing libraries) a plus
- Research and publication experience desirable
- Experience with existing ML libraries such as TensorFlow desirable
In addition to offering unlimited opportunities for growth and career development, CloudMinds also offers competitive compensation packages including base, bonuses, equity and full benefits.
If you think you're a good fit for us, please send send us your resume and cover letter:
CloudMinds is an equal opportunity employer and makes hiring decisions solely on the basis of merit.