About Us
There are products that customers think are cool at the moment, and then there are products that customers cannot live without because they are so incredibly useful. At Matician, we are building the latter because these are the products worth spending our lives on. We want to build great products to solve real problems.
We believe that sensors and algorithms are finally good enough to reimagine home devices and apply Level 5 autonomy and mobility so that people can save time and energy bypassing repetitive and mundane tasks inside the home.
We're a small team with a singular focus on product that combines technologies such as vision, ML, structure-from-motion, and robotics. Our goal is to ship products that people love.
Job Description
Computer Science/Engineer to join our early core team with BS/BEng or MS/MEng with 4+ years of professional experience.
We are looking for someone who is:
- An out-of-box thinker and doer, unafraid of solving really-hard-problems, and willing to do whatever it takes to ship extremely useful products.
- Curious, asks lots of questions, challenges conventional wisdoms, and doesn’t shy from contrarian opinions/approaches.
- Sees around the corner and proactively identifies and mitigates long-range risks.
- Someone who prioritizes user needs, functionality, and usefulness
- Detail-oriented and has pride in their work.
Qualifications
- Ability to solve problems and identify areas of improvement
- Ability to write clean, reliable code that can be easily maintained
- Experience with working on computer vision, machine learning or NLP problems
- Familiarity with modern Deep Learning algorithms
- Excellent verbal and written communication skills
- Comfortable with running and interpreting common statistical tests, and common data science techniques and supervised and unsupervised learning
- Experience building production-ready NLP systems is a plus
- Familiarity with non-standard machine intelligence models (Reinforcement Learning, Hierarchical Temporal Memory, Capsule Networks) is a plus
- Successfully trained and deployed a deep learning machine model (image, NLP, video, or audio) into production, with measurably improved performance over baseline, either in industry or as a personal project
- You know the ins and outs of Python, especially as it applies to the above ML frameworks
- You have a working knowledge of Python, C++, PyTorch/TensorFlow, ROS, Docker
- Ability to work in a fast-paced, autonomously driven, and demanding start-up atmosphere
Responsibilities
- Collaborate with the HW, SW, and Algorithms team to bring product vision to life.
- Everything involved in applying an ML model to a production use case
- Designing and coding up the neural network, gathering and refining data, training and tuning the model
- Deploying it at scale with high throughput and uptime
- Analyzing the results in order to continuously update and improve accuracy and speed